Top Senior Analytics Jobs

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Develops reporting, analytical tools, and data solutions that support strategic decisions, revenue growth, and operational efficiency. Partners with Customer, Marketing, and Digital teams to analyze customer behavior, identify trends, validate data, and translate complex findings into actionable recommendations for executives and business leaders. Leads cross-functional analytics initiatives, improves processes and methodologies, supports user adoption, and mentors junior analysts.

Lead quantitative research and analytics for political and commercial clients: design experiments and surveys, manage RCTs and statistical modeling, generate strategic insights, oversee a team of data scientists and analysts, and deliver client-facing recommendations.

The Fraud Analytics SME analyzes fraud detection patterns, guides teams in detecting fraud schemes, validates analytical outputs, and supports operational reviews and discussions.

The Senior Group Director of Growth Analytics drives strategies for multi-platform growth, manages analytics teams, and develops measurement plans for clients.

Direct advanced analytics for a marketing agency, leading a team that develops statistical models, marketing mix models, attribution algorithms, campaign tests, and ROI analyses. Manage client engagements, mentor analysts, improve analytical methodologies, productionize models, and collaborate with business intelligence and data engineering teams. Translate complex technical findings into actionable business recommendations while supporting media optimization and marketing effectiveness initiatives.

Lead a team of analysts delivering strategic analytics and business intelligence solutions. Establish data quality, governance, documentation, KPI, and reporting standards; oversee reconciliation and complex analyses; guide visualization and analytics practices; evaluate tools and automation opportunities; manage the team roadmap and performance metrics; and coach analysts while partnering with executives and stakeholders.

Provides actuarial leadership for AI-enabled disability claims models across LTD and STD claim lifecycles. Designs, validates, calibrates, monitors, and interprets models; connects outputs to loss ratios, reserves, claim duration, return-to-work outcomes, and intervention effectiveness. Partners with claims, data science, technology, finance, and vendors on model governance, deployment, reporting, and operational adoption. Communicates model performance, limitations, financial impact, and recommendations to technical and business leaders.

Own marketing analytics, attribution modeling, full-funnel measurement, forecasting, experimentation, and ROI optimization across campaigns, partners, and field marketing. Build Tableau dashboards, ensure martech data quality, implement AI/ML predictive capabilities, and translate complex data into strategic recommendations for marketing leadership. Partner cross-functionally on performance narratives, QBRs, and budget planning while mentoring junior analysts and establishing analytics best practices.

Leads advanced Revenue Growth Management analytics, complex business problem solving, next-generation capability development, AI use-case implementation, strategic projects, and organizational training. Partners with Advanced Analytics and Data Science teams to build scalable tools, translate RGM methodologies into solutions, and generate actionable insights across brand, trade, pricing, and commercial initiatives. Manages three direct reports and supports enterprise-wide analytical capability building.

Supports Revenue Growth Management through ad hoc analysis, pricing and promotion projects, analytical tool development, and maintenance. Builds Excel and Power BI capabilities, contributes to Next Gen RGM solutions, and supports AI integration into business processes. Partners with brand and commercial teams to generate actionable insights, improve efficiency, and inform strategic decisions.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build predictive models, data models, dashboards, cohort analyses, and A/B tests using SQL, Snowflake, dbt, and Looker. Partner with product, operations, engineering, sales, finance, and leadership to identify pricing and revenue opportunities, improve supplier retention, and translate marketplace insights into measurable business impact.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build scoring models, predictive machine learning models, dashboards, category and keyword data models, cohort analyses, and A/B tests. Partner with general management, product, operations, engineering, sales, finance, and customer success to translate marketplace insights into pricing, revenue, retention, and supplier engagement decisions.

Leads analytics teams delivering digital media measurement, testing strategies, campaign analysis, dashboards, and actionable insights for client accounts. Develops cross-channel measurement frameworks, evaluates marketing performance against KPIs and ROI, communicates findings to clients and stakeholders, and recommends investment and strategy optimizations. The role also develops analytics talent and ensures analytics integration across agency production processes.

Lead end-to-end research and production pipelines for systematic trading strategies. Conduct alpha research using statistical and ML techniques on high-frequency tick and order-book data, build Monte Carlo simulations and real-time risk monitoring, design position-sizing and stress-testing frameworks, mentor junior researchers, and collaborate with trading and infrastructure teams to deploy production-grade models and risk controls.

The Senior Data Scientist will analyze product data, design and manage experiments, define KPIs, and collaborate with cross-functional teams to improve product performance and user experience.

The Senior Data Scientist will analyze product data, design A/B tests, define KPIs, and collaborate with teams to improve product performance and user experience.

Design, test and implement consumer credit underwriting and pricing strategies using historical data. Extract and analyze data, build regression and machine learning models, employ decision-tree tools, optimize strategies across the credit lifecycle, ensure data quality, automate reporting, and present insights to management.

Use data analytics to identify and reduce operational risk across EP & TBM. Analyze large datasets, perform root cause analysis, recommend scalable process improvements, build dashboards and visualizations, measure initiative effectiveness, automate reporting, and partner with engineering, product, and risk teams to prioritize and implement risk reduction.

Provide quantitative analytics and reporting for private credit portfolios (Direct Lending, Asset-Based Finance, Structured Credit). Build and automate models, dashboards, and data workflows; validate and reconcile investment data; support underwriting, portfolio monitoring, risk oversight, and senior reporting; collaborate with investment, risk, finance, operations, and technology teams.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

Develop, implement, and maintain counterparty credit risk models (PD/LGD/EAD). Collaborate with credit risk teams, run performance monitoring, address model review findings, ensure model governance compliance, and support validation, audit, and regulatory requests. Apply econometric and predictive modeling techniques to large datasets using statistical programming.

Design, validate, and deploy advanced quantitative models and predictive analytics to improve efficiency, reduce costs, and increase revenue. Collaborate with business partners to gather requirements, perform big data analysis, run simulations, and produce reports. Support model verification/validation and deployment.

The Staff Data Scientist will work with product teams to analyze data, identify improvement opportunities, design experiments, and create reporting dashboards to enhance contract management workflows.

Write complex SQL queries and manipulate large datasets to produce end-to-end financial analysis of domestic and global roaming traffic. Gather requirements, identify data sources, rationalize results, produce written analysis, troubleshoot queries, and collaborate cross-functionally to make recommendations and support reporting needs.