business: igaming
location: Kyiv, hybrid
format: full-time

🔴 about the company
the client come from a strong iGaming ecosystem with established media buying, affiliate operations, deep expertise, very solid investment, and our their custom platform.

🔴 mission
they`re launching a new igaming brand and prove that an online casino can be different: they are here to break patterns, challenge standards, and create a product the market hasn’t seen yet.

the product has just gone live. they’re forming the core team, and now looking for a
data analyst who will grow into head of analytics, build their own team, and shape the data infrastructure from day one. someone ready to become the analytics backbone of a fast-growing igaming product.
we’re searching for the bold, the hungry, the ones who want to build something meaningful — not just clock in and out.

🔴 what you`ll do
build and maintain the entire product analytics ecosystem (data collection, storage, dashboards);
set up and automate Tableau / Power BI dashboards for core KPIs (FD, deposits, retention, LTV, ROI, etc.);
develop SQL queries, ETL pipelines, integrations with data sources (CRM, PSPs, ad platforms, GA4, Amplitude, etc.);
analyze player behavior: segmentation, cohorts, churn prediction, patterns, anomalies;
evaluate marketing performance (CAC, ROI, ARPU, ARPPU);
build funnels — from click to deposit and long-term retention;
set up and analyze A/B tests, generate hypotheses and product insights;
prepare analytical reports for C-level and founders;
detect risks, anomalies, and potential fraud behavior;
collaborate closely with BI engineers, product, marketing, retention, monetization teams.

🔴 what you bring
2+ years as Data Analyst / Senior Data Analyst (iGaming, FinTech, e-commerce — big plus);
strong SQL and experience with both relational and non-relational databases;
confident use of BI tools (Tableau, Power BI, Looker);
experience with ETL pipelines and understanding of DWH principles (Snowflake, BigQuery, Redshift — nice to have);
advanced Excel/Google Sheets skills;
experience working with large datasets (Python / R is a plus);
ability to transform data into actionable insights and business recommendations;
strong background in statistics, A/B testing, predictive modeling (LTV, churn, ARPU);
understanding of iGaming metrics, user lifecycle, retention, monetization, funnels;
english: Intermediate+ (documentation & reports).

🔴 what we offer
unlimited paid vacation & days off — we trust, not control;
fast and aggressive growth — your role and compensation scale with impact;
work in a team of people who want to build something iconic.

let`s talk