Senior Analyst - Supply Chain

Nutrabay · Gurgaon

  • Experience3–5 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted18 Sept 2026

About Nutrabay

Nutrabay is hiring in Gurgaon in consumer goods. This role looks for around 3+ years of experience.

Skills

  • D2C / E-commerce
  • Supply Chain & Logistics Analytics
  • COD & RTO Risk Analysis
  • Data Modelling & SQL
  • Algorithmic Product Thinking
  • Customer Support Ops Analytics
  • Vendor Performance Analytics
  • Structured Project & Impact Tracking
  • Microsoft Excel
  • Google Sheets
  • Metabase
  • Power BI
  • AI-Assisted Building

The role

A supply chain analyst at a health and nutrition e-commerce company builds supply chain analytics and inventory optimization models, evaluates COD and RTO risk, and prototypes algorithmic products with SQL and Python. The role also develops vendor performance analytics and customer support operations analytics for fulfillment and logistics decisions.

Full job description

Job Description - Senior Analyst - Supply Chain

You should apply if you have:

Prior D2C or e-commerce background — you already understand the complexity of order-to-delivery systems, multi-node fulfilment, and the operational quirks of a high-velocity consumer business, so you're not learning the domain from scratch

A sharp analytical mind with genuine curiosity about how logistics networks, warehouses, and support operations actually work end to end

Strong quantitative comfort — you can model fulfilment and logistics allocation, inventory positioning, vendor performance, and RTO/COD risk with real rigour

A builder's instinct — you don't stop at a dashboard; you want to prototype the algorithmic product (an allocation engine, a fraud score, a routing rule) that fixes the problem programmatically

An AI-first workflow — you use LLMs and vibe coding tools to build working prototypes, not just slides

Comfort operating across multiple functions at once — warehouse, logistics, customer support, production, and procurement all draw on your intelligence layer

High ownership through to closure — you don't stop at 'I shared the analysis'; you track whether the fix actually moved the metric

Ownership-driven attitude — you investigate problems no one assigned to you and push recommendations through to adoption

You should not apply if you:

Don't have prior D2C or e-commerce exposure — this role assumes you already understand that operating environment; it isn't a place to learn it from zero

Are looking to run day-to-day warehouse or logistics operations — this is an intelligence and analytics role that informs ops, not an ops role itself

Need a long ramp time — we expect you to get conversant across WH, logistics, CS, production, and procurement context quickly

Are uncomfortable holding several functions in your head at once and prioritizing across them

See your job as ending at a report — here the goal is often a working algorithmic product, not just a recommendation

Consider your job done once a dashboard ships — you need to keep watching it and flag when something breaks

Skills Required:

Must-Have

D2C / E-commerce Background: hands-on experience in a D2C, quick-commerce, or high-velocity consumer business — this is non-negotiable, since it's what lets you understand the complexity of our systems from day one

Supply Chain & Logistics Analytics: reasoning about how orders should be allocated across fulfilment and logistics partners, and how a fulfilment network should evolve as the business scales

COD & RTO Risk Analysis: analysing order and delivery patterns to flag fraud and RTO risk

Data Modelling & SQL: comfortable querying and modelling on a warehouse (Redshift or similar) to build data cuts for multiple functions

Algorithmic Product Thinking: able to scope and prototype rule-based or lightweight algorithmic tools that automate a decision (allocation, routing, cancellation prediction) rather than just reporting on it

Customer Support Ops Analytics: building scorecards for support quality/efficiency and identifying automation opportunities, including voice agent/IVR use cases

Vendor Performance Analytics: analysing vendor-level data (fill rate, quality, lead time, cost) to help procurement decide when to de-risk away from a vendor or push for more utilization from one

Structured Project & Impact Tracking: taking a finding from problem statement and baseline through to a tracked project with a target KPI, and validating after the fact whether it actually moved the number

Analytics Tools: Excel/Google Sheets for modelling and a BI tool (Metabase/Power BI) for reporting

AI-Assisted Building: using LLMs and vibe coding tools to prototype logistics and CS intelligence tools quickly

Good to Have

Python for scripting data pulls, automations, or lightweight algorithmic prototypes

Prior exposure to COD/RTO fraud protection systems

Familiarity with WMS/OMS platforms or courier aggregators

Exposure to voice agent/IVR or CS automation platforms

Basic optimization or linear-programming concepts for allocation/inventory problems

What will you do?

