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Product Analyst (Full Time, Remote)

Posted 11 days agoViewed

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๐Ÿ’Ž Seniority level: Junior, 2+ years

๐Ÿ“ Location: Delhi, India

๐Ÿ” Industry: Technology

๐Ÿข Company: Hike๐Ÿ‘ฅ 101-250๐Ÿ’ฐ almost 3 years ago๐Ÿซ‚ Last layoff over 1 year agoInformation ServicesGamingService IndustryWeb3Casual GamesSocial Media

โณ Experience: 2+ years

๐Ÿช„ Skills: PythonSQLData AnalysisData MiningTableauProduct AnalyticsAnalytical SkillsProblem SolvingData visualizationData modelingData analyticsA/B testing

Requirements:
  • 2+ years of experience performing quantitative analysis, preferably for an Internet or technology company
  • Bachelorโ€™s degree in Math, Statistics, Comp Science, Engineering, or other technical field required; advanced degrees are strongly preferred
  • Hands-on with Python and SQL
  • Comfortable manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Excellent data visualization capabilities, coupled with a holistic sense of interpreting patterns in data and producing meaningful insights
  • Solid foundations in statistics and data modeling, as well as a hunger to learn and create impact with these skills
  • Familiar with BI tools (e.g. Tableau)
  • Excellent data analysis and problem-solving skills
  • Proven ability to work in a fast-paced environment, meet changing deadlines and priorities on multiple simultaneous projects
  • Excellent organizational, communication, presentation and interpersonal skills
  • Enjoy working in both individual and team settings
Responsibilities:
  • Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making.
  • Conduct competitive analysis to identify strengths, weaknesses, and opportunities in the market to help inform our strategy.
  • Own and evangelize data-driven experimentation in the team to improve the product offerings and document it.
  • Enable reviews, deep dives and analyses through the effective use of data and communicate and report insights and recommendations.
  • Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
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