Analyst - Retail Analytics - FMCG/Retail

Job Description :

- The scope of the role on the retail front includes (but not limited to) :

- Monitor store category sales mix

- Supervise physical inventory and identify inventory allocation strategies (planogramming)

- Identify trends in sales and monitoring the timing and scope of seasonal changes

- Maintain desired inventory levels and an assortment

- Help identify new product selection for the store to achieve desired outcomes

- Schedule deliveries and oversee the shipping, receiving and warehousing of merchandise

- Develop supply strategies that will minimize stock-outs while maximizing inventory turns.

- Provide guidance about selling patterns, the timing of future purchases, and purchasing philosophies and minimize pilferage and wastage

- Work, analyze, evaluate, and generate insights on how the users are interacting with our products and factor that into our pricing/merchandising models.

- Design experiments to answer targeted questions. Conduct exploratory data analysis in high dimensions.

- Build business cases and models to quantify new opportunities, using data and solid business judgment

- Organize and present data on Retail Metrics to drive profitability, sales, customer experience and other such retail objectives

- Coordinating with internal and external stakeholders and sharing actionable insights to drive outcomes

Requirements :

- We are looking for leaders at all levels who have the hunger to work with some of the smartest people, who are driven by a sense of purpose, and who wish to leave a legacy in their respective domains and among their professional fraternity.

- We are not just building apps or tech platforms, but rather building distributed ecosystems connected through intelligent technology that can change the face of the food and grocery consumption pipelines in India, forever, for the better.

An ideal candidate for this role is someone who has :

- 1-3 years of professional experience in an analytical role.

- Experience in Consumer-facing sectors - Retail/ FMCG Preferred.

- An undergraduate/post-graduate degree from a Tier-1 college. A bachelor's degree in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc from IIT/NIT/BITS/IISc is preferred.

- The scope of the role on the retail front includes (but not limited to) :

1. Monitor store category sales mix

2. Supervise physical inventory and identify inventory allocation strategies (planogramming)

3. Identify trends in sales and monitoring the timing and scope of seasonal changes

4. Maintain desired inventory levels and an assortment

5. Help identify new product selection for the store to achieve desired outcomes

6. Schedule deliveries and oversee the shipping, receiving and warehousing of merchandise

7. Develop supply strategies that will minimize stock-outs while maximizing inventory turns.

8. Provide guidance about selling patterns, the timing of future purchases, and purchasing philosophies and minimize pilferage and wastage

9. Work, analyze, evaluate, and generate insights on how the users are interacting with our products and factor that into our pricing/merchandising models.

10. Design experiments to answer targeted questions. Conduct exploratory data analysis in high dimensions.

11. Build business cases and models to quantify new opportunities, using data and solid business judgment

12. Organize and present data on Retail Metrics to drive profitability, sales, customer experience and other such retail objectives

- Coordinating with internal and external stakeholders and sharing actionable insights to drive outcomes

If you :

- Can apply first principles thinking to solve problems

- Can envision a great future that you want to create

- Have the fire in your belly to get out of your cube and do something about your vision and passion

- Want to work with some really smart people, and still raise the bar for all of us

- Can have fun and help your colleagues have fun doing all of the above.

- We would like to hear from candidates who have the hunger to impact real lives and who can match our high bar on Core Values that we live by.

- Experience working with large data sets. Thorough knowledge of SQL, and top data mining softwares+data viz tools like Tableau software.

- Very hands-on experience in Python/R to mine large scale data is preferred.

- Ability to draw conclusions from data and recommend actions. Willingness to learn new techniques.

- Excellent written and verbal presentation skills.

- High energy and a desire to work in a results-oriented, fast growth cross-functional environment.

- A team player with a great attitude and passion to deliver results.