Top Data & Analytics Jobs

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 data architecture and database operations for ACWS. Develop and maintain data pipelines, mappings, integrations, and reporting feeds; support migration, transformation, validation, reconciliation, and data quality management. Coordinate requirements across BI, application, architecture, and database teams. Document data flows and transformation logic, and recommend improvements to reliability, automation, analytics readiness, and governance.

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.

Support client-facing targeting and measurement consultations, coordinate end-to-end research projects, manage data-provider onboarding and offboarding, respond to sales data needs, and deliver campaign analysis and insights. The role advises on targeting strategies, optimizes campaigns, supports RFPs and client reviews, collaborates across teams, and translates technical data concepts into actionable marketing recommendations.

Design, develop, and maintain Customer Data Platform solutions and data pipelines to create unified customer profiles, manage identity resolution, enable audience segmentation and activation, ensure data quality and governance, and support integrations with marketing, CRM, and cloud data systems.

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.

Leads statistical consulting, experimental design, data analysis, and machine learning modeling for product development, quality, nutrition, consumer research, and scientific initiatives. Translates complex analyses into actionable business insights, builds cloud-based analytics solutions using Python and R, and mentors statisticians globally. Collaborates with R&D teams and stakeholders to solve technical and business problems using statistical methods, modeling, and data pipelines.