ANALYTICS ANALYST JOB DESCRIPTION

Behavioral data flows through every campaign, but when nobody translates it into decisions, media budgets drift and conversion targets slip. The Analytics Analyst answers that problem directly, owning the measurement layer that connects audience behavior to marketing outcomes across digital channels. This role is typically accountable for web clickstream analysis, tag implementation health, and campaign performance reporting for client portfolios ranging from programmatic buys to omnichannel content strategies. Seniority varies from individual contributor to specialist lead, depending on the scope of client accounts managed.

As the Analytics Analyst, you turn raw behavioral and campaign data into structured recommendations that guide media planning, audience targeting, and content strategy for client accounts across digital and programmatic channels. You work within a marketing or analytics team, collaborating daily with client services, media planning, and implementation specialists to ensure data collection is accurate and insight delivery is timely.

Career Impact: Consistent delivery of audience segmentation analysis and conversion reporting builds the kind of domain fluency that senior analytics and strategy roles at agencies and publishers actively recruit for.

Business Impact: The campaign optimizations and tagging recommendations this role produces directly affect client acquisition rates and media spend efficiency, outcomes that clients measure and renew contracts based on.

Growth Opportunity: Hands-on ownership of web analytics implementation and cross-platform measurement positions you to move into senior analytics, analytics engineering, or digital strategy roles as your scope of client accounts expands.

• Analyze website behavioral data including traffic sources, conversion funnels, and audience flow to identify performance patterns across client accounts.
• Design and maintain recurring dashboards and custom performance reports aligned to client-specific KPIs and campaign objectives.
• Implement and validate marketing tags within tag management systems to ensure accurate behavioral data collection across digital properties.
• Monitor campaign pacing and performance data across programmatic and digital channels to surface optimization opportunities for client teams.
• Conduct audience segmentation analysis to identify high-value groups for targeted campaigns, experiments, and personalization initiatives.
• Partner with client services and media planning teams to translate complex data findings into clear, actionable recommendations.
• Support ad hoc deep-dive analyses on consumer behavior, anomalies, and emerging trends as client or stakeholder requests arise.
• Document solution design, tagging specifications, and analytics configurations to support implementation accuracy and team knowledge continuity.

• Bachelor's degree in marketing, statistics, computer science, economics, business analytics, or equivalent work experience.
• 2 or more years of digital analytics or marketing analytics experience, with demonstrated exposure to campaign measurement or web data analysis.
• Demonstrated ability to query, manipulate, and extract insights from large behavioral or campaign datasets using SQL or SQL-like languages.
• Working knowledge of web analytics platforms, tag management principles, and digital tracking methods across web and app environments.
• Proficiency in data visualization and dashboard development to communicate performance trends to both technical and non-technical audiences.
• Strong quantitative reasoning skills with the ability to apply statistical concepts such as segmentation, significance testing, and trend analysis.
• Ability to manage multiple client deliverables concurrently, meeting deadlines with accurate, clearly presented outputs.
• Clear written and verbal communication skills, including the ability to present data narratives to clients and senior stakeholders.

• Experience working within programmatic advertising environments including DSPs, audience buying platforms, or agency trading desks.
• Familiarity with tag management implementation, including JavaScript-based debugging, data layer validation, and tracking QA procedures.
• Exposure to omnichannel or streaming media measurement contexts such as vMVPD, AVOD, or SVOD audience analytics.
• Prior experience in a client-facing or agency role, including direct stakeholder communication and presentation of analytical findings.

• Conversion rate movement across tracked client campaigns, reflecting optimization recommendation uptake.
• Tag implementation accuracy rate, measured by QA validation pass percentage across active client properties.
• Dashboard delivery timeliness, tracked as percentage of recurring reports delivered on or before the agreed schedule.
• Audience segment coverage ratio, measuring the proportion of total site traffic successfully assigned to defined segments for targeting.
• Ad hoc analysis turnaround time, reflecting responsiveness to client and internal stakeholder requests.
• Typical tools: Web analytics platforms (commonly Adobe Analytics or Google Analytics); visualization and reporting (commonly Tableau or Power BI); tag management (commonly Tealium iQ).

