Top Data & Analytics Jobs

Leads Mattel’s global insights and analytics organization, integrating consumer, shopper, retail, cultural, market, and business data to guide enterprise strategy and growth. Builds connected intelligence capabilities using predictive analytics, AI, and data science; establishes measurement standards, decision frameworks, scorecards, and actionable recommendations. Develops a globally integrated, high-performing multidisciplinary team and transforms the function’s operating model, technology, partnerships, and capabilities.

Designs and enhances analytics solutions for inbound logistics and customs compliance. Transforms operational data into trusted datasets, dashboards, reports, visualizations, automated pipelines, and workflows. Partners with logistics, transportation, customs, finance, IT, and supply chain stakeholders to improve visibility, data quality, reporting standards, process efficiency, and decision-making. Leads analytics projects, supports executive reporting, promotes self-service analytics adoption, and evaluates emerging technologies including AI.

Leads forecasting strategy for Walmart Marketplace Operations by developing short-, mid-, and long-range demand forecasts, predictive models, time-series analyses, scenario planning, dashboards, and executive insights. Partners with operations, finance, product, marketing, workforce management, data science, and engineering teams to improve forecast accuracy, automate processes, identify operational risks, and guide strategic decisions. Establishes forecasting governance and best practices while communicating assumptions, performance, risks, and recommendations to senior leadership.

Leads advanced data analytics strategy, data sourcing, quality management, governance, modeling, automation, and visualization. Develops actionable insights using Tableau, Power BI, SQL, Python, and big data techniques. Oversees geospatial mapping, collaborates with stakeholders, aligns analytics with business and regulatory objectives, mentors associates, and drives continuous improvement and data-centric practices.

Leads data analytics strategy, advanced analysis, automation, visualization, geospatial mapping, and data quality initiatives. Evaluates data sources, ensures integrity and governance, develops dashboards and actionable insights, aligns analytics with business and regulatory objectives, and mentors team members while driving continuous improvement.

Designs and maintains Power BI reports, dashboards, semantic models, and end-to-end analytics solutions. Builds ETL processes, data pipelines, and data transformations, performs advanced SQL/DAX/M work, automates reporting (including approved AI tools), validates data quality, recommends process improvements, and presents insights to technical and non-technical stakeholders. Individual contributor who may lead moderate-risk projects and deliver user training.

Lead global tracking and quantitative market research programs for Fortune 500 clients. Manage data collection, processing, tabulation, analysis, and reporting while translating findings into compelling business insights. Build trusted client relationships, lead project activities, manage financial performance, supervise and mentor team members, and collaborate with programming, design, marketing, data collection, and data science teams.

Lead and manage the Insights team across research design, project execution, analysis oversight, and QA. Serve as primary project lead, translate findings into actionable deliverables, oversee survey programming and data quality, coach team members, improve processes, and support client presentations and operational planning.

Build and maintain scalable data platforms and systems that transform raw market data into validated analytical datasets, including bars, residuals, curves, volatility surfaces, and greeks. Collaborate with trading, research, and external vendor teams to understand datasets and workflows, implement calculations, document technical solutions, and ensure reliable delivery through strong testing and validation practices.

Build and maintain centralized, validated data platforms covering reference, fundamental, market, index, exchange, instrument, and security master datasets. Analyze vendor data, design scalable data models, implement quality controls, resolve processing issues, and partner with quantitative researchers and traders. Provide technical leadership and mentorship while maintaining testing and system design standards across the Core Data team.

Manages commercial real estate data portfolios by conducting 50+ daily calls, investigating listings and transactions, validating AI-assisted research, and resolving data quality issues. Builds relationships with brokers, owners, developers, and investors while supporting client onboarding, product adoption, listing performance reviews, and training. Analyzes market trends and collaborates with regional teams to improve coverage, accuracy, and client value.

Supports the Data Intelligence & Advisory team by gathering business requirements, documenting user stories, participating in Agile ceremonies, translating requirements into technical designs, exploring wireframes, supporting testing and troubleshooting, and assisting with tool deployment planning. The intern works under direct supervision while collaborating with product owners, business users, development, testing, vendors, and internal teams.

Develop and implement data pipelines and large-scale datasets for reporting and analytics. Analyze data sources for quality and availability, standardize data structures, document technical designs, create unit tests, and support QA testing. The internship provides supervised, practical data engineering experience, mentorship, leadership exposure, and opportunities to present project outcomes.

Supports portfolio governance, enterprise architecture, technology finance, and IT delivery initiatives. Helps define business problems, develop AI solution frameworks and roadmaps, gather requirements, analyze data, test and deploy tools, document changes, and support Agile delivery. Collaborates with product owners, business users, developers, and testers to improve processes and inform leadership decisions.

Own merchant retention and SaaS analytics, identifying drivers of churn, retention, and software adoption. Build trusted metrics, dashboards, data models, and scalable reporting used by executives and cross-functional teams. Partner with Product, Customer Success, Finance, Sales, and Engineering to translate complex analyses into business recommendations, measure retention initiatives, and automate recurring workflows using data and AI tools.

Conduct market and competitive intelligence across Autodesk’s industries, analyzing AI developments, competitors, startups, funding, products, partnerships, research, and regulations. Partner with research teams to define markets, size opportunities, map competitors, test assumptions, and synthesize qualitative and quantitative findings. Lead projects, manage contributors and timelines, produce executive-ready briefs and presentations, and improve intelligence systems and processes using AI and automation with appropriate human validation.