Analyst – Game Data | 99Games | Udupi

Job Description

99Games is hiring an Analyst – Game Data for its Udupi office. This opportunity is ideal for candidates with experience in Data Analytics, Business Intelligence, Statistics, or Predictive Modeling who are passionate about gaming and data-driven decision-making.

As a Game Data Analyst, you will work closely with game designers, product teams, and LiveOps teams to analyze player behavior, measure game performance, and generate insights that help improve player engagement, retention, and revenue. This role offers an exciting opportunity to combine analytics with the fast-growing gaming industry and directly influence how millions of players experience mobile games.

Company: 99Games
Role: Analyst – Game Data
Location: Udupi, Karnataka
Job Type: Full-Time
Experience: 1+ Years
Industry: Mobile Gaming

𝐀𝐛𝐨𝐮𝐭 𝟗𝟗𝐆𝐚𝐦𝐞𝐬

99Games is one of India's leading mobile game development studios focused on creating engaging free-to-play gaming experiences. The company has developed and published several successful titles, including popular games such as Dhoom:3 The Game, Sultan: The Game, and the globally recognized cooking simulation game Star Chef.

With more than 22 published game titles and over 100 million downloads worldwide, 99Games continues to build games that bring players together and create long-lasting gaming communities. Backed by an experienced leadership team and years of industry expertise, the company is recognized as a respected innovator in the gaming ecosystem.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As an Analyst – Game Data, you will analyze large volumes of player and game-related data to support strategic decisions across product development, marketing, monetization, and live game operations.

You will help teams understand player behavior, evaluate game performance, measure business metrics, and identify opportunities to improve engagement and revenue. The role combines analytics, statistics, business understanding, and gaming knowledge to drive meaningful outcomes.

Roles & Responsibilities

• Analyze player behavior data to understand how users interact with games and identify opportunities to improve engagement and retention.
• Work closely with game design, product, and LiveOps teams to support data-driven decision-making across various game initiatives.
• Study player acquisition, retention, churn, lifetime value (LTV), monetization, and cohort performance to evaluate business performance.
• Develop reports and dashboards that help teams track key game metrics and monitor overall player activity.
• Build and improve LTV and revenue forecasting models to support business planning and growth strategies.
• Analyze A/B testing results to measure the impact of new features, events, promotions, and gameplay changes.
• Create predictive models that help forecast player behavior, spending patterns, and future engagement trends.
• Monitor virtual economy performance and identify opportunities to improve game balance and monetization strategies.
• Present analytical findings and recommendations to stakeholders and senior management in a simple and actionable manner.
• Collaborate with cross-functional teams to solve business challenges using data and analytical insights.
• Stay updated with gaming industry trends, player preferences, and emerging analytics techniques.

Qualifications & Eligibility

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, Analytics, Computer Science, or related fields.
• MBA or MSc in a quantitative discipline is an added advantage.
• 1+ years of experience in Data Analytics, Business Intelligence, or Predictive Modeling.
• Strong interest in mobile casual games and gaming analytics.

Skills Required

• Strong knowledge of Data Analytics and Business Intelligence concepts.
• Experience working with SQL for data extraction and analysis.
• Knowledge of scripting languages used for data analysis and automation.
• Strong understanding of statistics and quantitative analysis.
• Ability to interpret large datasets and generate actionable insights.
• Experience with predictive modeling and forecasting techniques.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to explain complex data findings in a simple and understandable manner.
• Good organizational skills and ability to manage multiple priorities.

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

• Experience working in the gaming industry or mobile gaming ecosystem.
• Familiarity with player retention, monetization, and virtual economy analysis.
• Knowledge of A/B testing methodologies and experimentation frameworks.
• Experience with visualization and reporting tools.
• Understanding of player psychology and gaming engagement metrics.
• Exposure to machine learning or advanced analytics techniques.

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝟗𝟗𝐆𝐚𝐦𝐞𝐬?

• Work on games played by millions of users worldwide.
• Gain hands-on experience analyzing real player behavior and game performance data.
• Collaborate with game designers, product managers, and LiveOps teams.
• Contribute directly to player engagement, retention, and monetization strategies.
• Exposure to advanced analytics, experimentation, and predictive modeling.
• Opportunity to build a rewarding career at the intersection of gaming and data science.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

A Game Data Analyst role provides excellent opportunities to build expertise in gaming analytics, business intelligence, and data science.

Potential career paths include:

• Senior Data Analyst
• Game Analyst
• Product Analyst
• Business Intelligence Analyst
• Data Scientist
• Growth Analyst
• Monetization Analyst
• LiveOps Analyst
• Analytics Manager
• Data Science Lead

With experience, professionals can move into advanced analytics, product strategy, monetization, player insights, and leadership roles within the gaming and technology industries.

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

• Data professionals who enjoy working with numbers and solving business problems.
• Candidates interested in the gaming industry and player behavior analytics.
• Analysts with strong SQL, statistics, and analytical skills.
• Professionals looking to build a career in gaming, analytics, or data science.
• Individuals who enjoy turning data into actionable business insights.