• Base Salary Range: $65,000 to $95,000 per year, depending on seniority and market.
• Bonus: Performance-based, typically 5 to 10 percent of base salary annually.
• Equity: Uncommon at this level in agency settings; possible at mid-stage tech firms.
• Health Benefits: Medical, dental, and vision coverage standard.
• PTO: 15 to 20 days per year, plus standard federal holidays.
• Common Perks: Remote or hybrid flexibility, professional development budget, analytics certification reimbursement.

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

Background check completion is a condition of employment for this role, and all candidates must be authorized to work in the United States without sponsorship. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected under applicable federal, state, or local law. Reasonable accommodations are available to individuals with disabilities throughout the application and employment process upon request.

The Analytics Analyst owns the compilation, analysis, and interpretation of operational, financial, and digital performance data across all OLG lines of business, delivering objective insights to senior decision makers up to and including the Executive Committee. Working closely with business units throughout the enterprise, the analyst builds predictive models and automated methodologies that identify gaming market opportunities and drive future profitability across Ontario.

Key Responsibilities

• Support analytical initiatives, projects and deliverables across all OLG lines of business.
• Proactively monitor customer and operational performance across the enterprise and report on areas of opportunity.
• Provide objective analytical expertise in the development of high-profile business cases and ad hoc projects.
• Develop new insights through research and exploration of internal and external information sources to drive future profitability.
• Drive analytical models and reports supplementing budgeting, forecasting, planning, trend analysis and benchmarking.
• Develop and maintain effective business relationships as the analytical subject matter expert within assigned specialization.
• Monitor published operational data and ensure accuracy, consistency, relevance and timeliness of information.
• Create support documentation for analysis findings, presentations, reports, training sessions and templates.
• Understand customer behaviour and assist in developing acquisition, augmentation and retention strategies.
• Participate in the development of predictive modelling to identify gaming market opportunity potential throughout Ontario.

Required Qualifications

• Bachelor's degree in business, commerce, statistics, computer science, economics, finance or mathematics.
• 5 or more years of experience in an analytical role.
• Experience working with BI reporting tools and statistical software.
• Experience working with Hadoop and related big data technologies.
• Experience building, updating and explaining data analysis and advanced analytical modelling.
• Experience wrangling, cleansing and automating disparate data sources to power analytical outputs.
• Proficiency in SQL, Hadoop, Hive, Spark, SAS, R, Python, Alteryx, Tableau, Power BI, GA 360 and Excel.
• Strong communication and presentation skills combined with the ability to coordinate multiple competing priorities to meet deadlines.

Embedded within the NYC office alongside Client Services and Media Planning teams, the Analytics Analyst reports into an Account Group Director and delivers cross-platform data analysis and industry trend insights for Arts and Entertainment clients. Working closely with internal teams and external clients, the analyst translates behavioral and campaign data into strategic optimizations that improve acquisition, conversion, and marketing performance.

Core Functions

• Regularly analyze website, ticketing and behavioural data to provide client-specific insights into customer trends and marketing campaign performance.
• Use statistical tools to interpret data sets and distribute digestible insights for clients.
• Monitor data insights across clients to develop weekly industry trends.
• Provide strategic optimizations and recommendations to improve efficiencies, acquisition and conversion performance.
• Create and analyze survey research.
• Perform timely deep dive analysis on audience behaviour and consumer flow as requests arise.
• Provide forward-thinking awareness and actions in collaboration with Client Services teams to develop projections and industry benchmarks.
• Bring problem-solving ideas and capabilities to the team.

Qualifications and Experience

• 3 or more years of experience in the data analytics field.
• Experience with survey creation and qualitative research analysis.
• Experience working with large data sets and distilling information for broader marketing applications.
• Proficiency in Microsoft Excel, Google Analytics and multi-platform research and data visualization tools.
• Strong quantitative skills including analytical abilities and math proficiency.
• Strong organizational skills with the ability to aggregate information and data from multiple sources.
• Superior attention to detail, time management and a collaborative mindset.
• Understanding of the digital space and developing technologies.

Reporting to senior analytics leadership, the Analytics Analyst leads strategic web analytics projects using Adobe Experience Cloud, analyzing website traffic, conversion funnels, and audience segments to surface impactful insights for key partners. Partnering with cross-functional teams including implementation, stakeholder groups, and data quality owners, the analyst builds scalable reporting solutions that inform personalization, campaign strategy, and business performance.

