Analyst - D2C Merchandising

Nutrabay; Gurugram District; On-site; INR 700,000 - 900,000; Full time

Benefits offered by this job

Friendly atmosphere

High learning opportunity

Flexible timings

Diverse work environment

Job summary

Nutrabay is looking for an Analyst - D2C Merchandising to optimize the online shopping experience. You will own the D2C storefront, make data-driven merchandising recommendations, and conduct A/B tests. Ideal candidates have a strong analytical background and experience with tools like Hotjar and GA4.

This role offers a chance for high learning and personal growth in a supportive environment.

Qualifications

• 2-4 years of experience in eCommerce or D2C merchandising.
• Strong analytical mind with proficiency in A/B testing methodology.
• Ability to analyze product and funnel analytics.

Responsibilities

• Decide the placement of every widget on homepage and product pages.
• Design and run structured A/B tests on various pages.
• Identify and prioritize potential funnel leakages.

Skills

A/B Testing & Experimentation Design

Session Recording & Behavioural Resear

Product/Funnel Analytics

Qualitative Research

Merchandizing & Storefront Analytics

Analytics Tools

AI-Assisted Building

Tools

GA4

Metabase/Power BI

Excel/Sheets

Job description

Job Description:

Job Description - Analyst - D2C Merchandising

You should apply if you have:

• A sharp analytical mind combined with a genuine feel for on‑site consumer experience — you notice when a layout, widget, or page just doesn't convert, and you can prove why with data
• Strong grounding in A/B testing methodology — designing hypotheses, sizing tests, and reading results correctly rather than eyeballing conversion bumps
• Comfort blending qualitative and quantitative research — you can watch session recordings on tools like Hotjar/Clarity and run user interviews, and translate what you see into a testable hypothesis
• Fluency with product/funnel analytics — you can dig into event‑level data to find exactly where the funnel is leaking and size the opportunity to fix it
• An ownership mindset over the D2C storefront as a whole — you think of every widget, PDP section, sale page, and search result as real estate to be optimized, not just decorated
• An AI‑first workflow — you use LLMs and vibe coding tools to prototype page changes, synthesize research, and move faster than a traditional analyst would
• Stakeholder management ability — you can take a merchandizing recommendation to the product and design teams and defend it with evidence

You should not apply if you:

• Are looking to run merchandising operations day‑to‑day (inventory, pricing, catalog ops) — this is an analysis and optimization role, not a merch‑ops role
• Need a long ramp time — we expect you to understand our D2C storefront and start proposing tests within weeks
• Treat a page redesign or a new widget as the finish line rather than the start of a measurement cycle
• Are uncomfortable making a judgment call on a page layout without a perfectly clean dataset behind it

Skills Required:

Must-Have

• A/B Testing & Experimentation Design: framing hypotheses, calculating sample size and test duration, and reading out results correctly
• Session Recording & Behavioural Research: hands‑on use of Hotjar and/or Microsoft Clarity to watch and synthesize real user sessions into friction points
• Product/Funnel Analytics: using event‑based analytics tools to identify exactly where the funnel is leaking and quantify the opportunity
• Qualitative Research: running and synthesizing session recordings and user interviews into actionable findings
• Merchandizing & Storefront Analytics: reasoning about widget placement, PDP structure, sale page architecture, and on‑site search/discovery
• Analytics Tools: GA4 (or similar) for on‑site behaviour, a BI tool (Metabase/Power BI) for reporting, and Excel/Sheets for modelling
• AI‑Assisted Building: using LLMs and vibe coding tools to prototype pages, synthesize research, and speed up analysis

Good to Have

• Familiarity with event‑based product analytics platforms such as Mixpanel or Amplitude
• Basic familiarity with Figma or similar to mock up widget/page changes
• Prior experience with PDP or CRO optimization in a D2C or e‑commerce business
• Python for basic scripting on data pulls or test analysis

What will you do?

Own the D2C Storefront Real Estate

• Decide how every widget on the homepage, category, and PDP pages should be placed and sequenced
• Plan and prioritize sale and campaign page layouts across major sale events
• Continuously audit the storefront for underperforming or redundant real estate

Run A/B Testing & Experimentation

• Design and run structured A/B tests on landing pages, PDPs, widgets, and on‑site promotions
• Define success metrics, calculate sample size, and read out results with statistical rigour
• Build and maintain a prioritized backlog of testing hypotheses

Drive Consumer Insights

• Watch and synthesize session recordings on Hotjar/Clarity to uncover on‑site friction points
• Run user interviews to go deeper on the 'why' behind observed behaviour
• Convert qualitative signals into testable hypotheses and merchandizing recommendations

Diagnose Funnel Leakages

• Use product analytics tools to trace the funnel step by step and pinpoint where users drop off
• Quantify the size of each leakage and prioritize fixes by potential impact
• Partner with product on instrumentation gaps when the data needed isn't already tracked

Plan On‑Site Promotions & Campaigns

• Plan how sale pages, campaign pages, and promotional widgets should look and be sequenced across the site
• Coordinate timing and placement of on‑site promotions with the marketing calendar

Optimize PDPs and On‑Site Search

• Identify PDP‑level improvements — content, trust signals, cross‑sell, review placement — and validate them with data
• Monitor on‑site search and discovery performance and recommend improvements to relevance and merchandizing rules

  Translate Insights into Merchandising Recommendations

  • Convert findings into clear, prioritized recommendations for the merchandising operations team to execute
  • You own the analysis and the recommendation — the merchandising team owns execution — so follow‑through and clarity matter

  Work Experience:

  2-4 years of experience

  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.