Top Senior Data & Analytics Jobs

Leads data engineering projects from technical design through completion. Designs and optimizes data architectures, pipelines, warehouses, and reusable data assets; develops ETL processes and integrations with SAP systems; performs data validation, testing, troubleshooting, and code reviews; supports data governance and master data management; collaborates with data scientists; and communicates analytical findings through reports, presentations, and visualizations.

Designs and optimizes scalable data pipelines, services, and models using Python and SQL. Ensures data quality, reliability, and performance across large-scale storage and processing systems. Collaborates with analysts, data scientists, engineers, and cross-functional teams to deliver actionable data solutions. Integrates LLM and agent-based capabilities into data platforms and supports clinical, business intelligence, and operational needs.

Provides strategic leadership for insights, analytics, forecasting, and AI-enabled decision support. Develops performance metrics, dashboards, forecasting models, scenarios, and actionable recommendations for senior stakeholders. Evaluates and scales digital and AI tools, ensures responsible data governance, coaches teams, manages external partners, and drives cross-functional adoption of evidence-based decision-making and continuous improvement.

The Senior Data Analyst develops advanced SQL analyses, maintains Tableau and Hex dashboards, validates warehouse metrics, and translates data into actionable recommendations for executives, funders, government audiences, and community partners. The role emphasizes data storytelling, reporting standards, secure PII-aware delivery, stakeholder collaboration, and business impact evaluation. It also offers growth into AI-assisted analytics, custom visualization, and data-to-report automation.

Serve as the bridge between developers, functional analysts, and business stakeholders. Configure Adobe Experience Platform and Customer Journey Analytics data connections, data views, metrics, and dimensions. Define business requirements, build dashboards and reporting solutions, manage project workflows in Jira, and translate technical configurations and data insights for technical and non-technical audiences. The role requires strong analytics experience and may involve Adobe Journey Optimizer, cloud analytics platforms, and consulting experience.

Build and run an enterprise data governance program: create policies, standards, and controls; establish data use and de-identification programs (HIPAA-compliant); define ownership and stewardship; measure and remediate data quality; maintain governance artifacts; align cross-functionally; report and drive adoption and training.

Build trusted GTM business intelligence by defining commercial metrics, analyzing performance across Sales, Marketing, Customer Success, Product, and Finance, diagnosing root causes, and delivering executive recommendations. Partner with data engineering and operations teams to integrate Salesforce, product, support, marketing, billing, and financial data. Evaluate AI-powered analytics capabilities and improve self-service decision-making.

Leads EWB-USA’s organization-wide impact, PMEL, and Theory of Change strategy. Builds results frameworks, indicators, data systems, evaluation plans, and learning agendas; supports partner capacity and evidence-based program design. Develops donor-ready concept notes, MEL plans, reports, impact briefs, and research products. Advises leadership, facilitates cross-program learning, collaborates with international partners, and strengthens the organization’s external credibility through evidence and sector engagement.

Leads the Digital and Marketing data, measurement, governance, reporting, and analytics strategy. Owns KPI definitions, data quality, measurement standards, and platform enablement while translating customer and marketing insights into strategic recommendations. Partners cross-functionally with Marketing, Digital, Technology, Finance, Data Science, and Loyalty teams. Builds scalable operating models, advances experimentation and AI-enabled analytics, and leads and develops a high-performing analytics organization.

Build and operate a Kubernetes-based data platform spanning lakehouse storage, ingestion, transformation, entity resolution, lineage, and data quality. Develop batch and streaming pipelines across heterogeneous and disconnected environments, create full-stack tools for subject matter experts, and expose documented APIs for applications and AI agents. Collaborate with product, AI/ML, infrastructure, mission partners, and field teams while mentoring engineers and supporting secure, air-gapped deployments.