Primary Duties

• Analyze website data on traffic sources and patterns, order volume, conversion funnel, navigation behaviour and product selection.
• Work on stakeholder-specific analysis including campaign analysis, customer segmentation and profiling.
• Answer ad hoc questions through deep-dive analyses and create, maintain and improve reporting streams using Adobe Experience Cloud and traditional platforms.
• Lead strategic analytics projects and present clearly communicated findings that lead to impactful insights for key partners.
• Craft and build data sets for investigative analyses and scalable reporting solutions.
• Collaborate with various teams to ensure ongoing data quality and manage expectations with different stakeholders.
• Analyze audiences to identify key segments for targeted experiments, campaigns and personalization.
• Work with the analytics implementation team to troubleshoot data collection issues and maintain tags and analytics setup.

Skills and Qualifications

• Bachelor's degree in computer science, engineering, information systems or a related field, master's preferred.
• 2 or more years of relevant professional experience.
• Experience with Adobe Analytics Workspace and web clickstream data highly desired.
• Proficiency in SQL or SQL-like languages for querying, manipulating and analyzing large data sets.
• Knowledge of data science, machine learning, statistical modelling and data mining concepts.
• Proficiency in Tableau or Power BI for data visualization.
• Strong analytical and quantitative problem-solving ability with attention to detail.

Sitting at the intersection of compliance and data strategy, the Analytics Analyst develops and maintains analytical frameworks that translate complex regulatory requirements into actionable business intelligence for compliance, operations, and management stakeholders. Operating across structured credit and fixed income environments, the analyst delivers data mining, visualization, and explanatory modelling that identifies trends, surfaces risk, and drives efficiency improvements across the organization.

Duties

• Develop, implement and maintain leading-edge analytics by taking complex regulatory requirements and building simple frameworks.
• Identify trends and opportunities for compliance through analysis of complex data sets.
• Create best-practice reports based on data mining, analysis and visualization.
• Evaluate internal systems for efficiency, problems and inaccuracies and develop protocols for handling, processing and cleaning data.
• Work directly with compliance, business, operations and management to gather requirements, provide status updates and build relationships.
• Work closely with project managers to identify critical metrics and KPIs and deliver actionable insights to relevant decision-makers.
• Proactively analyze data to answer key questions from stakeholders and communicate areas for improvement in efficiency and productivity.

Experience and Qualifications

• 3 to 5 years of experience in structured credit or fixed income products preferred.
• Experience with direct deal modelling and interpreting legal documentation on moderately complex financial structures.
• Knowledge of structured credit or fixed income products.
• Proficiency in SQL or an advanced reporting or modelling platform.
• Proficiency in Microsoft Access and Excel.
• Exceptional analytical, communication, organizational and time-management skills.

A key member of the analytics team, the Analytics Analyst develops customized dashboards and campaign performance reports within Datorama to support programmatic advertising optimization across multiple client accounts. Collaborating across media, account, and senior analytics staff, the analyst applies technical knowledge of DSPs and audience buying to deliver strategic recommendations that improve campaign outcomes and measurement solutions.

Functions

• Use technical understanding of programmatic buying, audience buying and DSPs to provide strategic recommendations for successful campaign optimization.
• Create and maintain dashboards for all clients within Datorama.
• Analyze campaign objectives and performance data to identify new opportunities for measurement and analytics solutions.
• Develop customized reports to track and optimize campaign performance.
• Manage performance and pacing reporting for multiple stakeholders throughout the organization.
• Perform QA testing through reporting to ensure tags function properly.
• Develop and deliver insights and analytics presentations across multiple accounts under senior analytics and account staff.

Technical Qualifications

• Bachelor's degree in marketing, advertising, economics, computer science, information systems, business analytics or a related field, or equivalent professional experience.
• 1 or more years of relevant work experience with digital media experience desired.
• Prior experience with DSPs, agencies and trading desks preferred.
• Proficiency in Excel with the ability to review, analyze and present advertising reporting.
• Experience using data visualization tools such as Datorama, Data Studio and Tableau.
• Basic knowledge of tagging, online tracking and various campaign measurement technologies.
• Understanding of SQL, online marketing and web metrics preferred.
• Excellent interpersonal and communication skills.

Informed risk management across Information Technology, Human Resources, Compliance, and General Accounting depends on the Analytics Analyst, who develops data-driven audit objectives and executes analytic procedures that assess controls and surface potential risk. Based within the Global Assurance function, the Analytics Analyst supports 4 to 5 audits annually and collaborates with Audit Directors and Managers to strengthen risk management capabilities across first and second lines of defense.

