ANALYTICS MANAGER JOB DESCRIPTION

Numbers without context make bad decisions. When an Analytics Manager is absent or underperforming, business leaders substitute instinct for evidence — and the dashboards and BI roadmaps that should anchor quarterly planning go dark. This role owns the full analytical product portfolio for an enterprise, from data standards and governance frameworks through to self-service reporting that non-technical stakeholders can use independently. Sitting within the Data and Analytics function and accountable to a Head of Data or Chief Analytics Officer, the Analytics Manager translates raw organizational data into structured insight that shapes resource allocation, process improvement, and commercial strategy.

As the Analytics Manager, you lead a team of analysts and own the BI roadmap that converts enterprise data into decisions, ensuring that dashboards, statistical models, and performance reports are accurate, timely, and actionable for senior leadership. The team operates within a central Data and Analytics function, serving cross-functional stakeholders that typically include Finance, Operations, Marketing, and Product, while the manager holds primary accountability for data quality standards and analytical methodology.

Career Impact: Building and delivering a BI roadmap at the manager level positions you as a recognized authority on enterprise data governance and multi-dimensional modelling within your sector.

Business Impact: The reporting infrastructure and predictive models this role owns directly determine whether senior leaders have reliable data when setting operational targets and allocating budgets each quarter.

Growth Opportunity: Depth in stakeholder-facing analytics leadership, combined with exposure to ETL architecture and advanced statistical methods, opens a recognized path toward Director of Analytics or Head of Data roles.

• Lead a team of data analysts, setting priorities, managing workloads, and providing coaching to raise analytical output quality across the function.
• Define and maintain the BI roadmap, aligning analytical products and services to evolving business unit requirements and organizational strategy.
• Design and deliver reporting dashboards and performance metrics that give senior leadership a consistent, auditable view of operational health.
• Establish data quality standards, governance frameworks, and validation processes that ensure stakeholders can trust the data they act on.
• Partner with Data Engineering to define data structures, resolve pipeline issues, and expand the datasets available for analytical use.
• Drive hypothesis-driven analysis using statistical methods including regression, segmentation, and predictive modelling to answer specific business questions.
• Collaborate with Finance, Operations, and Product stakeholders to gather requirements and translate them into structured analytical deliverables.
• Mentor junior analysts in data manipulation, visualization best practices, and the communication of findings to non-technical audiences.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Business, or a related quantitative field, or equivalent work experience.
• 5 or more years of analytics or business intelligence experience, with at least 2 years directly managing a team of analysts.
• Demonstrated ability to design, implement, and iterate on a BI roadmap across multiple business units or stakeholder groups.
• Proficiency in SQL for querying and transforming large, complex datasets, including multi-table joins and performance optimization.
• Experience applying statistical techniques including regression analysis, cohort analysis, time series forecasting, and A/B testing to business problems.
• Working knowledge of data architecture concepts including data warehousing, ETL processes, dimensional modelling, and data governance principles.
• Proven ability to translate ambiguous business questions into structured analytical frameworks and communicate findings clearly to senior leadership.
• Strong project management skills, with a track record of delivering analytical projects on time across competing stakeholder priorities.

• Experience with agile delivery frameworks and managing an analytics team backlog within a product-led or shared-services operating model.
• Background in a specific vertical such as retail, telecoms, financial services, or digital platforms, bringing domain-specific KPI knowledge to the role.
• Familiarity with machine learning concepts and predictive modelling approaches that can be operationalized within existing BI infrastructure.
• Postgraduate qualification in a quantitative discipline, or professional certification in data management or business intelligence methodology.

• Dashboard adoption rate among non-technical stakeholders, indicating how well self-service reporting is designed and maintained.
• Data quality error rate across managed datasets, measuring the robustness of governance and validation processes owned by this role.
• Analyst team delivery rate against quarterly roadmap commitments, reflecting planning accuracy and workload management.
• Time from business question submission to insight delivery, measuring responsiveness to ad hoc and structured analytical requests.
• Stakeholder NPS score for the analytics function, capturing whether business units find the team's output useful and actionable.
• Typical tools: BI and Visualization platforms (commonly Tableau or Power BI); query and warehousing environments (commonly SQL, BigQuery, or Redshift)

• Base Salary Range: $110,000 to $155,000 annually, depending on experience and location.
• Bonus: Annual performance bonus of 10 to 20 percent of base salary.
• Equity: RSUs or stock options common at mid-to-large technology and enterprise employers.
• Health Benefits: Medical, dental, and vision coverage for employee and dependents.
• PTO: 15 to 25 days annually, plus public holidays and sick leave.
• Common Perks: Learning and development budget, remote or hybrid schedule flexibility, and professional conference attendance.

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

Background checks, including verification of employment history and education, are a standard condition of employment for this position. All qualified applicants will receive equal consideration 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. Candidates requiring a reasonable accommodation to participate in the hiring process are encouraged to make that request at any time. Applicants must be authorized to work in the United States.

The Analytics Manager owns end-to-end business intelligence for Lifecycle Services, hiring and leading a global team of Business Analysts to deliver forecasting, prediction, and data visualization platforms that give business teams ad-hoc access to large datasets. Partnering with Data Engineering and worldwide stakeholders, this role shapes the BI roadmap and drives the data-driven decision-making culture that enables operational and quality improvements across the organization.

Key Responsibilities

• Hire, manage, coach, and lead a high-performing global team of Business Analysts.
• Engage with Lifecycle Services leadership and customer groups to understand needs and recommend business intelligence solutions.
• Design, implement, and support analytics solutions including forecasting and prediction to enable leadership to manage the business.
• Build reporting and technical data-driven solutions that support automation and streamlining of existing processes.
• Design, implement, and support platforms providing business teams ad-hoc access to large datasets via data visualization tools.
• Make recommendations for new metrics, techniques, and strategies to improve operational and quality metrics.
• Partner with the Data Engineering team to define data elements and data structures enabling analytical capabilities.
• Participate in strategic and tactical planning discussions and interface with business customers to gather requirements and deliver reporting solutions.
• Perform business analysis to identify problems and opportunities and recommend future state solutions.
• Perform data mining and analysis using PeopleSoft, MS Excel, and Amazon Redshift to identify trends and recommend improvements.

