About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale — fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide.
About your role: As a Product Analyst on the Plamfy team, you’ll turn raw behavioral data into decisions that shape a product used across international markets. You’ll own the analytical backbone of a dedicated feature area — from tracking and dashboards to A/B testing and root-cause analysis — working shoulder-to-shoulder with product managers who expect answers grounded in evidence, not guesswork. This is a role for someone who wants their SQL queries and experiment designs to directly move metrics like retention, LTV, and engagement at scale.
In this role, you will
- Own analytical coverage for an assigned feature or product area — tracking plans, event validation, dashboards, and ongoing monitoring of key metrics like LTV, churn rate, cohorts, retention, and ARPPU
- Design, run, and analyze A/B tests, delivering not just a recommendation but a root-cause explanation and the next hypothesis for the product manager
- Proactively spot anomalies, product bugs, and UX issues through monitoring and alerts, escalating with a preliminary hypothesis and recommendation
- Generate your own data-driven hypotheses from patterns in the data and feed them into the product backlog
- Contribute analytical input to Discovery and scoping for major product initiatives from the earliest hypothesis-forming stage
- Automate reporting processes and build dashboards for different stakeholders, keeping Tableau and BigQuery data consistent
- Document research and A/B test results per the team’s standard template and share outcomes with stakeholders within the agreed SLA
It’s all about you
- 1.5+ years of experience as a Product or Data Analyst in the IT domain
Full proficiency in SQL - Confident with data visualization tools such as Tableau, Data Studio, Power BI, Apache Superset, or Qlik
- Solid understanding of key product metrics, with experience building funnels and translating them into recommendations
- Knowledge of statistics fundamentals and experimental design, including regression methods
- Hands-on experience with A/B and multivariate testing
- A track record of delivering analytical solutions for complex product challenges — user pattern research, experiment support, feature analysis, use-case analysis
- A structured, ownership-driven mindset with a genuine drive to grow
- At least an Intermediate level of English
Would be a plus
- Experience with Python
- Experience using AI tools like Claude to speed up analysis and reporting
What we offer
- Care and support:
- 20 paid vacation days, 15 sick 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
- 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
- Corporate library, book club, and knowledge-sharing events
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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