About this role
About Workato 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 Responsibilities As a Product Insights Analyst Intern, you will play a pivotal role in creating and maintaining 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 will also be 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. • 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. • Create and maintain data models • Creating reliable, robust analytical data models that can accelerate time-to-insights for the analytics team. • Work with the analytics engineering team to create fresh, reliable, and robust DBT pipelines Requirements Qualifications / Experience / Technical Skills • Python, DBT, SQL, and database knowledge is a plus • Interns who will be able to commit on a full-time basis for at least 6 months will be preferred. Soft Skills / Personal Characteristics • 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. (REQ ID: 2786)
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