Accountabilities

• Collaborate with audit directors and managers to develop data-driven objectives that assess business risks and controls.
• Work with business partners to extract, transform, load and validate data from relevant systems and sources.
• Use analytic tools to script, program and visualize data aligned to audit analytics objectives.
• Analyze and document observations and potential issues for use in audit planning.
• Find opportunities to develop analytics solutions for the first and second lines of defense to strengthen risk management capabilities.

Education and Experience

• Bachelor's degree in information systems, analytics or mathematics, or master's degree preferred.
• CPA, CIA, CFE, CISA, CISSP, chartered accountant or relevant certification preferred.
• Audit experience required.
• ERP business and system knowledge such as SAP and Workday.
• Programming experience in Python, Oracle PL/SQL or R.
• Proficiency in data visualization tools such as Tableau, Power BI or Crystal Reports.
• Proficiency with Microsoft SharePoint and GRC systems such as TeamMate or Archer.

As the Analytics Analyst, this role supports the design and development of analytics tools, dashboards, and data visualization solutions that make data-driven conversations accessible across business segments. The analytics and reporting team relies on this work to deliver interactive reports, integrated datasets, and performance insights that meet both ad hoc and recurring stakeholder needs.

Job Functions

• Support project plans around reporting and analytics tools, information dashboards, data visualizations, data modelling and end-user information portals.
• Generate ad hoc reports and regular datasets using system tools and database or data warehouse queries.
• Integrate data from multiple sources to produce requested data elements.
• Program and maintain report forms, dashboards, datasets and other end-user information portals.
• Plan, design and execute performance tests and gather business and functional specifications from client stakeholders.
• Interpret results using techniques ranging from exploratory data analysis to statistical modelling.

Background and Experience

• Bachelor's degree in computer science, business, information technology or a relevant field, or equivalent experience.
• Demonstrable professional experience with data mining, analysis and modelling of large-scale, complex data sets.
• Proficiency in SQL for generation and extraction of data for analytics and reporting.
• Proficiency in visual data tools such as Power BI, Qlik or Tableau.
• Strong written and verbal communication and presentation skills.
• Client consulting and project-leadership experience preferred.

Analytics Analyst delivers consolidated, client-ready reports drawn from multiple databases, serving as the primary quality assurance owner for all analytics outputs across global mobility operations. The work directly supports business standards and process efficiency by managing a pipeline of complex, customized reports and developing new reporting tools in response to both client requests and internal needs.

What You'll Do

• Run reports from multiple databases and consolidate data as needed for client presentations.
• Manage multiple requests and meet established deadlines while completing complex and customized client reports efficiently.
• Analyze high-level data trends and highlight those trends within reports.
• Collaborate with all areas of the business to maintain standards and efficient processes.
• Update analytics documentation to ensure accuracy and work on ad hoc reports for client and internal reporting needs.
• Act as the point of quality assurance and control for all analytics outputs.
• Work independently to manage the pipeline of reports due for delivery and help develop new reporting tools.

Professional Experience

• Bachelor's degree in a business discipline preferred, high school diploma required.
• 1 to 3 years of data analysis experience preferred.
• 1 to 3 years of global mobility experience preferred.
• 2 or more years of experience in Business Objects or a comparable BI platform, SQL query analyzer or MS Access.
• Experience working with multiple databases and large quantities of data.
• Advanced proficiency in MS Excel, PowerPoint and other database applications.
• Excellent interpersonal, verbal, written communication and organizational skills.

The Analytics Analyst owns the collection and analysis of Voice of Employee sentiment data across all stages of the employee lifecycle, translating insights into people-centric programs that strengthen the Employee Value Proposition. Working closely with the People Insights team, Talent Acquisition partners, and senior leaders, the analyst shapes acquisition and retention strategies by mapping employee personas, measuring engagement, and identifying opportunities to improve the end-to-end employee journey.

Day-to-Day Responsibilities

• Collect and analyze sentiment data for all programs and initiatives that impact employee engagement across all stages of the employee lifecycle.
• Provide employee experience sentiment data and business analysis to help business partners solve problems, tell the employee story and align strategy.
• Make recommendations for evolving workforce trends such as hybrid workforce experiences that enhance culture and create connection between employees.
• Work closely with the People Insights team to provide visibility into employee behaviour and its impact on acquisition and retention rates.
• Build trusted relationships with senior leaders and coach partners on how to understand and use feedback.
• Identify priorities and support design of people-centric programs aligned to the Employee Experience Roadmap and Employee Value Proposition.
• Stay current with marketplace trends and innovations within and across industries.