Required Qualifications

• Bachelor's degree in Business, Engineering, Mathematics, Statistics, or equivalent experience.
• Green Belt Certification preferred.
• 7+ years of experience in data engineering, business intelligence, or business analytics.
• 3+ years of experience managing a team of Business Analysts or Business Intelligence Specialists.
• Experience building and managing Business Intelligence solutions and defining and delivering a BI roadmap.
• Advanced working knowledge of SQL, ETL, and Excel, with expert-level proficiency in writing complex, optimized SQL queries across large datasets.
• Experience with visualization technologies such as Tableau or AWS QuickSight, and statistical packages including R and Python.
• Strong oral, written, and presentation skills with the ability to lead group discussions and explain complex solutions clearly.

Embedded within the Analytics and Optimisation department at Reprise, the Analytics Manager leads end-to-end delivery of dashboards, measurement plans, and data mining solutions that help clients understand how their performance marketing drives business results. Working closely with client and agency teams across Google Marketing Platform, Adobe Experience Cloud, and BigQuery, the role builds the analytical frameworks and thought leadership that improve data integrity and unlock revenue impact.

Core Functions

• Brainstorm and provide guidance to client and agency teams on the best approach to drive analytical objectives and develop concrete frameworks.
• Identify data needs, formulate data solutions, and manage analysis projects to achieve clients' business objectives.
• Develop analytics deliverables hands-on including dashboards, reports, and measurement plans.
• Consolidate and package insights, analytics outputs, and action items into consumable packages with actionable recommendations for marketers.
• Stay informed of advancements in industry trends and proactively identify opportunities to enhance Reprise analytical tools, data mining techniques, and processes.
• Demonstrate thought leadership by developing best practices, case studies, training materials, and presenting at internal and industry seminars.
• Build strong relationships with client and agency team members and combine statistical results with strategic thinking to create cohesive, actionable stories.

Qualifications and Experience

• Relevant data and analytics platform accreditations such as GAIQ.
• 3+ years of experience in analytics including auditing, implementations, tagging, tracking, insights, reporting, and delivering actionable recommendations.
• Experience in Ecommerce and Performance Marketing including SEO, Paid Search, and Paid Social preferred.
• Professional competency in JavaScript, HTML, CSS, and SQL, with proficiency in R and Python desirable.
• Experience across Google Marketing Platform and Adobe Experience Cloud or similar, with knowledge of Google Cloud Platform particularly BigQuery.
• Proficiency in configuring connectors and designing dashboards for data visualization, with experience in BI and digital analytics tools such as Tableau, Google Marketing Platform, and Adobe Analytics.
• Excellent written, verbal, and presentation skills with the ability to build strong client and agency relationships.

Reporting to Studios Data and Insights leadership, the Analytics Manager leads a team of analysts across multiple EA game titles, producing hypotheses, deep-dive analyses, and data-centric views of player behaviour that co-shape product roadmaps and business performance. Partnering with game design and research teams, this role grows analyst capabilities in SQL, Python, and data architecture while building a collaborative culture that translates complex datasets into actionable story-driven direction.

Primary Duties

• Produce hypotheses and guidance across many types of data to grow and improve games.
• Drive deep, impactful insights by working across data, game design, and research to deliver story-driven direction based in data.
• Lead a team of analysts on multiple products to create applicable insights and co-develop product roadmaps with development teams.
• Craft a data-centric view of player behaviour to diagnose drivers for business performance.
• Conduct analytic deep dives of essential business issues and translate analyses into actionable recommendations.
• Monitor performance to identify risks, new opportunities, and industry trends.
• Grow the team in technical, interpersonal, and career skillsets and build a culture of collaboration that challenges convention.
• Plan, prioritise, and communicate the team's direction and deliverables.

Skills and Qualifications

• Experience in Shooter, RPG, RTS, and Racing game genres with a passion for growing people in technical and soft skills.
• Working knowledge of SQL, Python, R, data modelling, research methodology, and data exploration methods, with ML modelling skills a plus.
• Experience with data modelling, design, and architecture principles including star schema data warehouses, data lakes, and columnar stores.
• Superior facilitation skills with the ability to structure concise presentations from large complex datasets for any level of the organisation.
• Ability to build functional and effective dashboards and communicate findings through data storytelling and appropriate visualisations.

Sitting at the intersection of Human Resources and advanced data science, the Analytics Manager applies predictive modeling, machine learning, and statistical techniques including regressions, t-tests, and ANOVAs to forecast attrition, high performance, and recruiting demand. Operating across enterprise-wide people data and cross-functional systems, this role communicates findings to senior leadership and partners with IT to build the infrastructure that turns HR data into actionable organizational insights.

Duties

• Develop and analyze surveys and metrics to support Human Resources functions.
• Conduct data analyses including regressions, factor analyses, t-tests, and ANOVAs.
• Communicate findings and recommendations on critical initiatives and influence leaders to take action.
• Provide management support in the areas of people metrics, reporting, and advanced and predictive analytics.
• Support the leadership team in identifying business challenges and use data analysis to influence changes to operations, processes, or programs.
• Utilize technology and analytical tools to develop and analyze enterprise-wide people data and cross-functional data as needed.
• Partner with IT to build system functionality to collect, analyze, and present data, and develop predictive models for attrition, high performance, and recruiting demand.

Education and Experience

• Master's degree in Business, Computer Science, Statistics, or related discipline
• 3+ years of applicable analysis and reporting experience, or Bachelor's degree with 5+ years of experience.
• Proficiency in analytics tools including Tableau, R, and Python.
• Excellent problem-solving capabilities and superior analytical skills with deep interest in data, metrics, analysis, and trends.
• Excellent communication skills with the ability to present findings to senior management.

A key member of a start-up analytics function, the Analytics Manager builds and maintains the full reporting infrastructure, owns the A/B testing funnel, and leads data and tracking instrumentation projects in cooperation with the engineering team to create transparency in the consumer car-shopping experience. Collaborating across business teams and Senior Leadership, this role drives data-informed strategies for growth and scales an analyst team to deliver quality analytics projects on time.

Key Deliverables

• Design, build, and maintain all reports for monitoring and communicating business results across the organization.
• Alert the business when unforeseen shifts in performance occur and identify operational risks across business units.
• Own the A/B testing funnel by prioritizing and designing experiments and communicating results back to the team.
• Conduct ad-hoc analysis in support of different teams by extracting actionable insights and clearly communicating findings and recommendations.
• Lead data and tracking instrumentation projects in cooperation with the engineering team.
• Partner with various business teams to evaluate and determine optimal strategies for business growth.
• Partner with Senior Leadership to drive decision making at an upper level and hire, train, and lead a team of analysts as the business scales.

