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.