About this role
Okta builds identity infrastructure, the layer that decides who and what is allowed into a company's systems, and it now positions that work around securing AI agents as well as people. This role sits in product analytics: you would build the dashboards and data models that tell product teams what is actually happening, then do the deeper analysis that explains why. The stack is specific and modern, which is the main reason to look at it: SQL at expert level, Tableau, Snowflake, dbt and Python. It is one of only two roles in today's edition asking for as little as 3 years, and it is a genuine data role rather than reporting work, since you own the models and pipelines behind the dashboards rather than just the charts on top of them.
Who this is for
Asks for proven experience as a data analyst or similar with a focus on product analytics, and 3 to 5 years of experience. Required: expert level SQL, strong experience with data visualisation tools and Tableau in particular, hands on experience with a cloud data warehouse such as Snowflake and a transformation tool such as dbt, and Python for analysis and scripting. The posting also asks for a proactive interest in applying AI to analytical work, which it repeats as a responsibility, so expect that to come up in interview.
Added advantage: other BI tools such as Looker or Power BI, statistical analysis and machine learning, and familiarity with product analytics platforms such as Amplitude or Mixpanel.
Day to day: design and build dashboards and reports in Tableau against key product metrics; build and maintain data models and pipelines in Snowflake and dbt; run in depth product analysis to find trends and improvement opportunities; write complex SQL and use Python for advanced analysis; work with product managers and engineers to understand what they need; explore ways to use AI and machine learning to extend the team's analytical capability; and communicate findings to technical and non technical audiences.
Location is Bengaluru and the posting carries a hybrid tag, though it does not state a specific number of office days. Okta says onboarding begins with an immersive in person experience.
No interview process is published. Fit note: expert level SQL is stated as a requirement rather than a preference, so treat that as the real bar.
Added advantage: other BI tools such as Looker or Power BI, statistical analysis and machine learning, and familiarity with product analytics platforms such as Amplitude or Mixpanel.
Day to day: design and build dashboards and reports in Tableau against key product metrics; build and maintain data models and pipelines in Snowflake and dbt; run in depth product analysis to find trends and improvement opportunities; write complex SQL and use Python for advanced analysis; work with product managers and engineers to understand what they need; explore ways to use AI and machine learning to extend the team's analytical capability; and communicate findings to technical and non technical audiences.
Location is Bengaluru and the posting carries a hybrid tag, though it does not state a specific number of office days. Okta says onboarding begins with an immersive in person experience.
No interview process is published. Fit note: expert level SQL is stated as a requirement rather than a preference, so treat that as the real bar.
Apply on company site
Opens www.okta.com, the employer's own application page. Applying is always free.