Requirements

• Degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain.
• 5+ years of experience in data analytics, consulting, or a related quantitative role.
• Experience with product and funnel optimization, user segmentation, cohort analyses, time series analyses, and regression models.
• Expertise in SQL, ETL, and statistical analysis including hypothesis testing and experimentation using packages such as Matlab, R, SAS, or Python.
• Proficiency in one or more analytics and visualization tools such as Mode, Looker, or Tableau.
• Ability to define a business problem, collate required information, analyze results, and synthesize a compelling argument.

Data governance, compliance, and business performance improvement depend on the Data Analytics Manager, who guides stakeholders on report design and interpretation, drives continual improvement across data sourcing, transformation, and aggregation, and serves as Subject Matter Expert for all data-related matters including privacy and data ethics. Based within the data and analytics function and reporting to the Head of Data and Analytics, this role manages a team of analysts and applies multi-dimensional statistical techniques to translate complex findings into strategic business insights in both English and Vietnamese.

Areas of Ownership

• Guide stakeholders on how to best use data to drive their business effectively and provide detailed interpretation of reports to support business decision-making.
• Provide support and training to key stakeholders on how to design and interpret reports and extract meaningful insights through data visualization.
• Drive continual improvement in reporting including source, transformation, QC, and aggregation of data captured, bought, or exchanged.
• Serve as the key point of contact for providing business insights through data and as Subject Matter Expert for all data-related matters including compliance, privacy, and data ethics.
• Bring a disciplined approach to the creation of data standards and processes supporting the validation and verification of information.
• Support the Head of Data and Analytics in providing the business with excellence in data and analytics support.

Experience and Qualifications

• Formal qualification in Statistics, Decision Science, Mathematics, or Engineering.
• At least 5 years of direct management of data analysts, data scientists, data engineers, or similar roles.
• Proven practical experience in improving business performance through appropriate use and interpretation of data.
• Proven experience in the design and ongoing controls supporting different data architectures including the ability to sort, merge, and deduplicate datasets and identify data anomalies and biases.
• Detailed understanding of multi-dimensional statistical analysis techniques including profiling, decision trees, cluster analysis, logistic and linear regression, and AI algorithms.
• Experience in working with Business Intelligence tools such as Tableau, Power BI, or Data Studio.
• Strong communication skills in English and Vietnamese with the ability to translate statistical findings into meaningful business insights and manage stakeholders across different levels and cultures.

As the Analytics Manager at GoHealth, this role responds to live business needs by leading a team of analysts who execute projects for key stakeholders, delivering descriptive and diagnostic insights and testing hypotheses using statistically significant methods. The GoHealth analytics function relies on this work to align metrics, support strategic decision-making, and track project performance across a rapidly changing operational environment.

Role Responsibilities

• Understand GoHealth's business processes and the role each business unit plays in supporting the company's ultimate objectives.
• Collaborate with leaders to understand key value drivers and challenges and determine metrics and insights that can help improve performance.
• Manage a team of analysts who execute on projects for key stakeholders in a fast-paced and ever-changing environment.
• Provide new and creative insights to business leaders through descriptive and diagnostic analytics.
• Test hypotheses across functions using measurable, statistically significant methods to evaluate best-performing strategies.
• Collect, analyze, and evaluate data to track project performance and important developments.

Background and Experience

• Bachelor's or Associate's degree in Business, Economics, Finance, Accounting, Marketing Analytics, MIS, Computer Science, Engineering, or equivalent work experience.
• 5+ years of related experience in an analytical role guiding strategic decision-making using data and analytics.
• 1+ years of experience managing a team and projects.
• SQL, Python, and Tableau skills preferred, with proficiency in Microsoft Excel.
• Ability to take insights and turn them into actionable steps that drive business value and communicate complex concepts effectively to colleagues with varying analytical backgrounds.

Analytics Manager delivers a pipeline of analytical products and services across Vodafone's Local Markets and Group, building and maintaining datasets from disparate systems, embedding analytics into dashboards and applications, and owning the full specification and delivery lifecycle for descriptive, predictive, and prescriptive solutions. Partnering with Product Manager and delivery teams within Shared Services, as well as Group and OpCo stakeholders, this role drives digital transformation and revenue and cost improvements through continuous innovation in analytical techniques and cloud-based tooling.

Strategic Responsibilities

• Identify opportunities to improve business outcomes through analytical techniques and work with Local Markets and Group to understand requirements.
• Build and deliver analytical models that drive value through revenue upturn, cost decrease, and customer and employee engagement improvements.
• Create and maintain analytics datasets sourced from different systems and serve as the primary accountable party for data integrity and quality.
• Partner with Product Manager and delivery teams within Shared Services to deliver analytics solutions and insight.
• Create a pipeline of analytical products and services deployable across Vodafone and drive innovation by employing new analytical techniques.
• Collaborate with Product Design Leads to embed Analytics into dashboards and applications and manage stakeholder engagement from Group and OpCos.
• Own specification, delivery, and continuous improvement of analytical products and services based on stakeholder needs.

Professional Experience

• Proven data analytics experience across data science, data analysis, and data management.
• Experience in agile ways of working and across business and IT teams, ideally both onshore and offshore.
• Hands-on experience with analytics tools such as R, Python, and Alteryx, visualization tools such as Qlik, Tableau, and Power BI, cloud platforms such as GCP, AWS, and Azure.
• Knowledge of database and SQL tools such as Oracle.
• Strong communication skills with the ability to influence senior stakeholders and tell stories with data.

The Analytics Manager produces data models, visualisations, and commercial insights that answer complex business questions and track the value of strategic initiatives, working alongside commercial functional heads and business performance review teams. Working closely with data and finance stakeholders, the Analytics Manager drives a proactive approach to improving working processes and ensures that analytical opportunities are communicated in ways that business audiences can understand and act upon.

Key Responsibilities

• Collaborate with commercial functional heads to devise answers to bespoke commercial questions tailored to defined business objectives and linked to the business plan.
• Track the value of commercial projects and strategic initiatives to ensure the team's value is clearly quantifiable.
• Translate business requirements into powerful visualisations through data modelling and optimisation.
• Create models that answer complex business questions and improve the quality of business decisions.
• Communicate data and analytics opportunities and bring them to life in ways that business stakeholders can understand and engage with.
• Actively participate in business performance reviews and use understanding of data to influence and guide conversations.
• Drive a proactive and inquisitive approach to identifying opportunities to improve working processes and systems.

Qualifications and Experience

• Previous experience as an Analytics Manager is advantageous with strong experience managing a team in a reporting, data, or finance environment.
• Experience with Analytics and Insights, building data and analytical models, and working with large amounts of data.
• Strong Microsoft Excel skills and strong experience with data visualisation tools such as Tableau and Power BI.
• Excellent organisational, problem-solving, and project management skills with proven ability to prioritise deadlines and work at a fast pace.
• Articulate, precise, detail-oriented, and highly responsive with rigorous attention to detail and the ability to work under own initiative with minimal supervision.

