peel-works - Senior Analyst - Data Analytics

Responsibilities

The main tasks and duties would include:

- Facilitate business growth through analytics recommendations (pricing, supply optimization, assortment placement related analytics) for one of our key business verticals which is a B2B market place app-based business solution

- Be accountable to business heads for regular and timely delivery of business analysis and recommendations

- Identify ways to improve productivity as well as app/product development through driving process automation by coordinating with our product manager and technology(product development) team.

- Some of the daily analytics modules would involve Prediction of sales targets, tracking or performance against set targets, Identifying triggers of growth (like lines per order/ active user count/average order value/frequency of order, etc), provide insights on micro-market level improvement areas, logistics /delivery route optimization modeling, price & promotion effectiveness modeling, cross product affinities for bundled promotions, etc.

- Integrating huge volumes of real-time data Viz (Store-customer transactions data, Supply Chain Data, Pricing & Inventory data, Google analytics reads, Customer feedback/satisfaction data,etc.) to drive end-to-end business solution catering to optimization at inventory procurement as well as last mile sales delivery level.

- Be an integral part of brainstorming and business goal meetings with the senior leadership team, to present recommendations for future revenue milestone achievement.

Requirements

We are looking for:

- Self-driven individuals who want to thrive in a rapidly growing environment, and be a part of new innovations in the market place

- Graduate in science/engineering/IT stream

- E-commerce Or FMCG Or Supply Chain Analytics background is absolutely mandatory

- 2-4 years of proven working experience as an analyst

- Should have Strong SQL experience; Advanced Excel-based dashboards exposure, hands-on with Tableau, Spot fire, etc.

- R /python experience is mandatory as the datasets run in terabytes

- Should have worked on business cases involving Logistic regression, Sales Forecasting, Text mining / NLP, Decision Trees - Random forest, Clustering, Price Modeling, Supply Chain Optimization, Google Analytics

- Ability to quickly learn and implement new tools and techniques