Top Data & Analytics Jobs

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.

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.

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.

Develops and optimizes pricing strategies using analytics, experimentation, forecasting, segmentation, elasticity analysis, and competitive research. Builds pricing models, dashboards, and decision-support tools; measures promotional and pricing impact; automates processes; and partners with cross-functional stakeholders to deliver revenue, profitability, and customer-value improvements.

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.

Supports client data integration by analyzing file structures, creating source-to-target mappings, configuring imports, validating transformations, troubleshooting ingestion failures, and supporting onboarding. The role performs testing, production support, documentation, and process improvement while collaborating with clients, QA, implementation managers, and ETL developers. It requires data mapping, ETL familiarity, SQL knowledge, and experience handling CSV, XML, and JSON files.