Top Analytics Jobs

Lead data analysis for merchants, manage projects to improve product and acquisition strategies, and communicate insights effectively.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Lead a team in data analytics to identify and mitigate compliance risks in lending using statistical modeling and machine learning. Oversee fair lending reviews and collaborate with cross-functional teams to implement data-driven strategies in compliance operations.

Lead analytics and business intelligence activities supporting payment reconciliation, bank reporting, Finance year-end reporting, data pipelines, and occasional product A/B testing. Monitor and troubleshoot AWS DMS and Fivetran pipelines, maintain dbt-based analytics workflows, identify data issues, and deliver accurate insights. The role partners cross-functionally with Finance, Product, and Operations and requires strong SQL, data modeling, stakeholder management, communication, and business acumen without people-management responsibilities.

Leads advanced analytics initiatives addressing complex business challenges. Develops data models, algorithms, prototypes, and actionable insights; manages end-to-end project workstreams, mitigates risks, and presents recommendations to leadership. Partners with cross-functional teams, oversees data quality and analysis strategies, and mentors team members while ensuring high-quality outputs and alignment with strategic objectives.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

Support collection, analysis, interpretation, and presentation of education and workforce data. Conduct descriptive and applied statistical analyses, build visualizations and dashboards, communicate findings to stakeholders, and collaborate across teams to inform decisions and improve student outcomes.

Provide geospatial and market intelligence to support leasing, marketing, investments, and development. Maintain geospatial datasets and trade areas, perform location-based analyses integrating internal and third-party data, build maps/dashboards/reports, and apply AI-enabled tools and automation to improve research, reporting, and decision support across the organization.

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.

The role involves designing and implementing advanced analytics for the Financial Investigations Unit, focusing on detecting insider threats and financial crime risks by analyzing complex datasets and collaborating with cross-functional teams.

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.

Leads Walmart’s external data strategy, including vendor partnerships, data acquisition, research roadmaps, testing frameworks, performance measurement, reporting, and data quality. Evaluates external data opportunities, develops investment business cases, partners with Data Science teams, and coordinates cross-functional enterprise initiatives. Uses advanced analytics and complex datasets to generate executive insights and support merchandising and strategic decision-making.

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.

Lead CMI predictive analytics and insights for the US, partner with cross-functional leaders, manage key metrics and data assets, embed AI-enabled reporting, oversee vendor data ingestion (Circana/Numerator/NIQ), guide pricing and forecasting analytics, and translate data into actionable business recommendations.

As a Data Analyst at GigSafe, you'll manage data pipelines, analyze data using Python and SQL, and convert insights into actionable business decisions in a collaborative environment.

Develop and deploy fraud detection models using analytics and machine learning, monitor real-time transactions, investigate incidents, design dashboards and reports, collaborate with IT and security, ensure regulatory compliance, and recommend preventive measures against payment and e-commerce fraud.

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.

Develop, implement, and validate statistical and econometric credit risk models for Freddie Mac's single-family mortgage portfolio. Perform loss forecasting, back-testing, stress testing, and model performance monitoring. Provide technical analytic support, documentation, and model implementation coordination; apply machine learning and econometric techniques to large datasets to inform business and risk decisions.

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.

Lead advanced analytics for a marquee Beverage Alcohol client, developing statistical models, translating insights into actionable strategies, driving client growth, and supporting consultative sales. Manage projects, coach teams, and develop analytic offerings and best practices to improve client outcomes and revenue.

Own CRM analytics, reporting, segmentation, attribution, and data quality for email, push, in-app, and SMS across multiple FOX brands. Write and troubleshoot SQL against Snowflake/Braze, build attribution models, audit segments, support experimentation, and deliver insight-driven executive summaries to marketing and editorial stakeholders.