Embedded within Fluence's Data and Analytics organization, the Analytics Manager develops and manages BI solutions end to end, administering the Power BI tenant, designing data models, establishing KPIs, and creating dashboards and documentation for internal teams, leadership, and external parties. Working closely with business units across the organization, this role ensures data accuracy, streamlines operations, and equips stakeholders with the reporting tools needed to make effective decisions in a rapidly changing environment.

Core Functions

• Develop and manage business intelligence solutions and collaborate with business units to collect data and execute the company's mission.
• Administer the Power BI tenant and design data models to convert raw data into meaningful insights with defined timelines.
• Use graphs, infographics, and other methods to visualize data and create reports and dashboards for internal teams, leadership, and external parties.
• Establish KPIs to measure the effectiveness of business decisions and identify development needs to streamline and improve operations.
• Create presentations and reports based on recommendations and findings.
• Create and maintain documentation including design, requirements, and user manuals for the organization.

Technical Qualifications

• Bachelor's or Master's degree in Computer Science or Information Systems with related work experience.
• Minimum 5 years of experience working with BI tools or data-specific roles with sound knowledge of database management, data modelling, business intelligence, SQL, data warehousing, and OLAP.
• Skills in BI tools such as Power BI, SAP, and Tableau including Row-level Security, DAX expressions, and custom BI product development using R and Python.
• Excellent attention to detail and the ability to learn quickly and respond to a rapidly changing business environment.
• Excellent interpersonal, communication, listening, and presentation skills with the ability to work both independently and as part of a team.

Reporting to cross-functional leadership at Zoopla, the Data Analytics Manager leads a team of 5 data analysts, setting strategy and priorities for the Consumer vertical, and owns the roadmap for analytics products that enhance consumer experience across a B2C online platform. Partnering with product, engineering, design, and UX leads, this role promotes self-service analytics, coordinates hypothesis-driven product development, and communicates data findings to C-Level management to unlock the strategic potential of Zoopla's data.

Primary Duties

• Lead, develop, and set the focus, strategy, and priorities of a team of 5 data analysts to maximise influence and impact across the organisation.
• Join a cross-functional leadership team spanning product, engineering, design, and UX to deliver data products that enhance consumer experience.
• Communicate findings to business audiences, senior stakeholders, and C-Level management and provide mentorship sharing best practice and areas for development.
• Educate business stakeholders and promote self-service analytics across the organisation.
• Coordinate and leverage hypothesis-driven product development and own the strategy, roadmap, and setup for analytics products in the Consumer vertical.

Skills and Qualifications

• Previous experience managing, hiring, and retaining talented analysts with experience leading analytics projects and delivering impactful insights.
• Experience generating insights for a digital app or platform including A/B tests and iterative data-informed product design in a fast-paced B2B or B2C online environment.
• Broad technical skill set including SQL, R, or Python and experience with tools such as Looker, Power BI, dbt, and Tableau.
• Deep understanding of data and strong business sense with the ability to inform strategic decisions and collaborate across cross-functional leadership teams.
• Excellent communication skills with a consumer-centric mindset and a view that data and analytics are a game changer for company success.

The Data Analytics Manager develops and oversees dashboards, reports, and quality controls that multiply the impact of analytics across PropertyGuru's business and product functions, applying analysis techniques and business acumen to guide decision-making and uncover optimization opportunities. Working closely with cross-functional departments of varying technical levels, this role manages and grows a team of analysts, maintains data model integrity, and serves as gatekeeper for all product events entering the data pipeline.

Accountabilities

• Multiply the impact of data analytics across business and product by applying analysis techniques and business acumen to guide decision making and uncover optimization opportunities.
• Oversee the design and delivery of dashboards, reports, and insights to help stakeholders analyze business performance and identify areas of improvement.
• Manage, coach, and grow a team of data analysts to consistently and proactively produce insights and solve problems.
• Develop and implement quality controls and standards
• Ensure trust in the data and oversee data models and events taxonomy as gatekeeper for all product events in the data pipeline.

Position Requirements

• Bachelor's degree in IT or a relevant field, or strong experience in data analysis as an alternative.
• 7+ years of experience with 3+ years in people management.
• Experience working with digital products with strong business mindset and good project management and stakeholder management skills.
• Strong SQL skills and advanced visualization skills with experience in Tableau, Looker, or Data Studio, and knowledge of Python, R, or other languages as a plus.
• Clear and effective communication with cross-functional business partners of varying technical levels.

The Analytics Manager refines end-to-end marketing analytics support for multiple clients, implementing and testing tracking infrastructure, aggregating data from site analytics, ad servers, CRM, and social listening platforms into integrated dashboards, and drawing actionable insights from campaign data. Serving as a key partner to measurement vendors and internal teams, this role ensures data quality throughout campaign lifecycles and delivers improvement recommendations to clients in a timely and organized manner.

Day-to-Day Responsibilities

• Provide end-to-end marketing analytics support for multiple clients and identify appropriate KPIs based on business objectives.
• Author measurement and test plans and evaluate and recommend specific measurement partners and tools.
• Implement and test tracking infrastructure prior to campaign launch including tracking tag generation from website analytics and ad serving systems.
• Aggregate data from various sources into integrated report templates or dashboards and provide quality assurance of data throughput throughout campaign lifecycles.
• Draw insights from campaign data and make actionable recommendations for improvement, presenting findings to internal teams and clients.
• Develop and maintain relationships with key partners in the data, measurement, and analytics space and provide accurate and timely review of junior staff work products.

Minimum Qualifications

• 4+ years of experience as a hands-on marketing analyst.
• Intermediate proficiency in website analytics packages such as Google Analytics and Adobe Analytics, and online ad serving systems such as DCM and The Tradedesk.
• Intermediate proficiency in Microsoft Excel and pivot tables.
• Strong qualitative and quantitative skills with the ability to manage timelines and multitask across a variety of projects.
• Strong written and verbal communication skills with the ability to work independently and as part of a team.

The Analytics Manager oversees consumer insight delivery for Vodafone UK's PAYG and VOXI segments, taking business questions through full analytical cycles and feeding back actionable recommendations to inform strategy for Chapter Lead and Senior Analytics Managers. Based within the consumer insight chapter and collaborating with market research and Enterprise colleagues, this role ensures data quality, best practice SQL coding, and alignment of insight across the Vodafone UK business.

