Top Analytics Jobs

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.

Leads business and customer analytics for vehicle service performance, analyzing repair order data, customer behavior, sentiment, churn, segmentation, and retention. Translates complex analytical findings into actionable insights, dashboards, reports, and presentations for senior stakeholders. Partners with data science, analytics, business, and field teams to define requirements, validate findings, develop customer success strategies, and influence improvements in loyalty, repair duration, revenue, and customer retention.

Analytics Manager partnering with sports clubs and leagues to identify high-value analytics opportunities, translate business needs into analytical solutions, and deliver actionable insights. Responsibilities include SQL-based analysis of complex datasets, Python/Pandas analysis and modeling, defining success metrics, collaborating with data science teams, validating outputs, and presenting executive-ready recommendations. The role requires strong sports business knowledge, stakeholder management, business acumen, and the ability to work independently in ambiguous environments.

Leads General Liability insurance pricing analytics, predictive modeling, model governance, and data science strategy. Develops, validates, deploys, and monitors advanced statistical and actuarial models supporting underwriting, profitability, and pricing decisions. Partners with actuarial, underwriting, product, claims, finance, and technology teams; communicates recommendations to senior leaders; manages complex projects; and leads, coaches, and develops analytical staff.

Builds complex data pipelines, analytical models, testing frameworks, and data-driven solutions using Python and SQL. Delivers A/B testing, customer journey analytics, data storytelling, and actionable insights for clients. Consults with senior leaders, develops data strategies, mentors junior staff, improves analyst efficiency through automation, and supports business development initiatives.

Analyzes complex datasets and builds Python and SQL data pipelines, testing frameworks, and analytical models. Partners with clients to understand business needs, deliver data-driven solutions, conduct A/B testing and customer journey analytics, and present actionable insights. Develops data strategies, automates recurring analytical work, scopes global projects, mentors junior staff, supports performance management, and contributes to business development proposals.

Lead end-to-end people analytics projects, integrating data from systems such as Workday and Phenom. Develop forecasting models, scalable analytical solutions, visualizations, and executive-ready insights to support workforce planning and organizational strategy. Apply statistical, predictive, AI-enabled, and data storytelling techniques while maintaining data governance and quality standards. Partner with senior leaders and cross-functional stakeholders to translate complex talent and organizational data into actionable recommendations.

Develops data-driven solutions for business problems through data mining, modeling, analysis, and visualization. Manages data logistics, structures, business rules, metadata, and analytical support tools. Deploys and validates analytical solutions, communicates findings and recommendations to stakeholders, and manages multiple projects, timelines, and scopes. Independently resolves complex problems and may oversee project work and team development.

Advances the firm’s clinical analytics platform, translating pharmacy and utilization-management expertise into scalable analytical frameworks. Partners with financial, analytics, clinical, and payer teams to standardize insight generation, validation, and communication. Develops pharmacist training, mentorship, educational materials, and enterprise clinical guidance while supporting specialty-drug, medical-pharmacy integration, and outcomes-focused strategy.

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.

The Senior Data Analyst transforms complex mortgage, financial, and operational data into actionable insights for the Mortgage Partnership Finance program. Responsibilities include portfolio and risk analysis, forecasting, dashboard and scorecard development, automated reporting, data validation, governance, and executive presentations. The role collaborates with Risk, Finance, Business Intelligence, Data Management, Member Services, and Mortgage Operations teams while mentoring junior analysts and interns.

Own the end-to-end analytical function for a core business area such as growth, product, AI and automation, or strategic partnerships. Define business problems and metrics, build reports, analyze data, design experiments, surface insights, and drive recommendations through execution. Partner with product, growth, finance, and operations leaders to influence decisions and improve key business outcomes.