ANALYTICS SPECIALIST JOB DESCRIPTION

When campaign spend runs for weeks before anyone notices the tracking was broken at launch, the damage is real and hard to reverse. The Analytics Specialist prevents that by owning measurement integrity, KPI frameworks, and performance reporting across digital channels and paid media programs. This role sits within a marketing or digital team, typically partnering with channel managers, product owners, and external agency partners. Converting raw behavioral data into decisions that move conversion rates and return on ad spend is the daily currency here.

As the Analytics Specialist, you translate digital channel performance data into structured insights and measurement frameworks that guide marketing investment across web, paid, and owned channels. You work within a marketing or digital analytics function, partnering with campaign managers, CRM teams, and external agency partners to ensure every channel is measured consistently and every insight has a clear next action.

Career Impact: Owning cross-channel measurement and KPI governance in a digital marketing environment builds a competency profile that is in high demand across ecommerce, retail, and subscription businesses, where attribution expertise directly shapes budget decisions.

Business Impact: Marketing teams without a dedicated Analytics Specialist routinely misread channel performance, misallocate spend, and miss conversion improvement opportunities that a well-structured measurement framework would surface within a single reporting cycle.

Growth Opportunity: The combination of tagging implementation, attribution modeling, and campaign analytics developed here provides a direct path toward senior analytics roles, marketing science leadership, or data strategy positions within larger digital organizations.

• Define and maintain KPI frameworks aligned to campaign objectives, digital channel strategy, and business conversion goals.
• Implement and audit tracking setups across paid, owned, and earned channels to ensure data accuracy and consistent attribution.
• Build and manage automated reporting dashboards that surface performance trends, anomalies, and optimization opportunities for marketing stakeholders.
• Analyze campaign and audience performance data to produce actionable recommendations that improve return on ad spend and conversion rates.
• Design and support A/B and multivariate tests on digital properties, measuring results against defined hypotheses and reporting findings to channel owners.
• Govern tagging standards and data layer specifications across web and app properties to maintain measurement integrity over time.
• Partner with CRM, product, and agency teams to align reporting requirements, share audience insights, and coordinate cross-channel measurement coverage.
• Monitor funnel performance and customer behavior patterns to identify drop-off points and recommend improvements to the digital experience.

• Bachelor's degree in Marketing, Analytics, Business, Computer Science, or a related field, or equivalent work experience.
• 2 or more years of digital analytics experience, with demonstrated ownership of campaign measurement and reporting in a multi-channel environment.
• Proven ability to define, implement, and govern KPI frameworks across paid, web, and CRM channels.
• Working knowledge of tag management concepts, data layers, and conversion tracking implementation across web and app properties.
• Experience designing and interpreting A/B tests, including hypothesis formulation, sample sizing, and results analysis.
• Solid understanding of attribution models and how channel interaction data informs marketing budget decisions.
• Strong written and verbal communication skills, with the ability to present data-driven findings clearly to non-technical marketing stakeholders.
• Ability to manage multiple concurrent projects, prioritize competing requests, and meet reporting deadlines independently.

• Experience with consent management platforms and privacy frameworks such as GDPR and CCPA as they affect tracking implementation.
• Familiarity with ecommerce platform analytics, including behavioral tracking on transactional sites and mobile applications.
• Background in marketing automation or CRM analytics, with experience connecting campaign data to customer lifecycle stages.
• Knowledge of statistical methods including regression, significance testing, and segmentation as applied to marketing performance analysis.

• KPI framework coverage rate, measured as the percentage of active campaigns with fully defined and validated tracking.
• Tracking accuracy rate, measured by the proportion of tagged events passing QA validation without errors across web and app properties.
• Dashboard adoption rate, reflecting the share of marketing stakeholders actively using self-serve reporting within 30 days of launch.
• A/B test velocity, measured as the number of structured experiments completed and reported per quarter.
• Campaign attribution coverage reflects the percentage of spend captured within the attribution model versus untracked or direct traffic.
• Typical tools: web analytics platforms (commonly Google Analytics 4 or Adobe Analytics) and tag management systems (commonly Google Tag Manager)

• Base Salary Range: $65,000 to $95,000 annually, depending on experience and market
• Bonus: annual performance bonus of 5 to 10 percent of base salary
• Equity: not typically offered at this level in digital marketing roles
• Health Benefits: medical, dental, and vision coverage standard
• PTO: 15 to 20 days annually plus standard US public holidays
• Common Perks: professional development budget, remote or hybrid work options, access to analytics certification programs

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Work authorization in the United States is required for this position, and employment is contingent on successful completion of a background check. Reasonable accommodations are available to qualified individuals with disabilities throughout the application and employment process - applicants requiring accommodations should notify the hiring team at the time of application. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected under applicable federal, state, or local law.

The Customer Experience Analytics Specialist owns cross-channel customer journey measurement for Pandora's newly established Customer Journey Orchestration Team, analyzing behavior from first ad click through customer service interactions. Working with stakeholders across the business, this role delivers funnel exploration, KPI reporting, and data-driven recommendations that directly optimize the end-to-end customer experience.

Key Responsibilities

• Work with stakeholders across the business to gather global data and explore the customer journey via data analysis.
• Do deep dive analysis on customer behavior across different channels and touchpoints and build recommendations for the business.
• Process data on customer behavior to identify behavioral patterns and do funnel exploration.
• Provide valuable inputs to build business cases and support decisions on pilot projects.
• Support Project Specialists on risks and opportunities in relation to pilot projects on customer journey orchestration.
• Work on KPI definitions, monitoring, and reporting to optimize customer experience.

Required Qualifications

• Degree in Data and Analytics, Business Analytics, Marketing Technology, Digital Marketing, Marketing, Customer Insights, or similar.
• Minimum 2 years of experience working within data and analytics, marketing performance management, or similar.
• Cross-channel measurement experience is a big plus.
• Experience with the Adobe stack, the Google stack, and the Salesforce Commerce Cloud is a plus.
• Experience in retail, fashion, or FMCG industry is a plus.
• Experience from a global organization is a plus.

Reporting to the Manager of Marketing Science, the Digital Analytics Specialist establishes the long-term web and app measurement vision, translating business unit requirements from MARCOM, Product, Customer Experience, and Technology into technical specifications and leading end-to-end implementation of tracking, reporting, and Google Tag Manager solutions. Working across internal teams and external vendors, this role ensures measurement coverage that enables data-driven marketing decisions across the organization.

