Sr. Product Analyst - AI Products
New
H
HighLevelSaaS, AI
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- At least six years of experience in product or business analytics
- Required Skills
- PythonSQLSnowflakeTableauClickhouseR
Requirements
- At least six years of experience in product or business analytics, including time spent working directly with product teams.
- Strong SQL skills: ability to write multi-CTE queries, window functions and cohort logic, and query semi-structured JSON.
- Production experience with a cloud data warehouse, ideally ClickHouse and Snowflake.
- Ability to author in Superset or Tableau, including building datasets and dashboards.
- Experience with a product analytics tool such as Pendo, Amplitude or Mixpanel.
- Experience owning a recurring metrics pack or business review.
- Solid command of SaaS metrics (MRR, ARR, churn, retention, ARPU).
- Statistical grounding to size and read experiments.
- Clear written English communication skills.
- Ability to move into Python or R for work SQL cannot do.
Responsibilities
- Run the recurring business review for the AI portfolio, from building the underlying analysis through to presenting the results to product leadership.
- Define and document the metrics for each AI product, including activation, adoption, the north star metric and penetration.
- Build and maintain the Superset datasets, charts and dashboards the AI team depends on, and audit existing reporting.
- Write complex SQL against ClickHouse and Snowflake to answer custom data questions.
- Report each product's performance against the annual operating plan and explain variances.
- Analyse retention, cohort behaviour and adoption funnels at the sub-account level.
- Build the unit economics of AI usage, converting token consumption into cost by model.
- Report on AI product quality, covering version-over-version evaluation results.
- Specify instrumentation with product managers before a feature ships and analyse in-product behaviour.
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