Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Own data quality and reliability for the CRM product by automating checks, managing exception dashboards, and integrating new data sources.
Perform advanced data investigations and diagnostic queries across various databases and monitoring tools to identify and resolve data issues impacting product analytics.
Build and maintain CRM business, product, and system reliability dashboards, set alerts on key metrics, and quantify impact of issues such as downtimes and customer impact.
Minimum Requirements
Bachelor’s degree in engineering.
4+ years of relevant experience in product analytics, data quality, or business intelligence.
Strong hands-on expertise in SQL and Python, with experience in Redshift (or similar columnar warehouses), Postgres, and BI/dashboarding tools (preferably Looker).
Experience managing A/B tests, funnel and cohort analysis, and working with data from Google Analytics and Firebase.
Ideal Candidate Profile
Experienced working closely with product managers, backend and data engineers in a product analytics and data reliability context, preferably in fintech, lending, e-commerce, or logistics domains where data accuracy is critical.
Skilled in multi-source data integration and investigative analytics involving SQL, Python, PromQL, metrics monitoring (e.g., Prometheus, Grafana), and building reliable, production-grade dashboards.
Capable of translating complex metrics into actionable business insights and communicating clearly to technical and non-technical stakeholders, with ability to collaborate cross-functionally without direct authority.
