Top Data & Analytics Jobs

The Data Analyst will conduct data analysis, create visualizations, and collaborate with teams to derive actionable insights for DOW's contract, ensuring data integrity and security.

The Data Analyst collects, organizes, and analyzes data, supporting data quality and customer-focused service, while managing workflows and documentation.

Lead end-to-end analytics: own KPIs and dashboards, define measurement with stakeholders, build scalable pipelines with Data Engineering, run deep-dive analyses, close reporting gaps, and advocate best practices in visualization, documentation, and metric consistency to inform business strategy.

Design, build, and maintain data solutions to support enterprise risk decisions. Partner with business stakeholders to create dashboards and analyses, apply scripting for data processing, ensure data quality, lineage, and governance, and collaborate with tech teams on security and access.

Build predictive data pipelines, machine learning models, dashboards, and automated decision tools for portfolio strategy. Analyze product performance, costs, monetization, competitive intelligence, customer behavior, and feature opportunities. Govern metrics and data quality using SQL while enabling self-service AI and natural-language data access. Support roadmap prioritization, ROI assessment, initiative tracking, and executive decision-making through advanced analytics and financial modeling.

Full-time summer data analyst intern supporting projects that distill complex data into business insights and improve client and investment outcomes. The intern will collaborate across business lines, communicate findings, work independently and in teams, and receive coaching, mentorship, and networking opportunities.

Develop and maintain Palantir Foundry data pipelines, transformations, analytical workflows, dashboards, and user-facing applications. Analyze and validate data from multiple sources, translate stakeholder requirements into solutions, troubleshoot issues, and support data modeling, testing, documentation, and deployment. Apply Python, SQL, JavaScript or TypeScript, ETL/ELT, cloud, low-code, and UX/UI practices while collaborating with technical teams and government clients.

The Data Analyst gathers, validates, and analyzes data from multiple sources to identify trends, evaluate KPIs, and generate actionable insights. They develop and maintain reports, dashboards, visualizations, and business intelligence solutions using tools such as Power BI. The role also involves partnering with stakeholders, translating business needs into analytical requirements, presenting findings to technical and non-technical audiences, documenting work, and improving reporting and analytical processes.

Performs data quality checks, anomaly detection, analysis, reporting, and metric development for FDNY. Builds interactive dashboards using Tableau, Dash, and Streamlit; fulfills ad hoc data requests; supports Mayor’s Management Report metrics and NYC Open Data datasets. Participates in community outreach, responds to public inquiries, represents FDNY at Open Data events, and gathers community feedback.

Develops custom reports, dashboards, forecast models, presentations, and visualizations for corporate immigration clients and legal teams. Gathers business requirements, analyzes data quality, verifies reports, identifies process bottlenecks, and recommends solutions. Provides reporting support for immigration petitions and applications, translates business messaging into data-driven insights, and coordinates reporting requests. Requires expertise in Excel, data visualization, business analysis, corporate immigration, and strong communication and organizational skills.

Owner of multiple third-party and in-house applications; leads data warehouse operations, translates business requirements into technical designs, develops and tests solutions, troubleshoots issues, evaluates products, mentors junior staff, and collaborates with vendors across project lifecycles.

Work independently on healthcare analytics projects, manage client relationships, perform statistical analysis and predictive modeling, build BI reports and visualizations using R, SAS, SPSS, Cognos, and Business Objects. Report to the Senior Consultant.

Perform independent healthcare analytics projects for clients: use statistical tools, predictive modeling, BI/reporting and data visualization. Build reports and insights using R, SAS, SPSS, Cognos, and Business Objects, and collaborate with the Senior Consultant to maintain client relationships.

Work independently as a healthcare analytics consultant on client projects, building strong client relationships. Use statistical tools and predictive modeling to produce business reporting and BI deliverables, perform advanced statistical analysis, create data visualizations, and operate tools such as R, SAS, SPSS, Cognos, and Business Objects. Report to the Senior Consultant.

Perform independent healthcare analytics projects and maintain client relationships. Use statistical tools and predictive modeling to produce business intelligence reports and visualizations. Work with R, SAS, SPSS, Cognos, and Business Objects and report to the Senior Consultant.

Work independently as a healthcare analytics consultant delivering statistical analysis, predictive modeling, BI reporting, and data visualization for clients. Use R, SAS, SPSS, Cognos, and Business Objects to build insights and reports. Report to the Senior Consultant and maintain strong client relationships.

Perform independent healthcare analytics projects for clients using statistical tools, predictive modeling, BI reporting, and data visualization. Build reports and analyses with R/SAS/SPSS and BI tools (Cognos, Business Objects). Maintain client relationships and report to a Senior Consultant.

Support and maintain geospatial data holdings, enforce data standards, build ETL and preprocessing automation, perform statistical analysis, create visualizations and lightweight tools, manage data dictionaries, ingest and curate non-standard imagery, and provide analytics to inform ML model development and mission requirements.

Lead data quality and analytics for VA EHRM deployments by building and validating pipelines, applying SQL/R/Python and NLP/ML, defining governance rules in Purview/Collibra, certifying dashboards (Tableau/Power BI), and delivering actionable visualizations and insights to executive stakeholders.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Analyze structured user and business data to identify trends, patterns, anomalies, and behavioral insights. Build and maintain dashboards, perform segmentation and cohort analysis, audit data quality, and produce clear reports for internal and client stakeholders. The role requires translating technical findings into actionable business strategies while collaborating with technical and non-technical teams.

Supports the enterprise data governance program by monitoring data quality, managing issues, maintaining data catalogs and metadata, documenting data lineage, and collaborating with data owners and stewards. The role also supports regulatory audits, risk assessments, governance controls, and cross-functional data modernization initiatives. Responsibilities include applying automation and AI-assisted tools to improve governance workflows, data discovery, analytics, and compliance.

Analyzes customer, marketplace, product, financial, merchant, and transaction data to identify trends, risks, and growth opportunities. Builds analytical frameworks for new products, markets, and strategic initiatives; validates data sources and metrics; investigates anomalies; and develops actionable recommendations. Communicates insights through dashboards, presentations, and concise storytelling to senior executives, cross-functional leaders, and the Board. Partners with Product, Engineering, and Data teams to improve decision-making and uses emerging AI tools to accelerate analysis.

Leads grants-management data analysis, reporting, database administration, testing, and visualization for an Office of Head Start client. Integrates multiple data sources, develops dashboards and reports, translates findings into visual stories, supports grant tracking and quality control, trains colleagues and grantees, and coordinates functional and technical teams. The role also supports grant-system administration, application screening, funding activities, correspondence, closeout, and process improvements.

Analyze and integrate grants management data from multiple sources; maintain databases and systems; develop reports, dashboards, presentations, and visual data stories; support data validation, testing, training, and process improvement. The role also supports pre- and post-award Head Start grants activities, including reporting, metrics quality control, application screening, funding slates, correspondence, and closeout functions.