Manager/Senior Manager – Data Analytics
2 weeks ago
About The Job:
Zupee is a rapidly growing company that blends technology with Behavioral Science in India. Our goal is to stand out as a reliable and conscientious entertainment organization globally. We are dedicated to developing original games to captivate audiences.
Our primary focus is on uplifting our team and enhancing user satisfaction to foster sustainable growth and secure a leading position in our sector. Since our establishment, we have witnessed remarkable expansion and have maintained profitability, evidenced by our Series B funding of $102 million, valuing the company at $600 million.
Recently, we forged a partnership with Reliance Jio Platforms, expanding our game distribution to all Jio phone users. This alliance has catapulted Zupee to the forefront of the gaming industry in India, positioning us as a prominent player in the market.
Role:
- Manager/Senior Manager – Data Analytics
Responsibilities:
- Lead and guide a team of Data analysts.
- Utilize extensive data sets to address business challenges, employing advanced analytical techniques as necessary.
- Create engaging narratives with business insights that align with the organization's strategic objectives.
- Track and project crucial business metrics.
- Pinpoint relevant metrics to assess progress toward specific business objectives.
- Conduct experiments using an A/B Framework to validate business assumptions.
- Accelerate root cause analyses and generate insights via automation/self-serving platforms for recurring scenarios.
Requirements:
- 5-8 years of expertise in analytics/data science or related fields.
- Bachelor's and/or Master's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or another quantitative discipline.
- Practical experience with data manipulation and visualization tools such as SQL, Python, Excel, and Tableau.
- Capable of implementing solutions directly and observing their efficacy; a key collaborator in organizational decision-making processes.
- Familiarity with fundamental statistical measurement frameworks.
- Innovative and methodical thinking approach to tackle real-world problems.
- Exposure to diverse challenges across various domains.
- Engage with individuals from different backgrounds including Marketing, Product, and Finance.
- Adaptable to dynamic, high-paced environments.
- Strong verbal and written communication skills.
- Attentive to details and able to autonomously manage tasks in fluid settings.
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