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Product Analyst - 2

Posted 8 Days Ago
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In-Office
Bellandur, Bengaluru Urban, Karnataka, IND
Mid level
In-Office
Bellandur, Bengaluru Urban, Karnataka, IND
Mid level
The role involves analyzing large data sets to solve business problems, improving data processes, and delivering insights on product performance and KPIs. Requires collaboration with cross-functional teams and expertise in various data tools.
The summary above was generated by AI

What makes you a great fit:

Must have:

  • 3+ yrs of work experience as a Data Analyst/Product Analyst.

  • Hands-on experience with SQL.

  • Hands-on experience with any data Visualisation tool (Tableau, Looker, Quicksight, etc).

  • Ability to drive funnel analytics on B2B and B2C products.

  • Ability to own a business problem and provide an exhaustive solution using data.

Good to have:

  • Hands-on experience in Python data crunching.

  • Prior experience in B2B SaaS/Fintech industry.

What you will do:

  • Work with large, complex data sets to solve high impact business problems.

  • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, and if required, re-designing infrastructure for greater scalability.

  • You will work with Business, Product and Data Engineering teams for continuous improvement of data accuracy, data availability and processes.

  • Independently own end to end tasks and ensure timely delivery of work and coordinate with stakeholders.

  • Set high standards in defining scope of work, prioritisation, timelines and project delivery.

  • Product Discovery- Hypothesis driven deep dives to identify product loopholes and highlight solutions to impact business.

  • Solution Confidence- Product experimentation and data analysis to understand the impact.

  • Product and features performance - End to end product understanding and funnel analysis to understand how a product or feature is performing in terms of adoption, engagement, user experience, etc

  • Work with other analysts to enable KPI reporting through visually speaking dashboards.

  • Self-Serve Product Analytics - come up with a sepf-served solution for different product and business stakeholders to continuously monitor the health of the product and different important KPIs on a daily basis.

 

 

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