Core Functions

• Establish the long-term data collection strategy pertaining to web and app properties for Marketing Analytics.
• Establish and own web data processes and roadmap, partnering with different teams to set and fulfill reporting requirements.
• Govern web analytics solutions and web measurement strategy and framework.
• Oversee all phases of digital analysis to formulate strategy, discover opportunities, define requirements, and assess designs of qualitative and quantitative methods.
• Liaise with different business units to ensure measurement alignment, translation of business requirements into technical implementation, and end-to-end management of web analytics projects.
• Implement and maintain web analytics requirements, including Google Tag Manager, Marketing Toll-Free Numbers, tracking, and conversion actions tracking.
• Foster a culture of measurement by promoting onsite experimentation through A/B Testing, heatmap, and survey solutions, and web-based audience segmentation.
• Manage relationships with external web analytics vendors.

Qualifications and Experience

• University degree required, with web analytics certifications considered an asset.
• Minimum 5 years of experience in the Digital Analytics field, with previous experience in the payment industry considered an asset.
• Solid understanding of web and app tracking and analytics, including working knowledge of data layers and tag management systems.
• Knowledge of JavaScript for implementing and QA-ing tracking.
• Experience integrating Google Analytics with CRM systems, Google BigQuery, and advertising platforms, with Salesforce as a strong asset.
• Reasonable understanding of statistical methods about study design, hypothesis testing, and analysis.
• Google Marketing Platform experience using Google Analytics, Google Tag Manager, Google Data Studio, and Google Optimize, with hands-on GA4 experience as a strong asset.
• Proficiency in Microsoft Windows and MS Office applications.

Embedded within the ICT Strategy and Portfolio function, the Senior Data Analytics Specialist develops, implements, and supports Data Warehouse, Business Intelligence, and Advanced Analytics solutions that integrate with enterprise applications to improve organizational decision-making. Working closely with stakeholders and technical teams, this role architect and manages end-to-end BI and analytics delivery while maintaining relationships across all management levels.

Primary Duties

• Architect, design, implement, test, and manage data and analytics solutions in collaboration with stakeholders and technical teams.
• Support and promote adherence to IM Governance principles and policies when designing solutions.
• Document business requirements using Project Governance Methodology tools, templates, and guidelines.
• Assist process owners with developing and implementing process dashboards, top-down analytics, and advisory support.
• Design and build best-in-class Business Intelligence solutions leveraging available BI technologies.
• Manage all phases linked to the Strategy and Architecture of Business Intelligence, Advanced Analytics, and Data Warehouse.
• Manage issues, resolve conflicts between projects, and escalate where required.
• Facilitate technical design workshops, manage release and deployments into production, and provide level 3 analytical support.
• Develop and maintain relationships with internal and external customers, suppliers, and Process Owners across all management levels.

Skills and Qualifications

• Tertiary qualifications in an IT-related discipline.
• Demonstrated data architecture and dimensional data modeling experience.
• Experience delivering Business Intelligence and reporting analytics solutions using strong database technologies, programming, and technical architecture.
• Experience working with Oracle Warehouse and ETL tools like ODI and Informatica.
• Strong experience with Cloud Technologies, including Azure Blob Storage, Azure SQL Data Warehouse, Azure Data Lake Store, Snowflake, or similar platforms.
• Knowledge of Agile methodologies, including Scrum, Kanban, XP, and Scaled Agile Framework (SAFe).
• Broad experience across a range of data stores.

Sitting at the intersection of digital strategy and data governance, the Digital Analytics Specialist defines and implements the analytics roadmap across the Quilter digital estate, collecting and analyzing information to optimize platform performance. Operating across internal teams, analytics suppliers, and agency partners, this role builds measurement capability and delivers actionable reporting that enables data-driven channel decisions.

Duties

• Build and manage the digital analytics capability, including defining and driving the future strategy.
• Review, set up, and manage digital tracking and analytics tools.
• Define and maintain scorecards with goals linked to expected outcomes for websites and applications.
• Provide clear, actionable insight and reporting to optimize the performance of digital channels.
• Promote digital analytics across the organisation and demonstrate the importance of data-driven decision making.
• Manage analytics suppliers and agencies, agreeing on performance measures and reviewing regularly.
• Define and configure automated reporting based on relevant performance measures and trigger thresholds.
• Ensure appropriate digital governance and standards are in place and adhered to.
• Lead or indirectly manage a team, providing leadership and mentoring as required.

Experience and Qualifications

• Strong technical experience implementing and using digital analytics tools, preferably Google Analytics and session replay tools.
• Knowledge of financial services is required.
• An analytical mindset with the ability to use data and metrics to develop solutions for customers.
• Excellent written and verbal communication skills, with the ability to positively influence and build strong working relationships at all levels.
• Ability to embrace change and initiate new ways of working collaboratively to achieve shared objectives.
• Strong results focus, with the ability to take initiative and drive disciplined delivery of objectives.
• Commitment to continuous personal development, keeping up to date with advances in technology to deliver innovative solutions.

A key member of the Technical Accounting team, the Business Analytics Specialist maintains data quality standards and enables continuous process improvements by leading the premium validation process, quality reporting framework, and reinsurance data workbooks. Collaborating across internal teams and directly with clients, this role produces calculations and insights that support in-force portfolio management and timely business decision-making.

Functions

• Lead the delivery of the quality reporting framework, measuring operational success in line with Key Performance Indicators, interpreting results, and proactively identifying areas for improvement.
• Take full ownership of the premium validation process, including creating tools for validation, analyzing results, and resolving issues directly with clients.
• Manage internal communications regarding premium validation prioritization, outcomes, and identified obstacles.
• Lead initiatives using new technologies to improve efficiency, data accuracy, and timely sharing of business insights.
• Provide expert support during the initial setup and maintenance of data workbooks to optimize reinsurance account handling.
• Contribute to the proactive management of the in-force portfolio by supporting the recapture process and producing initial calculations.
• Support ad hoc requests, both project-based and one-off.

Background and Experience

• Excellent analytical skills with experience working with large data sets.
• Understanding of reinsurance is an asset.
• Demonstrated problem-solving skills with the ability to take ownership of tasks and find creative ways to overcome obstacles.
• Intermediate to advanced level skills in Microsoft Excel.
• Accomplished interpersonal and communication skills, with a clear standard of written and verbal communication to both technical and non-technical audiences.
• Ability to build collaborative relationships with both internal colleagues and clients.
• Ability to support and train other team members.

Actionable financial insight and reporting visibility for BRP's internal clients depends on the Advanced Analytic Specialist, who leads the design, build, and maintenance of world-class models and Power BI reporting for the finance business domain. Based within BRP's finance analytics team, this role partners with business and finance leaders to shape a next-generation cloud data platform and delivers strategic recommendations that support the company's transformation agenda.

