Top Data & Analytics Jobs

The internship offers military service members civilian work experience in data science through data analysis and related skillsets over 90-180 days.

Design, build, and own end-to-end data systems and pipelines powering payments, fraud response, and reporting. Implement streaming and batch integrations, APIs, and workflow orchestration. Define data correctness with monitoring, alerting, and tests. Create reusable patterns and collaborate with stakeholders to clarify requirements and tradeoffs.

As a Power Markets Analyst, you'll provide market analytics, insights, and collaborate with engineering and policy teams to optimize performance in established electricity markets.

As a Business Analyst at GLS, you'll leverage data analytics to enhance application processes and support business decisions, collaborating across teams to optimize operations and drive improvements.

As the first Data Scientist at Hang, you will analyze data to drive insights, develop predictive models, collaborate with teams, visualize data, and contribute to data strategies.

This role involves leading the credit line increase strategy through data analysis, cross-functional leadership, and optimizing credit policies to balance risk and growth.

The GIS Intern will assist GIS and Project Managers with Indoor Mapping field collection projects, focusing on data collection and analysis.

Lead design, deployment, and administration of a global multi-tenant Snowflake platform. Implement security, scalability, performance tuning, automation, CI/CD, networking (PrivateLink/VPC), integrations (Okta, AD, Tableau, JDBC), disaster recovery, and collaborate with cross-functional teams to support data products and operations.

Lead Walmart's RPC program, utilizing analytics to drive volume growth, optimize supply chain, and enhance partnerships. Responsible for strategic planning and performance reporting.

As a Data Scientist for Finance Forecasting, you'll develop and deploy forecasting models, establish measurement frameworks, and generate actionable insights for leadership, while collaborating with Data Engineering and Revenue Operations.