Top Senior Analytics Jobs

Owns analytics for digital marketing campaigns, including performance measurement, customer behavior analysis, A/B and incrementality testing, profitability analysis, and optimization. Translates large datasets into actionable recommendations for marketing partners and senior leaders through storytelling, presentations, and visualizations. Supports data-driven budget allocation, targeting, customer acquisition, and campaign strategy across digital channels.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.

Own commercial analytics for direct-to-consumer and marketplace channels, analyzing pricing, promotions, conversion funnels, merchandising, product mix, customer behavior, and channel economics. Build scalable reporting tools, support forecasting and planning, and translate transactional and behavioral data into recommendations for digital commerce leadership. Partner with Marketing Analytics and Analytics Engineering to connect acquisition trends with commercial outcomes and ensure trusted data.

Conduct quantitative research and pricing analytics for credit card installment products. Apply statistical modeling, econometrics, hypothesis testing, causal inference, and experimentation to evaluate pricing strategies, customer behavior, profitability, and policy effectiveness. Build scalable analytics processes, communicate insights to senior stakeholders, and partner with Finance and Marketing. Lead and develop analytics talent while evaluating responsible applications of artificial intelligence and automation.

Lead digital marketing analytics strategy through quantitative research, experimentation, customer behavior analysis, and campaign measurement. Build and manage a high-performing analytics team, develop scalable processes, partner with Marketing, Finance, Product, and Technology, and translate complex findings into business actions. Apply statistical, causal, econometric, and experimental methods while evaluating responsible uses of AI and automation to improve marketing optimization and decision-making.

Lead end-to-end forecasting and offer analytics for the full credit card portfolio. Responsibilities include forecasting optimization, automation framework development, ad hoc analytics and reporting, generative AI applications, process improvement, controls management, compliance certifications, and senior leadership communication. The role partners closely with product, finance, risk, campaign management, marketing, and other cross-functional teams.

Designs and delivers data-driven audience, targeting, and measurement solutions for digital marketing campaigns. Translates business goals into technical requirements, improves data quality and reporting, standardizes audience documentation, and manages initiative execution, monitoring, issue triage, and alerts. Partners with Marketing, Product, and Technology on platform enhancements while identifying responsible artificial intelligence applications with human oversight, governance, explainability, and measurable outcomes.

Support digital product analytics for an application status platform by defining measurement strategies, KPIs, analytical frameworks, dashboards, governed datasets, and anomaly alerts. Analyze platform data, identify trends and performance issues, communicate recommendations to product and technology stakeholders, and collaborate on instrumentation and pipelines. Use AI-enabled tools to accelerate validated analysis while building reusable playbooks and scalable self-service reporting capabilities.

Leads credit card acquisition analytics for U.S. consumer and small business portfolios. Manages data scientists and analysts, develops predictive models, evaluates marketing campaigns, shapes offer and targeting strategies, and translates customer and channel insights into measurable business outcomes. Partners with product and marketing leaders, communicates findings to senior stakeholders, and promotes experimentation, model governance, scalable reporting, and continuous improvement.

Leads digital marketing analytics strategy through quantitative research, experimentation, causal measurement, and customer behavior analysis. Partners with Marketing, Finance, Product, and Technology to convert insights into business actions. Builds and manages a high-performing analytics team, establishes scalable processes, evaluates AI-enabled workflows, and optimizes marketing performance through statistical methods, A/B testing, multivariate experiments, and profit-and-loss analysis.

Lead product analytics for Enterprise Data products, validating analytical tools, assessing methodology risks, researching emerging practices, and translating complex data into actionable insights. Manage validation projects, communicate findings through reports and presentations, and coach junior staff. The role requires advanced data analysis, statistical or econometric modeling, predictive analytics, large-dataset analysis, data governance, and people leadership.

Analyze customer behavior across digital and phone journeys, develop experiments and OKRs, and translate data into actionable recommendations. Partner with product, technology, design, modeling, and analytics teams to improve customer experiences and operational efficiency. Present insights to senior stakeholders, support predictive analytics and machine learning initiatives, and maintain data governance through collaboration with data owners.

Leads people analytics initiatives that support talent strategy and workforce decisions. Responsibilities include developing analytics frameworks, managing data projects, building AI-powered data products and self-service tools, analyzing workforce data, prototyping automation solutions, and delivering insights to HR stakeholders and senior leaders. The role also involves data strategy, dashboard development, project execution, and potentially people management.

Leads enterprise analytical-tool validation, including framework refinement, project execution, methodology risk assessment, technical research, prototyping, and validation reporting. Partners with cross-functional leaders to influence business strategy, solves complex analytical problems, and coaches junior staff. Requires substantial data analytics, open-source technology, statistical modeling, and people-management experience.

Lead analytics for a corporate real estate portfolio, integrating financial, headcount, occupancy, and property data. Build scenario and financial models for capital allocation, expense planning, and portfolio strategy. Conduct ad hoc analyses, improve data workflows and data quality, and translate complex findings into concise executive presentations and strategic recommendations for senior leadership.

Leads commercial analytics across digital commerce, apparel and accessories, and wholesale. Manages analysts, owns bookings forecasting, develops customer and channel economics frameworks, and builds scenario-planning and measurement models. Partners with Finance and senior stakeholders to evaluate growth opportunities, diagnose performance, quantify tradeoffs, and guide investment decisions. Requires strong SQL, analytical modeling, people leadership, and cross-functional business judgment.

Leads enterprise data risk measurement and analytics by defining metrics, building dashboards and data products, monitoring trends, translating policies into actionable insights, and presenting recommendations to executives. Manages junior analysts, drives cross-functional initiatives, supports data governance, applies AI to automate metrics, and performs analysis across large databases to improve processes, reporting, and business outcomes.

Develops fraud rules, models, dashboards, and strategies to reduce fraud losses. Analyzes emerging fraud trends, monitors KPIs, conducts ad hoc analysis, supports production deployments, and communicates findings to technical and business stakeholders. The Thursday-through-Monday schedule requires weekend availability, with a hybrid arrangement based in Chicago.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Apply strategic analytics to workforce planning, design evaluation frameworks for HR programs, develop tools and automated insights to retain and develop talent, prototype AI-first data solutions, and analyze internal and external workforce data to inform executive HR decision-making.

Leads strategic and quantitative analysis for Commercial Risk Management, supporting credit risk model development, underwriting, loss forecasting, and performance improvements. Evaluates model prototypes using data visualization and storytelling, translates technical findings into business recommendations, tests hypotheses, develops monitoring plans, and partners with model developers, credit officers, underwriters, finance, and relationship managers to implement solutions.

Volunteer lead responsible for managing a team of volunteer data analysts, overseeing precinct-level voter file and turnout data cleaning and analysis, producing standardized precinct reports and strategic recommendations for PCOs, maintaining project tracking systems, and ensuring data security while supporting voter engagement and GOTV strategies.

Leads complex private banking data management and analytics initiatives, defining data strategies, quality standards, product attributes, and integrated client views. Partners with business, engineering, analytics, AI, and Wealth teams to translate needs into dashboards, KPIs, predictive models, personalized insights, and intelligent decision-making capabilities. Serves as a subject matter expert on private banking products while mentoring junior team members and enabling platform readiness.

Performs advanced product and business analytics for a consumer mobile app, including experimentation, statistical analysis, metric development, dashboards, and leadership-ready insights. Partners with Product, Engineering, Finance, Data Science, and Analytics teams to guide strategy and feature iteration. Works independently with large datasets, communicates tradeoffs clearly, and uses AI-assisted tools to improve analytical efficiency.