Top Senior Analytics Jobs

Leads a team of data scientists and BI engineers responsible for demand forecasting, customer routing analytics, budgeting projections, and core business KPIs. Designs scalable Snowflake datasets, metric definitions, and Tableau self-service analytics; partners with Product, Engineering, and Finance; establishes analytical strategy and roadmaps; applies statistical and causal reasoning; and guides responsible AI-assisted analytics practices.

Supports Customer Analytics initiatives by identifying opportunities for data, automation, and AI solutions; translating business needs into requirements; developing and testing prototypes; coordinating implementation; measuring impact; and improving scalable self-service capabilities. Partners with business, analytics, data, and technology teams while managing stakeholders, data integrity, security, controls, and regulatory requirements.

Leads paid media analytics initiatives, including media mix modeling, experimentation, attribution, forecasting, and scenario planning. Owns data workflows using SQL, Python, and Databricks; translates findings into recommendations for marketing and senior leaders. Partners cross-functionally to define metrics, communicate analytical insights, automate reporting with AI and GenAI, and optimize media investments against business outcomes.

Leads pricing and analytics strategy, prioritizes analytical requests, translates ambiguous business questions into recommendations, and delivers executive insights. Owns business strategy, product and pricing analytics, credit risk modeling, marketing insights, and cross-functional execution. May manage analysts, oversee projects, develop business requirements, and partner with Sales, Finance, IT, Operations, and other teams to improve profitability and performance.

Leads a team of 7–8 analytics professionals supporting user growth, activation, engagement, retention, conversion, and rentals analytics. Owns experimentation strategy, A/B and multivariate testing, KPI frameworks, funnel diagnostics, dashboards, Snowflake data models, and Tableau self-service analytics. Partners with Product, Engineering, Design, and Finance to guide growth investments and senior-level decisions. The role also requires hiring, coaching, AI-enabled analytics workflows, and strong statistical and causal reasoning.

Leads fraud strategy and advanced analytics across credit card, lending, and retail portfolios. Develops, tests, implements, and monitors fraud decision strategies, controls, models, and risk scores; analyzes emerging threats and fraud events; evaluates portfolio and customer outcomes; oversees vendor capabilities; supports technology initiatives and product launches; produces dashboards and executive recommendations; and advises business partners on risk mitigation, compliance, and growth.

Leads fraud strategy and analytics across lending and card portfolios. Develops, tests, and optimizes fraud detection rules, controls, models, and risk scores; analyzes emerging threats and fraud performance; oversees vendors and technology initiatives; supports product launches; investigates major fraud events; creates dashboards and executive recommendations; and advises business partners on risk, compliance, and portfolio performance.

Leads fraud strategy and advanced analytics across credit card, lending, and retail services portfolios. Develops, tests, implements, and monitors fraud rules, controls, models, and risk scores; analyzes attack patterns and emerging threats; oversees vendors; supports product launches and technology initiatives; investigates fraud events; and provides dashboards, reporting, and executive recommendations. Partners across risk, operations, technology, product, and data teams while ensuring compliance and mentoring staff.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, experimentation, campaign reporting, retention analysis, churn modeling, segmentation, and LTV analysis. Partners with Marketing and Finance to connect performance metrics to business goals, automate reporting, and deliver actionable recommendations. Requires strong SQL and Python skills, causal measurement expertise, marketing platform experience, and the ability to communicate insights to senior stakeholders.

Leads a centralized contact center analytics function, managing analysts, prioritizing analytical requests, and setting operating standards. Performs complex analyses and executive insight reporting while building repeatable frameworks, automation, and responsible AI-assisted workflows. Partners with reporting and technology teams on data access and tools including MicroStrategy, Genesys, CallMiner, and Snowflake. Ensures analyses account for TCPA, FCRA, and FDCPA requirements while supporting strategic initiatives across customer service, lending, collections, complaints, workforce management, and related operations.

Leads enterprise internal fraud analytics, monitoring, and response initiatives. Uses SAS and SQL to analyze complex data, develop fraud rules, identify anomalous activity, and design proactive monitoring solutions. Partners with executives, risk teams, audit, and control functions to deliver defensible, well-governed analytics that reduce fraud risk and withstand regulatory scrutiny. Provides subject matter expertise, consultative guidance, and executive-level communication in an ambiguous, high-scrutiny environment.

Leads enterprise internal fraud analytics and monitoring initiatives using SAS and SQL. Analyzes complex data, develops fraud rules and detection strategies, advises senior stakeholders, and delivers defensible solutions meeting executive, regulatory, audit, and risk governance standards. Partners across risk, control, audit, and business teams to identify emerging patterns and reduce fraud risk.

