Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.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
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.
In this role, you will also be responsible for:
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, like GenAI, for enhancing data engineering and analysis.
Develop and test prototypes that showcase the potential impact of GenAI and similar technologies on our current product usage datasets.
Proficiency in SQL, database knowledge, and understanding of Python. Knowledge of using DBT is a plus.
Currently pursuing a degree in Data Science, Computer Science, Engineering, Business Analytics, or a related field.
Resourceful in execution and results-oriented
Interns who will be able to commit on a full-time basis for at least 6 months will be preferred.
Fast mover and comfortable navigating a fast-paced environment
Strong analytical skills and a passion for data-driven decision-making
Curious mindset with attention to detail.
Thoughtful team player, a quick learner, and have a “can do” attitude with a growth mindset
Excellent communication skills with the ability to articulate complex data models, data-driven insights, and issues stakeholders effectively
(REQ ID: 2785)
Skills Required
- Proficiency in SQL, database knowledge, and understanding of Python
- Knowledge of using DBT is a plus
- Currently pursuing a degree in Data Science, Computer Science, Engineering, Business Analytics, or a related field
- Interns who can commit full-time for at least 6 months
What We Do
The leader in enterprise automation, Workato helps organizations work faster and smarter without compromising security and governance. Built for Business and IT users, Workato is trusted by over 7,000 of the world's top brands like Gitlab, Toast, Broadcom, Intuit, Autodesk, and HubSpot. Leaders use Workato to automate key processes like Order to Cash, Speed to Lead, HR Onboarding and Offboarding and more.
Why Work With Us
Here at Workato, we are a team moved by innovation — a passion to create the best possible way and the drive to continue to make it better. We also believe in the power of our team, knowing that we only succeed if we all succeed together. Our team uses seven operating principles to help us make better decisions, work as a team, and have fun.
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