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 transparent 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

📌 Business Associate View Jobs (Karnataka)
🏢 Swiggy
📍 Karnataka