Salary offered: upto 7.5 LPA
peel-works is a cutting-edge technology & analytics company which is transforming how companies reach out to their point of sale.
We are among 15 of the world's fastest growing enterprise start-ups still under the radar (Business Insider); top 10 emerging analytics start-ups to watch for in 2015 (Analytics Magazine); & India's coolest start-ups (Business Today, 2013).
Recently, we have been featured as one of the top 17 Analytics start-ups to watch out for in 2017 (The Times of India)
Role:
- Client on-site role for the position of Senior Analyst who would be a core part of peel-works and the client's Analytics division
- Our client is one of the largest global FMCG companies and a leader in pioneering cutting edge market place strategies across its portfolio of flagship brands.
Reporting:
- This role would report directly into the Analytics Project Delivery Lead assigned to this project, with an indirect reporting and accountability to the client's Analytics Division SPOC.
Core Responsibilities
- Efficiently work on assigned projects and ad-hoc analysis, ensuring timely and accurate delivery
- Interact and co-ordinate closely with the client's internal functional stakeholders as well as peel-works Analytics experts to design analytics models that will answer the client's business requirement
- Understand, mine, integrate multiple datasets Viz client's internal sales data, peel-works data as well as other associated data sources as mutually aligned between peel-works and the client
- Create statistical models(R or python) like clustering, segmentation, market basket/association rule principles, factor analysis, etc which will help the client drive informed business decisions.
Requirements
We are looking for:
- Self-driven individuals who want to thrive in a rapidly growing environment and team
- 2-4 years of proven working experience as an analyst
- At least 1 year of hard core R or python experience is mandatory
- Hands-on experience of any of the BI/reporting tools viz Tableau, Power BI etc. would be preferred
- Team-oriented and collaborative mind-set would be required while working with cross functional teams
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