Top Data & Analytics Jobs

Provide senior-level data engineering for analytics: resolve complex technical issues, build decision-support reports and dashboards, lead projects, prepare and integrate data, coach staff, and ensure high-quality analytics to support academic, research, and healthcare goals.

Designs and maintains healthcare analytics infrastructure, production data models, semantic layers, and transformation pipelines using advanced SQL and analytics engineering practices. Integrates payer claims, EMR, clinical, attribution, quality, and operational data. Performs ad hoc analysis, defines standardized healthcare metrics, validates data quality, optimizes queries, documents data flows, and partners with clinical, operational, IT, and payer stakeholders to support value-based care and enterprise reporting.

Supports electronics hardware process improvement through data analysis, engineering tool development, process compliance, dashboards, KPIs, and reporting. The intern analyzes engineering processes and project data, develops visualizations, assists with tool configuration and testing, documents processes, creates training materials, and collaborates with engineering, process, and IT teams to improve efficiency and reporting.

Leads marketing, digital, loyalty, and consumer insights analytics teams; develops customer, campaign, loyalty, and marketplace insights; oversees research, experimentation, measurement, dashboards, and executive reporting. Partners with cross-functional leaders to influence strategy, improve customer acquisition and retention, and optimize investments. Manages analysts, research agencies, analytics vendors, and collaboration with data engineering, data science, and technology teams.

Leads data operations professionals supporting an overhead imagery processing program. Oversees the preprocessing pipeline from satellite data acquisition through ingestion and storage, manages technical projects and teams, maintains government customer relationships, and ensures complex data pipelines operate reliably at scale. Requires experience with quantitative analysis, ETL, SQL/NoSQL databases, geospatial datasets, cloud architectures, and active TS/SCI clearance.

Lead product experimentation and analytics across three product squads. Design experiments, define product metrics, analyze patient and clinician behavior, build dashboards, apply causal inference, and communicate actionable insights. Partner with product, engineering, design, clinical, operations, and data teams to improve instrumentation, data quality, and evidence-based healthcare product decisions.

Builds and maintains data pipelines, dashboards, databases, Linux infrastructure, and automated reporting tools supporting battery R&D and product testing. Responsibilities include managing laboratory data transfers and metadata, developing research and experiment tracking dashboards, integrating data solutions for battery system testing, supporting custom reporting, and collaborating with R&D teams on continual tool improvements.

Nine-week hybrid technical internship supporting data analytics, business intelligence, product management, software engineering, automation, and technology operations. Interns may develop and maintain reports, dashboards, data models, or product features; assist with automation and process improvement; perform data validation and analysis; document technical processes; collaborate with technical teams; and present project findings. Applicants must be enrolled college students, available for at least eight weeks, and able to work in the office at least three days per week.

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 social media measurement and analytics across paid and organic channels. Own KPI frameworks, ensure data integrity, manage dashboards and disparate data sources, and translate performance data into executive-level insights. Identify campaign trends and efficiency opportunities, recommend strategic pivots, and partner with creative, media, and strategy teams on forecasting, A/B testing, investment decisions, and stakeholder communications.