Intern, Product Insights

**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.

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 a **Product Insights Analyst Intern**, you will play a pivotal role in the creation and maintenance of data products that drive organizational success through data-driven insights. Your primary responsibilities include gathering, analyzing, and optimizing product usage data, understanding user behaviour, and providing recommendations for enhancing consumer engagement. Additionally, you will be involved in experimental initiatives that require research and prototyping of the use of GenAI with data.

In this role, you are also responsible for:

- Data Gathering and Analysis
- Gather, monitor, and analyze data to generate insights to inform the organization of trends, and opportunities to drive growth.
- Leverage advanced AI technologies, including GenAI, to optimize data processes and ensure data accuracy and quality.
- Democratize data across the organization
- Create and manage data products, assets that will drive adoption and access to insights and data across internal teams and the wider organization.
- Building and maintaining dashboards for data assets.
- 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.
- 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.

**Requirements**:
**Qualifications / Experience / Soft Skills**: Python, DBT, SQL, and database knowledge is a plus

Fast mover and comfortable navigating a fast-paced environmentResourceful in execution and results-orientedStrong analytical skills and a passion for data-driven decision-makingThoughtful team player, a quick learner, and have a "can do" attitude with a growth mindsetExcellent 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.