Senior Data Analyst

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 skillsable 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 ownershipfrom conceptualization to executionfor 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

46 years of experience 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

Bachelors or Masters 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.