Accountabilities

• Lead, design, build, deliver, and maintain world-class models and reporting for the finance business domain.
• Remediate current on-premise reporting solutions to leverage best-in-class cloud capabilities.
• Develop deep understanding of various finance processes and support building process documentation and automation solutions.
• Participate in business and executive meetings to gather requirements and make recommendations around reporting and BI solutions.
• Prioritize work with the team and ensure a forward-looking roadmap for features to be delivered on data products.
• Provide strategic audience recommendations to stakeholders.
• Mentor and train internal stakeholders in analytics.
• Collaborate with management in assessing new best practices and opportunities to improve processes.

Education and Experience

• Bachelor's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Economics, or Finance.
• Master's degree in Statistics, Applied Math, Economics, Computer Science, or a related quantitative field.
• 8 or more years of experience in large projects with solid experience in ETL, data analysis and profiling, data mapping, data modeling, data lakes, and analytics.
• Experience and knowledge of the Snowflake data platform and experience with statistics and machine learning techniques.
• Very strong Excel skills, including advanced formulas and macros, with strong experience in SQL, Power BI, Power Query, DAX, R, Python, and Low Code applications.
• Excellent written and oral communication skills with an ability to connect the dots and tell stories using data.
• Detail-oriented with a passion for quality and enthusiasm for new technology.

As the Digital Analytics Specialist, this role leads the implementation of strategic tracking projects across global digital touchpoints, preparing and distributing reports and dashboards for markets worldwide. The analytics and expert group network relies on this work to advance Google and Adobe Analytics implementations, KPI definitions, and data-driven optimization recommendations that reach senior management.

Key Deliverables

• Lead and implement strategic projects in the area of Digital Analytics.
• Define requirements for the implementation of tracking specifications in digital touchpoints.
• Define KPIs following the business units requirements.
• Prepare, coordinate, and test Google and Adobe Analytics implementations.
• Prepare, coordinate, and test customer surveys.
• Manage suppliers and participate in internal network meetings of project teams and expert groups.
• Prepare and distribute reports and dashboards for markets worldwide.
• Analyze and interpret collected data and deduce recommended actions and optimization measures.
• Communicate and present results to management.

Technical Qualifications

• University degree in information technology or business administration with a technical background or related fields, with at least 3 years of professional experience in a similar role.
• Minimum 3 years of professional experience in the area of digital analytics, with experience in the automotive and financial services area as a plus.
• Very good knowledge of Google or Adobe products, especially GA360 and Adobe Analytics.
• Solid knowledge of visualization tools such as Power BI and experience with Microsoft SQL Server, including database design.
• Technical skills in C# .NET Core, ASP .NET Core, object-oriented programming, and REST API or web services.
• Frontend development skills in AngularJS, HTML, CSS, and JavaScript are beneficial.
• Hands-on knowledge of the Qualtrics survey platform, GitHub, and Jira, with knowledge of PowerShell Scripting and OpenID Connect as beneficial.
• Outstanding analytical and communication skills with excellent customer orientation, ability to work under pressure, and experience in international environments.

Data Analytics Specialist drives GBU performance management by monitoring KPIs, building forecasting models, and centralizing commercial data across internal and external sources to generate actionable business insights. The work directly supports brand teams, digital transformation strategy, and data governance activities including data stewardship, standardization, and democratization across the organization.

Areas of Ownership

• Drive GBU performance management by continuously monitoring agreed-upon KPIs against market and competition in a holistic manner.
• Translate business questions into designed analysis including forecasting and scenario modeling to generate actionable business insights on strategic decisions.
• Contribute to strategic brand plan development and guide brand teams by providing necessary information predicting market evolution.
• Develop and coordinate a detailed launch management plan to ensure smooth brand activation and define, track, and follow up on KPIs to monitor pre-launch and post-launch performance.
• Centralize all commercial data leveraging internal and external sources, increase data quality and trustworthiness, and enable actionable insight generation.
• Contribute to the development of data management strategy tied to business goals and objectives supporting digital transformation.

Minimum Qualifications

• Master's degree or Bachelor's degree in related fields.
• Ability to develop important relationships with key stakeholders and operate in a cross-cultural and complex matrix environment.
• Outstanding process and project management skills.
• Excellent interpersonal and communication skills.
• Fluent in English and Turkish, both written and spoken.

The Google Analytics Specialist owns the ecommerce web analytics suite for 511tactical.com and third-party marketplaces, capturing data, building custom reports, and designing A/B tests that improve user experience and conversion. Working with the ecommerce marketing team, this role delivers statistical analysis and governance processes that scale data-driven growth and maximize return on investment across digital channels.

Job Functions

• Capture ecommerce web analytics data primarily in Google Analytics.
• Provide in-depth and insightful custom reports to communicate key metrics and findings.
• Recommend and work with the team to create A/B or multivariate tests to improve user experience and conversion.
• Document marketing strategies and processes and recommend improvements.
• Manipulate Google Analytics data into readily available forms using quantitative and statistical analyses to make data meaning plain for team consumption.
• Analyze campaign data and provide insights to adjust strategies that deliver maximum return on investment.
• Support cross-channel partners by generating custom reports to business needs.
• Plan, design, and build a data analytics suite in Google Analytics.
• Establish standard processes, procedures, and governance to onboard, set up, maintain, and track data for reach, engagement, performance, and other metrics.

Professional Experience

• 3 or more years of experience in web analytics for a direct-to-consumer channel, ideally in retail with heavy focus on advanced Google Analytics techniques.
• Google Analytics Certification preferred.
• Well-rounded understanding of the mechanics of ecommerce retail channel site tracking and marketing.
• Deep knowledge of statistical techniques for measuring effectiveness of marketing, sales, and merchandising.
• Experience with data products that package ecommerce information, site and mobile app instrumentation, and advertising performance.
• Proficiency in visualization tools like Power BI and Looker.
• Ability to work collaboratively with the ecommerce marketing team to derive logically attributed data metrics and formulate effective marketing tactics.
• Experience in SEM and SEO optimization is a plus.

Reporting to leadership within the People Analytics Practice Group, the Analytics Specialist supports key client relationships by designing analytical models, custom dashboards, and impact ratio analyses that address diversity, equity, and inclusion programs, pay equity, and OFCCP compliance. Partnering with clients and internal resources, this role translates complex workforce data into actionable talent strategy recommendations that drive informed hiring, promotion, and retention decisions.

Day-to-Day Responsibilities

• Provide OFCCP audit and compliance-driven support.
• Design, develop, and implement analytical solutions to address client needs, including developing custom analyses, dashboards, and reporting.
• Interpret, understand, and present results with a strong emphasis on identifying actionable insights and deliverables.
• Design analytic models to address questions and business challenges in the People Analytics space.
• Collaborate with other key resources to define strategies, develop standards, and address client business needs.
• Assist clients with applicant tracking and general employment tracking systems.
• Prepare impact ratio analysis using human resources information to analyze employment activity such as applicants, hires, promotions, transfers, and terminations.

