Senior Data Analyst

About the Role

We are looking for an exceptional

Senior Data Analyst

to join our fast-paced, data-driven gaming team. The ideal candidate will possess

excellent SQL skills , a

strong analytical mindset , and a

passion for solving complex, high-impact problems

across

marketing analytics ,

product analytics , and

gaming performance optimization .

This role offers the opportunity to work on

massive-scale datasets (billions of data points) , influence product and marketing strategy, and partner with cross-functional teams to shape the future of our games and player experiences.

What We Are Looking For

1. Analytics & Problem-Solving Excellence

Exhibit

structured thinking ,

strong analytical skills , and a

data-driven mindset .

Solve complex, ambiguous problems with creativity and precision.

Deep understanding of

experimentation, A / B testing , and

statistical modeling .

Ability to translate analytical findings into

clear business recommendations

that drive measurable outcomes.

2. Stakeholder Management & Communication

Work closely with senior leaders across

Marketing, Product, Engineering, and Operations

to identify key opportunities and deliver impactful insights.

Demonstrate

excellent communication and storytelling skills —able to present data to both technical and non-technical audiences.

Build trust with stakeholders through transparency, reliability, and a deep understanding of business context.

3. Engineering & Technical Foundation

Design, build, and maintain

data pipelines

connecting games, ML models, data warehouses, and third-party systems.

Proficient in

SQL

(expert level) and

Python

for data manipulation, analytics, and automation.

Experience working with

large-scale data systems

(handling billions of data points).

Familiarity with

data modeling ,

ETL design , and performance optimization.

4. Data Visualization & Reporting

Proficiency in

Excel

and at least one BI / visualization platform such as

Metabase ,

Looker ,

Tableau ,

QlikView , or

Power BI .

Build scalable, self-serve dashboards and intuitive visualizations that enable faster decision-making.

Ensure data accuracy and clarity in all reports and visual artifacts.

Comfortable distilling complex data into simple, actionable insights.

5. Action-Oriented, Ownership-Driven & Independent Contributor

Strong

bias for action

and ability to deliver at speed.

Take complete ownership—from

conceptualization to execution —for analytics and data science projects.

Proven ability to work

independently , prioritize effectively, and manage multiple parallel initiatives.

Proactively identify opportunities, propose solutions, and drive them to completion.

Responsibilities

Deliver

end-to-end analytics and data science projects

aligned with product and business goals.

Conduct

deep-dive analyses

to uncover actionable insights across

user acquisition (UA) ,

marketing performance , and

campaign effectiveness , including

high-budget, multi-channel campaigns .

Partner with the Marketing and UA teams to

optimize spend efficiency ,

ROI , and

creative performance

through data-driven recommendations.

Collaborate with game and product teams to

design, validate, and optimize

data-driven product features and engagement strategies.

Design, execute, and interpret

experiments

(A / B tests) to guide strategic product and marketing decisions.

Build and maintain

dashboards, automation pipelines, and analytical frameworks

to empower business and marketing teams with real-time insights.

Mentor and guide junior analysts , fostering analytical rigor and technical growth within the team.

Contribute ideas and innovations

during product and marketing brainstorming and planning sessions.

Preferred Qualifications

4–6 years of experienc e in

data analytics , ideally in

gaming ,

consumer tech , or

digital products .

Strong foundation in

statistics, experimentation, and data science fundamentals .

Strong proficiency in

SQL, Excel, Python

Bachelor’s or Master’s degree in

Engineering, Statistics, Mathematics, Economics , or related quantitative field.

Experience with

big data platforms

(Athena, Redshift, Hive, Spark) is a plus.

Prior exposure to

digital marketing analytics ,

UA optimization , or

large-scale campaign measurement

is highly desirable.

Bonus :

Prior experience in a

gaming company

or with

game performance analytics

(player retention, monetization, or in-game behavior) will be a significant advantage.