Top Data & Analytics Jobs

Analyze and integrate federal grants management data from multiple sources; maintain databases and systems; develop reports, dashboards, presentations, and visual data stories; conduct testing, validation, quality control, and process improvement; support grant administration, training, documentation, and stakeholder coordination for the Office of Head Start.

Analyze and integrate grants-management data from multiple sources; maintain databases and systems; create reports, presentations, dashboards, and visual data stories; test and improve workflows; support data validation, reporting, training, and federal Head Start grant activities. The role serves as a liaison between functional and technical teams and requires onsite work, Public Trust clearance, and 10% local and regional travel.

Own the Palantir Foundry platform from a finance perspective, developing data pipelines, integrations, ontologies, applications, and interactive dashboards. Troubleshoot data and system issues, document reverse ETL flows and technical specifications, and improve business processes through automation. The role requires experience with data visualization, Databricks or similar platforms, PySpark, TypeScript, NetSuite integrations, and data analysis.

Develop and maintain data pipelines, transformations, analytical workflows, dashboards, and user-facing applications using Palantir Foundry and related technologies. Analyze, clean, integrate, and validate data; develop queries and scripts; support data modeling, testing, documentation, and deployment. Collaborate with stakeholders and technical teams to translate requirements into practical solutions, troubleshoot data issues, and apply user-centered UX/UI principles. Minimum qualifications include two or more years of relevant technical experience and proficiency in Python, SQL, and JavaScript or TypeScript.

Support CHAMPPS research by extracting and validating clinical data from Epic, building and maintaining REDCap/Qualtrics/Atlas.ti databases, performing data quality checks, generating reports and visualizations, assisting with IRB/grant documentation and project coordination, and maintaining confidentiality while collaborating with multi-site stakeholders.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Partner with Product, Engineering, and Design to own product analytics: define success metrics, build data models and dashboards, validate launches, monitor products, run deep-dive analyses, design experimentation, audit tracking across web and mobile, and develop AI-enabled analytics workflows to surface insights and measure product performance.

Leads integration of healthcare payer feeds and internal enterprise data into WellBe’s data platforms. Responsibilities include data mapping, transformation, validation, normalization, quality monitoring, governance, metadata and lineage management, requirements gathering, and supporting ingestion pipeline delivery. The role partners with engineering and analytics teams, serves as a subject matter expert, and ensures reliable data for value-based care, reporting, and operational use cases.

Support senior leaders by preparing tasking packages and staffing materials, provide risk mitigation, COAs, and ROI-based decision modeling to support Air Force missions and operational plans.

Embed with the Asia Commodities desk to own vendor data feeds, build scalable data pipelines and dashboards, transform market and supply/demand data into analytical constructs, support research-to-production workflows, and collaborate with investors and platform teams to enable systematic commodities strategies and trading decisions.

Partner with Product and Engineering to define metrics, run root-cause analyses and experiments, build tracking, reporting, and automated alerts, model data in dbt/BigQuery, scale AI-assisted analytics for self-serve, and communicate insights to drive product and business decisions.

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.

Supports investment management data systems by improving data integrity, reporting, process automation, and operational efficiency. Processes and quality-controls portfolio data, troubleshoots systems, builds actionable reports, and assists with portfolio analysis, cash-flow projections, and financial modeling. Partners with investment, sales, client relations, and business teams while responding to data and reporting inquiries. The role also leverages AI tools to improve data access, workflow efficiency, and decision-making.

Designs, develops, and maintains BI data models, reports, dashboards and visualizations. Extracts and transforms ERP transactional data, coordinates QVD file creation, meets stakeholders to gather requirements, and implements best practices for data accuracy, security, and self-service analytics. Uses SQL, BI tools, Python or Excel/VBA to drive business insights and operational efficiencies.

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.

Provides user-facing data and technical support by troubleshooting system and data issues, investigating anomalies with SQL and Python, validating reports and dashboards, and coordinating resolutions with BI, engineering, product, and operations teams. Builds support dashboards and reports, maintains data definitions and governance documentation, participates in UAT and QA, performs post-incident reviews, and develops support playbooks. Communicates technical findings to non-technical stakeholders and uses AI-assisted analytics to improve investigations and business insights.

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.

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.

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.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.

As a Data Analyst II, you'll enhance reporting capabilities and collaborate on data insights across teams, utilizing visualization tools and Python for automation.

Design, build, and maintain workforce data models and pipelines from HCM/payroll and other systems to produce governed, analytics-ready datasets, dashboards, and automated reporting using Microsoft technologies. Ensure data quality, lineage, security, and collaborate with HR, IT, Finance on integrations, HCM implementations, and analytics expansion.

Own portfolio monitoring and forecasting across card and loan products. Build executive dashboards and forecasting frameworks, perform RCA and remediation, support loss forecasting and provisioning, and collaborate with Risk, Finance, Capital Management, Engineering, and Accounting to inform strategy and lender negotiations.