Business Associate

About Swiggy

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.

• 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.

• 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.

• 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.

• 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.

• 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.