Top Data & Analytics Jobs

Develop and maintain labor market taxonomies and classifications; analyze large unstructured datasets to identify patterns; integrate taxonomies with data models; support data governance, migration, and cross-functional projects; monitor taxonomy best practices and contribute to data quality and consistency.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Lead data quality and analytics for VA EHRM deployments by building and validating pipelines, applying SQL/R/Python and NLP/ML, defining governance rules in Purview/Collibra, certifying dashboards (Tableau/Power BI), and delivering actionable visualizations and insights to executive stakeholders.

Perform data analysis, design and maintain data models, dashboards, and analytical solutions. Analyze large datasets to surface trends and issues, troubleshoot data discrepancies, produce reports, and document data processes. Collaborate with application, database, and business teams, mentor junior staff, and evaluate modern data tools and automation to support mission-critical decision-making.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.

Perform quantitative analyses (optimization, simulation) to support insurance and pension clients on asset allocation, ALM, portfolio construction, hedging, and analytics. Develop and improve production engines, custom analytical tools, and automated solutions. Interface with client service, portfolio management, and risk teams and vendor systems to deliver, explain, and operationalize bespoke client solutions.

Lead complex analytical projects end-to-end; design scalable dashboards, data models, KPI frameworks; perform advanced analyses to inform decisions; partner with Finance, Technology, and Data Engineering; improve processes and data quality; mentor junior analysts; communicate insights to business leaders and identify automation and efficiency opportunities.

TigerGraph seeks individuals to promote their scalable graph database technology used for analytics and machine learning across various industries.

The Data Scientist/Manager will analyze data, develop models, support organizational missions, and provide insights to enhance decision-making for the USDA.

The Director leads global HR analytics, driving innovation and delivering data-driven strategies to enhance colleague experiences, operational excellence, and decision-making through advanced analytics and automation.

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

Lead a team in delivering data-driven insights for underwriting and risk selection, managing projects and fostering relationships across business units.

The Senior Manager of Sales Insights and Analytics leads the transformation of data into actionable insights, enhancing sales performance through strategic analytics and stakeholder collaboration.

Build and maintain people analytics dashboards, automate data pipelines, integrate HR data sources, and deliver actionable workforce insights using Power BI, Snowflake, Python, APIs, and AI/ML techniques to support HR and business leaders.

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, 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.

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.

Seeking experienced Equity Research professionals to improve generative AI tools for financial analysis, focusing on producing, evaluating, and refining equity research outputs.

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.