Senior Data Analyst

We’re looking for a senior data analyst — a self-driven, highly analytical professional who can help shape the future of our product, economy, and growth through data. You’ll work across all teams (Product, Marketing, Economy, Management) and play a critical role in turning data into business impact.

What You’ll Do

Manage A/B Testing — Define, plan, launch, and analyze experiments across product, economy, and marketing to drive growth and optimize user experience.
Product & Busine ss Analysis — Monitor business KPIs, evaluate feature performance, and deliver actionable insights to help achieve company goals.
Ad Hoc Analyses — Dive deep into data to answer critical business questions and support decision-making.
Dashboard Development — Build and maintain BI dashboards (Tableau) to make relevant, real-time data easily accessible to stakeholders.
Data Storytelling — Distill large, complex analyses into clear, impactful insights and action items that influence company direction.
Data Infrastructure (Bonus) — Help shape the data layer by defining requirements and building ETL processes to ensure reliable and scalable data.

Requirements:

4+ years in data analysis, preferably in gaming or a related industry.
Strong SQL skills.
Strong BI skills — experience with Tableau or similar BI tools.
Strong understanding of A/B testing design and analysis.
Strong analytical thinking with the ability to identify key insights that drive action.
Excellent communication and data storytelling skills.
Ability to work independently, lead projects, and prioritize effectively in a fast-paced environment.
Fluent English. Advantages:
Proficiency in Python for data analysis, automation, or ETL.
Experience with DBT, Mixpanel, or other analytics platforms.
Familiarity with APIs for data extraction. Background in advanced statistics or machine learning.
BSc/BA in a quantitative field (Mathematics, Industrial Engineering, Economics, Statistics, or similar).

Advantages:

Proficiency in Python for data analysis, automation, or ETL.
Experience with DBT, Mixpanel, or other analytics platforms.
Familiarity with APIs for data extraction.
Background in advanced statistics or machine learning.
BSc/BA in a quantitative field (Mathematics, Industrial Engineering, Economics, Statistics, or similar)