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Data Analyst -3
| Engineering | Full-time
, ,What makes you a great fit:
Must have:
Must have:
- 6+ 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:
- 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.
- Goals to KPI translations- work with product managers to break down overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs.
- Work with other analysts to enable KPI reporting through visually speaking dashboards.
- Experimentation and product growth - Use data to come up with new avenues to improve user experience, product adoption and eventually aid product growth.
- 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.
- 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.