We are seeking a Product Analyst to help with tracking, monitoring, and reporting across onboarding and login funnels. This position works closely with the data layer — collaborating directly with the database and analytics tools to maintain daily visibility of funnel health, and to determine when a metric warrants escalation to Product rather than simply being logged. The role is hands-on and execution-oriented: rather than designing the analytics strategy from the ground up, it involves owning the rigor of tracking and identifying issues early. Requirements include prior experience as a Product Analyst, Data Analyst, or similar role — ideally within a product or growth setting. Working familiarity with SQL / database querying is needed (pulling and joining data, not solely reading pre-built reports). Hands-on experience with Mixpanel or a comparable product analytics tool (Amplitude, GA4, etc.) is required. An understanding of funnel analysis concepts — conversion rate, drop-off, cohort basics — is expected. Comfort working with large spreadsheets (Google Sheets/Excel) for reporting and reconciliation is necessary. Being detail-oriented — able to detect when a number appears "off" before it reaches a dashboard — is essential. Clear written communication — able to summarize a data finding so Product can act on it swiftly — is needed. Bonus qualifications include prior exposure to fintech, KYC/onboarding flows, or regulated industries. A basic understanding of authentication/security metrics (login success rate, fraud indicators) is also a bonus. Responsibilities include monitoring daily, weekly, and monthly funnel and login metrics dashboards (registration → KYC submission, login success/security metrics, and related product funnels). Querying the database and Mixpanel to pull, validate, and reconcile funnel data. Maintaining and updating tracking dashboards and reports on a set cadence. Spotting anomalies, threshold breaches, or unusual drop-offs in funnel or login data. Escalating significant funnel drops or metric anomalies to Product with clear, data-backed context — detailing the stage, the segment, and what it likely means — rather than simply noting that the number moved. Supporting ad hoc data pulls and basic analysis requests from Product and other stakeholders. Keeping tracking documentation (event definitions, dashboard specs, metric definitions) accurate and current as the funnel evolves. Performing live app testing to gain a thorough, hands-on understanding of the app's user experience and underlying functionality. Benchmarking the product and onboarding/login flows against competitors to identify industry standards and areas for improvement. Conducting necessary research to support funnel optimizations and data-driven product recommendations. Benefits include joining the mission to increase Indonesia's financial inclusion.

Product Ops Analyst

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