Job Functions

• Deliver best-in-class insight within allocated squad by taking a business question, analysing data, and feeding back answers and actionable recommendations to inform business strategy.
• Support Chapter Lead and Senior Analytics Managers with driving insight across consumer business including PAYG and VOXI.
• Support Chapter Lead and Senior Analytics with data quality and best practice coding and analysis.
• Work closely with other insight areas such as market research to produce a holistic consumer view.
• Collaborate with Enterprise colleagues to ensure alignment across Vodafone UK in terms of best-in-class insight and analysis practice.

Knowledge Skills and Abilities

• Degree educated or equivalent.
• Track record of delivering customer insight from data
• Good knowledge of SQL and familiarity with Python, SAS, or R.
• Good knowledge of data visualisation tools such as Power BI and Tableau.
• Ability to find strategic insights from data and present clearly and simply to senior management.

The Analytics Manager advances data-driven culture within the Global Savings Group's Business Intelligence team by shaping how the organisation looks at data, prioritizing data requests, and creating a leading Data Program aligned to the company's global vision. Working closely with the central data team and key account leads across the London office, this role drives strategic opportunities that have a direct impact on revenue streams through impactful Tableau dashboards and web analytics expertise.

Operational Focus

• Shape the way the business looks at data and drive insights across key accounts and revenue streams.
• Create efficient processes to prioritize data requests and maximize the output of the team.
• Proactively identify strategic opportunities for key accounts and have a direct impact on revenue streams.
• Collaborate with the central data team to improve data infrastructure and processes.
• Help create a leading Data Program to support Global Savings Group vision and advocate a data-driven culture.

Required Qualifications

• 4+ years of experience leveraging data to drive business and technical decisions, with 1+ year mentoring junior team members.
• Good working knowledge of SQL, with Python as a plus, and solid understanding of statistics and statistical methods.
• Experience delivering impactful dashboards with solid experience in Tableau preferred.
• Experience navigating web analytics including metrics such as click-through rate and conversion rate, with knowledge of online marketing as a nice-to-have.
• Excellent English communication skills with any additional language as a plus, and an entrepreneurial, data-driven mindset with sound business judgment.

The WPB Assistant Analytics Manager oversees end-to-end technical development of data engineering initiatives, deploying new data sources to Google Cloud through ETL and regression testing, and manages the Communication Messaging platform from campaign elaboration through tracking and regulatory reporting. Working closely with business stakeholders in the Banking sector, this role leverages SAS, SQL, BigQuery, and Qlik Sense to deliver self-service BI dashboards and complex automated reporting that support data-driven decision-making.

Work Activities

• Identify, analyse, and interpret trends and patterns in complex data to provide answers to business questions and recommendations for action.
• Support end-to-end technical development of data engineering initiatives including ETL, regression testing, and deployment of new data sources to Google Cloud.
• Deploy new or update existing business intelligence dashboards in Google Looker and Qlik Sense to support data-driven decision-making.
• Manage the Communication Messaging platform end to end, from campaign elaboration through implementation and tracking.
• Execute and manage sales performance management, data quality, and regulatory reporting.
• Perform ad hoc analysis and data extracts using SAS, SQL, and Google BigQuery.

Technical Qualifications

• Proficiency in SAS is mandatory, with knowledge in Qlik, SQL, BigQuery, and Python advantageous.
• Experience solving business problems end to end from conceptualisation to final insight delivery and benefit quantification.
• Experience delivering ad hoc data extracts, self-service visualisation, and complex automated reporting for business stakeholders.
• Ability to develop and effectively communicate complex concepts.
• Experience in Banking sector data as a strong advantage.

The CRM Analytics Manager creates and delivers accurate customer selections, bespoke campaign analyses, and loyalty insight that support strategic planning and optimisation of omni-channel marketing campaigns. Working as part of a cross-functional team alongside the marketing function and loyalty communications leads, this role uses SQL and large-scale datasets to evaluate campaigns, shape future plans, and influence strategic decisions through data-driven recommendations.

Key Responsibilities

• Support the marketing function with strategic planning and development of the marketing plan and CRM strategy using knowledge of the customer database.
• Produce analysis and deliver insight to evaluate campaigns and use findings to shape future campaign plans.
• Design, develop, and deliver accurate and relevant customer selections and bespoke analysis to improve and optimise customer and marketing campaigns.
• Manage and execute deeper-dive analytical work to solve business questions.
• Be part of the cross-functional team to plan and execute all loyalty communications and campaigns.

Qualifications and Experience

• Experience working in CRM Analytics or a data-driven CRM delivery role
• Background in loyalty and digital analytics.
• Fluent in loyalty and personalised, omni-channel campaign metrics across channels such as email, app, app push, and POS.
• Proficient in SQL with experience manipulating and analysing large and complex datasets and delivering actionable insights.
• Strong communicator with proven track record of managing multiple stakeholders, presenting insight, and driving through winning recommendations.

Reporting to the Analytics Organization leadership, the Analytics Manager coordinates the reporting and analytical talent pipeline, manages work portfolios across specific PHS business units, and aligns team efforts with the greater vision of Hub and Spoke core teams to improve health-related decision-making and operational efficiency. Partnering with Program Management, IM governance, EDW, and cross-functional departments, this role defines data processes, mentors analytical staff, and develops a year-end value story that demonstrates the team's contribution to organizational goals.

Leadership Responsibilities

• Align reporting and analytics efforts of individual teams with the greater vision and goals of specific Hub and Spoke core teams.
• Support Program Management in the definition and implementation of roadmaps, dependencies, and execution plans across analytical units.
• Manage and execute work portfolios in specific business units including tools, solutions, and reporting and analytics.
• Coordinate with other departments across the AO including IM governance and EDW to develop reporting and analytical methodologies and tools.
• Define and improve processes for gathering, storing, reporting, and sharing data across the organization.
• Coordinate and prioritize work assignments, manage team performance, and oversee hiring, mentoring, training, and performance appraisals.
• Support presentations, thought leadership, and the development of a year-end value story to demonstrate team contribution to AO and PHS goals.

Education and Experience

• Bachelor's degree in a business, healthcare, or quantitative field, with Master's degree highly preferred.
• 8+ years of related business intelligence, analytics, and reporting experience, with 3+ years of management experience leading cross-functional teams.
• Deep healthcare data and statistical analysis experience with knowledge of program evaluation, predictive modeling, and data mining.
• Proficiency in BI tools such as Business Objects, data visualization tools such as Tableau, and statistical software such as SAS.
• Strong written and verbal communication skills with the ability to present to various audiences and pull detailed reports from systems.

