Sr Product Analyst

or

Roles and Responsibilities

We are seeking a talented Senior Product Analyst to join The Jar Team. If you are intellectually curious, if you eat/sleep/drink data and are committed to translating data to insights & insights to actionable work items, want new challenges daily and impact the lives of hundreds of thousands of users, this is the role for you!










Jar is a daily gold savings app that lets users save money by taking spare change from their online transactions and investing it in digital gold automatically. Jar is the first Made in India app to come up with an innovative solution to save money daily and invest automatically in digital gold for the best gold rate. We want to help millions of Indians rediscover the undeniable, cumulative advantages of saving every single day and are backed by a clutch of high-profile investors, including Arkam Ventures, Tribe Capital, WEH Ventures, and angels including Kunal Shah (founder of CRED), Shaan Puri (formerly with Twitch), Ali Moiz (founder of Stonks), Howard Lindzon (founder of Social Leverage), Vivekananda Hallekere (co-founder of Bounce), Alvin Tse (of Xiaomi) and Kunal Khattar (managing partner at AdvantEdge)










You’ll be responsible for:





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  Deliver insight and analysis using statistical tools, data visualization, and business use cases with the Product and Business teams
  
  
  


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  Understanding of tools like product analytics and engagement platforms like Clevertap, Amplitude, Metabase etc
  
  
  


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  Conduct analysis to determine new project pilot settings, new features, user behaviour, and in-app behaviour
  
  
  


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  Build & maintain dashboards for tracking business performance and product adoption
  
  
  


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  Assist Product Managers and Business teams in creating data-backed decisions
  
  
  


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  Collaborate with Consumer Platform's Product and Business teams in identifying new avenues for growth and opportunities, and back their product delivery with experimentation
  
  
  


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  Build first cut Machine Learning models based on product requirements
  
  
  


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  Automate data extraction by creating de-normalized tables
  
  
  





What You Will Need





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  1 - 4 years of work experience dealing with product analytics, data, and statistics
  
  
  


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  Expertise in SQL with experience using data visualization and dashboarding tools (e.g. Tableau, Metabase, Google Data Studio, Clevertap, Python)
  
  
  


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  Experience in Machine Learning technologies (i.e. forecasting, clustering, statistical significance test, predictive modeling, and text mining)
  
  
  


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  Experience in delivering products as end-to-end data solutions (from data pipelining to analysis, presenting, and scalable adaption)
  
  
  


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  A strong business sense with the ability to transform ambiguous business and product issues into well-scoped, impactful analysis
  
  
  


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  Strong ability to design and conduct simple experiments
  
  
  


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  A goal-oriented, critical-thinking mindset with the ability to work equally well within a team and independently with minimal supervision