Analytics Engineer Intern

Workday • Pleasanton, CA

7d • $154,500 • Onsite

About The Position

The Analytics Engineer Intern will join Workday’s Enterprise Data and Analytics (ED&A) team, launched in 2024 to transform and optimize how Workday creates and shares trusted data for actionable insights and data-led innovation. Under the direct guidance of senior engineering leaders, the intern will contribute to the data transformation lifecycle by converting raw data ingestion streams into structured, reliable assets for downstream business intelligence. Work includes writing clean, modular dbt code within repository controls, logging schema updates, and creating discoverable data views.

The role also develops foundational data literacy, team collaboration, and understanding of how data informs business metrics. The intern will participate in squad rituals, work with peers to turn execution requests into actionable tasks, and learn to navigate Workday enterprise systems. The intern is expected to adopt workspace AI productivity tools, including Sana and Gemini, to reduce routine reporting friction, automate standard documentation, and improve delivery capacity.

The internship is a full-time, in-person, 12-week program for Summer 2027. Interns participate in Workday’s Early Career Programs, including applied learning, personalized coaching, connection events, and the Product & Technology Atmosphere program, which offers tailored technical training and exposure to the Workday ecosystem and P&T leaders and peers.

Requirements

• Currently enrolled in a bachelor’s or master’s degree program in Computer Science, Information Systems, Mathematics, or a related field.
• Less than 12 months of professional work experience.
• Anticipated graduation date between December 2027 and June 2028.
• Available for a full-time, in-person 12-week internship in Summer 2027 in one of the listed locations and able to return to the university degree program after the internship.
• Hands-on experience writing, debugging, and executing SQL queries to manipulate and extract datasets for verification.
• Demonstrated knowledge of Python, SQL, data structures and algorithms, and database management.

Nice To Haves

• Demonstrated knowledge of cloud platforms such as AWS (preferred), GCP, or Azure.
• Knowledge of object-oriented programming concepts.
• Familiarity with AI tools such as Gemini, Claude, Cursor, Codex, or similar tools.
• Prior internship experience.
• Experience working in a team or collaborative environment.
• Strong problem-solving and communication skills, with the ability to share ideas clearly and collaborate across teams.

Responsibilities

• Transform raw data ingestion streams into structured, reliable data assets for downstream business intelligence frameworks.
• Write clean, modular dbt code within repository controls.
• Log schema updates and turn raw inputs into discoverable data views.
• Participate in squad rituals and collaborate with peers to turn execution requests into actionable items.
• Use workspace AI productivity tools, including Sana and Gemini, to reduce routine administrative reporting work and automate standard documentation tasks.
• Develop foundational data literacy and learn how data translates into business metrics and how to navigate Workday enterprise systems.

Benefits

• Personalized coaching, applied learning, and connection events through the Workday Intern Program.
• Tailored technical training and deep dives into the Workday ecosystem through the P&T Atmosphere program.
• The role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern