Top Data & Analytics Jobs

Use ETL and Unix tools to transform and load data in data lakes. Develop AWS-based data workflows, maintain data lakes and warehouses, and collaborate with technical and business stakeholders to support infrastructure, analytics, reporting, and data-related problem solving.

Own analytics implementation and data integration for B2B ecommerce clients. Build GA4 and Google Tag Manager implementations, marketing pixels, conversion APIs, product feeds, BigQuery data models, and Looker Studio dashboards. Reconcile analytics, advertising, ecommerce, and ERP data; audit tracking issues; support CRO and experimentation; and translate findings into actionable recommendations for clients and leadership. Collaborate with developers, marketers, merchandisers, and other stakeholders while maintaining accurate, privacy-compliant measurement.

Lead development of compliance dashboards, automated reports, and integrations between trade compliance systems and ERPs. Translate regulatory data into visuals, manage integration and implementation projects, coordinate cross-functional teams, and serve as subject-matter expert to drive compliance improvements and automation.

Build and maintain Power BI and Oracle OTBI workforce dashboards covering headcount, turnover, recruiting, and compensation. Analyze ad hoc HR data requests, support executive reporting, validate and govern HR data, investigate anomalies, document methodologies, and partner with HRIS and BI teams on data pipelines and reporting processes. Provide training and technical support to HR users.

Design, develop, and maintain Power BI dashboards and KPI frameworks; build scalable reporting and analytics solutions; integrate multiple data sources; develop and optimize SQL queries; automate reporting processes; perform deep-dive analyses and deliver executive-level reporting; partner with stakeholders and data engineering to improve data quality and support forecasting and AI-enabled analytics.

Analyze fundraising data by building reports, dashboards, data pulls, forecasts, and operational metrics. Clean and validate Salesforce and related data, identify quality issues, document standards, and support finance reconciliation. Build lightweight tools and workflows using spreadsheets and Airtable, ensuring important data flows into Salesforce. Partner cross-functionally on reporting architecture and coach fundraisers on effective system use.

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.