Knowledge Skills and Abilities

• College degree or equivalent experience required.
• 7 or more years of relevant experience in data analysis and people analytics strategy in a consulting or equivalent environment.
• Demonstrated experience building models and analyzing key personnel metrics including performance ratings, turnover, hiring, promotion velocity, and attrition.
• Strong background in Diversity, Equity, and Inclusion related analytics preferred.
• Advanced Excel skills and demonstrated understanding of statistical methods preferred.
• Exposure to artificial intelligence and machine learning tools preferred.
• Professional experience with Tableau required, with coding experience preferred.

Embedded within a marketing technology environment, the Analytics Specialist defines KPI models, implements pixels and tagging management tools, and creates automated dashboards with real-time alerts to monitor campaign efficiency and digital product performance. Working closely with brand and marketing function teams, this role generates conversion rate optimization recommendations and validates ROI across digital product projects.

Scope of Work

• Define and tailor measurement plans to ensure proper digital product results aligned to brand and marketing function strategy through KPI plan management and strategy deployment.
• Implement pixels and measurement tools to ensure platform optimization and precise metrics to measure and monitor campaign efficiency.
• Ensure web design elements are properly measured on a consistent way to drive business and campaign objectives through platform measurement, objective configuration, and tagging management tools.
• Establish a clear KPI model with precise metrics to diagnose product current state and create a measurement framework to validate effectiveness and achievements of campaign objectives.
• Create and monitor automated dashboards and real-time alerts to perform real-time analysis and react to underperforming products and campaigns.
• Monitor traffic channels and generate recommendations to ensure optimal operation, cost reduction, and conversion rate increase to validate ROI for digital product projects.
• Generate digital product enhancement recommendations on navigation structure, behavior, and enhancement opportunities to increase conversion rates.

Position Requirements

• Higher Certificate, Diploma, or relevant tertiary qualifications in digital strategy, analytics, Computer Science, or a relevant field.
• 2 years of experience in web analytics fundamentals, digital product tagging, Google Tag Manager, and Google Analytics.
• SEO fundamentals and paid media experience including Facebook Ads, Google AdWords, and Search Console.
• Clear understanding of digital product creation lifecycle including web pages, apps, and ecommerce.
• Knowledge of HTML and JavaScript fundamentals, DSP, DMP, and Ad Servers.
• Experience with project management tools and UI and UX design or development experience.

The Analytics Specialist delivers advanced data analytics support across the Technical Expertise and Support organization, with a primary focus on the maintenance domain, using tools including R, Python, SAS, SQL, and Tableau to translate business challenges into solution methodologies. Collaborating with subject matter experts and a diversity-focused team, this role drives performance insight through data mining, visualization, and statistical analysis.

Work Activities

• Collaborate with subject matter experts to fully understand the domain.
• Use tools for advanced data analytics to analyze historical data and identify key variables driving performance.
• Translate business challenges into analytical terms and use rigorous techniques to solve problems.
• Lead project steps to create solution methodologies such as data mining, statistics, visualization, and optimization.
• Broaden application of a set of tools including R, Python, SAS, SQL, Excel, Tableau, and Power BI.
• Bring passion to a team with a strong diversity and inclusion focus.

Requirements

• Bachelor's degree in Engineering, Mathematics, or a related science or technical discipline.
• Experience at or above a U.S. E6 ranking or Canadian Petty Officer 2nd Class ranking.
• 1-2 years of relevant experience.
• Working knowledge of one or more tools including R, Python, SAS, SQL, and Excel.
• Working knowledge of data visualization techniques using tools such as Power BI, JMP, and Tableau.
• Must possess a TWIC card or be eligible to obtain one.

Reporting to the Analytics Manager, the Data Analytics Specialist serves as the primary liaison between business end users and the global QlikView development team, translating business needs into reporting requirements and developing dynamic BI dashboards and reports. Partnering with cross-functional teams, this role delivers data collection schemes, visualization solutions, and trend analysis that support timely, informed business decisions.

Role Responsibilities

• Serve as the primary liaison between business and the global QlikView development team.
• Translate business needs into reporting requirements in conjunction with the QlikView development team to support business decisions and strategy.
• Facilitate the design, construction, and enhancement of dynamic business intelligence solutions built on QlikView, including regular and ad hoc reports and dashboards.
• Develop and implement data collection schemes and wrangle data to optimize process efficiency and data quality for use in multiple applications.
• Create, maintain, and improve local QlikView objects, reports, and dashboards.
• Use data visualization skills to present data in a comprehensible and useful way to a broad spectrum of business users.
• Identify, analyze, and interpret trends and patterns in complex data sets.

Education and Experience

• Bachelor's degree in computer science, mathematics, statistics, data science, or similar field with 5 years of related experience in business analysis, report development, accounting, finance, or portfolio analytics, or equivalent combination of education and experience.
• 5 years of experience with visualization software - QlikView.
• Experience with modeling software such as R or Python.
• Experience with SAP or a similar ERP system is a plus.
• Must be adept at queries, report writing, and presenting findings.

Sitting at the intersection of health insurance analytics and business strategy, the Analytics Specialist designs data-driven solutions and builds reports aligned to ahm's OKRs, measuring campaign performance and delivering actionable optimization insights to support the Squads. Operating across the Strategy and Analytics team, this role applies proven analytical techniques to large, complex datasets to drive sustainable competitive advantage and performance outlook.

Operational Focus

• Provide a clear and comprehensive analysis across both private health insurance and diversified product portfolios.
• Design and develop bespoke data-driven solutions through proven analytical techniques aligned to enable ahm's business strategy, OKRs, and sustainable competitive advantage.
• Build reports in line with the weekly, monthly.
• Quarterly needs of the business with a specific focus on supporting the Squads with insight development.
• Measure campaign performance and deliver actionable insights on campaign optimization and opportunity sizing.

Skills and Qualifications

• Degree qualified in Analytics, Data Science, Engineering, Commerce, Econometrics, Economics, Information Management, Business Statistics, or another business-related discipline.
• Demonstrated expertise using extremely large, complex data sets with a proven track record in analytics.
• Highly proficient in SAS, SQL, and Tableau or Power BI, with exposure to Python and R desirable but not essential.
• Strong self-starter who can work both autonomously and in a team environment.
• Innovative and analytical with strong problem-solving ability using relevant data to provide insight and drive performance.
• Skilled at working collaboratively with others and actively contributing to the achievement of common work goals.

