Top Senior Data & Analytics Jobs

Lead a team to define architecture and roadmap for enterprise data lake and analytics platforms. Design and deliver large-scale batch and real-time pipelines, feature stores, metadata/lineage, and automated data quality frameworks to support production ML, advanced analytics and GenAI. Collaborate with data scientists, product and enterprise architects to evaluate emerging data technologies.

Design and own a federated, multi-institution medallion lakehouse on Azure Databricks and Microsoft Fabric. Define federated multi-tenant architecture, Unity Catalog security, data ingestion from ERP/SIS/LMS/CRM/Workday, and platform standards. Provide hands-on architecture guidance, review designs, document decisions, and partner with governance, delivery, and engineering teams to enable production analytics at multiple institutions.

Lead strategic analytics for marketing by building and deploying BI, predictive models, and reporting to influence senior leadership. Translate complex analyses into actionable recommendations, partner cross-functionally, identify market inefficiencies, advise on data acquisition, and support project delivery and stakeholder engagement.

Lead design and development of Power BI dashboards and automated HR/Finance reports, build data models, and ensure data governance and accuracy. Define KPIs and performance measurement frameworks, partner with HRIS and HR teams, and provide analytics consulting to HR stakeholders. Use SQL, Databricks, and AWS for scalable reporting, applying descriptive to prescriptive analytics for workforce planning, talent acquisition, performance, and attrition insights.

Conduct quantitative analysis of financial markets using complex datasets; develop data exploration tools; support policy analysis and reports for senior Bank leaders; communicate findings via publications and presentations; maintain educational materials and collaborate with multidisciplinary teams to inform monetary policy and financial stability work.

Design, build, and maintain scalable data pipelines and architectures (ETL, data lake, MDM) using Snowflake and Talend Cloud. Ensure data quality and governance, enable AI-readiness, pilot AI/ML proofs-of-concept, support reporting (Tableau/Power BI), and manage data operations and external vendors.

Build, scale, and maintain data pipelines and transformation layers to ingest diverse sources, ensure data reliability and freshness, optimize data models and compute, create a semantic layer for self-service analytics, support BI reporting, collaborate with cross-functional leadership, and mentor analysts and scientists on engineering best practices.

Transform raw data into clean, reliable datasets; analyze trends and produce actionable insights; design and build interactive Kibana dashboards and UX/UI mockups; maintain ETL/data pipelines and reusable analytics assets; document data models and workflows; collaborate with data engineers, analysts, and stakeholders in an Agile environment to support operational decision-making.

Lead analytics initiatives for Mattel's DTC ecommerce business: design advanced analyses and models, build scalable reports and dashboards, define measurement and experimentation frameworks, partner with engineering and cross-functional teams, and mentor analysts to drive data-driven growth.

Lead design and build of data transformations between SAP (ECC and S4) and Kinaxis using Talend, maintain legacy and S4 extracts, support Kinaxis-to-SAP closed-loop files, participate in integration testing and PI planning, drive continuous improvement and ensure data availability across S4/IBP implementation rollouts.