Top Data & Analytics Jobs

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.

Collects, analyzes, reconciles, and organizes information from multiple sources for DEA asset forfeiture casework. Responsibilities include accurate data entry, maintaining physical and electronic case files, tracking deadlines, coordinating information requests, preparing reports and summaries, processing case documents, and providing status updates. The role requires strong attention to detail, organization, communication, Microsoft Office proficiency, U.S. citizenship, and completion of a seven- or ten-year background investigation.

Analyzes scorecard, quality, and operational data to identify performance trends, errors, and improvement opportunities. Develops reports, dashboards, scorecards, and visualizations using Power BI and related tools. Translates findings into actionable recommendations, supports training and performance-improvement initiatives, maintains analytical documentation, and communicates insights to technical and non-technical stakeholders.

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.

Collects, cleans, analyzes, and validates manufacturing data from Plex, ERP, MES, sensor, inventory, and logistics systems. Builds predictive, operational, financial, reporting, and forecasting models; develops dashboards and automated reports tracking KPIs such as yield, OEE, scrap, inventory, and shipments. Performs root cause and variance analysis, supports process improvement and budgeting decisions, maintains data pipelines, ensures inventory and COGS accuracy, and trains manufacturing personnel on data practices and dashboards.

Maintains the accuracy of HotStats’ hotel benchmarking database by reviewing P&L data, performing integrity checks, resolving data queries, integrating financial data, and quality-checking monthly reports. The role analyzes large datasets, supports research and publications, documents hotel operational updates, and communicates with contributing hotel companies and internal teams.

Analyzes program data using statistical techniques, develops data collection systems, maintains databases, identifies trends and performance indicators, cleans reports, investigates data or code issues, and collaborates with program managers, evaluators, and quality assurance teams.

Analyzes and visualizes Tech Refresh data for an Intelligence Community customer. Responsibilities include assessing data quality, identifying trends and patterns, preparing stakeholder reports, recommending automation and process improvements, supporting data governance, and collaborating with engineers, programmers, and management on system modifications and operational decisions.

Analyzes operational data to identify trends, risks, bottlenecks, and improvement opportunities. Builds and maintains Power BI dashboards, scorecards, and scalable reporting solutions covering performance, efficiency, quality, service levels, and capacity. Partners with Operations, Process Improvement, and Technology teams to improve data quality and usability, establish reporting governance, and provide executive-ready insights and recommendations that support operational decision-making.

Support SAP BRIM data analysis, migration, and development across SOM, Convergent Charging, Convergent Invoicing, and FI-CA. Design SAP BODS ETL workflows, configure EMIGALL migration objects, develop mappings and reconciliation reports, validate migrated data, troubleshoot issues, and support testing, cutover, production stabilization, documentation, governance, and stakeholder collaboration.

Develop and support analytical systems for operational decision-making, identify KPIs with business process owners, analyze data lifecycles, define data warehouse and ETL requirements, validate data engineering results, build dashboards, and present insights to customers. The role requires at least one year of data or BI analyst experience, strong SQL and data visualization skills, analytical communication abilities, and fluency in Russian and English.

Analyze large and complex datasets using SQL, Python, Spark, Spark SQL, and PySpark in Microsoft Azure environments. Responsibilities include data transformation, validation, profiling, reconciliation, quality analysis, root-cause investigation, scalable data process improvement, documentation, and communicating findings to technical and business stakeholders.

Analyzes suspicious activity and complex fraud cases for banking, financial, and e-commerce clients. Builds and adjusts real-time fraud detection rules, performs root-cause and statistical analysis, and advises customers on technical implementations using ThreatMetrix and related solutions. Presents findings to technical and non-technical stakeholders, supports proof-of-concept analyses, and maintains relationships with fraud managers, risk analysts, developers, and project managers.

Develop and maintain analytics solutions, dashboards, recurring reports, and ad hoc analyses for business stakeholders. Ensure data quality through validation and robust processes, document data sources and transformations, and translate stakeholder needs into data specifications. The role requires advanced SQL, dbt, Tableau, data modeling, and data quality skills, along with strong analytical, communication, and documentation abilities. This is an onsite position four days per week.

Support the US Attorney's Office Financial Litigation Unit by extracting case information from LIONS, PACER, and sentencing documents; create case folders and initial legal correspondence; generate and secure investigative reports (Lexis-Nexis, credit, BOP Sentry); coordinate with prosecutors, investigators, probation officers and court clerks to enforce restitution judgments.

Collects, analyzes, reconciles, and organizes information from multiple sources for DEA asset forfeiture casework. Enters and maintains data in databases, documents, and spreadsheets; manages physical case files and deadlines; coordinates information requests; prepares accurate reports, summaries, and responses; performs case-related word processing; and provides timely status updates.

Analyze Military Health System healthcare and operational data for Defense Health Agency decision-making. Build and maintain Power BI or Tableau dashboards, perform data validation and quality checks, fulfill recurring and ad-hoc reporting requests, and communicate insights to technical and non-technical stakeholders. The role also documents analytical processes, supports client meetings, and contributes to reporting and visualization improvements.

Collects, cleans, analyzes, and validates manufacturing data from Plex, ERP, MES, sensor, and inventory systems. Builds predictive models, automated reports, and KPI dashboards covering yield, OEE, scrap, inventory, production, and financial performance. Performs root-cause, variance, forecasting, and ROI analyses to improve efficiency and reduce costs. Maintains data pipelines, supports operational and financial planning, ensures accurate inventory and COGS reporting, and trains production personnel on data collection and dashboard usage.

Collects, cleans, validates, and analyzes manufacturing data from Plex, ERP, MES, sensor, and inventory systems. Builds predictive models, automated reports, and dashboards tracking KPIs such as yield, OEE, scrap, inventory, and shipments. Performs root-cause, variance, financial, forecasting, and ROI analyses to improve production efficiency, scheduling, inventory, and costs. Maintains data pipelines, supports financial reconciliation, writes work instructions, and trains manufacturing personnel on data collection and dashboard use. May work second or third shift in a manufacturing environment.

The role involves operating and improving AI-driven data quality pipelines, managing offshore teams, and ensuring data accuracy and reliability. Responsibilities include monitoring pipeline performance, refining rules, and collaborating across teams to enhance data operations.

The Lead GTM Data Operations Analyst will operate and extend AI-driven data quality pipelines, optimize agent outputs, and monitor offshore resolution teams, ultimately improving data accuracy and management in a dynamic, evolving environment.

The role involves managing and improving data quality pipelines for GTM systems, optimizing AI workflows, and overseeing offshore teams to ensure accurate data detection and resolution.

Analyze and transform data from multiple sources to generate actionable insights for institutional decision-making. Responsibilities include gathering analytics requirements, building Tableau and Power BI dashboards, collaborating on ETL/ELT and data quality initiatives, resolving data issues, developing forecasts and KPIs, and presenting findings to technical and non-technical stakeholders.

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.