Intern, Analytics Engineer

About Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an “enterprise startup to bet your career on” • Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America • Quartz ranked us the #1 best company for remote workers We are looking for an exceptional Analytics Engineer Intern to join our growing team. In this role, you will design and build dimensional data models and semantic layers that power business intelligence across the organization. You will develop efficient ELT pipelines and transformation workflows using Workato, collaborate with internal stakeholders to solve data challenges, and help integrate GenAI-powered capabilities into our data workflows and agentic systems. Key responsibilities: • Design and build dimensional data models and semantic layers for business intelligence. • Develop efficient ELT pipelines and transformation workflows using Workato. • Collaborate with internal business stakeholders to understand data pain points and develop solutions. • Optimize analytical workflows to improve productivity through macros and packages. • Develop frontend analytics to support data-driven decision-making. • Drive Data Governance initiatives by suggesting ideas to strengthen processes. • Support operational needs of various business units. • Build and integrate GenAI-powered capabilities into existing and future data workflows and agentic systems. Key Requirements • Currently pursuing a degree in Data Science, Computer Science, Information Systems, Business Analytics, or related field. • Ability to commit for at least 6 months. • Good understanding of Database concepts such as ERD. • Intermediate SQL skills (e.g., Join, CTE, and window functions). • Experience in building frontend analytics using Business Intelligence Tools (Tableau, PowerBI, Sigma Computing). • Experience with building data pipelines using ELT scripts in any language is a plus. • Experience in using data warehouses like Snowflake is a plus. • Strong interest in GenAI, agentic workflows, and the intersection of AI and analytics. • Experience with Claude Code , Cursor, Codex is a plus. Soft Skills / Personal Characteristics • Fast mover, comfortable in a fast-paced environment. • Excellent organizational skills and ability to juggle multiple projects. • Strong analytical, verbal, and written communication skills. • Thoughtful team player, keen learner with a “can do” attitude and growth mindset. Job Req ID: 2600