Reporting to the Digital Marketing Manager, the Digital Analytics Specialist drives decision making within CPA Australia's digital environments by analyzing data, conversions, and user behavior trends across all digital channels. Working in collaboration with the marketing team, stakeholders, project teams, and developers, this role delivers automated reporting frameworks and strategic recommendations that improve member experience and campaign performance.

Key Responsibilities

• Report on website traffic, trends, conversions, and insights across all digital channels.
• Use Google Analytics and Google Tag Manager as the primary data source and additional tools and APIs as necessary.
• Deliver a detailed reporting framework through automated dashboards and data visualisation tools supported with insights and recommendations to improve member experience and campaign performance metrics.
• Present detailed analyses and insights that are easy to digest and make strategic.
• Recommendations to stakeholders and external agency partners.

Required Qualifications

• Experience with Google Analytics and Adobe Analytics to analyse user behaviour.
• Experience working with multi-channel marketing.
• Very strong data analytics and insights analysis, synthesis, and implementation skills.
• Strong strategic thinking, influencing, and collaboration skills with business analyst experience.
• Data manipulation expertise using Google Data Studio and or Power BI.
• Outstanding communication and influencing skills using data to tell stories.
• Customer-focused and driven with a business focus and ability to inspire transformational action.

A key member of a property risk analytics team, the Property Analytics Specialist evaluates CAT models, assesses new data sources, and develops competitive insight dashboards that drive innovation in property risk assets. Collaborating across an interdisciplinary and multicultural environment, this role identifies process improvement opportunities and delivers well-documented code and visualization solutions that support model development and client use cases.

Core Responsibilities

• Assess new data sources for property database enrichment and work on client use cases.
• Evaluate vendor CAT models and internal models to drive innovation in property risk assets.
• Identify, analyze, and interpret trends or patterns required for model development.
• Validate and maintain model versions.
• Develop and maintain dashboards that give competitive insights to clients.
• Locate and define new process improvement opportunities and automate wherever needed.

Qualifications and Experience

• 4 or more years of experience in property CAT modelling and portfolio analysis with a quantitative background in engineering, statistics, or economics.
• Very good experience writing well-documented code in R and or Python with versioning in Git.
• Expertise in visualization tools to build dashboards such as Power BI, Dash, and R Shiny.
• Excellent data handling skills with the ability to optimize SQL queries, with experience in Azure environment as a plus.
• Ability to handle unstructured data, perform entity resolution, and fuzzy mapping is a plus.
• Strong analytical and problem-solving skills with great attention to detail and accuracy.
• Strong interpersonal and communication skills with the ability to confidently present ideas in an interdisciplinary and multicultural environment.
• Self-starter who is methodical, well-organized, adept at multitasking, and meeting deadlines in a delivery-focused environment.

As the Analytics Specialist, this role engineers end-to-end cloud-based analytical solutions by designing and deploying hybrid back-end landscapes comprising BW, HANA Cloud, Azure, and Google across a globally distributed integration and analytics team. The BI Squad and business application teams rely on this work to convert functional designs into scalable technical solutions and advance data governance, access controls, and architecture standards.

Strategic Responsibilities

• Work closely with Data and BI analysts in the BI Squad to provide insights into business processes and convert functional designs into solid technical solutions.
• Design, implement, and deploy cloud platforms to support and meet business needs, and identify and implement opportunities for improvement and performance issue solutions.
• Design, implement, and support a platform providing secure source data integration.
• Define backend and frontend source target architecture complemented with integration technologies delivering reliable and scalable solutions.
• Develop and maintain the hybrid back-end landscape comprising BW, HANA Cloud, Azure, and Google.
• Perform data modelling, enhancements, and customization of data models in SQL and Non-SQL environments.
• Follow and support data governance, access controls, and established architecture to ensure appropriate data access.

Technical Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or similar.
• 4 or more years of experience in an international business analytics role.
• Proven experience in end-to-end analytical technologies including integration, with working experience in at least two of the big hyper scalers such as SAP, Google Cloud Suite, or Microsoft Azure Suite.
• Capable of defining IT Governance, strategies, IT Architecture, and transformation maps considering hybrid and multi-cloud environments.
• Experience with SQL, MySQL, NoSQL, APIs, and integration with SAP and non-SAP systems.
• Knowledge of Agile and Scrum framework with excellent listening, communication, and interpersonal skills.
• Skilled at translating requirements into actionable metrics and KPIs to support business processes.

The Analytics Specialist creates end-to-end Data Science solutions for J and J MedTech EMEA, serving as technology lead from proposal through delivery while accelerating adoption of machine learning and predictive modeling techniques across business and technology teams. Working closely with Data Scientists, Product Owners, and Subject Matter Experts, this role shapes the vision and roadmap for Data Science and ensures business requirements are accurately translated into compliant, operationalized outcomes.

Ownership Areas

• Accelerate the adoption of Data Science techniques across the organization in a value-focused, customer-centric way, operating as a change agent in partnership with business and technology teams.
• Partner with business teams to identify Data Science opportunities including business impact and critical dependencies across people, process, and technology.
• Serve as technology lead on Data Science projects from accepted proposal to customer delivery, meeting technical, budget, quality, and timeframe requirements.
• Drive collaboration between Data Scientists, Product Owners, Subject Matter Experts, and Technologists on opportunities, priorities, constraints, and challenges.
• Provide practical guidance to Data Science project teams based on hands-on experience from previous projects.
• Ensure business requirements are accurately collected and well-defined, and establish trusted strategic partnerships with external vendor partners.

Background and Experience

• Degree-level qualification in Computer Science, Mathematics, or Statistics.
• Certification in Data Science, Artificial Intelligence, or Machine Learning.
• Clear understanding of data analysis workflows and statistical methods such as hypothesis testing and probability modeling.
• Experience delivering Data Science solutions including operationalization of predictive outcomes in end user solutions, and experience in machine learning techniques such as regression, decision trees, clustering, and neural networks.
• Experience working with Design Thinking and Agile and SAFE methodologies, with exposure to IT compliance including Privacy, Security, and GDPR.
• Hands-on experience in Python, R, SQL, and Cloud technologies such as AWS, Azure, and Google.
• Experience in business intelligence, company-wide reporting, and knowledge of healthcare-relevant data sets.
• Excellent written and spoken English with other languages advantageous, and the ability to interact well with senior leadership.
• Able to break down complex issues, empower virtual teams, and clearly explain technical concepts in understandable business language.

Analytics Specialist refines corporate KPI dashboards and Tableau-based reporting tools that touch every part of the business, providing the Senior and Executive Leadership Teams with data-based insights on current business performance and customer usage. The work directly supports cross-functional accountability by centralizing data flows and co-developing process improvements that drive revenue and customer value across product, marketing, and finance.

