S&OP Analyst

About Furlenco

Furlenco is a furniture company that enables urban Indians to live better by offering award-winning furniture and home decor for rent, buy, sell, and buy back. Their furniture is designed in-house, and they also provide decor, accessories, and appliances. Furlenco has launched offline stores for a complete home furnishing experience.

About the Role

Furlenco's S&OP & Asset Control team manages inventory planning, asset utilization, and inter-warehouse stock balancing across India. The team aims to minimize warehouse stock and maximize customer stock. This role will support vendor dispatch allocation, inventory rebalancing, out-of-stock analysis, and contribute to the team's projections and planning dashboards.

Key Responsibilities

• 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.

Requirements & Tech Stack

• 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.
• Google Sheets/Apps Script command center
• Databricks/Streamlit dashboards
• Excel/Sheets

Qualifications

• B.Tech degree (any branch).
• Fresher or up to ~3 years of experience.

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.