Senior Data Analyst

Posted 3 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Fintech • Mobile • Payments • Software • Analytics
Adapty is a one-stop solution for in-app subscriptions, which allows integrating in-app purchases within an hour.
The Role
Owns end-to-end revenue and marketing data integration, including ETL pipelines, dbt modeling, data quality monitoring, and Metabase dashboards. Analyzes SaaS revenue and marketing metrics, explains performance changes, and builds forecasting and churn-risk models. Partners with Revenue and Marketing teams to deliver reliable metrics, actionable insights, and scalable reporting.
Summary Generated by Built In

At Adapty, we make it easy for mobile apps to manage in-app purchases and paywalls. We power 20K+ apps, process $3B+ in subscriptions every year, and have been growing fast for the last four years. Our mission is simple: make apps rich.

We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide.

Why This Role Matters

Adapty's Revenue team is scaling across SDR, Account Executive, Customer Success, and Professional Services. The data that explains how it is doing sits in CRM, billing, invoices, product usage, and marketing tools – and none of it is connected.

This role owns that end to end: pull the data in, model it, and turn it into dashboards and answers. Roughly half the job is engineering – pipelines, dbt models, automation – and half is analysis for the people who run Revenue and Marketing. The backlog is already deep, so the impact starts in week one.

What You'll Do

  • Build and own the pipelines that bring CRM, billing, invoice, product usage, and marketing data together — Airflow, dbt, n8n, Python.

  • Model that data into clean, documented, tested layers other people can build on.

  • Build the dashboards Revenue actually runs on in Metabase: pipeline, quota attainment, new revenue, churn, contraction, expansion, NRR/GRR, customer health.

  • Connect marketing to revenue: channel and event ROI, CAC, LTV, payback, funnel conversion.

  • Own data quality: monitoring, tests, and alerts that catch problems before leadership does.

  • Explain why revenue moved — product, region, segment, channel, billing logic, customer behaviour — not just that it moved.

  • Build forecasting and risk models: revenue forecast, churn and contraction risk, NRR forecast.

About You

  • You have built ETL pipelines yourself and kept them running in production – Airflow, dbt, n8n or equivalents.

  • Excellent SQL (PostgreSQL, ClickHouse) and strong Python for automation and analysis.

  • You are comfortable in a BI tool, ideally Metabase, and you build dashboards people actually use.

  • You know SaaS revenue metrics well: MRR, ARR, NRR, GRR, churn, contraction, expansion, pipeline, quota attainment, cohorts.

  • You know marketing metrics too: CAC, LTV, payback, channel and event ROI, attribution, funnel conversion.

  • You understand how SDR, AE, and CS work and how that shows up in revenue.

  • High ownership: you take a vague business question, clarify it, build the thing, explain the result, and say what to do next.

Nice to have

  • HubSpot data and HubSpot reporting logic.

  • Subscription, billing, invoice, or usage-based revenue data.

  • Churn prediction, customer health scores, or forecasting models that shipped and got used.

  • Marketing attribution across paid, organic, and events.

  • BI migration, dashboard governance, and aligning metric definitions across teams.

What's in it for you
  • Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.

  • Exceptional compensation directly tied to your results.

  • Direct communication and ownership. No bureaucracy, no politics, just impact.

  • Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.

  • Professional support. Language learning, sports, health insurance, laptop coverage, and more.

Skills Required

  • Experience building and maintaining production ETL pipelines using Airflow, dbt, n8n, or equivalent tools
  • Excellent SQL skills, including PostgreSQL or ClickHouse
  • Strong Python skills for automation and analysis
  • Experience with BI tools and building effective dashboards; Metabase preferred
  • Knowledge of SaaS revenue metrics, including MRR, ARR, NRR, GRR, churn, contraction, expansion, pipeline, quota attainment, and cohorts
  • Knowledge of marketing metrics, including CAC, LTV, payback, attribution, funnel conversion, and channel or event ROI
  • Understanding of SDR, Account Executive, and Customer Success processes and their relationship to revenue
  • HubSpot data and reporting logic experience
  • Experience with subscription, billing, invoice, or usage-based revenue data
  • Experience shipping churn prediction, customer health, or forecasting models
  • Experience with marketing attribution across paid, organic, and event channels
  • Experience with BI migration, dashboard governance, and aligning metric definitions across teams
Am I A Good Fit?
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The Company
36 Employees
Year Founded: 2019

What We Do

Adapty helps mobile developers to analyze and grow in-app subscriptions with a single line of code. Every month our platform processes more than 19 million subscription events coming from the apps that have chosen Adapty. These events include free trials, upgrades, downgrades, crossgrades, family sharing, renewals, promo offers, intro offers, promo codes, etc. We're a team of engineers. We love tech, we love coding, we love creating things, and we love quality. The core of our DNA is getting things done and winning. We enjoy competition, complex challenges, and serving our customers.

Why Work With Us

Working with us means: - Working in a small top-level team. - Owning your results. Fast. - Growing your career without bureaucracy. - Being remote from day 1. - Staying healthy and strong.

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