Analytics Engineer Intern

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

As an Analytics Engineer Intern, you focus on high-quality technical execution, data curiosity, and rapid skill acquisition within the ED&A data transformation lifecycle. Operating under the direct guidance of senior engineering leaders, you are responsible for transforming raw data ingestion streams into structured, reliable data assets that support downstream business intelligence frameworks. Your technical execution centers on writing clean, modular dbt code blocks within our repository controls, logging schema updates, and turning raw inputs into discoverable data views.

Your soft skills development focuses on foundational data literacy, active team collaboration, and building a strong baseline understanding of how data translates into business metrics. You actively participate in squad rituals, collaborating with peers to turn execution requests into actionable items while learning to navigate Workday's enterprise systems. Concurrently, you accelerate your day-to-day delivery speed by aggressively adopting workspace AI productivity tools, including Sana and Gemini, using them to eliminate routine administrative reporting friction, automate standard documentation tasks, and scale your personal capacity.

Workday Early Career Programs:

In addition to collaborating with engineers, you’ll engage in our Early Career Programs — specifically structured to support and empower you to succeed throughout your internship!

Workday Intern Program

Brighter work days start with real work and real support from a community that helps you shine from day one. During our in-person internship experience, you’ll jump into meaningful projects and see how your ideas can help shape the future of work.

Interns build enterprise skills through applied learning, personalized coaching, and connection events designed so our Early Talent can bring their best self to work. If you’re invested in your growth, team-oriented, and ready to bring fresh ideas to work that makes an impact, we’d love to meet you. The future is now — apply today to launch your career as a member of the Workday Intern Program.

P&T Atmosphere:

As a member of the Product & Technology org, you’ll participate in our P&T Atmosphere program — a dedicated investment in your growth that offers tailored technical training and deep dives into the Workday ecosystem. This specialized program equips you with job-critical skills and connects you directly with P&T leaders and peers to fast-track your technical career.

#LI-DNI

Basic Qualifications:

• Currently enrolled in a Bachelor’s or Master's degree program in Computer Science, Information Systems, Mathematics, or related degree program
• 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 for the Summer of 2027 in the listed locations, and you will return to your university degree program after the conclusion of the internship
• Hands-on experience writing, debugging, and executing SQL queries to manipulate and extract datasets for verification
• Demonstrated knowledge of working in Python, SQL, Data Structures and Algorithms, and database management

Other Qualifications:

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

Visa sponsorship is not available for this role.

The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

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