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Strong employer brand, common entry-level data role, and metro Hyderabad increase applicant competition.
Core data science skills are highly transferable across industries.
Explicit 0-3 years plus SQL/Python and degree requirements create moderate screening.
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Perform exploratory data analysis and apply statistical and machine learning techniques to extract actionable insights from player, product, and business datasets.
Develop reports, dashboards, and analytical tools to communicate insights to technical and non-technical stakeholders.
Collaborate across teams to support data-driven decision making including experimentation, forecasting, predictive modeling, and data product development.
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or related quantitative discipline.
0-3 years of experience in data science, analytics, business intelligence, or related quantitative field.
Proficiency with SQL and experience in Python, R, or similar analytical programming languages.
Foundational understanding of statistics, hypothesis testing, probability, and data analysis techniques.
Experience working with multi-source structured and unstructured datasets and familiar with data visualization tools like Tableau or Power BI.
Comfortable translating business questions into analytical approaches and measurable outcomes; capable of communicating findings clearly across technical and non-technical stakeholders.
Exposure to experimentation, A/B testing, cloud data platforms (Snowflake, AWS, Azure, GCP) and interest in gaming analytics or digital product analytics preferred but not mandatory.