Top Data & Analytics Jobs

Design, develop, and deploy Power BI reports, dashboards, and data models. Integrate and transform data, optimize report performance, analyze trends, and present insights. Collaborate with clients and cross-functional teams, provide Power BI technical support, and share best practices and training.

Provide day-to-day support and maintenance for contract data environments, including SharePoint Online, Power Platform, PRISM outputs, and Power BI dashboards. Develop and test database fields, reports, dashboards; extract, validate, and document contract/procurement data; support migrations and knowledge transfer.

Own the companys end-to-end data graph, ensure data quality and lineage, and deliver Sigma dashboards and client-facing reports. Act as single owner for triage, prioritization, and translation of business questions into actionable insights, partnering closely with data engineering and business leaders to set standards for production-ready reporting.

Conduct and manage quantitative and qualitative public health research: design studies and surveys, collect and clean data, perform statistical analyses, match health datasets, guide IRB approval, and translate findings into reports, briefs, visualizations, and policy-relevant communications.

Design, build, and maintain cloud data pipelines and governance on Databricks or Snowflake. Optimize Databricks clusters, implement Delta Lake, automate CI/CD with Azure DevOps, integrate with Azure services, and create monitoring and governance solutions.

Support end-to-end data warehouse lifecycle: gather requirements, design systems and ETL (Teradata), develop, tune performance, document for SOX, provide production support and occasional on-call pager rotation.

Manage, clean, and analyze program datasets to support the TARS program. Produce dashboards and reports (Excel, Power BI, Tableau), ensure data quality and governance, develop SOPs, support audits and ad hoc requests, and collaborate with stakeholders to inform decision-making.

Lead design and operation of a cloud-native data platform: set technical direction, build scalable ingestion/processing/warehousing pipelines (batch & streaming), support ML data needs, mentor engineers, drive projects end-to-end, run planning/standups/on-call, and eventually lead a data engineering team.

Analyze and document business strategies, brand activities, consumer contacts and social media. Collaborate with SMEs and tech partners to establish technical vision, produce reports and insights to support product, promotion and consumer-service decisions across the organization.

Build and maintain reliable ETL and real-time data pipelines, enable data-driven product decisions, ensure relevant event collection, align data roadmap to business goals, and collaborate with platform, security, and analytics teams to deliver actionable insights.