Business Data Analyst

GoodWill HR

Location
Remote
Employment
Full-time
Level
Specialist
Category
Data & Analytics
Posted

Description

We are looking for a Business Data Analyst to join a new B2C iGaming startup focused on the CIS market.

The project is currently at an active launch stage, so we need an analyst who already understands online casino economics, player behavior, and core iGaming metrics and can help build the business and product analytics function from the ground up.

📊 Responsibilities

Build and develop business and product analytics from scratch

Analyze key iGaming metrics: GGR, NGR, FTD, Deposits, ARPU, LTV, Retention, Conversion, Churn

Analyze the player funnel: Registration → FTD → Repeat Deposit → Retention

Perform cohort analysis and player segmentation

Identify growth opportunities, anomalies, trends, and reasons behind KPI changes

Analyze the effectiveness of bonuses, CRM campaigns, promotions, and VIP segments

Build dashboards and regular management reporting

Prepare actionable insights and recommendations for Product, Marketing, CRM, Finance, and Management

Support business decisions with data and ad-hoc analysis

🎯 Must-have

Hands-on experience in Business / Product / Data Analytics within iGaming

Direct experience with B2C Online Casino

Strong understanding of casino economics and metrics such as GGR, NGR, FTD, LTV, Retention, ARPU, Deposits

Confident SQL skills and experience working with large datasets

Experience with Power BI, Tableau, Looker, or similar BI tools

Strong analytical thinking and ability to turn data into clear business conclusions and recommendations

➕ Nice to have

Experience building analytics, reporting, or BI infrastructure from scratch

Experience with CIS GEO

Experience working closely with Product, CRM, Marketing, Finance, or VIP teams in iGaming

💻 Conditions

Remote

GEO: CIS

Industry: iGaming / B2C Online Casino

Project: new startup / launch stage

This role offers an opportunity to join the project at an early stage, directly influence how analytics is built, and work with data that drives product and business decisions.

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