S&OP Analyst

About Furlenco

Furlenco is a different furniture company. We enable the urban Indian to live better today in their homes, by giving them award-winning furniture and home decor with a basket of access to rent, buy, sell and buy back.

All of our furniture is designed in-house by experts. We don’t just give furniture. We provide decor, accessories and appliances as well. We have launched our first ever offline stores so that one can furnish their entire home, room or corner without traversing multiple stores or websites !

About the Role :

Furlenco's S&OP & Asset Control team manages inventory planning, asset utilization, and inter-warehouse stock balancing across cities pan-India, with a mandate to minimize stock held at warehouses and maximize stock at the customer's place. This role will support vendor dispatch allocation, inventory rebalancing across fast/slow/non-moving categories, out-of-stock (OOS) analysis, and the team's projections and planning dashboards.

What You'll Do :

• Support daily/weekly stock allocation decisions for vendor dispatch based on demand and warehouse availability

• Help classify and rebalance inventory across warehouses by fast-moving, slow-moving, and non moving categories

• Assist in maintaining and improving planning dashboards (Google Sheets/Apps Script command center; Databricks/Streamlit dashboards)

• Support out-of-stock (OOS) analysis and data reconciliation across city-SKU records

• Contribute to early-stage AI/ML forecasting initiatives (demand forecasting, hub-based routing optimization)

• Prepare reports, trackers, and periodic review decks in Excel/Sheets

Must-Have Qualifications :

• B.Tech degree (any branch); fresher or up to ~3 year experience

• Strong hands-on Excel skills - pivot tables, lookups, at least basic formulas/macros

• Working knowledge of statistics - descriptive stats, basic forecasting/regression concepts

• Exposure to AI/ML - coursework, personal projects, or certifications count; professional experience not required.

• At least one correlated project (supply chain, forecasting, data analytics, or optimization) academic or personal

Good to Have (Not Mandatory for Freshers)

• Basic SQL (queries, joins, aggregations)

• Familiarity with Python (pandas) for data manipulation

• Exposure to Google Apps Script or dashboarding tools

• Interest in the logistics/supply chain domain

What Will Make a Candidate Stand Out

• Demonstrated curiosity with data - a personal project, Kaggle competition, or dissertation involving forecasting/optimization

• Ability to clearly explain a project's methodology and trade-offs, not just the output.