Fulfilment & Logistics Allocation Intelligence

Build data-driven logic for how orders should be allocated across fulfilment locations and courier partners

Assess how the fulfilment network should evolve as order volumes and geographies grow, and where new locations would help

This kind of business case — going from a raw operational question to a data-backed algorithm that runs the decision — is representative of the business cases and product algorithms you'll own end to end in this role

Inventory Optimization

Build models to project stock requirements at the fulfilment-location level across the network

Minimize stockouts and overstock by improving how inventory is positioned across locations

COD & RTO Fraud Protection

Analyse COD order patterns to identify at-risk pin codes, customers, and order profiles

Build and monitor fraud/risk scoring systems that flag orders before dispatch

Vendor Intelligence for Procurement

Analyse vendor-level performance — fill rate, quality, lead time, cost — to give procurement a clear, data-backed view of each vendor

Help procurement decide when to de-risk away from a vendor versus when to push for greater utilization from one

Customer Support Intelligence

Build scorecards for CS quality and efficiency across support channels

Identify automation opportunities, including voice agents, and monitor cancellation drivers and reduction levers

AI & Algorithmic Products for Supply Chain

Partner with product and engineering to scope and prototype algorithmic tools that automate fulfilment, routing, and cancellation-related decisions

Push prototypes from spreadsheet logic to production-ready tools where the impact justifies it

Own Supply Chain & Ops Reporting

Be the single go-to person for all supply chain and operations reporting — fulfilment, logistics, warehouse, inventory, and CS metrics

Build and maintain the dashboards and MIS that warehouse, logistics, CS, and production teams rely on day-to-day

Make sure every function has one consistent, trusted source of truth for its numbers instead of everyone pulling their own

Proactive Monitoring & Early-Warning

Closely monitor supply chain and ops KPIs so you're the first to know when something breaks — a fulfilment delay, a courier SLA slip, a spike in cancellations or RTO

Build early-warning indicators that catch a problem before it snowballs into a stakeholder escalation

Flag anomalies proactively and get the right team looking at it immediately, rather than waiting to be asked

Track Projects Through to Impact

For every recommendation you drive, define the baseline, target KPI, owner, and timeline upfront

Follow through post-implementation to confirm whether the change actually moved the metric, not just that it shipped

Maintain visibility of open supply chain and ops projects — status, risk, and expected versus actual impact

Cross-Functional Data Cuts

Act as the single source of intelligence for warehouse, logistics, CS, production, and procurement teams

Give each function the right data cuts, dashboards, and recommendations to act on

Reporting & Stakeholder Communication

Present supply chain health, fraud trends, vendor risk, and automation impact to founders and functional heads

Translate complex operational data into clear, actionable narratives

Work Experience:

3–5 years of experience, with a D2C/e-commerce background required

Working days:

Monday – Friday

Location:

Golf Course Ext. Road, Gurugram, Haryana (Work from Office)

Perks:

• Friendly atmosphere

• High learning & personal growth opportunity

• Flexible timings

• Diverse work environment

Why Nutrabay:

We believe in an open, intellectually honest culture where everyone is given the autonomy to contribute and do their life's best work. As part of the dynamic team at Nutrabay, you will have a chance to learn new things, solve new problems, build your competence, and be a part of an innovative marketing-and-tech startup that's revolutionising the health industry.

Working with Nutrabay can be fun and a place of unique growth opportunities. Here you will learn how to maximise the potential of your available resources. You will get the opportunity to do work that helps you master a variety of transferable skills, or skills that are relevant across roles and departments. You will feel appreciated and valued for the work you deliver. We are creating a unique company culture that embodies respect and honesty, which will create more loyal employees than a company that simply shells out cash. We trust our employees and their voice and ask for their opinions on important business issues.

About Nutrabay:

Nutrabay is the largest health & nutrition store in India. Our vision is to keep growing, have a sustainable business model, and continue to be the market leader in this segment by launching many innovative products. We are proud to have served over 1 million customers until now, and our family is constantly growing.

We have built a complex and high-converting eCommerce system, and our monthly traffic has grown to a million. We are looking to build a visionary and agile team to help fuel our growth and contribute to further advancing the continuously evolving product.

Funding:

We raised $5 million in a Series A funding.