Top Data & Analytics Jobs

Collect, clean, validate, and analyze data from multiple sources; build dashboards and visualizations in Power BI; develop Power Apps and automate workflows with Power Automate; partner with stakeholders to define metrics, monitor data quality, and document processes to support decision-making.

Maintain and improve subsurface datasets and geoscience project environments; develop repeatable workflows, QA/QC standards, dashboards, and AI/ML-enabled tools; integrate subsurface, production, and commercial data to support geoscience teams and technical decision-making.

Support NAVFAC program tracking and performance analysis by developing KPI and financial metrics, dashboards (Power BI, Excel), schedule and budget tracking, project status reporting, and briefing materials. Coordinate with project teams to deliver data-driven recommendations for government stakeholders.

The Senior Data Analyst will own data models and drive analytical initiatives, ensuring data quality and reliability while providing insights to stakeholders. Responsibilities include managing dashboards and supporting the team with analytics.

The Data Analyst will collect, organize, and analyze data from various systems, ensuring data quality and supporting cloud solutions.

Design, develop, and maintain dashboards and reports; analyze complex datasets to identify trends and opportunities; write and optimize SQL queries; ensure data quality and validation; partner with stakeholders to translate business needs into analytics solutions and communicate insights to technical and non-technical audiences.

Perform analysis and build scalable data models, dashboards, and self-serve tooling to inform product, engineering, and leadership decisions. Implement ETL, maintain BI platforms, and deliver data products and visualizations for internal teams and clients to improve operational efficiency and business strategy.

Drive data-informed decisions through operational reporting, dashboarding, and performance analysis. Split focus on data quality and business reporting, run SQL/Python analyses, build dashboards, produce recurring and ad-hoc reports, and partner with cross-functional GTM and customer teams to surface insights that improve product usage and outcomes.

Design, build, and maintain production-grade data pipelines and financial data products for Treasury Finance. Translate business requirements into scalable ETL/ELT workflows, enforce data quality SLAs, implement monitoring and alerting, enable self-service analytics, and deliver actionable insights through rigorous analysis and data storytelling.

Design, build, and maintain Power BI semantic models, reports, and dashboards; migrate Qlik Sense to Power BI; perform pricing and margin analytics; extract and model ERP and transactional data; support governance, data quality, and stakeholder decision-making.

Collect, analyze, and report traffic operations data to measure program and individual performance. Prepare routine and ad-hoc performance reports, develop data collection methods, maintain databases and operator certification, present findings to stakeholders, research best practices, and occasionally fill Control Room Operator shifts.

Support product managers and tech leads by defining backtesting and validation plans, performing data analysis and validation for client deployments, improving data flows and operations, and conducting financial securities research and modeling (regression, simulations, portfolio risk analytics).

Manage and ensure integrity of safety data across systems; implement data governance, ETL, and validation; analyze trends and KPIs; build dashboards and reports; support incident investigations, audits, and cross-functional stakeholders to drive risk-reduction and performance improvement.

The Forward Deployed Data Analyst will optimize SQL queries, troubleshoot analytics pipelines, and collaborate with customers to enhance their data systems. Responsibilities include diagnosing issues, proposing structural improvements, and coordinating with engineering teams.

Support federal clients by analyzing data, building dashboards and reports in Tableau/Power BI, performing cost and strategic modeling, aiding POM and ICE processes, improving business processes, managing records and compliance, and producing training and program analytics.

Analyze, integrate, clean, and model operational and technical data to produce dashboards, reports, and forecasts. Identify trends, lifecycle/status, risks, and noncompliant assets; support automation, data quality improvements, and decision-making across engineering and operations teams.

Manage end-to-end funding transaction data workflows, validate PR/PO integrity, monitor burn rates and ULOs, track contract lifecycles, build automated Power BI/Tableau dashboards, perform ad-hoc forecasts and analyses, prepare leadership briefings, and ensure data governance and compliance for Directorate financial operations.

Perform contract and funding oversight for assigned groups: prepare and validate funding documents, review purchase requests, track obligations and burn rates, manage contract modifications, analyze data and build reports/dashboards, support dispute briefings, coordinate with finance/contracting/program teams, and author SOPs to improve acquisition and funding processes.

Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.

Deliver analyses, dashboards, and reports using AWS, Snowflake, dbt, and BI tools. Support data modeling, validation, KPI development, ad hoc requests, and collaborate with data engineers and scientists to drive business decisions.

Lead and drive data strategy and analytics initiatives; design data models and simulations; perform advanced statistical analysis; lead cross-functional teams; mentor junior analysts; improve data collection and analysis processes; and present findings to executive leadership.

Client-facing data analyst who analyzes structured and unstructured data, builds and maintains scalable analytics platforms, creates visualizations, validates and cleans data, identifies trends, and advises clients. Works in Agile teams with analysts, engineers, and developers to translate data into actionable insights that impact missions.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Analyze C&DS project data to produce reports, visualizations, and predictive/prescriptive models. Build data pipelines and models, mine complex datasets, support data governance, collaborate with IT and stakeholders, respond to ad-hoc requests, and improve business processes using BI tools and statistical methods.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.