.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 worldDeloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North AmericaQuartz ranked us the #1 best company for remote workersResponsibilities : In this role, you will also be responsible to:Data Infrastructure and Tools : Design, build and maintain the analytical infrastructure and data pipelines necessary for collecting, processing and analyzing product data. Ensure data quality, integrity, freshness and availability for analysis. Evaluate and implement modern data integration and transformation tools to streamline data workflows.Data Governance and Compliance : Ensure compliance with data privacy regulations and adhere to best practices for data governance and security. Maintain data integrity and confidentiality while handling sensitive user and product data.Cross-Functional Collaboration : Work closely with cross-functional teams, including product management, data science, and engineering, to gather requirements, define metrics, and align on analytical approaches. Foster collaboration and data-informed discussions to drive consensus and alignment across teams.Continuous Improvement : Stay updated with industry trends, emerging technologies, and best practices in product analytics. Proactively identify opportunities to enhance analytical capabilities, introduce new tools or methodologies, and improve data-driven decision-making processes.Analyzing Product Data : Utilize data analytics techniques to extract insights from product usage, user behavior and other relevant data, structured and unstructured. Identify trends, patterns and correlations to gain a deep understanding of user needs, product performance, and opportunities for improvement
