- 3-6 years of experience as a Data Analyst

- Strong expertise in Python, SQL and Excel

- Knowledge of basic statistics

- In-depth knowledge of at least a few of the retail demand and fulfilment processes like inventory allocation & replenishment, merchandising buying, product attribution, pricing, promotions, and clearance activities

- Knowledge of Github and creation of APIs is an added advantage

- Ability to convert business use cases to product modules

- Strong understanding of the fundamentals of business and various processes

- Strong verbal communication, written communication

- Strong stakeholder management

- Ability to perform root cause analysis to get to the bottom of the issue

- Ability to do abstract problem solving and ideation

- Ability to perform under pressure and multitask

- Knowledge of database management and detection, reporting, analysis, and resolution of issues

- Prior experience working on a product will be an added advantage

- Bachelor's degree in engineering with strong academic

We offer :

- An opportunity to be part of some of the best enterprise SaaS products to be built

- Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions

- A flat, collegial work environment, with a work hard, play hard attitude

- A platform for rapid growth if you are willing to try new things without fear of failure

- Remuneration with best-in-class industry standards with generous health insurance : Python , SQL, Excel, Statistics, ML