Top Data & Analytics Jobs

Join Oliver Wyman's Data & Analytics team to design and implement analytics and ML solutions, build prototypes, communicate results to clients, and support projects across industries including finance, energy, retail, and transportation.

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.

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.

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 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.

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.

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.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Lead strategy and delivery of enterprise streaming and social data products that serve as authoritative sources of truth. Ensure AI-ready, governed, semantically consistent data with metadata, lineage, observability, SLAs, and adoption plans. Partner with analytics, engineering, and commercial teams to define metrics, manage external data sources, enforce data contracts, and drive AI and predictive use cases for music consumption and audience insights.

Design, build, and maintain ETL/data pipelines and data models using Databricks and cloud platforms. Support BI (Power BI) reporting and ML workflows, apply SQL and analytical skills to enable data-driven insights.

Summer internship performing data analysis, research, predictive modeling support, and reporting to generate business and risk-management insights. Communicate findings with visualizations, conduct market/peer research, and support financial, regulatory, and business intelligence needs across analytics teams including model risk, fraud, and portfolio management.

Lead analytics partner to Community Support, driving data-driven roadmaps, scalable reporting and measurement, causal inference and experimentation, and improvements to agent/guest/host experiences via analytics, modeling, and stakeholder influence.

Join a collaborative team to develop AI-driven equity trading signals using machine learning techniques on proprietary datasets.

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

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.