Data Analytics Manager & Churn Expert

About Us We're Silq, a fast-growing language learning app helping the diaspora community reconnect with their heritage languages — starting with Dari and Pashto. We have a churn problem we're ready to fix and need an expert to help us solve it. The Problem Our monthly churn rate is around 26%. We know the surface-level reasons but need someone who can go deeper — identifying which users are most likely to churn, what behaviors predict it, where in the user journey we're losing people, and whether the changes we're shipping are actually moving the needle. What You'll Do Build a churn prediction model and segment churners by behavior and profile Identify key indicators that predict churn 7–14 days out Analyze our lesson completion funnel to find where users drop off Build detailed dashboards that surface data points across the user journey so we can quickly pinpoint bottlenecks Measure the before/after impact of product changes and help set up A/B testing Deliver a weekly churn report with clear, actionable recommendations — not just numbers Data Sources Stripe, in-app behavioral data (lessons, streaks, XP), exit survey responses, and email engagement. Who We're Looking For Proven experience with subscription churn analysis (SaaS or consumer apps) Strong SQL and experience with tools like Mixpanel, Amplitude, Looker, or Tableau Able to translate data into clear recommendations readable by a non-technical founder Comfortable with ambiguity and working in a fast-moving small team Engagement Freelance, 15–20 hrs/week, remote. Initial 30-day engagement with strong likelihood of ongoing work. To Apply Tell us about a specific churn problem you diagnosed and what the outcome was, the tools you'd use to analyze our data, and what you'd want to look at in your first week. Generic proposals will not be considered.