We're looking for a MarTech specialist with strong expertise in attribution, tracking, measurement and growth analytics across mobile apps and web products. The ideal candidate understands how app and web marketing ecosystems work: user acquisition, attribution, monetisation, tracking, and performance measurement. They should go beyond a standard Data Analyst in Martech depth and operational know-how, but do not need to build pipelines or infrastructure. This is the perfect opportunity for you if: 👉 You’re looking for a place where: You can work on a portfolio of apps, not just one You can go deeper into how growth actually works under the hood You’re surrounded by people who are just as curious (and stubborn) as you are People who: Care about why data doesn’t match Enjoy debating attribution logic And won’t look at you weird when you say “I checked the raw postbacks” This role sits within MarTech, not within the Marketing / Paid UA team. You’ll work closely with UA folks but your focus is measurement, tracking, and infrastructure, not campaign execution. Long story short: making sure the data flows smoothly and is useful. 👉 You won’t just work on growth: you’ll help build the foundations that make it work. What You’ll Do Own and improve attribution & tracking across apps and web Maintain and improve measurement architecture for mobile (MMP-led) and web (tagging / pixels / data layer-led) setups Ensure app and web data connect cleanly where funnels cross channels (W2A, web-to-app, cross-device journeys) Debug issues across the full funnel Apps: Click → Install → Event → Revenue Web: Visit → Landing → Tag fire → Conversion → Revenue / lead / signup Trace breaks across sources and teams, not just in one tool Ensure clean and consistent data across Mobile: MMP (ideally AppsFlyer), ad networks, product analytics (e.g. Amplitude), monetisation (RevenueCat / Adapty) Web: GTM / tagging, pixels, GA4 or equivalent, SEM / paid social platforms, landing pages Shared layer: event definitions, naming, mapping logic, and reporting inputs used by UA and growth Design and validate: Apps: postbacks (S2S), event mappings, attribution logic & windows Web: conversion events, tag configuration, parameter capture, campaign tracking consistency Work on Web2App (W2A) flows: Capture parameters on landing pages Ensure correct stitching into app attribution Collaborate closely with UA, Product, and Engineering: Validate SDK implementations Ensure events are triggered correctly Raise and propose fixes when something breaks Work with subscription & monetization data: Integrate platforms like RevenueCat / Adapty Handle webhook / S2S data flows into the warehouse Support UA Managers by ensuring: The data they optimize on is actually reliable Campaign signals (events, revenue) are correctly implemented Requirements Core requirements: Fluent English skills: Clear communication with UA, MarTech and Data teams is essential. We're not expecting you to fully understand Peaky Blinders without subtitles - but you should feel confortable communicating in your day-to-day work. Martech & Marketing Knowledge (priority) Must understand growth and measurement across mobile and web: Mobile Attribution / MMP: AppsFlyer (preferred), Adjust, Singular Monetisation: RevenueCat, Adapty, Superwall Product analytics: Amplitude Web Web analytics & tagging: GTM, pixels, event/data layer setup Web acquisition: SEM, paid social, landing pages, conversion tracking Cross-channel measurement: how web and app funnels connect (W2A, web-to-app, etc.) Shared knowledge: User acquisition (UA) Ad networks and campaign performance measurement Tracking and event instrumentation Funnel analysis and cohort thinking (install/visit → trial → payment → recurrence) Data quality: spotting gaps, discrepancies, and broken tracking Technical / Analytics Requirements: SQL and comfort working with marketing data Ability to clean, validate, and analyse tracking data across sources Understanding of APIs and event-based integrations (supporting automations, not building them) Comfortable collaborating with technical teams on data issues, pipelines, and integrations Example of the level expected: Investigating discrepancies between MMP, product analytics, and monetisation data Auditing tracking setup (app or web) and defining what’s missing or broken Building analyses around UA performance, payment cohorts, or conversion funnels Supporting growth/UA teams with clear, actionable measurement — not owning infra Nice to Have: GCP familiarity: BigQuery, Cloud Functions, cloud-based event processing Experience with conversion APIs (Google, Meta, TikTok, etc.) SKAN / iOS privacy and attribution changes understanding AdMob and hybrid monetisation models understanding Exposure to internal martech platforms or conversion routing tools Analytics Engineering background Mindset: What Makes You a Great Fit You’re a doer If you don’t know something → you figure it out: Tutorials Forums Deep dives Tools like Perplexity AI You: Don’t trust data blindly Enjoy debugging Like understanding how things actually work You’re comfortable: Exploring repos Understanding SDK implementations Proposing (or even making) small fixes when needed 👉 You don’t just find problems — you fix them. Our Values in Action Level up → Share better ways to track & measure See it, fix it → Broken tracking ≠ someone else’s problem Always ahead → SKAN, ATT, CTV — you’re already testing Now means now → Critical issues get solved today Team spirit → Bridge UA, Product, Data & Tech Ownership → You bring solutions, not just problems Benefits Why join us Work on a portfolio of apps , not just one Be the bridge between UA and Tech (MarTech layer) Own and shape measurement & attribution foundations Join a team that: Checks raw data Questions attribution Actually cares about how things work And yes — this is a place where: “data doesn’t match” is not accepted “it’s probably SKAN” is not a final answer And going one layer dee