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Senior Data Analyst - SQL / Python

Senior Data Analyst - SQL / Python

ENTER RecruitmentBangalore
1 day ago
Job description

Description :

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.

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.

The core requirements for the job include the following :

Analytics and 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.
  • Stakeholder Management and 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.
  • Engineering and 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.
  • Data Visualization and 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
  • Action-Oriented, Ownership-Driven, and 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.
  • Preferred Qualifications :

  • 4-6 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, and Python.
  • Bachelor's or Master's degree in Engineering, Statistics, Mathematics, Economics, or a 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.
  • (ref : hirist.tech)

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