Top Data & Analytics Jobs

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

Lead the optimization of CRM data management, leveraging AI and analytics to enhance data integrity, automate workflows, and derive actionable insights.

As a Senior Statistical Methodology Data Scientist, you will lead innovative statistical approaches, provide guidance on study design, and support evidence-based decision-making in clinical development.

Lead supply chain analytics by building Power BI dashboards, analyzing large datasets to identify trends and improve forecasting and operations. Partner with stakeholders to enable AI, automation, and predictive analytics, mentor analysts, promote best practices, and drive continuous improvement across planning, manufacturing, logistics, and inventory functions.

As an Analytic Methodologist, you will lead analytics projects, develop and evaluate methodologies, and support the Department of Defense with your expertise in data science, knowledge graphs, and ontologies.

Lead enterprise data architecture and modeling efforts, guide data federation and authoritative sources, collaborate with analytics and implementation teams, and design and implement scalable data solutions while ensuring best practices and stakeholder communication.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

Serve as liaison between business stakeholders and IT to analyze needs, document requirements, recommend system improvements, support design/testing/implementation, train end users, and use analytics and AI-driven insights to improve processes and decision-making.

Design, build, and maintain secure, scalable data pipelines and platforms (including Palantir Foundry/Gotham) for mission-driven clients in classified or restricted environments. Guide cross-functional teams, communicate architecture decisions, implement secure analytics ecosystems, and support AI/ML integration and DevSecOps practices under constrained mission conditions.

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.