The Analytics Manager guides data analysis and reporting for Global Atlantic's Operations, Legal, and Compliance functions, leading development of SLA dashboards, call center analytics platforms, and monthly operations reporting that monitors licensing, new business, and complaints. Working closely with business stakeholders and IT to migrate data to the enterprise data hub and develop robust collection and analytics strategies, this role manages deliverables across multiple projects and applies statistical techniques to provide ongoing metrics in a deadline-driven environment.

Strategic Initiatives

• Lead development of reporting universes and analytics for regular operational performance and build SLA reporting dashboards by analyzing and visualizing datasets from multiple sources.
• Lead development of a call center analytics platform to measure performance and enhance customer experience.
• Build monthly operations dashboards to monitor licensing and contracting, new business, and complaints.
• Work closely with business stakeholders and IT to resolve problems, identify process improvements, and help migrate data to the enterprise data hub ecosystem.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports and metrics in a timely and professional manner.
• Develop and implement databases, data collection systems, and analytics strategies that provide efficient data and reporting solutions.
• Manage deliverables across multiple projects in a deadline-driven environment and assist with ad hoc requests and special projects as needed.

Experience and Qualifications

• PhD or Master's degree in Computer Science, Mathematics, or Statistics, or Bachelor's degree with 5+ years of experience in a related field.
• Minimum 3 years of experience in financial services, with experience in insurance, annuity, or investment banking preferred.
• Foundational knowledge of machine learning algorithms and statistics, with proficiency in Python, SAS, or R and SQL and relational databases.
• High proficiency in Microsoft Office including Word, Excel, and Visio.
• Excellent communication, teamwork, and consulting skills with strong analytical and problem-solving ability and the ability to work independently in a fast-paced environment.

The Analytics Manager executes and elevates an online experimentation program for call center and chat services, consulting and advising business teams on A/B and multivariate test design, conducting statistical analysis of experiment results, and building self-service dashboards that make findings accessible across the organization. Collaborating with data engineering and marketing and product teams, this role advocates for a culture of experimentation and serves as the subject matter expert on testing methodology, statistical foundations, and best practices.

Scope of Work

• Consult and advise business teams on A/B and multivariate test opportunities, experiment design, and best practices as a subject matter expert and trustworthy partner.
• Conduct statistical data analysis of experiments including primary and secondary metrics and segmentation.
• Present and communicate test results and provide recommendations on next steps.
• Build self-service tools for the business including the development and enhancement of test results dashboards.
• Collaborate with data engineering to enhance the data environment and facilitate improved analytics and automated reporting.
• Advocate for a culture of experimentation and educate on best practices across the organization.

Requirements

• Degree in Statistics, Data Science, Mathematics, Economics, Psychology, or a related discipline, with a Master's degree as a plus.
• 5 years of experience in data analytics including 2 to 3 years emphasising experimentation, and 3 to 4 years leading relationships with marketing or product teams.
• 1 year of call center analytics experience preferred.
• Strong skills in SQL, Hive, R, and Tableau for data manipulation, statistical analysis, and data visualization.
• Deep knowledge of A/B and multivariate testing methodology, statistical foundations, and best practices, with experience in experimentation tools such as Optimizely and Adobe Target and web analytics tools such as Google Analytics.
• Strong ability to communicate analysis and translate findings into meaningful business recommendations.

The Analytics Manager coordinates global analytics and reporting solutions that help scale operations across multiple countries, establishing team goals, providing career development to direct reports, and leveraging deep product and industry knowledge as a cross-functional leader. Collaborating with diverse teams and organizations across a complex operational environment, this role uses quantitative approaches and tools including SQL, Tableau, and Python to deliver business insights and drive measurable change in quality and performance.

Ownership Areas

• Manage a team that builds analytics and reporting solutions to help scale operations across multiple countries.
• Provide mentorship, guidance, and career development to team members and enable deeper and more scalable solutions.
• Establish team goals and work with direct reports on strategies for executing, measuring progress, and sharing results.
• Utilize deep product and industry knowledge while serving as a strong cross-functional leader.
• Leverage areas of expertise to improve the effectiveness and quality of products.

Background and Experience

• MA or MSc degree or higher in a technical field, or equivalent experience in programming and statistical analysis.
• 8+ years of experience in a complex, fast-paced environment preferably in Operations, with 2+ years of people management experience.
• Experience using quantitative approaches to deliver business insights and drive change, with a background in operational analytics and quality measurement and improvement.
• Experience with SQL, data analysis, visualization tools such as Tableau, and programming languages such as Python.
• Demonstrated success presenting complex data insights clearly and compellingly, with the ability to collaborate effectively with diverse individuals and organizations in a dynamic environment.

The Analytics Manager guides a team of research analysts at Chime in completing data-driven research that explains performance changes and informs strategic planning, building understanding of user behaviours and identifying business opportunities across a B2C FinTech product. Working cross-functionally with all levels including executives, this role uses SQL, window functions, and data science modeling skills to tell data-driven stories and foster a culture of analytical decision-making.

Executive Functions

• Lead a team of research analysts and drive the team's pipeline of work including coaching and mentoring.
• Partner cross-functionally with all levels including executives to dive into data and understand the drivers of performance changes.
• Leverage data to understand what decisions Chime needs to make to properly plan for its future.
• Build a deeper understanding of user behaviours and identify corresponding business opportunities.
• Foster a data-driven culture with a passion for telling stories with data.

Professional Experience

• Quantitative degree in Statistics, Economics, or Mathematics, with advanced degrees preferred.
• 7+ years in analytics with B2C product analytics and FinTech experience preferred
• 2+ years leading an analytics team.
• Strong SQL skills including familiarity with window functions, and data science and modelling skills to optimize features and drive model performance.
• Excellent communication skills with a record of working cross-functionally and an investigative mindset for telling data-driven stories.

The Analytics Manager creates a centralized KPI reporting platform for Activision, managing and growing a team of data analysts who partner with Marketing, Finance, Game Business, and Commercial Leadership to communicate cross-franchise performance metrics to senior finance and platform leaders. Collaborating with engineers and regional analytics partners, this role applies SQL, BigQuery, Tableau, and Airflow to address high-level and detailed strategic questions and foster an inclusive, collaborative team culture built on trust.

