Top Data & Analytics Jobs

Provide analytical support for COMNAVSURFLANT FGEN by analyzing readiness and operational data across PESTONI pillars, developing visualizations, risk assessments, predictive models and ML solutions, managing databases, and producing executive-level reports and recommendations for senior leadership.

Lead design, integration, and governance of secure data systems for a government UAS/C-UAS program. Build data pipelines, architectures, and analytics environments to fuse sensor, telemetry, and intelligence data. Enable real-time analytics and model operationalization, enforce data governance and security, support field operations and interagency integration, and guide data strategy.

The Quantitative Analyst will develop stock selection models, enhance research infrastructure, conduct statistical analysis, and collaborate with investment teams to provide insights.

Lead North America marketing analytics product portfolio, evolve MMM to causal and AI-native methods, prioritize roadmap and epics, oversee data engineers and scientists, drive adoption and value measurement for marketing effectiveness.

Perform pricing analysis and execution: build and maintain pricing models, analyze customer and market data, support bids, identify trends and data issues, propose pricing solutions, and collaborate with Sales and Operations to improve pricing tools and processes.

Design and manage enterprise data architecture and strategy; create conceptual, logical, and physical data models; integrate systems; implement security and governance; plan and execute large-scale data solutions; manage data lifecycle and platform selection; collaborate cross-functionally.

Licensed MD applies clinical expertise to extract, model, validate, and maintain clinical relationships for a healthcare knowledge graph. Works with data scientists and SMEs to build training datasets, support CDS product development, ensure clinical accuracy, and provide analytics and evidence-based insights to improve search, discovery, and point-of-care workflows.

Manage and secure enterprise data systems, govern statewide Power BI and AI readiness, maintain ETL/data integration, ensure data quality and compliance, support cloud migration, provide reporting and user support, and collaborate across agencies to enable data-driven decision-making.

Lead client-facing Data & Analytics engagements across pre-sales, architecture, and delivery. Define strategy, roadmaps, solution designs, and SOWs for modern data platforms, pipelines, governance, analytics, and AI enablement. Drive practice development, create reusable IP, mentor teams, and ensure quality delivery and strong business outcomes.

Apply statistical and analytical methods to identify revenue opportunities, build predictive and explanatory models, design and evaluate experiments, analyze and integrate data sources, and translate findings into actionable recommendations for cross-functional stakeholders across hotel, F&B, pool, spa, and gaming operations.

Analyze complex credit card portfolio data to identify trends, build statistical and machine learning models, define KPIs, and deliver actionable insights to leadership. Use cloud data tools, mentor junior analysts, develop business cases and presentations, and support hiring and performance management.

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.

Administer and secure DCIM database systems (Nlyte Neo), collect/ingest and clean data center equipment/cabling data, build scripts, complex views, reports and Power BI dashboards to visualize power/space/cooling/cabinet utilization, tune performance, document designs and processes, assist software releases, design cloud data solutions, and support enterprise data center portfolio management for mission-critical operations.

Lead design and implementation of Power Platform solutions to modernize legacy civil engineering and logistics applications. Integrate and redesign workflows, support application and database modernization, build dashboards and automated workflows, implement automation and machine learning, and provide mission-critical sustainment support for capital project prioritization and supplemental appropriation programs. Onsite at Washington, D.C.

Lead and execute data analytics for internal audit engagements: design and run ETL/data pipelines, apply ML and scripting for analytics, drive AI adoption in audits, support walkthroughs, document tests, and help report substantive findings.

Design, develop, and maintain ETL pipelines, databases, and data visualizations to support 300mm semiconductor manufacturing. Analyze operational performance, automate data extraction, troubleshoot systems, collaborate with stakeholders, and integrate emerging technologies to improve manufacturing efficiency.

The Data Scientist will support US Sales Operations by analyzing data to uncover insights, build predictive models, and develop interactive dashboards to enhance performance and optimization opportunities.

Lead design, implementation, and scaling of enterprise Palantir data solutions. Oversee cross-functional teams to build data pipelines, integrations, governance, and advanced analytics (ML/AI). Manage project delivery, stakeholder engagement, performance optimization, and mentor senior engineers and analysts while ensuring security and regulatory compliance.

The Machine Learning Educator will develop and teach ML programs, mentor teachers, and write code to enhance learning at Jane Street.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

Lead a team of analysts to advance fraud and safety operations through analytics, ensuring robust data products and compliance while empowering stakeholders with actionable insights.

Quantitative Researchers at Xantium analyze financial datasets, develop quantitative trading models, and support trading operations. They collaborate with senior staff and enhance their research skills, primarily in mathematics and statistics.

Lead GIS efforts supporting property valuation: manage imagery/LiDAR processing, geodatabases, automate workflows with machine learning, supervise a GIS developer, build dashboards/maps, conduct spatial analyses and valuation data reporting.

Design and deliver marketing analytics solutions: build data pipelines, dashboards, and predictive models; perform attribution, MMM, A/B and incrementality analyses; prepare and integrate structured/unstructured data; communicate insights, train users, and support stakeholder decision-making.

Design, implement, and test cloud-based ETL/data pipelines and datasets to support analytics and data science workloads. Collaborate with data scientists and analysts, translate business requirements into technical solutions, and follow data engineering best practices.