Product Data Analyst: Flexible Hours & Impactful Analytics

evoplaygames; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working hours

Direct access to C-level

Legal support

Corporate psychologist

Gifts for significant occasions

Job summary

Evoplay is a leading iGaming provider seeking a data analytics professional to own game and product analytics. You will build KPIs, run A/B tests, and design dashboards in QuickSight or Power BI on data stored in ClickHouse, collaborating with designers, product managers, and data engineers.

The ideal candidate has 3+ years in product or data analytics, strong SQL, BI tool experience, and fluency in English. Knowledge of iGaming metrics like GGR or RTP is a plus.

Qualifications

• 3+ years in product or data analytics.
• Strong SQL with complex joins and window functions.
• Hands-on BI tool experience (QuickSight, Power BI, Tableau or similar).
• Statistics knowledge for experiments (significance, power, peeking, multiple comparisons).
• Python or R for analysis beyond SQL.
• Ability to explain findings to non-analysts.
• English (B2 or higher).

Responsibilities

• Own analytics for a set of games or a product area: KPIs, regular reporting, deep dives into player behaviour.
• Design and analyse A/B tests for game mechanics and features, from hypothesis and sample size to the final read-out.
• Build and maintain dashboards in QuickSight / Power BI on top of data in ClickHouse.
• Work with game designers, product managers and data engineers to define metrics and ensure tracking is correct.
• Take part in improving our BI setup, including data models and reporting migration.

Skills

SQL

BI tools

A/B testing

Statistics

Python or R

Communication

English

Tools

ClickHouse

QuickSight

Power BI

Tableau

Job description

Evoplay is a leading iGaming provider seeking a data analytics professional to own game and product analytics. You will build KPIs, run A/B tests, and design dashboards in QuickSight or Power BI on data stored in ClickHouse, collaborating with designers, product managers, and data engineers.

The ideal candidate has 3+ years in product or data analytics, strong SQL, BI tool experience, and fluency in English. Knowledge of iGaming metrics like GGR or RTP is a plus.