Performance Expectations

• Own business intelligence tools by administering and acting as the power user of Tableau.
• Improve and maintain Corporate KPI dashboards and reports, working with tool owners and stakeholders to centralize data flows.
• Provide insights and analysis on current business and customer usage to enable informed decisions on process and model changes.
• Analyze business models and strategies given customer trends and needs.
• Communicate and co-develop business process improvements that drive revenue and customer value.
• Work with counterparts in product, marketing, and finance to surface information, increase accountability on goal setting, and drive efficiency across the organization.

Minimum Qualifications

• Post-secondary degree with a specialization or training in business analytics, with an advanced business degree or Master's in Analytics preferred.
• Minimum 4 years of experience in business intelligence or analytics roles.
• Experience or knowledge of the Supply Chain industry and understanding of SaaS company operations with a focus on the b2b customer lifecycle.
• Advanced Excel and SQL skills with strong experience in business intelligence and data visualization tools such as Tableau and Power BI.
• Knowledge of Python, Snowflake, or other data analytics tools, and experience with reporting in Salesforce or working with Salesforce data.
• Ability to manage projects requiring input from stakeholders across the organization with great attention to detail and organized thinking.
• Able to articulate complex concepts accurately with logical structure in written and verbal communications.
• Strong problem-solving ability with capability to work across teams, deal with ambiguity, and deliver results.

Embedded within a marketing operations environment, the Analytics Specialist builds a consistent measurement platform for campaigns and life-stage marketing programs, producing weekly and monthly reporting from marketing data repositories and managing full project-cycle accountability from A/B testing through attribution analysis. Working with global partners and key technology stakeholders, this role delivers data-driven stories and actionable insights that optimize lead generation, retention, and overall marketing performance.

What You'll Do

• Partner with key technology partners to ensure the right data architecture is in place for capturing and integrating large amounts of disparate data.
• Create a consistent platform for the measurement of marketing campaigns and activities within the marketing operations department.
• Produce weekly and monthly reporting with key metrics from marketing data repositories.
• Manage full project-cycle accountability including tracking, testing, creating A/B tests, measuring campaign performance, and comparing results to benchmarks.
• Collaborate with global partners to understand in-market programs, best practices, and results.
• Provide data-driven, actionable insights for campaigns and life-stage marketing programs such as lead generation, welcome and onboarding, engagement, and retention.
• Measure marketing correlation and direct attribution between each marketing tactic within various campaigns and business performance.

Qualifications and Experience

• Bachelor's degree in marketing or quantitative disciplines.
• 3 or more years of experience in marketing analytics or a similar role.
• Experience in multi-channel marketing including digital, social media, email marketing, direct mail, and advertising.
• Demonstrated experience in data mining, market research, segmentation, and user testing to drive business decisions and high-performing marketing programs.
• Intermediate to expert technical skills in SQL, R, and Python, with experience in reporting tools such as Alteryx, MicroStrategy, and Business Objects.
• Understanding of marketing automation tools and CRM such as Pardot, Salesforce, HubSpot, and Eloqua, with knowledge of Google Analytics, Ads, and Tag Manager as beneficial.
• Advanced proficiency in Microsoft Office including Excel, PowerPoint, and Teams.
• Excellent communication and interpersonal skills with ability to build strong cross-functional relationships.

The Analytics Specialist coordinates end-to-end client analytics projects at Overdose, spanning conversion tracking implementations, tag management, dataLayer specification, and CDP platform rollouts such as Segment and Lexer. Serving as a trusted advisor to both clients and internal teams including Client Success, Marketing, SEO, and Design, this role champions data through performance reporting frameworks and continuous evaluation of emerging tools that fuel ecommerce growth.

Key Responsibilities

• Deliver economic value to clients through meaningful and growth-focused data initiatives.
• Understand client pain points and business questions and ideate how they can be answered through the use of data.
• Drive the planning and execution of client projects spanning analytics, conversion tracking implementations, tag management, dataLayer specification, and tracking audits.
• Work with the wider team to drive rollouts of data platforms such as CDPs, Adobe Analytics, and others.
• Proactively recommend new opportunities, ideas, and directions that can fuel growth through data and insight.
• Champion data within Overdose through continuous evolution of performance reporting frameworks.
• Be actively involved in the evaluation and piloting of new tools, contribute to client proposals, and support internal teams on ongoing data issues.

Technical Qualifications

• Advanced experience in Google Tag Manager with deep understanding of dataLayer concepts.
• Advanced capabilities in Google Analytics including Universal Analytics and GA4, Adobe Analytics, and Google Data Studio or similar tools.
• Understanding of data and conversion tracking for marketing platforms such as Facebook Ads, Google Ads, and Bing Ads.
• Experience implementing analytics tracking on e-commerce platforms such as Shopify, Magento, and BigCommerce.
• Ability to work with Consent Management Platforms and understanding of privacy frameworks such as GDPR and CCPA.
• Basic understanding of JavaScript, HTML, and CSS, with working experience in Google BigQuery and Google Cloud Platform as an advantage.
• Exceptional analytical and problem-solving skills with ability to convey insights effectively through visualizations in BI tools.
• Ability to work autonomously and as part of a team, managing multiple tasks and adhering to deadlines.

Analytics Specialist executes SQL and Python analysis across multiple data sources, developing ecommerce and website insights for Pearson's digital platforms while assisting the Data Visualization lead with Tableau and Python Dash dashboards. Success in the position means delivering analytics implementation support, AB testing, and CX measurement within a large-scale technical project environment while balancing multiple priorities with clear written and verbal communication.

Core Functions

• Work with multiple data sources, conduct analysis in SQL and Python, and perform various data warehousing activities.
• Work on projects to develop insights across a range of Pearson's websites and ecommerce platforms as a web analyst.
• Assist the Data Visualization lead in constructing.
• Maintaining dashboards in Tableau and Python Dash.
• Assist across the team with analytics implementation, AB testing, and CX measurement.

Skills and Qualifications

• Strong SQL skills with BigQuery preferred, familiarity with database design and optimization, and experience with APIs for data extracts.
• Experience in Tableau or Dash preferred, with a keen interest in data visualization and coding for applications and statistical analysis.
• Experience in web development including HTML, CSS, JavaScript, Dash, and Flask, as well as standard statistical tools such as Pandas and NLTK, with R and JavaScript as beneficial.
• Ability to review analytics data from sources such as Google Analytics and draw insights and conclusions.
• Good understanding of basic web principles including HTML, CSS, accessibility, forms, iFrames, URL and domain structure, and familiarity with SEO, AdWords, social media tagging, and UTM parameters.
• Proactive problem solver with a naturally inquisitive, independent, and creative mindset who is eager to learn and grow.

