Intern, Analytics Engineer (Data Modeling)

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 Responsibilities As an Analytics Engineer Intern in the Product Management team, you will play a key role in driving the success of our products by developing data models, writing code, monitoring data, and communicating results. You'll work closely with Data Engineers and Product Analysts to support the delivery of high-quality, reliable, and accessible product usage data. You’ll get hands-on experience with modern data tools, build data models, and help turn raw data into actionable insights that drive product and business decisions. Moreover, you will explore technologies like GenAI and their potential applications to augment our product usage datasets. DBT Modeling: Design, develop, and maintain data models using DBT (Data Build Tool) for data transformation and analysis, providing accurate and consistent data for end users and stakeholders. Collaborate with Data Analysts and Business Stakeholders to understand their reporting and analysis needs and translate them into DBT models. Maintain our internal dbt conventions and best practices, ensuring our code base is clean and efficient. Data Reliability and Completeness: Ensure data quality and consistency by implementing robust testing, validation, and cleaning processes on source tables to improve data reliability. Apply data monitoring solutions to ensure data flows and transformations are performing optimally and accurately. Create and maintain data documentation definitions, including data dictionaries and process flows. Collaboration with Data Engineering Teams: Partner with data engineers, product analysts, GTM data teams, and other stakeholders to align data insights with product improvements. Communicate complex data patterns and conclusions effectively to internal and external stakeholders, coworkers, and end-users. Evangelize our team’s data models to business users, accelerating their time-to-insights. Exploring Emerging Technologies: Actively research the applicability of new tools and technologies, such as GenAI, to enhance data engineering and analysis. Develop and test prototypes that showcase the potential impact of GenAI and similar technologies on our current product usage datasets. Requirements Proficiency in SQL, database knowledge, and understanding of Python. Knowledge of using DBT is a plus. Fast mover and comfortable navigating a fast-paced environment. Currently pursuing a degree in ... (truncated, view full listing at source)