Global Size Data Analyst - Data Pillar
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong brand, mid-level generalist data title, metro location, and broad skill requirements increase applicant competition.
Role requires retail merchandising and inventory domain knowledge, limiting transferability across unrelated industries.
Explicit minimum experience plus mandatory SQL/Python, BI tools, and retail/domain expertise increases screening rigor.
Job Description
Structured overview of role & requirementsAbout This Role
Drive size productivity and inventory optimization through analytics, dashboards, and reporting that improve size signal accuracy and grid performance.
Develop and maintain size-related data products including dashboards tracking size curve accuracy, grid productivity, and inventory performance supporting planning and in-season decision-making.
Support AI/ML initiatives by validating machine learning size profiles, assisting in model development, ensuring data quality, and contributing to digital sizing tool adoption and training.
Minimum Requirements
Bachelor's degree in Business, Economics, Data Science, Statistics, or related analytical field.
Minimum 3 years of experience in data analytics, merchandising, demand planning, inventory management, or similar role.
Proficiency in SQL or Python for data querying and analysis; strong skills in Excel and data visualization tools (Looker Studio, Power BI, Tableau).
Location requirement: Bangalore, India (Office-based).
Ideal Candidate Profile
Experienced in cross-functional collaboration with merchandising, sales, allocation, and planning teams for inventory and size grid optimization.
Comfortable interfacing with data governance and AI/ML teams to improve data quality and model performance, indicating a technically informed and analytical mindset.
Skilled in translating complex quantitative data into clear, actionable insights and communications tailored to both technical and non-technical stakeholders, including senior leadership.