Strategic Responsibilities

• Manage, lead, and grow a team of data analysts and empower, coach, and mentor them in building a centralized portfolio reporting platform.
• Partner with analysts and engineers to clearly report business-facing KPIs that measure the health and success of Activision games.
• Address high-level and detailed strategic questions by clarifying business requirements, developing hypotheses, and building analytical structures.
• Apply diverse metrics and methods to build tangible KPIs and communicate project updates, setbacks, and successes.
• Leverage tools such as Tableau, BigQuery, Airflow, and Git to deliver insights and provide access to key metrics across the business.
• Collaborate with Marketing, Finance, Game Business, Commercial Leadership, and Product teams to deliver business impact and communicate findings to both technical and non-technical audiences.

Education and Experience

• Bachelor's degree in Computer Science, Math, Statistics, Economics, or other quantitative field.
• 2+ years of experience managing teams in Gaming, Data Analytics, Product Analytics, Data Science, Business Intelligence, or Product Management.
• High proficiency in SQL and experience with cloud computing platforms and big data tools such as Google Cloud Platform, BigQuery, Hadoop, Teradata, and Azure.
• Experience with data modelling, data visualization, and statistics, with proficiency in Tableau and familiarity with R or Python as a plus.
• Familiarity with agile project management tools such as Jira and the ability to communicate and advocate analytical insights to executive-level audiences.
• Strong problem-solving skills with the ability to structure concise, clear presentations from large complex datasets for any level of the organization.

The Analytics Manager strengthens the analytics practice by developing and coordinating data analyst recruitment, onboarding, mentoring programs, and leveling processes that ensure analysts are effective and their work is impactful across the company. Working with teams across the organization and co-responsible for data literacy programs and skills needs assessments, this role consults stakeholders on the best use of analyst time and builds awareness of the data analyst role among leadership.

Ownership Areas

• Develop and coordinate data analyst recruitment and onboarding processes to hire the best candidates and onboard them effectively.
• Support data analysts in career progression by providing and developing mentoring programs, educational tools, and guidance in the leveling process.
• Consult and support stakeholders of data analysts' work to ensure skills and time are used in the most effective way.
• Collaborate with data analysts to develop and implement analytical work frameworks and processes and identify issues and opportunities.
• Work with teams across the company to identify opportunities for Data and Analytics initiatives and co-develop data literacy programs.
• Be co-responsible for data analytics skills needs assessment and hiring needs forecasts, assessments, and logistics for data analysts.

Knowledge Skills and Abilities

• 6+ years of experience in an analytics area with at least 3 years in a management role leading a team of Data Analysts.
• Experience in mentoring, personal development support, hiring, recruiting, and onboarding data analysts with previous accountability for analytical processes and frameworks.
• Understanding of digital data collection tools such as Google Analytics, Mixpanel, and Amplitude, and knowledge of AB testing methodology and product analytics.
• Working experience with SQL, Tableau, Google Analytics, and AWS, along with understanding of data visualization, statistics, and descriptive, predictive, and prescriptive analytics.
• Excellent interpersonal and communication skills in English with the ability to educate, influence, manage multiple stakeholders, and work in an Agile framework.

The Analytics Manager crafts consumer insight and loyalty analytics from large, multi-source datasets for a global digital and loyalty team, designing and producing timely insight on consumer behaviour including promotional uptake, segment performance, and targeting opportunities to support internal business teams across international markets. Working closely with data and reporting colleagues and senior stakeholders, this role identifies new data-driven opportunities, drives team members to thrive, and shares learning to build best practice across the organisation.

Key Responsibilities

• Design, produce, and deliver a range of timely insight and help with key data requests on consumer behaviour across loyalty and digital analytics.
• Support a range of internal business teams with consumer insights including promotional uptake, segment performance, and opportunities to target consumers.
• Work closely with data and reporting team members to ensure outputs and metrics are consistent and aligned.
• Identify new opportunities to drive value from data and support data growth in international markets.
• Drive team members to thrive and push products forward, communicate progress to senior stakeholders, and share learning to drive best practice.

Qualifications and Experience

• Strong experience with SQL for developing consumer insights from data, with advanced MS Excel skills and VBA experience as an advantage.
• Experience working with large amounts of data from multiple sources to create insight, ideally in retail or FMCG sectors.
• Sound experience delivering meaningful customer insight to support strategic business decisions, with strong knowledge of customer metrics and loyalty drivers such as segmentation and RFV.
• Experience using Power BI to deliver reporting and analysis as an advantage.
• Strong stakeholder management, storytelling, communication, and presentation skills with the ability to adapt findings for the relevant audience.

The Analytics Manager manages national data infrastructure and analytics capacity for a civic organization, administering VAN and EveryAction platforms, creating performance dashboards, training staff of varying backgrounds, and implementing data standards to support voter contact, digital advocacy, and organizational decision-making. Working with national and state staff across a network committed to racial, gender, and economic justice, this role uses SQL, cloud-based data warehouses, and reporting tools to grow the data capacity of the organization.

Core Responsibilities

• Provide programs with analysis, information, and universe creation and targeting necessary to make informed data-driven decisions.
• Evaluate and report on the success of direct voter contact, email, social media, website, online ad content, digital advocacy programs, and other external data.
• Create dashboards and reports measuring indicators of performance across the organization.
• Serve as national VAN and EveryAction administrator and provide frontline support to national and state staff.
• Train national and state staff of varying backgrounds on data management and analysis and implement strong data standards, manage data syncs, maintain list hygiene, and perform data enhancements.
• Standardize and document code, workflows, and processes.

Skills and Qualifications

• 3+ years of experience working in community, labor, or electoral organizations in a data or technology-related role.
• Strong knowledge of SQL and statistical methods, voter file data, and common voter contact and digital advocacy tools.
• Experience administering and supporting a national VAN instance and working with cloud-based data warehouses such as Google BigQuery or Amazon Redshift.
• Experience with reporting tools such as Metabase, Sisense, or Tableau, and knowledge of JavaScript, Python, or R as a plus.
• Strong commitment to racial, gender, and economic justice, with excellent strategic thinking and communication.
• Ability to work with diverse people and organizations across multiple stakeholders and objectives.

The Analytics Manager runs the development of robust forecasting and media performance models, applying time series analysis, statistical correlations, and variance mapping to guide major advertiser investments in budget setting, revenue forecasting, A/B testing, scenario planning, and media optimization. Working with analytics directors, planning, activation, and client services colleagues across the agency, this role generates senior-client-ready insights and brings new analytical techniques to the team to strengthen the agency's market-leading analytics offering.

