Top Data & Analytics Jobs

The Data Engineering Intern will support the development and maintenance of data pipelines, write and troubleshoot SQL queries, resolve data quality issues, automate processes, test data solutions, and document systems. The role collaborates with data engineers, analysts, and business stakeholders while gaining exposure to databases, orchestration tools, APIs, industrial data systems, and enterprise technologies. This is an on-site internship in Sioux Falls, South Dakota.

Analyzes structured and unstructured data to support USSOCOM decision-making. Develops dashboards, visualizations, reports, data models, and workflows; writes queries and scripts; performs data quality checks; documents data processes; and collaborates with database administrators, engineers, and mission stakeholders. The role also supports operational planning, mission readiness assessments, cybersecurity and data governance compliance, stakeholder presentations, and mentoring junior analysts.

Supports Airbus manufacturing digital transformation initiatives through project governance, stakeholder engagement, change management, data-flow mapping, dashboard creation, exploratory analysis, data cleaning, and ad hoc stakeholder requests. The intern works onsite with operations, industrial engineering, data scientists, and engineers to improve production processes and deploy digital solutions.

Build and maintain data lakes, data warehouses, and modern data pipelines for a multi-tenant SaaS platform. Design end-to-end data processes, write pipeline and infrastructure code, conduct design reviews, optimize performance, monitor systems, support data governance, and troubleshoot scalability and security issues. Collaborate with technical and business stakeholders, mentor junior engineers, evaluate technologies, document platform architecture, automate testing, and participate in on-call rotation.

Lead and mentor analytics engineers while building scalable data foundations, instrumentation, experimentation practices, AI-assisted analysis tools, ETL/ELT pipelines, and self-service datasets. Partner with data scientists, engineers, product managers, designers, and researchers to improve data quality, documentation, metric investigations, and insight-driven decision-making. Drive analytics engineering strategy, workflow optimization, and responsible use of AI across analysis and development processes.

Lead architecture and governance of the enterprise data platform, designing a unified data foundation across Snowflake, Databricks, OneLake and cloud services. Drive complex integrations, cross-platform governance, data cataloging, platform modernization, scalability and stability, and enable self-serve analytics and AI/ML for 5,000+ users.

Analyzes pharmacy, healthcare, and business datasets to identify trends, opportunities, and program outcomes. Writes optimized SQL, ensures data quality, collaborates on scalable data pipelines, and develops operational dashboards and KPIs using Power BI and Sigma. Presents analytical findings to technical and non-technical stakeholders, leads projects independently, gathers business requirements, and uses AI tools to improve analytical efficiency and output quality.

Provide frontline production support for Oracle, Sybase ASE, and AWS data systems in DoD and GovCloud environments. Monitor databases and pipelines, investigate alerts and tickets, resolve routine incidents, perform backups, patching, access provisioning, and health checks, and escalate complex issues. Troubleshoot applications, authentication, login, and basic NGINX issues while maintaining runbooks and incident documentation. The role requires rotating 24/7 support, including nights, weekends, and holidays.

Supports the US data journalism team by sourcing, cleaning, and analyzing data; creating data graphics; collaborating with reporters and global data colleagues; and pitching original journalism projects. The intern will work on deadline across visualizations, news stories, interactive features, and narrative projects, with opportunities to present work to editors and leadership.

Supports wholesale account analysis by reviewing sales, sell-through, inventory, and available-to-sell data. Identifies ordering opportunities, maintains weekly order processes, creates reports in Excel and Power BI, and improves data organization and documentation. Collaborates with Sales and cross-functional partners while developing recommendations, monitoring data quality, and supporting process improvements in a wholesale retail environment.