Top Data & Analytics Jobs

Build and operate Pivotal’s flight data warehouse and telemetry pipelines using AWS Glue, Athena, SQL, and Python. Design curated data marts, fleet health alerting services, data quality gates, dashboards, and query interfaces. Own data infrastructure, deployment, monitoring, and schema evolution end to end while collaborating with firmware, GNC, battery, flight operations, systems engineering, and MRO teams on telemetry and airworthiness decisions.

Manage and analyze Air Force Civil Engineering GIS data in enterprise geodatabases. Perform QA/QC, cartography, geospatial conversions, metadata management, data migration, geocoding, and geoprocessing services. Maintain ArcGIS Portal and Story Maps, dashboards, documentation, and knowledge bases. Support GeoBase stakeholders through requirements gathering, technical assistance, training, data submissions, emergency mapping, and process improvement using Agile practices.

Project-based intern supporting data analysis and process improvement for procurement and construction workflows. Responsibilities include cleaning and analyzing data with Python and spreadsheets, building dashboards and process tools, gathering stakeholder feedback, testing workflows with field and vendor teams, and presenting completed projects. Example initiatives include procurement cost analysis and redesigning mobile-friendly construction punch-list processes.

Analyze operational data, build and maintain reporting models, KPIs, dashboards and scorecards. Provide actionable insights to improve network performance and customer experience. Prepare presentations for leadership, collaborate with cross-functional teams, and recommend operational efficiency improvements while maintaining BI best practices and continuing education.

Leads analytics for B2B sales, partnerships, revenue operations, and marketing teams. Responsibilities include forecasting, opportunity sizing, partner performance analysis, enterprise market intelligence, RFP analytics, lead scoring, funnel and lifecycle optimization, predictive modeling, experimentation, and executive insight generation. The role partners with Data Science and Engineering teams to improve revenue growth, onboarding, retention, campaign effectiveness, and sales performance across enterprise and SMB channels.

Supports reporting, data analysis, dashboard development, data collection, quality assurance, and data warehousing initiatives. Cleans and analyzes data, generates actionable insights, communicates findings to nontechnical stakeholders, responds to data requests, and partners with KIPP program teams. The role also contributes to network events, team operations, and equity-focused culture development.

The Database Administrator III role requires U.S. citizenship and completion of all work within the continental United States, Alaska, or Hawaii. The provided description does not specify database administration responsibilities, tools, or technical qualifications. Compensation is $120,000 to $150,000 annually.

Analyze marketing and digital marketing performance across social, web, app, and email channels. Develop segmentation, attribution, funnel, conversion, retention, KPI, dashboard, and competitive analyses. Design A/B and multivariate experiments, identify data issues, and translate statistical findings into actionable recommendations for stakeholders and senior leaders. Collaborate with technical teams to improve data reliability and support consumer acquisition, retention, and product performance.

Performs accurate data entry for the Family Homeless Prevention and Assistance Program in SIMS and HMIS. Verifies records, responds to data inquiries, manages source documents, supports database integrity, and coordinates with help desks to resolve inconsistencies or missing information. This temporary, part-time position requires confidentiality, computer literacy, typing accuracy, independent work, occasional local travel, and in-person attendance.

Own contact center KPI analysis covering volume, handle time, adherence, occupancy, and service level. Build Tableau or Power BI dashboards, identify trends and root causes, and provide actionable recommendations to operational leaders. Manage multiple analytical projects, prioritize changing requests, influence stakeholders without direct authority, and communicate findings through data storytelling. Use AI tools responsibly to accelerate analysis while maintaining data quality, compliance, and human judgment.