Reporting to a cross-functional analytics team, the Analytics Specialist develops and owns end-to-end analytics use cases from data extraction through dashboard and insights creation, designing and executing projects in collaboration with data engineers, data scientists, and finance specialists. Partnering with data engineers to improve data assets and quality, this role builds accurate self-service dashboards and structured reports that enable business users to make important, timely decisions.

Primary Duties

• Design and execute analytical projects in collaboration with business, data engineering, data scientists, finance, and other specialists.
• Proactively define the business problem and solution approach.
• Analyze and extract relevant information from structured data to help optimize key processes.
• Analyze and validate data to ensure high data quality and reliable insights.
• Partner with data engineers to improve data assets, quality, metrics, and insights.
• Build accurate and timely reports and self-service dashboards.

Education and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Operations Research, Mathematics, or a related STEM discipline.
• 3-4 years of relevant experience as a business analyst, data analyst, or in a statistical analysis role, including developing requirements and formulating business metrics for reporting.
• Professional experience developing with SQL, R, and Python to gather and analyze data.
• Familiarity with data visualization tools such as Power BI, Tableau, and DataStudio.
• Advanced written and verbal communication skills with fluency in Italian and English.
• Analytical and problem-solving skills with high attention to detail, methodical and logical approach, and ability to plan work and meet deadlines.

Analytics Specialist guides clients through Google Analytics, Google Tag Manager, and Google Data Studio implementations, installing and maintaining campaign tracking across platforms including Facebook, LinkedIn, Pinterest, and Google Ads to ensure data accuracy and integrity. Success in the position means staying current with the latest digital analytics tools and trends, delivering technical audits and ad hoc client reports, and collaborating across client services, production, and creative teams to achieve outstanding results.

Delivery Expectations

• Implement Google Analytics, Google Tag Manager, and Google Data Studio by answering deliverables and turning questions into solutions within a timely period.
• Install and maintain campaign tracking to ensure effectiveness across platforms such as Facebook, LinkedIn, Pinterest, Bing, Google Search Console, Google Ads, Google Optimize, Email Marketing Platforms, and Heatmap Software.
• Test and assess tracking setup, data, and reports to ensure data accuracy.
• Provide technical audits and reports of data analytics tracking and collected data as per best practices for data integrity.
• Research the latest tools and trends to grow data analytics ability.
• Simplify and present insights and solutions eloquently, and perform ad hoc reports for clients.

Position Requirements

• Minimum 2 years of experience in a technical role demonstrating the ability to analyze, solve complex problems, and work both within a team and independently.
• Google Tag Manager, Google Analytics, and Google Data Studio certifications preferred but not required.
• Experience with Facebook Pixel setup, LinkedIn tracking setup, or other marketing channels tracking setup preferred but not required.
• Committed to continued training and development in Digital Analytics and staying up to date on the latest tools and trends.
• Experience in providing technical support to clients and working with client services, production, and creative teams.
• Google Sheets, Excel, or other spreadsheet skills preferred but not required.
• High level of self-motivation, drive, and a proven track record of meeting and exceeding targets.
• Excellent communication skills, professionalism, and ability to prioritize multiple projects and provide reports and insights.

The Analytics Specialist strengthens commercial operations visibility for Electrification by creating Power BI dashboards, driving monthly ComOps and sales cadence meetings, and analyzing customer behavior data including Customer Report Cards and order resolution trends. Working with Supervisors, Post Sales Specialists, and Training leads, this role produces reporting systems and research-driven solutions that reduce administrative waste and improve customer data sync and tool adoption.

Scope of Work

• Drive monthly ComOps and sales cadence meetings across Bromont, marketing, IBV, Campus, Supply chain, and MD.
• Work with Supervisors, Post Sales Specialists, and Training leads to present pre-determined KPI results and project updates for each staff meeting.
• Analyze customer behavior including Customer Report Cards, order entry source, and order resolution to monitor trends and provide feedback to improve customer data sync and tool adoption.
• Create various reports and dashboards in Power BI.
• Gather and analyze data about returns to reduce administrative waste and create a dashboard and reporting system to feed information back to leadership teams.
• Conduct various research and analysis to help develop solutions to business problems.

Knowledge Skills and Abilities

• Experience in building reports and dashboards with a drive for data analysis.
• Process improvement experience with strong analytical evaluator skills and a focus on processes.
• Knowledgeable with Salesforce, Power BI, Excel, Access, and O365 suite.
• Proven organizational skills with ability to handle multiple projects simultaneously while maintaining high attention to detail.
• Strong sales and customer-focused orientation.
• Strong communication skills.
• Fluent in French and English, both spoken and written.

The Analytics Specialist manages operational metrics collection and reporting for all Customer Service and Logistics sites across CIS countries, preparing monthly PBR decks, analyzing P and L data, and organizing KPI deviation follow-up communications to support leadership reviews. Working directly with site representatives and finance functions, this role contributes to budget preparation, CapEx plan implementation, and holistic data interpretation that drives process management improvements.

Day-to-Day Responsibilities

• Collect and process operational metrics for all Customer Service and Logistics sites and related infrastructure of CIS countries on a regular basis to analyze the current situation, identify problem areas, and manage processes more effectively.
• Communicate with site representatives to obtain complete and correct information for the Scorecard, and consolidate and compare results against targets.
• Analyze information received from sites and prepare monthly CIS CS and L PBR decks to enable reviews across all CIS country sites.
• Collect comments on main KPI deviations versus targets and plans, and organize follow-up communications to capture opportunities.

Required Qualifications

• Higher education with previous experience in reporting and or analytics, with direct Supply Chain or Finance operational experience as a plus.
• Strong analytical and holistic data interpretation skills with proven troubleshooting skills and high attention to detail.
• Strong MS Excel and PowerPoint knowledge with expert-level MS Office and database management skills.
• Excellent communication skills with the ability to formulate targeted questions for clarification and understanding.
• Upper-Intermediate proficiency in English and Russian languages.

A key member of a marketing analytics team, the Analytics Specialist manages CRM campaign planning and customer journey creation, utilizing segmentation and personalization data to determine target groups and optimize return rates for retail and e-commerce campaigns. Collaborating with CRM, Marketing, and Senior Executive stakeholders, this role conducts A/B testing, tracks campaign performance, and produces weekly and monthly reports that support data-driven decision making across the business.

