Product Analyst

Highcore Gamesis a Gamedev company with a head office in Miami and a distributed team around the world: Georgia, Poland, Cyprus, Armenia, Uzbekistan, Turkey, Indonesia, Thailand and others. The company has two divisions:hyper-casualandmid-core.Each has its own hit games with 300m players in total:

We are rebuilding the analytics function at Highcore from the ground up and are looking for aProduct Analystto serve as the primary analytical partner for our product team. We need someone who can independently formulate hypotheses, assist in deg A/B tests, dive deep into player behavior, and directly influence product decisions.

We are building a data infrastructure designed for a future whereAI agents work alongside the team. Since tools will handle the bulk of the coding and data extraction, we expectdepth of thinkingfrom our analyst. You should look at the product through the eyes of an owner and understand the true drivers behind player behavior.

Analyze player behaviorto uncover patterns and opportunities.

Design and analyze A/B tests: from hypothesis setting and sample size calculation to interpreting results and providing actionable recommendations.

Support feature launches: provide the analytics needed to evaluate new features, helping the team make decisions based on data rather than intuition.

Drive proactive insights: independently identify trends and anomalies rather than just reacting to incoming tickets.

Collaborate closelywith Producers and Game Designers.

Build and maintain production-quality dashboards inTableau.

Design and implement newanalytical eventswithin the product.

Contribute to the design and evolution of our internal analytical toolset.

1+ years of experienceas a Product or Data Analyst in theGamedevindustry.

A/B Testing Mastery: Proven experience deg and analyzing experiments, with a solid grasp of statistical functions, common pitfalls, and limitations. (We useGrowthBook).

F2P Metrics Fluency: You don't just know the definitions; you understand how metrics correlate and where one might mask a deeper issue in another.

Tableau: Ability to build clean, professional-grade dashboards.

Communication: Ability to synthesize complex data into simple, concise conclusions and recommendations for the CEO or Producer.

Git: Basic experience with version control for managing queries and analytical code.

AI-Native: You already use modern tools likeClaude, Cursor, or similar to enhance your workflow.

dbt Knowledge: Understanding data models and the ability to read/contribute to existing ones.

Python: Proficiency for analytical tasks (Pandas, visualization, automation).