Top Data & Analytics Jobs

Leads enterprise R&D portfolio data and analytics capabilities, including data models, pipelines, integrations, applications, dashboards, workflows, and reporting. Partners with R&D, PMO, Finance, and IT stakeholders to improve portfolio decisions, data quality, governance, adoption, and operating practices. Develops insights on strategic alignment, resources, investment, performance, cycle times, and risk using Power BI, Microsoft Fabric, Power Apps, Power Automate, and AI-assisted development.

Design, build, and operate scalable ETL/ELT pipelines and data platform capabilities to support analytics, AI/ML, and product needs. Lead technical designs, mentor engineers, implement DataOps/CI/CD and observability, ensure data quality/governance/security, and optimize performance and cost across cloud-based data systems.

Maintain and manage master data (customer, supplier, product); analyze data quality and perform profiling; support data cleansing, migration, integration, and MDM initiatives; collaborate with IT and business teams; and develop training and user support for MDM processes and tools.

Support the production of analytics reports within the Global Analytics and Performance department by ensuring timely delivery, quality control, client interaction, and project management.

Extract, transform, and report EHR data by writing complex SQL queries, building reusable reports and dashboards (Excel, Crystal, Cognos), automating ETL and scripts, supporting end users, and monitoring clinical quality measures (NCQA/HEDIS).

Maintain and verify client and account data accuracy through data entry, research, troubleshooting, quality control, and cross‑department collaboration. Support onboarding, training, and special projects while responding to stakeholder inquiries.

Provide HMIS data administration, develop and maintain reports, extracts, visualizations, and data transformations. Validate data quality, document requirements and tests, support users via help desk and training, and update report catalogs and data dictionaries to meet CoC and HUD standards.

Lead administration and architecture of the Blackbaud Raiser's Edge NXT database to ensure data integrity, integrations, governance and reporting. Build data strategy and 360-degree donor profiles, create complex queries/exports, manage ETL and integrations, support fundraising and alumni engagement campaigns, drive adoption and KPIs, and partner with cross-functional teams to optimize CRM, analytics, and technology roadmap.

Lead enterprise data governance strategy and implementation, strengthening policies, control frameworks, BCBS 239 compliance, data quality, lineage and CDE management. Advise executives, manage regulatory and audit engagements, drive remediation programs, partner with business and technology to improve governance, and define KPIs/KRIs to measure program effectiveness.

Own and operationalize the go-to-market data foundation: unify BigQuery pipelines (revenue, spend, funnel), reconcile analytics (Amplitude, GA4), build semantic layers and conversational BI, implement multi-touch attribution and LTV:CAC, eliminate manual reporting, and lead a small data engineering team while remaining hands-on with dbt.