About Hike :

Hike is a company focused on revolutionizing the gaming sector in India, creating new opportunities for economic growth. Committed to building a gaming ecosystem where players can not only enjoy games but also earn and have ownership in the networks they help establish. Hike values core principles like excellence, teamwork, customer satisfaction, innovation, data-driven decision-making, and more. Their goal is to transform the gaming experience and promote data-driven experimentation in the industry.

Position Overview :

Job Tittle : Product Analyst (Full Time, Remote)

Location: Remote/Delhi, India

Type: Full-time

Description :

Skills & Experience :

• Bachelor’s degree in Math, Statistics, Computer Science, Engineering, or a related technical field is a must; Advanced degrees are preferred.
• Strong understanding of mobile and Internet products, growth strategies, and business dynamics.
• 1-2 years of experience in quantitative analysis, preferably in an Internet or technology company.
• Proficiency in SQL and Python.
• Comfort with manipulating, transforming, and analyzing complex, high-volume data from various sources. Experience with BigQuery is a plus.
• Experience in reporting and dashboard creation with tools like Tableau, Google Analytics, etc.
• Solid grasp of statistical analysis, data warehousing, and data modeling.
• Proven ability to work in a fast-paced environment, meet changing deadlines, and manage multiple simultaneous projects.
• Experience in Acquisition Marketing.
• Excellent organizational, communication, presentation, and interpersonal skills.
• Ability to thrive in both individual and team settings.

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Responsibilities 📲

• Strategy: Translate business questions into data analysis, providing data-driven insights and recommendations.
• Operations: Create visual representations of quantitative data, automate reports, and prototype dashboards for scalable insights. Solve analytical needs.
• Collaboration: Work with cross-functional partners to understand their needs, conduct end-to-end analysis, and deliver findings and presentations.
• Experimentation: Promote data-driven experimentation to enhance product offerings and document results.

How to apply : 

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