Knowledge Skills and Abilities

• Degree in market research or customer insights preferred.
• Experience in statistics, survey design and organizational psychology or people theories.
• Experience in employee journey mapping, lean sigma or agile project management and planning and analytics solutions.
• Proficiency in Excel with the ability to manipulate and analyze high-volume, high-dimensionality data.
• Ability to communicate complex issues to stakeholders in concise and simple language.
• Strong cross-functional relationship-building and collaborative skills.
• Strategic thinker with the ability to see the big picture and tell the employee story with visuals and data.

Reporting to senior research and analytics leadership, the Analytics Analyst produces high-quality, actionable market research content using machine learning frameworks and predictive modelling to help data scientists and business analysts answer key questions and advance competitive positioning. Partnering with country business analysts, sales teams, and junior analysts across a multicultural global team, the analyst combines external and internal data to generate insights that shape strategic decisions and grow client outcomes.

Strategic Responsibilities

• Discover deeper insights, make predictions and generate recommendations for a data-driven company.
• Create high-quality, clear and actionable research content based on market research best practices and methodologies.
• Develop new research and ideas through thought leadership and offer compelling, actionable approaches to business stakeholder needs.
• Identify the root cause of stakeholder barriers and reframe thinking to drive strategy forward.
• Provide internal business stakeholders with actionable insights aligned to their designated area.
• Combine external and internal data to answer key business questions and create next best action for customers.
• Predict how specific markets and service offerings are developing and assist with overall competitive positioning.
• Support and mentor junior team members while actively participating in innovation and research discussions.

Qualifications and Experience

• Bachelor's degree or equivalent experience, graduate degree preferred.
• 6 or more years of relevant field or industry experience.
• Experience in machine learning frameworks such as PyTorch, TensorFlow, MXNet and Caffe.
• Proficiency in Python and libraries such as NumPy, OpenCV, Scikit and Pandas.
• Strong knowledge of data modelling, software architecture, algorithms, statistics, supervised learning, recommendation systems and deep learning.
• Experience building, deploying and maintaining high-performing, scalable real-time machine learning systems and cloud computing services.
• Strong written and verbal communication, analytical and presentation skills with the ability to engage clients and executives effectively.
• Strong organizational skills with the ability to work independently and collaboratively in a multicultural global team.

The Merchandising Analytics Analyst is responsible for using analytical tools to develop, model, and disseminate actionable analytic solutions to complex business problems across the Merchandising function. The Analytics Analyst develops predictive models and space optimization frameworks, drawing on SQL, Power BI, and Alteryx to improve product placement, maximize margins, and uncover solutions hidden in merchandising data. Working cross-functionally with senior merchandising leadership, vendor funding teams, and finance partners, the analyst delivers insights that directly influence retail space performance and customer shopping experience.

Scope of Work

• Become a functional expert in merchandising business data including defining data elements, creating and maintaining business reporting and aiding in training documentation.
• Develop department-wide reporting analysis and identify merchandising trends and selling patterns including category analysis, promotional activity and private brand performance.
• Analyze and determine the impact to margin of promotional activity, current tariffs, duties, fees and vendor support offsets.
• Work cross-functionally with stakeholders to identify data needs and provide insights, analytics, dashboarding and reporting support.
• Generate predictive models using data mining, segmentation and statistical analyses to optimize retail space performance and customer experience.
• Uncover solutions hidden in data to improve space productivity, determine ideal product placement and develop new merchandising layout models.
• Manage vendor funding budget and maintain communication with vendor funding and finance teams to ensure buyer plans are achieved.

Minimum Qualifications

• Bachelor's degree in business, statistics, finance or equivalent, MBA or advanced degree in mathematics, statistics, operations research or economics strongly preferred.
• 3 to 4 years of experience in retail analytics or a related business.
• Expert-level SQL skills and expertise in other programming languages preferred.
• Expertise with visualization tools such as Power BI or Tableau and experience with Alteryx a plus.
• Expertise with large data sets, relational databases and data engineering preferred.
• Proficiency in MS Office Suite.
• Strong problem-solving, communication, organization and multi-tasking skills with presentation and cross-functional interaction experience.