Leads enterprise internal fraud analytics and monitoring initiatives using SAS, SQL, and advanced analytical methods. Analyzes complex data, develops fraud rules and detection strategies, advises executives and risk stakeholders, and delivers defensible solutions meeting regulatory and audit standards. Partners across risk, control, audit, and business teams to reduce fraud exposure, govern monitoring approaches, and translate complex requirements into actionable analytical solutions.

Own the analytics lifecycle from complex raw data through executive-ready insights. Design experiments, analyze performance drivers, build scalable data pipelines and analytical frameworks, and communicate findings to marketing, product, and technology stakeholders. The role supports customer acquisition, owned media optimization, repeatable reporting, and roadmap decisions through secure, maintainable SQL and Python or R solutions.

Develop data models, analyses, dashboards, and automated reporting for a collectibles marketplace. Partner with engineering, product, and data platform teams to define business metrics, identify customer experience and growth opportunities, inform strategy, and lead initiatives that improve business performance.

Lead consumer lending analytics and strategy across credit card, HELOC, and Auto/RV products. Evaluate portfolio performance, member behavior, pricing, targeting, risk, profitability, and growth opportunities. Develop strategic recommendations, forecasts, business cases, and analytical frameworks using SQL and large datasets. Partner with finance, credit risk, marketing, operations, and technology leaders while managing, coaching, and developing an analytics team.

Lead data analytics strategy, mine and analyze large-scale datasets, build and validate models, improve reporting and operational processes, evaluate products and marketing initiatives, and consult on data systems. Manage and mentor junior analysts, collaborate across business units, oversee concurrent projects, and apply business intelligence tools to support customer experience and organizational decision-making.

Leads end-to-end people analytics projects, translating HR and business priorities into metrics, statistical analyses, visualizations, and executive recommendations. Partners with HR leaders, product teams, machine learning scientists, and data engineers to improve organizational insights, data quality, analytics products, and self-service capabilities. Designs employee listening programs, delivers data-literacy coaching, manages analytics intake, supports product development, and advances analytical practices across the People Analytics team.

Leads quantitative and qualitative Medicaid policy research from project scoping through dissemination. Oversees data acquisition and analysis, monitors state and federal policy changes, develops briefs and presentations, conducts stakeholder interviews, supervises research staff, manages external collaborators, and translates findings into actionable recommendations for policymakers, providers, advocates, and the public.

Develop global engagement strategies for Crunchyroll’s streaming platform using consumer behavior, audience segmentation, experimentation, and analytics. Analyze viewing journeys, engagement barriers, churn signals, and lifecycle interventions. Build measurement frameworks, define success metrics, evaluate A/B tests, and identify strategies that strengthen viewing habits and retention. Partner with Product, Data Science, Lifecycle, Curation, and Consumer Insights teams to translate complex behavioral data into executive-level recommendations and prioritized initiatives.

Leads Customer Success analytics strategy, executive business reviews, customer experience and voice-of-customer insights, enablement impact measurement, and data foundation development. Manages two analysts, partners with data engineering and data science, applies statistical and experimental methods, analyzes structured and unstructured customer data, and uses AI tooling to improve self-service and recurring analytics. Translates ambiguous business questions into actionable recommendations for senior leaders.

Own measurement strategy and instrumentation quality for web and mobile initiatives. Translate business goals into tagging specifications, KPIs, event schemas, and acceptance criteria; partner with marketing, product, engineering, and analytics teams; validate releases; troubleshoot tracking issues; govern data standards; and ensure behavioral data produces reliable, analytically accessible datasets and reporting.

Analyzes sourcing, merchandising, financial, and vendor data to support negotiations, reporting, strategic planning, and KPI optimization across Ahold Delhaize USA brands. Develops project plans, reporting tools, negotiation insights, and process improvements; partners cross-functionally with sourcing and category teams. Uses DSS, Power BI, Circana, and Microsoft Office to identify savings, growth, and scale opportunities. Also trains team members and supports long-range planning, facilitation, and change management.

Owns A-Brands sourcing analytics, financial insights, reporting, and negotiation support. Builds data tools and fact packs, identifies savings and growth opportunities, supports strategic planning and RFPs, manages project deliverables, and partners cross-functionally with sourcing and merchandising teams. Uses DSS, Power BI, Circana, and Microsoft Office to analyze KPIs, improve processes, and inform CPG negotiations. Also trains associates, shares best practices, and serves as a subject matter expert for Center Store categories and vendors.

Own end-to-end analytics for digital marketing campaigns, including customer behavior analysis, performance measurement, A/B and incrementality testing, profitability analysis, optimization, and budget allocation. Translate large datasets into executive-ready insights and recommendations through storytelling, presentations, and visualizations. Partner with marketing strategy leaders to improve campaigns, develop new approaches, and support customer acquisition and business outcomes.