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Manager / Senior Manager – Data Analytics

Manager / Senior Manager – Data Analytics

ZupeeGurugram, Haryana, India
1 day ago
Job description

ABOUT THE JOB

About Zupee

Zupee is India’s fastest growing Technology backed Behavioral Science company. We are innovating Skill-Based Gaming with a mission to become the most trusted and responsible entertainment company in the world. We have been constantly focusing on innovation of indigenous games to entertain the mass.

Our strategy is to invest in our people & user experience to drive profitable growth and become the market leader in our space. We have been experiencing phenomenal growth since inception and running profitable at EBT level since Q3, 2020. We have closed Series B funding at $102 million, at a valuation $600 million.

The company also announced a partnership with Reliance Jio Platforms, post which Zupee games will distribute its content across all customers using Jio phones. The partnership now gives Zupee the biggest reach of all gaming companies in India, transforming it from a fast-growing startup to a firm contender for the biggest gaming studio in India.

Role : Manager / Senior Manager – Data Analytics

Responsibilities :

  • Lead and mentor a team of Data analysts.
  • Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed.
  • Develop compelling stories with business insights, focusing on the strategic goals of the organization.
  • Monitor and forecast key business metrics.
  • Identify the right metrics to track progress against a given business goal.
  • Design, run and measure experiments in A / B Framework to test business hypotheses.
  • Expedite root cause analyses / insight generation against a given recurring use case through automation / self-serve platforms.

Requirements :

  • 5-8 years of experience in analytics / data science or a related field.
  • Bachelor's and / or Master’s degree in Business Administration, Engineering, Economics,Finance, Mathematics, Statistics, or a related quantitative field.
  • Hands-on experience with data manipulation and data visualization tools like SQL, Python,Excel, Tableau etc.
  • Ability to directly implement solutions and see them in action; critical partner for all decision-making in the organization.
  • Knowledge of basic statistical measurement frameworks.
  • Creative and structured thinking to solve real-world problems.
  • Exposure to challenging problems across multiple domains.
  • Interact with people from various backgrounds – Marketing, Product, and Finance.
  • Comfortable in a high-energy, fast-paced environment.
  • Proficient verbal and written communication skills.
  • Detail-oriented with the ability to self-direct work in an unstructured environment.
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