The Lead HR Analytics Analyst is a strategic priority for HR and is seen as a key enabler for the function. The Analytics Analyst produces regular HR dashboards, annual reports, and bespoke analyses that measure the impact of people programs and inform workforce planning across a global organization. Collaborating with global HR centers of excellence and in-market HR teams, the analyst identifies opportunities to standardize and automate data management while building analytics capability and driving adoption of Power BI solutions across the function.

Leadership Responsibilities

• Deliver regular HR dashboards including data collection, cleansing, interpretation and presentation.
• Manage all external reporting requirements including annual reports, external industry indices and regulatory requirements.
• Deliver bespoke, customized reports and analyses in response to ad hoc people-related queries.
• Drive and support HR analytics projects as well as other strategic programs.
• Work with global HR centers of excellence to develop tailored reporting and analytics and transform their ability to measure and evaluate impact.
• Identify and propose opportunities to further standardize, automate and improve data management, reporting and systems.
• Support the development of analytics capability across the function and drive utilization of Power BI solutions.
• Undertake specific HR analytics projects from hypothesis formation through data collection, mining, analysis, insight generation and communication.

Required Qualifications

• 8 or more years of experience in gathering, tracking, manipulating and analyzing data.
• Experience in Workday or any HR-related platform required, with knowledge of OrgVue, Anaplan, SQL Server, R, Python, SAS or SPSS beneficial.
• Outstanding skills in Power BI at developer level and advanced Excel proficiency.
• Strong experience in data transformations and use of Alteryx or equivalent data visualization tools.
• Strong analytical skills including trend identification and demonstrable curiosity and thought leadership.

Sitting at the intersection of financial services and data strategy, the Analytics Analyst refines credit and fraud strategies by translating complex business and partner needs into best-in-class reporting solutions and actionable analytical insights. Operating across product, engineering, finance, and operations teams, the analyst applies SQL expertise and business intelligence tools to improve data governance, drive reporting automation, and support informed decision making in a high-velocity environment.

Operational Focus

• Leverage advanced data analytics to derive insights and optimize credit and fraud strategies.
• Identify and drive opportunities to improve reporting solutions, processes and product through data analytics.
• Translate business and key partner needs into useful analytical insights to support informed business decisions.
• Create best-in-class reporting solutions and analytics through collaboration, leadership and a customer-focused approach.
• Collaborate cross-functionally with product, engineering, finance and operations teams to improve data governance and actionability.
• Keep abreast of industry news and trends while managing multiple priorities in a fast-paced environment.

Experience and Qualifications

• Bachelor's degree in economics, statistics, mathematics, MIS or equivalent, master's degree preferred.
• 2 to 5 years of professional experience with 2 years in an analytical or strategic role such as fraud strategy, credit policy or business analytics, with financial services experience preferred.
• Experience creating credit and fraud strategies.
• Fluency in SQL with the ability to pull, manipulate and create solutions independently.
• Working knowledge of business intelligence tools such as Looker or Tableau.
• Strong quantitative, critical thinking and analytic skills with attention to detail and problem-solving aptitude.
• Ability to communicate findings and recommendations clearly to both technical and non-technical audiences across different teams.

The Analytics Analyst will support Enterprise Technology by developing and delivering analytics and solutions that expose 'actionable insights', modernize the way we consume data, and make data driven conversations the norm. The Analytics Analyst builds and publishes interactive dashboards and operational metrics reporting across hosting and platform services, supporting the establishment of a Data Analytics Center of Excellence within Enterprise Technology. Working with staff members, business sponsors, and technology leaders, the analyst gathers requirements, defines process improvement opportunities, and mines data sources using Tableau, ServiceNow, and Business Objects to deliver maximum organizational value.

Key Deliverables

• Develop and deliver operational metrics and reporting solutions across a wide spectrum of hosting and platform services.
• Gather and assess consumer requirements for best-fit solutions and understand key business drivers using data from multiple sources.
• Recognize opportunities to explain product outcomes to provide the greatest value to the sponsor and organization.
• Define and document relevant process improvement opportunities.
• Build and publish interactive reports and custom dashboards using tools such as SSRS, Tableau, ServiceNow and Performance Analytics.
• Create calculated metrics within dashboards and workbooks and use tools to mine data sources.