Core Functions

• Lead the development of robust forecasting models using knowledge of statistics and drive delivery of findings to clients and leadership.
• Collaborate with the analytics practice and wider agency
• Develop new tools and solutions supporting budget setting, revenue forecasting, A/B testing, scenario planning, and media optimization.
• Generate genuine insights that resonate with senior clients and bring new analytical techniques to the team while educating others in their practical use.
• Define execution plans and drive delivery of projects and initiatives with guidance from directors.

Requirements

• 3 to 5 years of experience in a data and insight role with practical knowledge of building analytical models including time series, statistical correlations, and variance mapping and predicting.
• Previous agency or consultancy background is desirable, with prior research or statistics experience and knowledge of the advertising and communications landscape.
• Technical experience in SQL as mandatory, with additional programming languages such as Python or R valued.
• Strong analytical skills with the ability to identify business questions, analyse data, draw conclusions, and develop actionable recommendations, and present complex data in clear and simple formats.
• Natural collaborator with enthusiasm for building relationships across agency disciplines and the talent to become an influential member of a fast-growing analytics-led agency.

The Analytics Manager designs an analytics roadmap and strategy for external client-facing insurance and wellbeing analytics, developing and presenting utilisation and financial reports that show healthcare spend trends to high-profile clients and supporting new business pitches and renewals. Working with marketing, account managers, and cross-functional counterparts, this role represents the business externally with clients and intermediaries and improves reporting capability so that all clients receive the latest trends on the key factors impacting their schemes.

Key Deliverables

• Effectively represent the business externally with clients, intermediaries, and other stakeholders.
• Own and develop an analytics roadmap and strategy and develop, analyse, and present utilisation and financial reports to high-profile clients on healthcare spend trends.
• Collaborate with marketing and other cross-functional counterparts to deliver tangible recommendations to clients.
• Improve reporting capability so that all clients receive the latest trends on the key factors impacting their schemes.
• Support and participate in new business pitches and renewals, promoting analytics and reporting as part of the proposition.

Experience and Qualifications

• Bachelor's or Master's degree in Computer Science, Maths, Physics, Engineering, or a related quantitative field.
• 3+ years of experience managing team members with a proven track record of driving insightful findings from data, preferably in a healthcare setting.
• Experience working with large datasets from various systems and a strong interest in healthcare and the complexity of the system.
• Experience with Power BI and proficiency in R, Python, and SAS.
• Ability to develop contextually rich and visually compelling presentations.
• Strong skills in evaluation methods and models with excellent internal and external relationship management.

The Analytics Manager translates business questions into data analytics requirements for digital product teams, ensuring correct tracking is in place during app development and defining the need for strategic dashboards while facilitating standard reports, training, and support at tactical and operational levels. Working with product teams and the broader data analytics network, this role carries out ad hoc analyses, turns raw data into meaningful product insights, and builds ways of working and best practices across technical and non-technical colleagues.

Day-to-Day Responsibilities

• Translate business questions into requirements for data analytics.
• Ensure correct tracking is in place during app development for relevant data capture.
• Define the need for dashboards at strategic level and create and facilitate the use of standard reports with training and support at tactical and operational levels.
• Carry out ad hoc analyses on specific topics both in agreement with product teams and on own initiative.
• Turn raw data into meaningful product insights and take part in data analytics network collaboration to build ways of working and share best practices.

Requirements

• Minimum 3 years of experience with business insights in a marketing and product development context including app analytics with Adobe Analytics.
• Minimum 3 years of experience in games or other digital products, with experience working with raw data in Microsoft Power BI or similar tools.
• Fluency in SQL including Hive and Impala or similar experience analysing large structured and unstructured datasets.
• Eperience with data visualization tools such as Tableau and Power BI, with a structured and analytical approach to tasks.
• Ability to balance multiple projects, build strong working relationships with technical and non-technical colleagues, and learn quickly with a determination to deliver results.

The Analytics Manager designs core metrics and growth dashboards for a crypto and FinTech platform, performing deep-dive analysis of staking, lending, stable coin minting, and liquid asset trends, modeling customer lifetime value across segments, and working with product managers and engineers to design data products and debug A/B experiments. Interacting with BI tools including Metabase, Amplitude, and AppsFlyer and working closely with the development team to resolve on-chain data format challenges, this role applies statistical and scientific methods to optimize growth ecosystems and lead initiatives across multiple product areas.

Key Responsibilities

• Perform deep-dive analysis to understand and optimize key levers of growth ecosystems and analyze return on investment of promotions.
• Model customer lifetime value for different customer segments and design core metrics for team efforts.
• Apply statistics and modelling to improve the efficiency of systems across Growth Initiative.
• Work with product managers and engineers to design data products and debug A/B experiments.
• Create growth dashboards to enable faster reaction time on course corrections and interact with BI tools including Metabase, Google Analytics, Amplitude, and AppsFlyer.

Required Qualifications

• Bachelor's degree or higher in Computer Science, Mathematics, or Statistics.
• Minimum 5 years of experience in Data Analytics, preferably in FinTech, with direct experience in crypto markets and ideally coming from an NFT Marketplace or e-commerce business.
• Experience with different data analysis types including Quality, Exploratory, and Predictive, and blockchain trends analysis experience.
• Coding or scripting skills for data process automation using Python, R, or Typescript, with proficiency in SQL and Hive.
• Ability to work with Segment or Tableau as a bonus, with proven ability to apply scientific methods to real-world problems and lead initiatives across multiple product areas.

The Analytics Manager designs, supports, and delivers analytics solutions by running analysis techniques on market research survey data and external sources including client CRM and unstructured data, running analysis efficiently to an agreed statement of work and delivering high-quality projects with client impact. Working with the wider Analytics team and contributing to proposals and pitches led by Analytics Consulting Directors, this role also nurtures talent and uses packages including SPSS, R, SAS, Python, and Sawtooth to build strong interpersonal relationships and inspire confidence in stakeholders.

Activities

• Design, support, and deliver analytics solutions by running analysis techniques on market research survey data and other external sources including client CRM and unstructured data.
• Run analysis smoothly and efficiently to an agreed statement of work and deliver high-quality projects with client impact.
• Work with the wider Analytics team on the development of the Analytics offer.
• contribute to proposals and pitches led by Analytics Consulting Directors.
• Nurture talent and get the best out of people.

Knowledge Skills and Abilities

• Solid numeracy and statistical analysis understanding.
• experience in conjoint or trade-off analysis and use of Sawtooth.
• Experience using software packages such as SPSS, R, Excel, SAS, Python, SQL, and VBA for Excel
• Familiarity with dynamic linear modelling and Power BI.
• Strong interpersonal skills with the ability to make a personal impact that inspires confidence and commitment from others.