Top Analytics Jobs

Supports quantitative analytics initiatives under the Manager of Quantitative Analytics. Applies statistical and modeling techniques to evaluate credit, market, liquidity, and profitability risks; researches literature; develops simulations and analyzes complex datasets. Collaborates with credit, risk, accounting, treasury, and IT teams while gaining exposure to financial services, model development, and senior leadership.

Ten-week summer internship supporting technology and analytics teams across areas such as data, AI, software development, cybersecurity, infrastructure, UX/UI, DevOps, and technology solutions. Interns collaborate with engineers and architects, help design and test innovative solutions, support internal systems, and develop technical and analytical skills. The program begins in May 2027 and is intended for students graduating December 2026 or later.

Analyze user behavior data and produce reports using advanced Google Analytics configuration, Google Tag Manager, R, and visualization tools. Aggregate data from e-commerce and marketing automation platforms, including Drupal-based sites, and collaborate with technology, product, and marketing teams to apply analytics toward business challenges.

Analyze multiple data sources, translate complex findings into actionable business insights, and communicate recommendations to cross-functional teams. The role supports Brand Management, Finance, Sales, and other partners by delivering real-time insights, influencing business decisions, solving ad hoc problems, and developing scalable analytics solutions that improve business results.

Analyze consumer, shopper, market, and retailer data to uncover insights that inform business strategy, product design, pricing, media, retail, and go-to-market decisions. Conduct qualitative research, identify business drivers, communicate findings, and influence cross-functional teams including Brand Management, Finance, Sales, and R&D. The 12-week internship requires strong analytical, communication, curiosity, creativity, and collaboration skills.

Analyze multiple data sources, derive actionable consumer insights, translate complex analytical results into clear conclusions, and influence Customer and Brand teams’ business decisions. Interns collaborate across teams, solve ad hoc problems, communicate findings, and support technology-enabled analytical solutions during a 12-week internship.

The role involves collaborating with business users on analytics, processing data, and applying statistical methods to analyze large datasets and present insights.

The Head of Actuarial Pricing Analytics will lead the development of statistical models, enhance modelling processes, and drive AI adoption, while collaborating across teams to optimize pricing strategies for insurance products in North America.

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.

Lead a Customer Engagement team delivering marketing analytics and commercial intelligence to major advertisers. Manage client portfolios, drive analytics projects (MMM, attribution, experiments, segmentation, pricing), ensure delivery quality and adoption, grow accounts, hit revenue/profit goals, coach staff, and contribute to business development and internal initiatives.

Uses consumer, shopper, market, and retail analytics alongside qualitative research to uncover insights, inform business strategy, evaluate advertising and promotional investments, and influence product, pricing, media, retail, and go-to-market decisions. Partners cross-functionally with Brand Management, Finance, Sales, R&D, and other teams to communicate findings, identify growth opportunities, and drive action.

Leads an analytics team delivering actionable insights, forecasting, statistical analysis, reporting automation, visualization, and client-focused tools. Oversees analysts, develops team talent, enhances databases and analytical processes, manages client and vendor relationships, and presents recommendations to executives. The role requires advanced Excel, business intelligence, data mining, statistical modeling, cross-functional collaboration, and strategic leadership, with health insurance analytics experience preferred.

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.

Analyze mobile application data using Adobe Mobile Analytics, including iOS, Android, and hybrid app analytics. Utilize Sitecatalyst and Omniture for insights.

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.

Lead MyFitnessPal’s product analytics practice and team, advising the Chief Product Officer and senior leaders through actionable data insights. Define product metrics, oversee experimentation, analyze customer and marketing behavior, improve instrumentation and data infrastructure, and shape product strategy, roadmaps, engagement, and retention. This hands-on director role combines executive communication, team development, analytical leadership, and direct analysis across consumer iOS and Android applications.

Manage end-to-end polling operations, including questionnaire programming, sample selection, survey monitoring, data weighting, quality control, and client deliverables. Collaborate with project, data science, and polling teams on experiments, methodologies, and analytics surveys. Improve polling processes, coordinate vendors, analyze survey data under tight deadlines, and support strategic recommendations 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.

Leads analytics delivery across multiple clients, combining marketing data to evaluate performance, optimize investments, and inform growth decisions. Designs and implements advanced measurement approaches including attribution, incrementality testing, experimentation, and full-funnel measurement. Develops measurement frameworks, communicates insights to clients and senior stakeholders, partners with technical and marketing teams, supports new business, and mentors junior analysts.

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.

Develop and validate credit risk and marketing analytics models (scorecards, behavior, collections, targeting). Document requirements and model details, perform data preparation, variable selection/reduction, and validation (KS/Lift/PSI). Apply ML techniques and support online/digital analytics and text mining.

Monitor KPIs and business health across customers, segments, and systems; identify anomalies and investigate root causes across data, operations, and product changes. Build dashboards, alerts, and monitoring systems, collaborate with Engineering, Operations, and Product on issue triage, and create documentation and playbooks that improve response times and data quality practices.