Top Data & Analytics Jobs

The Learning and Impact Manager will implement SPAA’s monitoring, evaluation, and learning systems; develop measurement frameworks; analyze portfolio and ecosystem data; facilitate learning reviews; and translate evidence into strategic recommendations, reports, funder engagement, and field-building content. The role partners across operations and programs to support adaptive management, grantmaking insight, impact reporting, and convenings. It requires strong synthesis, facilitation, organizational learning, and impact measurement skills, with approximately 25% domestic or international travel.

Build and maintain Power BI dashboards and Salesforce reports; analyze sales, pipeline, forecast, pricing, margin, manufacturing, procurement, and cost data. Reconcile Salesforce and ERP information, maintain CRM data quality, produce recurring reporting packages, and support sales operations. Develop Excel analyses, document reporting processes, identify trends and discrepancies, and clearly communicate findings to sales, operations, and executive stakeholders.

Analyze Medicare Advantage and ACA risk adjustment data, CMS datasets, claims, encounters, eligibility, pharmacy, and medical record data. Develop SQL queries, reports, scorecards, dashboards, forecasts, and recommendations to improve risk adjustment performance, data quality, operational efficiency, and revenue. Partner with clients, executives, operations, technology, and analytics teams on solution development, process improvement, and strategic initiatives.

Design and maintain Power BI or Tableau dashboards, analyze performance trends across multiple systems, monitor contractual benchmarks, and produce reports for leadership, quality assurance, and compliance teams. Train staff to interpret data visualizations and support data-informed decisions, accuracy, continuous improvement, and improved workforce service delivery.

Establish and lead the People Analytics function, building trusted workforce data foundations, governance, privacy standards, analytical products, workforce planning capabilities, and AI-enabled decision support. Partner across HR, Finance, IT, and business leadership to deliver executive insights, improve workforce decisions, and scale analytics operations. Recruit and develop the analytics team while ensuring responsible data use, global-local compliance, stakeholder adoption, and alignment with organizational priorities.

Develop demand forecasts, capacity and staffing plans, gap analyses, and what-if scenarios. Build recurring and ad hoc reports using Looker and spreadsheets, monitor real-time performance, investigate variances, and provide actionable recommendations to business leaders and operations stakeholders.

Design and maintain conceptual, logical, and physical data models for enterprise applications and warehouses. Translate business requirements into scalable data structures, dimensional models, and data dictionaries. Perform data profiling, quality assessments, validation, and database optimization. Collaborate with architects, ETL developers, DBAs, analytics teams, and business stakeholders while supporting governance, lineage, migration, integration, and modernization initiatives.

Own Gradial’s end-to-end data platform, including Postgres modeling, multimodal indexing and search, production pipelines, warehouse architecture, governed metrics, and self-service analytics. Establish data quality, contracts, observability, and customer lifecycle instrumentation while setting the platform roadmap and making scalable build-versus-buy decisions. The role requires hands-on technical leadership, strong architecture judgment, and collaboration across engineering, leadership, and go-to-market teams.

Builds and maintains Azure-based data infrastructure, including scalable ingestion pipelines, Databricks processing workflows, governance controls, data quality validation, and curated datasets for analytics and reporting. The role uses Python, PySpark, SQL, Azure Data Factory, Azure Functions, Logic Apps, and Azure Data Lake Storage Gen2, while partnering with IT, Finance, Operations, and Digital stakeholders. It is hybrid and requires several days in the Alexandria, Virginia office.

Own and evolve production data systems supporting healthcare, claims, billing, analytics, and reporting. Design resilient ingestion patterns, data contracts, models, schemas, and pipelines that handle incomplete, duplicated, delayed, and changing data. Improve performance, observability, failure handling, retries, backfills, and replay safety. Collaborate with engineering, product, operations, and analytics teams while making architecture decisions and documenting technical changes.