Technical Qualifications

• Bachelor's degree in computer science or a related field, or associate's degree with equivalent work experience.
• 3 to 5 years of experience working within information technology.
• Experience writing complex scripts using SQL or Python required.
• Experience with business intelligence techniques and tools including Tableau Server, ServiceNow and Business Objects required.
• Familiarity with automation technologies and service management domains and processes.
• Technical experience with data modelling a plus.

The Analytics Analyst II is responsible for supporting the Workers Compensation organization by providing and evaluating data to identify opportunities to improve efficiency and effectiveness in our medical management programs. The Analytics Analyst designs Power BI dashboards, establishes monthly claims operational reporting packages, and synthesizes insights from large medical billing and claims datasets to support leadership decision making. Collaborating with department heads, IT resources, and cross-functional teams, the analyst drives reporting automation, validates ETL processes, and builds executive-level presentations with actionable recommendations.

Areas of Ownership

• Collaborate with department heads to blend data from multiple sources for unified reporting and identify cross-functional opportunities to simplify or improve current processes.
• Evaluate and pivot very large data sets to spot trends and present business insights to senior leaders and cross-functional teams.
• Work with IT resources to test and validate ETL processes, report building, process automation and dashboard development.
• Design and build reporting, dashboarding and report automation solutions using Power BI, MS Excel and SQL.
• Establish a monthly claims operational reporting package including dashboards, scorecards and reports.
• Identify, synthesize and recommend actionable analytical insights to drive improvement within the claims organization.
• Support the build-out of executive-level presentations with actionable insights and recommendations.

Position Requirements

• Bachelor's degree or equivalent experience.
• 3 or more years of financial or operational analytical experience.
• Property casualty insurance industry experience preferred.
• Experience with dashboard building and management using Power BI and SQL with BI software suites.
• Proficiency in Excel and SharePoint.
• Prior experience in reporting, data visualization, consulting or business analysis.

As the Analytics Analyst, this role owns data and Google Analytics for a client environment, advising development teams on tagging best practices and producing data-based narratives that communicate customer journey insights to audiences ranging from engineers to executives. The client services team relies on this work to build dashboards, conduct exploratory data analysis, and deliver reporting that supports acquisition and conversion-led web platform strategy.

Role Responsibilities

• Own data and Google Analytics and advise the development team on best practices for tagging and tracking.
• Make recommendations on best reporting practices and work with the UX, CX and strategy team to understand customer needs and journeys.
• Produce reporting for the client, conduct exploratory data analysis and create data-based narratives to present results.
• Capture and explore complex structured and unstructured datasets and communicate findings through dashboards.
• Communicate results effectively to audiences ranging from engineers to executives.

Skills and Qualifications

• Advanced proficiency in English required.
• Experience of working on an acquisition or conversion-led web platform with client-facing and advisory experience at large companies.
• Advanced working knowledge of Google Analytics and marketing automation tools such as Salesforce Pardot, Marketing Cloud, ContentSquare and Qualtrics.
• Experience with Power BI, Tableau or other reporting tools and knowledge of alternative tracking and conversion platforms.
• Analytical ability to extract insights from different data sources using tools such as R or Python.

The Digital Analytics and Enablement team is group of highly motivated professionals that manage all parts of the digital analytics value chain, from behavioral data collection to influencing business outcomes through recommendations and insight generation. The Analytics Analyst creates and maintains marketing and analytics solutions within a Tealium iQ tag management ecosystem, leveraging JavaScript expertise to develop, debug, and validate implementations that support behavioral data collection across client digital properties. Collaborating with business teams, engineering, and cross-functional stakeholders, the analyst fosters innovative thinking and promotes a results-driven culture across the digital analytics value chain.

Core Responsibilities

• Implement marketing and analytics solutions within the client's Tealium iQ tag management system ecosystem.
• Develop and debug Tealium iQ-integrated solutions leveraging JavaScript expertise and test and validate implementations and enhancements.
• Assist in the evolution and management of solution design reference documentation.
• Collaborate with business teams to understand and document needs and requirements.
• Foster curiosity, creativity and innovative thinking among team members and promote excellence in a results-driven culture.
• Balance multiple projects and manage change with integrity and a spirit of collaboration.

Education and Experience

• Bachelor's degree in computer science, engineering, information systems or a related field.
• 3 or more years of progressive experience in digital marketing and analytics, web development or a related role.
• 3 or more years of experience working with tag management tools, Tealium iQ preferred.
• Proficiency in JavaScript as it relates to digital analytics implementation.
• Familiarity with jQuery, Angular, React, TypeScript, HTML and CSS.

