data ana

ONLY MUMBAI CANDIDATES:

Company Description

Role Description

Role Overview

The Mobile Game Data Analyst will turn billions of player gameplay events and behavioral logs into actionable insights. You will work at the intersection of game design, monetization, product management, and marketing to optimize player retention, engagement, and revenue (LTV/ARPU).

Key Responsibilities

• Player Behavior & Funnel Analysis:

  Track and analyze player journeys from initial app install through onboarding, level progression, and churn points to identify drop-off areas.

• Monetization & Economy Balancing:

  Monitor in-game economies, virtual currency flows, pricing strategies, and in-app purchase (IAP) conversion rates to maximize revenue without hurting player experience.

• A/B Testing & Experimentation:

  Design, execute, and evaluate A/B tests for new game features, UI changes, level designs, and live-ops events to determine statistical significance and business impact.

• KPI Dashboard Management:

  Build, maintain, and automate real-time dashboards tracking core mobile gaming metrics:
• DAU / MAU (Daily/Monthly Active Users)
• Retention Rates (Day 1, Day 7, Day 30)
• ARPU / ARPPU (Average Revenue Per User/Paying User)
• Churn Rate & LTV (Lifetime Value)

• User Acquisition & Marketing Attribution:

  Collaborate with user acquisition (UA) teams to measure return on ad spend (ROAS), campaign performance, and player lifetime value across various ad networks.

• Cross-functional Collaboration:

  Translate complex data findings into simple, narrative-driven recommendations for Game Designers, Producers, and Marketing teams.

Required Qualifications & Skills

1. Technical Skills

• SQL:

  Advanced proficiency in writing complex queries, joins, and window functions to extract data from raw event databases.

• Data Visualization Tools:

  Hands-on experience with tools like Tableau, PowerBI, Looker, or Mixpanel/Amplitude.

• Programming Languages:

  Proficiency in

  Python

  or

  R

  for statistical analysis, data manipulation, and predictive modeling.

• Spreadsheet Expertise:

  Advanced Excel/Google Sheets skills for rapid ad-hoc modeling.

2. Experience & Background

• Education:

  Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, Analytics, or a related quantitative field.

• Experience:

  2 to 5 years of data analysis experience, ideally within the mobile gaming industry, consumer internet, or digital entertainment sectors.

3. Soft Skills & Mindset

• Passion for Gaming:

  A genuine interest in mobile games, game loops, and industry trends.

• Communication:

  Ability to bridge the gap between technical data engineering and creative game design.

• Curiosity & Critical Thinking:

  A natural drive to ask why player metrics fluctuate and a methodical approach to problem-solving.

Nice-to-Have (Bonus Skills)

• Experience with cloud data warehouses (e.g., Google BigQuery, Snowflake, AWS).
• Familiarity with mobile attribution partners (AppsFlyer, Adjust) and game analytics platforms (Firebase, GameAnalytics, Singular).
• Basic understanding of predictive machine learning models for churn prediction or player segmentation.