What You'll Do

• Be the analytical partner for key stakeholders in CRM, Marketing, and Senior Executive departments, promoting data-driven decision making and providing ad hoc information and insights.
• Utilize data for segmentation, audience creation, targeting, and personalization.
• Determine target customer groups for CRM campaigns in retail and e-commerce based on customer data to optimize return rates.
• Create and plan CRM campaigns and customer journeys with team members following the strategy.
• Perform A/B tests for elements of campaigns and communications, and follow up on success and performance of campaigns on a periodic basis.
• Create weekly and monthly reports for the team in addition to creating documentation and presentations for regular reviews.
• Participate in CRM-related projects and implementations.

Qualifications and Experience

• Bachelor's degree in related fields, with a Master's degree as a plus.
• Work experience in marketing analytics or data analytics is a plus.
• Experience in data analysis with one or more statistical software languages or applications such as SAS and SQL is a plus.
• Experience in structuring data to test hypotheses and develop key insights for marketing and external stakeholders is a plus.
• Advanced knowledge of Microsoft Office including Excel and PowerPoint.
• Passion for learning, investigating, and data-driven decision making that shapes a holistic view of the business with consideration for all aspects of customer experience.
• Ability to clearly communicate ideas and results to non-technical business people both written and orally, and ability to turn complex concepts into actionable recommendations.

The Analytics Specialist produces campaign performance insights and plans future marketing offers for the Coles analytics and insights team, defining and tracking KPIs, building and distributing audience targeting data, and automating reporting to support ongoing campaign optimization. Collaborating across Coles teams, this role applies advanced SQL and Excel skills alongside Adobe Analytics and Adobe Audience Manager to measure campaign effectiveness and activate digital audiences across multiple destinations.

Key Deliverables

• Define and track key KPIs for offers and marketing activities.
• Define and identify campaign audiences based on campaign objectives.
• Support delivery and execution of campaigns and manage the distribution of targeting data to multiple destinations in various formats.
• Maintain a clear view of audience usage, health, size, and underlying data, and understand how audiences can be activated.
• Automate reporting where possible and find process optimization opportunities.
• Assist in supporting other Coles teams in understanding how digital audiences can be used and reported on.

Experience and Qualifications

• Experience analyzing data to reveal new actionable insights that have driven real business value.
• Experience in designing, implementing, and analyzing tests to understand the effectiveness of campaigns.
• Solid understanding of attribution models and marketing channels.
• Advanced skills in Excel and SQL querying with relational databases essential.
• Experience with Adobe Marketing Cloud suite of products, primarily Adobe Analytics and Adobe Audience Manager, highly beneficial.
• Highly collaborative style with the ability to engage with a diverse range of stakeholders to meet targets.

Sitting at the intersection of technical data architecture and customer success, the Analytics Specialist drives overall market and technical strategy for data warehousing and analytics, working closely with customers to ensure successful adoption of services and guiding product development teams on roadmap direction. Operating across strategic enterprise accounts and senior management reviews, this role develops long-term partnerships and executes programs and workshops that grow the business in key market segments.

Executive Functions

• Serve as a key member of the Analytics Specialist team to help drive overall market and technical strategy for data warehousing and analytics.
• Work closely with customers to ensure they are successful using services and have the resources required.
• Understand the technical requirements of customers and work closely with product development teams to guide the direction of product offerings.
• Execute programs and workshops for strategic customers.
• Prepare and deliver business reviews to the senior management team regarding progress and roadblocks to growing the business.
• Develop long-term strategic partnerships in support of strategic customers in key market segments.

Professional Experience

• Bachelor's degree or equivalent required, with MBA, Computer Science, and or Engineering and Math background highly desired.
• Experience in pre-sales, technical account management, solutions architecture, business development, or program and product management.
• Strong data analytics technical knowledge with ability to differentiate between varied analytics approaches such as data warehousing, Hadoop, and operational analytics.
• Experience working with Oracle, Microsoft SQL Server, Teradata, IBM Netezza, or other data warehouse platforms.
• Working knowledge of software development practices and data center, infrastructure, and networking technologies highly desired.
• Must have Data Analytics experience with experience in large enterprise customer-facing roles.
• Strong verbal and written communication skills in both Japanese and English are required, with demonstrated ability to work effectively across internal and external organizations.

The Analytics Specialist executes complex data extraction, governance, and mining analysis to provide statistical reports and strategy insights that support operational decision-making, product optimization, and sales and marketing strategy. Working in collaboration with Data Scientists, Data Collection, and Product Design teams, this role translates complex datasets into key strategic approaches that improve data quality, accuracy, and timeliness across the business.

Core Functions

• Collect relevant requirements, analyze statistical calibres, and provide insights and statistical reports based on business data combining analysis and complex mining algorithms.
• Extract valuable information based on data and data analysis, and provide data support for operational decision-making, product optimization, and business and sales and marketing strategy.
• Work in collaboration with the Data Scientist to communicate and liaise with managers and decision makers, presenting findings in the appropriate manner for the audience.
• Analyze complex datasets and translate them into key strategy approaches for the business.
• Work with Data Collection and Product Design to achieve common goals of improving data quality, accuracy, and timeliness.

Education and Experience

• Bachelor's degree in Computer Science or equivalent experience related to Information Technology.
• 1 or more years of experience in database analysis, data mining, data statistics, and related work.
• Previous experience with Hadoop, Hive, Python, customer data analysis, collaboration with Product teams, and e-commerce or digital marketing and mobile applications.
• Proficient in SQL, R, Python, and other data analysis languages.
• Experience in data analysis, mining, and modeling.

The Analytics Specialist manages schedule adherence and real-time activity monitoring for a contact center program, analyzing contact center metrics and adverse event reports and providing detailed performance information directly to the client on staffing, service level, and marketing and medical information initiatives. Working alongside the management and quality teams, this role ensures adequate line coverage and delivers client reporting that supports program oversight and compliance.

Activities

• Assist with client reporting and real-time management responsibilities.
• Assist the client and management team with marketing and medical information projects.
• Provide metrics and data to management and quality teams.
• Provide analysis of contact center data to client and internal contacts.
• Monitor online and offline activities and provide work direction to agents to ensure staff schedule adherence and adequate line coverage.
• Analyze, capture, and assist with reporting on contact center metrics and adverse event and product complaint reports.
• Provide detailed information directly to the client concerning marketing, medical information initiatives, staffing, service level, and call metrics.

Required Qualifications

• Bachelor's degree with training and experience providing the knowledge, skills, and abilities to perform the job.
• Full fluency in English, written and spoken.
• Excellent organizational skills, strong attention to detail, and ability to handle multiple tasks.
• Time management skills with excellent interpersonal skills and the ability to work in a team environment or independently as needed.
• Effective verbal and written communication skills with excellent computer and keyboarding skills.
• Demonstrated confidence, initiative, and flexibility.