Business Associate

About Swiggy

Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.

From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees

Role Overview

The Business Associate – Assortment & mSKU Architecture will support the creation, maintenance, and optimization of Instamart’s platform-wide master SKU list. This role is critical in enabling data-backed decisions on assortment width, breadth, and depth, and ensuring that category proposals align with established guardrails.

The analyst will work closely with the Senior Manager – Assortment Design, Category teams, Analytics, Product, and Supply to build scalable frameworks, automate checks, and produce insights that shape Instamart’s assortment strategy.

1. mSKU Architecture & Assortment Guardrails

• Support the development and maintenance of the platform-wide master SKU (mSKU) list.
• Operationalize assortment guardrails for width (category coverage), breadth (variety), and depth (pack sizes/SKUs).
• Build rule-based and data-driven checks to ensure category-proposed SKUs meet eligibility criteria.

2. Assortment Analytics & Insights

• Analyze SKU performance across velocity, contribution, coverage, substitution, and customer demand.
• Identify assortment gaps across price points, pack sizes, brands, and sub-categories.
• Track trends using internal signals, competition crawls, and search behavior to recommend new mSKUs.
• Monitor redundancy and SKU proliferation; recommend SKU exits to improve operational efficiency.

3. Tooling, Automation & Dashboarding

• Work with Product, Data Engineering, and Internal Tools teams to automate guardrail checks.
• Build and maintain dashboards for assortment health, mSKU compliance, new SKU performance, and category gaps.
• Develop scripts or automated workflows for data cleaning, SKU mapping, and guardrail validation.

4. Cross-Functional Collaboration

• Partner with Category Managers to evaluate SKU onboarding requests.
• Collaborate with Consumer Insights to integrate qualitative learnings.
• Work with Supply/Planning to ensure depth decisions align with demand patterns.

5. Reporting & Documentation

• Create clear documentation for guardrails, eligibility rules, taxonomies, and SKU validation logic.
• Present insights and recommendations to leadership on assortment improvements.

Technical Skills & Requirements:

• Ability to design and optimize

  LLM prompts

  and work with GPT-based architectures for automation, classification, and enrichment use cases.
• Experience working with or supporting

  web scraping, competition crawls, or automated data ingestion pipelines

  .
• Strong proficiency in

  SQL

  for data extraction and transformation.
• Hands-on experience with

  Python

  (Pandas, NumPy) for data analysis and automation.
• Expertise in

  Excel/Google Sheets

  for quick analysis and scenario modeling.
• Experience building dashboards using

  Tableau, Power BI, or Looker

  .
• Ability to work with large datasets and build scalable analytical workflows.
• Familiarity with taxonomy, catalog data, and recommendation systems preferred.
• Experience with API-based data ingestion, web crawling data, or catalog data structures is a plus.

Core Competencies:

• Strong analytical and problem‑solving skills.
• High attention to detail and ability to work with complex datasets.
• Ability to translate ambiguous business problems into structured analytical frameworks.
• Strong communication skills for cross-functional alignment.
• Bias for action and comfort with fast-paced, evolving environments.

Experience & Qualifications:

• 2–5 years of experience in analytics, business intelligence, category analytics, or product analytics.
• Experience in e-commerce, retail, FMCG, or quick commerce preferred.
• Bachelor’s degree in Engineering, Mathematics, Economics, Statistics, or similar quantitative fields.

Success Metrics:

• Accuracy and reliability of mSKU guardrail automation.
• Reduction in duplicate, redundant, or low-value SKUs.
• Faster and more consistent validation of category-proposed SKUs.
• Improved assortment coverage, depth accuracy, and alignment with customer demand.
• Adoption of dashboards and tools by cross-functional teams.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, colour, religion, sex, disability status, or any other characteristic protected by the law"