Top Analytics Jobs

Lead analytics strategy across eCommerce, content, advertising, and live events. Partner with executives to turn complex data into actionable business recommendations, identify opportunities and risks, shape the analytics roadmap, and guide data investments. Manage and develop a team of three analysts while using AI, automation, scripting, statistical analysis, and BI tools to accelerate decision-making and improve business outcomes.

The IT Data Analytics Intern will clean, transform, query, and analyze enterprise data; develop Power BI or Tableau dashboards; automate manual reporting; and document data definitions, workflows, and business requirements. The intern will collaborate with data engineers, IT analysts, business stakeholders, and cross-functional teams to support data-driven decision-making and ensure data quality and integrity.

Own end-to-end analytics for a live-service game, including SQL analysis, A/B testing, metric reconciliation, dashboards, pipelines, simulations, forecasting, and applied ML. Translate findings into product, monetization, live-ops, and economy decisions. Use AI coding agents while validating their outputs, build reliable internal tools and services, maintain reporting, and communicate practical recommendations to technical and nontechnical stakeholders.

Leads and mentors a team of data analysts supporting the Wellos health and wellness app. Develops analytics strategies, oversees data collection and interpretation, builds data models and dashboards, and translates findings into strategic recommendations for senior leaders. Partners with cross-functional stakeholders, improves analytics processes, and ensures accurate, timely, and actionable reporting using tools such as Python, R, and SQL.

Leads and mentors a data analytics team supporting the Wellos health and wellness app. Develops analytics strategies, oversees data collection and interpretation, builds data models and dashboards, and translates findings into strategic recommendations for senior leaders. Partners cross-functionally to define data requirements, improve analytics processes, and ensure accurate, timely, and actionable insights.

Leads complex healthcare analytics projects using clinical, administrative, claims, and related datasets. Develops advanced SQL queries, analytical methodologies, cohorts, outcomes, and segmentation approaches; investigates data anomalies; translates client needs into analytic requirements; validates deliverables through quality assurance; and collaborates with consultants, statisticians, and subject matter experts to produce actionable insights for strategic decisions, clinical quality improvement, and real-world evidence.

Leads advanced analytics for supply chain operational performance across OTIF, SQEP, automation readiness, claims, returns, and transportation. Builds unified data views, predictive and relationship models, scorecards, supplier reporting, and scalable visualizations. Translates complex data into actionable recommendations, identifies root causes, quantifies business impact, evolves supplier incentives, and influences cross-functional leaders across merchandising, supply chain, and suppliers.

Leads advanced analytics initiatives, data modeling, algorithm development, and end-to-end analytical projects. Manages and mentors a high-performing team, partners with senior leadership and cross-functional stakeholders, and translates insights into strategic recommendations. Oversees prototype development, testing, implementation, and continuous improvement of analytics solutions supporting Walmart’s third-party marketplace, including assortment, search, pricing, and category performance.

Ten-week Enterprise Analytics internship supporting data analysis, business intelligence, predictive modeling, dashboards, reporting, market research, and strategy projects. Interns gather and validate data, develop analytical tools, translate findings into business recommendations, and support retirement strategy planning. The program includes mentorship, executive exposure, training, networking, and cross-functional collaboration with analytics, product, operations, marketing, and wealth management teams.

Leads digital measurement analytics for marketing platforms, including data collection and validation, dashboard development, feature performance reporting, user behavior analysis, journey friction identification, and UX improvement recommendations. Partners with marketing, technology, digital, and analytics stakeholders to deliver strategic priorities, manage projects, communicate insights, and build analytics roadmaps using tools such as Adobe or Google Analytics, Python, SAS, SQL, Tableau, and AWS SageMaker.

Leads data analytics projects that generate insights for strategic decision-making. Develops visualization solutions with Power BI and Tableau, builds data pipelines, applies statistical modeling and predictive analytics, and manages data integrity and security. Collaborates with clients on tailored data solutions while coaching analytical teams, managing accounts, overseeing project success, and identifying business opportunities.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Leads executive-facing analytics for Home Lending Product Strategy, framing hypotheses, measuring impact, evaluating tradeoffs, and delivering recommendations and business cases. Coordinates analysts across matrixed teams, partners with Strategy, Product, Marketing, Finance, Originations, and Technology, conducts market and competitor research, and translates complex analysis into concise insights for senior decision-makers.

