Intern, Product Insights Analytics



Product, Data Science
Posted on Friday, November 10, 2023

About Workato

Workato is the only integration and automation platform that is as simple as it is powerful — and because it’s built to power the largest enterprises, it is quite powerful.

Simultaneously, it’s a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.

We’re proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning.

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 a Product Insights Analyst Intern, you will play a pivotal role in driving product success by leveraging data-driven insights. Your primary responsibilities include gathering, analyzing, and optimizing data for product launches, understanding user behavior, and providing recommendations for enhancing consumer engagement. Additionally, you will be involved in researching emerging technologies e.g GenAI to create prototypes that can impact our products.

  • Data Gathering and Analysis

    • Gather, monitor, and analyze data to support the planning of upcoming product launches.

    • Leverage advanced AI technologies, including GenAI, to optimize data processes and ensure data accuracy and quality.

  • User Behavior Insights

    • Deepen the understanding of overall user behavior, feature and functionality usage, and inferred user needs.

    • Design and develop metrics, reports, and interactive dashboards using multiple data sources.

    • Provide a comprehensive 360-degree view of the consumer to inform decision-making

  • Data-Based Recommendations

    • Offer data-driven recommendations, enhanced by GenAI insights, to improve consumer engagement and guide product development.

    • Collaborate with cross-functional teams to align data insights with product improvements.

  • Collaboration with Analytics Team

    • Partner with colleagues in the analytics organization to identify business challenges that can be addressed through data science and machine learning, including GenAI.

    • Conduct research and analysis on the application of AI technologies, including GenAI, in the industry.

    • Create and present prototypes that demonstrate the potential impact of these technologies on our products.

  • Feature Adoption and Usage Framework

    • Help drive the development of frameworks to understand and drive feature adoption, usage, and metrics

    • Generate insights and data products that make feature-related data easily understandable and actionable.


Qualifications / Experience / Technical Skills

  • Python, R, SQL, and database knowledge is a plus

  • Fast mover and comfortable navigating a fast-paced environment

  • Resourceful in execution and results-oriented

  • Strong analytical skills and a passion for data-driven decision-making

  • Thoughtful team player, a quick learner, and have a “can do” attitude with a growth mindset

  • Excellent communication skills and the ability to convey complex data and AI insights to non-technical stakeholders.

  • Interns who will be able to commit on a full-time basis for at least 6 months will be preferred.