About Ringkas
We're building AI-powered financial infrastructure, working with 33 major banks to improve and scale their conversion.
What this role is
You'll own product and business data analytics — instrumentation, experiments, dashboards. You will report to the Head of Product, and you're in the room before features are built, not after.
What you'll do
- Join product reviews before engineering starts to confirm we can actually measure what we're building.
- Work with the PM to translate product goals into measurable metric specs — confirm what's trackable, flag what isn't before engineering starts.
- Keep behavioral analytics data honest. Validate events, catch gaps, push engineering to fix them with a clear spec.
- Cross-check numbers across analytics tools regularly and own it when they diverge.
- Build BI dashboards the team can use without asking you.
- Write complex SQL against raw data tables independently, without routing every analytical question through a data engineer.
- Run experiment analysis — size tests, interpret results, and tell stakeholders clearly when something is inconclusive.
- Pull patterns around retention, drop-off, and feature adoption, then turn them into a point of view.
- As our Conversion Agent Product scales, dig into AI conversation data — funnel analysis, agent behavior, eval quality.
What we're looking for
- 4–6 years in product or growth analytics at a tech company that moves fast.
- Strong SQL fluency — you don't need an engineer to model data before you can work.
- Python for when SQL hits its limits — enough to do cohort analysis, statistical work, and light data manipulation independently.
- You've caught a feature that wasn't measurable before it shipped, not after.
- You've run experiments end-to-end and know the difference between inconclusive and failed.
- Experience with product behavioral analytics tools.
- Familiarity with Mixpanel and Metabase for stakeholder dashboards.
- Comfortable building process where there isn't one yet.
- You use AI tools day-to-day — we'll talk about this in the interview.
Strong plus if you have
- Prior experience at a high-scale consumer tech company (Gojek, Traveloka, Grab, Shopee, or equivalent).
- Background in fintech or lending.
- Exposure to AI product analytics — conversation funnels, agent behavior, or eval data.
- Exposure to dbt — comfortable reading models and trace lineage independently to understand where a number comes from.