Leads global customer experience analytics strategy, developing analytical frameworks, predictive models, KPI systems, dashboards, forecasting, segmentation, retention analysis, and operational insights. Partners with CX, contact center, product, data, and business leaders to improve satisfaction, efficiency, retention, and business outcomes. Manages analytics initiatives and teams while translating complex data into executive-level recommendations and narratives.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; and drive data-informed decisions and outcomes. The role requires independent data work, strong problem-solving, stakeholder influence, and end-to-end ownership of ambiguous initiatives.

Own end-to-end analytics for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface actionable insights; and influence stakeholders’ decisions. The role requires independent data work, strong analytical judgment, clear communication, and ownership of ambiguous, high-impact initiatives.

Supports People Analytics initiatives by collecting, validating, analyzing, and visualizing workforce data. Develops dashboards, reports, scorecards, and AI-enhanced analytics solutions; prepares data, maintains quality, and communicates insights to HR and business leaders. Collaborates with HRIS, Talent Acquisition, and global stakeholders on reporting automation and HR technology improvements while protecting data privacy and confidentiality.

Manage credit card strategy and analytics, including risk management, targeting optimization, reporting, strategy validation, segmentation, modeling, and ad hoc analysis. Use SQL, SAS, Python, and analytical software to develop and execute strategies, automate reporting, maintain data quality, and present insights to management. The role supports loss mitigation and portfolio growth through data-driven recommendations and cross-functional project execution.

Aggregates enterprise data, builds advanced financial models, and delivers analytics, dashboards, reports, and executive insights supporting growth initiatives. Develops conversational and workflow agents using Claude, Microsoft Copilot Studio, Snowflake, and Salesforce; automates reporting and data distribution; and partners with stakeholders to define requirements. The role leads analytical projects from ideation through executive presentation and supports forecasting, advisor economics, growth ROI, and operational efficiency initiatives.

Lead PMG’s analytics organization across clients, industries, and regions. Define the analytics capability roadmap, scale teams, guide senior client relationships, and align measurement strategies with business objectives. Oversee attribution, incrementality, reporting, experimentation, and data architecture while partnering cross-functionally. Manage Director-level leaders, succession planning, performance processes, governance, and thought leadership. Use AI, automation, and emerging analytics technologies to improve efficiency, decision-making, and marketing performance.

Lead advanced analytics initiatives by analyzing structured and unstructured customer data, developing statistical insights, dashboards, reports, and data-driven recommendations. Partner with cross-functional teams and organizational leaders to guide prioritization and improve customer experiences. The role requires experience with SQL, Python or R, Tableau or Power BI, big data platforms, and analytical storytelling. Experience with digital interaction data, AI, generative AI, and automation is preferred.

Transforms ecommerce and consumer data into actionable insights through performance reporting, SQL/Python analysis, dashboards, experimentation, and measurement strategy. Partners with product, marketing, merchandising, UX, engineering, and data teams to improve customer experiences and business outcomes. Maintains tracking methodologies, supports personalization and A/B testing, contributes to analytics roadmaps, and serves as an internal web analytics subject matter expert.

Leads advanced analytics for Mattel’s direct-to-consumer ecommerce business, including statistical modeling, experimentation, performance measurement, predictive analysis, SQL-based data work, dashboard development, and data storytelling. Partners with engineering, product, marketing, merchandising, and technology teams to improve data architecture and decision-making. Mentors analysts, establishes analytics best practices, and supports consumer behavior, marketing effectiveness, and ecommerce growth initiatives.

Lead strategic analytics across the Our Brands portfolio, connecting customer, market share, sales, and profit data to drive business results. Partner with merchandising, pricing, promotions, and analytics leadership to establish category-review best practices. Oversee analytical tracking, deep-dive methodology, reporting, process implementation, compliance, continuous improvement, and training. Troubleshoot category roadblocks, coach analysts, and supervise direct reports while advising senior leaders and ensuring performance management.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.