Top Data & Analytics Jobs

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.

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.

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.

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

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

Develop dashboards and BI solutions by building ETL pipelines, analytic models, and predictive analytics. Use Databricks, Spark, SQL, Python, and BI tools (Qlik/Tableau/Power BI) to turn data into actionable insights for defense customers; present findings to leadership and support junior staff.

Lead and build an end-to-end data testing and quality assurance function, driving data governance adoption, automation and AI-enabled testing, stakeholder alignment, metrics reporting, and remediation across divisions while managing a team in Dallas.

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 design and delivery of Snowflake-based data solutions, data models, ETL pipelines and data warehouse applications. Provide architecture direction, drive technology transformation and POCs, evangelize modern data architecture, collaborate with global stakeholders and Agile teams, and apply advanced analytics (ML/AI/GenAI) while ensuring data security and PII management.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

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.

Full-time, on-site Fall internship in Los Angeles for enrolled CS/CE students. Build data structures for finance KPIs, publish dashboards to automate reporting, review and enhance reporting systems, and apply ML and LLMs to drive automation and business insights.

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.

Lead residual value forecasting and strategy for U.S. and Canada, overseeing modeling, validation, product translation, and customer engagement to ensure accurate, explainable, and revenue-driving residual analytics.

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.

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.

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.

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.

The Analyst will consult for talent and manage projects within the UTA Creators Team, utilizing data science and machine learning to provide insights and solutions in the creator economy.

Inceptive seeks candidates for research in biological software, collaborating with a multidisciplinary team to design accessible medicines and biotechnologies.

Develop and execute quantitative models and analytical methods to assess credit risk for Single Family mortgage products (modification, short sale, foreclosure, distressed valuation). Independently design, implement, and validate predictive models, support business and risk decisions, perform data cleaning and processing, and collaborate with stakeholders to provide practical, innovative solutions.

Lead enterprise analytics and data product strategy, defining an AI-enabled data marketplace, semantic models, governed self-service analytics, and tooling roadmaps. Partner with business and tech teams to translate needs into data products, shape AI-enabled capabilities, ensure trust and governance, drive adoption, and measure business value and quality.

Design and execute statistically rigorous analyses to quantify and inform safety and risk for autonomous driving systems. Apply Bayesian and frequentist methods (and ML where appropriate) to large, noisy or rare-event datasets, produce production-ready monitoring workflows, and communicate findings to engineers, safety stakeholders, and executives to support risk-based decision making.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.