Marketing Analyst (Mobile Acquisition)

We are looking for a Marketing Analyst (Mobile Acquisition). In this role, you will own the signal layer that our mobile acquisition runs on: making sure every network gets the right post-install events, every algorithm optimizes toward the right value, and every dollar of spend is measured correctly in AppsFlyer. You will dig deep into attribution mechanics, campaign performance, and traffic quality across our portfolio of high-load social networking and streaming apps, catch measurement gaps before they hit spend, and turn cohort economics into recommendations the User Acquisition team can act on immediately.

About the company: We are a global IT product company shaping the future of real-time social connection. We have millions of users across North America, Europe, Latin America, and MENA, and we build next-gen mobile and web apps for the live-streaming and social networking niches. The market will exceed $206 billion by 2030, and we are already among the leaders in the industry. Founded in Ukraine, scaling worldwide.

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In this role you will

• Own post-install signal delivery end to end: event mapping per network, postback configuration in AppsFlyer, and the diagnostics that prove each network is actually receiving what we think it is
• Own what we optimize toward: which post-install event feeds each algorithm, value-based / tROAS bidding, event taxonomy and lookback windows, predicted-LTV signals
• Work across platform specifics: Google Ads app campaigns and in-app conversion imports, Meta app events via MMP and value optimization, TikTok/Snapchat event mapping and parity, Moloco and Mintegral S2S event feeds and AppsFlyer postbacks
• Build monitoring and alerts for event errors, latency, postback coverage, attribution gaps and MMP-vs-network discrepancies
• Investigate install/event drops and assess the measurement impact of app releases and SDK updates before they hit spend
• Own attribution correctness in AppsFlyer: self-attributing network reconciliation, reattribution and reinstall logic
• Own campaign naming conventions and event/parameter structure so network, geo, OS, campaign type and creative parse cleanly into reporting
• Analyze campaign performance and traffic quality by network, campaign, creative, geo and placement, including cohort retention, ARPU, ad revenue, payback and LTV per install
• Find growth points in CAC, ROAS and payback and turn them into recommendations the UA team can act on
• Test optimization hypotheses with UA: bidding strategy, which event to optimize for, conversion value definitions
• Build automated Tableau dashboards and ad-hoc reports on cohort economics, event delivery and funnel metrics
• Build and maintain custom marketing datasets in BigQuery on top of AppsFlyer and network data

It's all about you

• 3+ years of experience in marketing / UA analytics, with hands-on ownership of app acquisition data, not reporting only
• Confident SQL in BigQuery
• Solid grasp of statistics: cohorts, sample size, telling a real difference from noise
• Python (Pandas) for analysis and automation: data validation, event uploads, recurring pipelines
• Hands-on Tableau, from data model to dashboards the team uses daily
• Hands-on AppsFlyer beyond the dashboard: event and postback setup, integrated partner configs, raw-data exports
• Understanding of mobile attribution and performance marketing: why AppsFlyer, network and internal numbers disagree, self-attributing networks, reattribution and reinstalls, attribution windows
• Understanding of how post-install events feed network algorithms, or clear motivation to own this
• Awareness of traffic quality and install fraud on in-app networks
• Experience working with User Acquisition teams and supporting data-driven decisions
• Strong analytical thinking and attention to detail
• Ability to identify root causes of changes, not just describe the numbers
• Ability to build and defend clear business conclusions and recommendations
• Proactive mindset and strong communication skills

Would be a plus

• A/B testing experience
• Familiarity with AI tools like Claude in your analytical workflow

What we offer

Care and support:

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
• Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools
• Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Access to premium AI tools and technologies
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical interview
• Bar raiser interview
• Reference check
• Offer