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.