The Digital Analytics Analyst requires a critical approach to analyzing and reporting data for A+E Networks' portfolio of Digital products, including websites, mobile apps and connected device apps across A&E, HISTORY, LIFETIME, FYI, and BIOGRAPHY. The Analytics Analyst executes recurring Adobe Analytics reports and dashboard development for A+E Networks' full digital portfolio, synthesizing large datasets into content, product, and distribution strategy recommendations. Collaborating with stakeholders across the organization, the analyst evangelizes data-driven decision making and analyzes consumer journeys and new product features to optimize viewership and platform expansion.

Work Activities

• Use Adobe Analytics to create and maintain recurring reports and dashboards for all stakeholders.
• Field ad hoc requests, present findings and proactively deliver recommendations that inform strategy.
• Synthesize large data sets into digestible takeaways that drive action.
• Analyze new product features, consumer behaviours and customer journey to inform UI enhancements, content strategy, platform expansion and viewership optimization.
• Evangelize the benefits of data-driven decision-making and educate key stakeholders on trends in digital analytics.

Background and Experience

• Bachelor's degree in mathematics, business, economics or statistics preferred.
• 2 or more years of digital media experience, preferably with a digital analytics vendor or publisher.
• Experience with Adobe Analytics preferred and understanding of how analytics tracking works on websites and apps across all platforms.
• General knowledge of the digital media landscape including vMVPDs, AVOD and SVOD.
• Proficiency in Microsoft Office especially PowerPoint and Excel.

The GPO Analytics Analyst mainly supports Complete Purchasing Services (CPS) in sales performance reports, month-end close reports and reconciliations, business analytics, and monthly reports. The Analytics Analyst manages client incentive accrual models and prepares quarterly and monthly sales performance reporting for Complete Purchasing Services, working closely with regional Vice Presidents of Operations, finance teams, and key account managers to present data-driven conclusions to senior management. The role directly supports the Global Procurement Organization by organizing, interpreting, and delivering data from multiple sources that informs business decisions and tracks realized sales performance.

Performance Expectations

• Manage client incentive accrual models including actual payments, projections, rates, spend and groupings by assembling and organizing data from multiple sources.
• Prepare quarterly sales realization reports comparing annualized sales estimates to realized performance.
• Perform monthly spend analytics, draw meaningful conclusions and present to senior management.
• Prepare monthly performance reporting and dashboard reports and support monthly GPO calls with data organization and trend analysis.
• Support ad hoc financial and performance reporting requests for the CPS management team, finance team and key account managers.

Qualifications and Experience

• Bachelor's degree in finance, accounting, data analytics or engineering.
• 3 to 5 years of data analytics experience drawing insights and developing action plans from data.
• Accounting designation is an asset.
• Advanced Excel skills with the ability to develop reports as requested.
• French proficiency in reading and writing would be an asset.
• Strong communication skills and ability to simplify complex information.
• Ability to take initiative to deliver results and resolve issues independently.

Analytics Analyst guides customer marketing planning and financial estimation by producing web analytics deliverables, cross-channel performance reporting, and margin rate optimization analysis for a retail business environment. Success in the position means applying statistical methods such as regression and significance testing to identify incremental improvements, defending analytical decisions to stakeholders, and creating new processes that add measurable value to marketing and retail operations.

Key Responsibilities

• Support customer marketing planning and hindsight activities on digital marketing, offers, email and business tests.
• Produce easy-to-understand, error-free and timely deliverables with a focus on web analytics, marketing performance, cross-channel behaviour and margin rate optimization.
• Perform financial planning and results estimation using analysis to inform the future impact of promotional activity and customer behaviour.
• Make hard decisions by comparing courses of action, identifying pros and cons and building stakeholder support for the recommended approach.
• Identify statistical methods that would incrementally improve results and analysis.
• Create new processes applicable to current deliverables to add value to the business.

Required Qualifications

• Bachelor's degree in an analytical or related field, advanced degree preferred.
• 2 or more years of high-level programming experience in SQL or SAS.
• 3 or more years of marketing and retail business experience preferred.
• Knowledge of statistical concepts such as regression and significance testing.
• Tableau or other visualization tool experience a plus.