Ai/ml Data Analyst

Description:

Skills Required:
· Python for ML basics, data transformations, feature engineering, forecasting workflows, and model validation
· Power BI for analytical dashboards, KPIs, and insight storytelling
· SQL for commercial analytics, customer patterns, scoring logic, and demand insights
· Excel for structured reporting, lookups, data transformation, and analytical support
· Familiarity with ML fundamentals such as model training, evaluation metrics, feature building, and prediction pipelines
· Experience in demand planning, sales forecasting, or warehouse level analytics is a plus
Key Responsibilities:
· Build Python based ML workflows for demand forecasting, classification, and probability based SKU models
· Perform feature engineering for seasonal, weekly, and warehouse specific demand behavior
· Validate predictions using metrics such as MAE, WAPE, and precision scoring
· Analyze demand patterns by region, warehouse, customer cohorts, and product hierarchies using Python and SQL
· Build commercial dashboards in Power BI for leadership teams
· Maintain accurate mapping between product hierarchy, warehouses, sales reps, and model outputs
· Partner with Sales, Finance, Logistics, and IT to translate ML insights into business rules and allocations
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· Provide SKU level explainability and structured insight summaries for decision making
· Support incremental data strategies and ensure commercial analytics accuracy in model pipelines
Soft Skills Required:
· Strong business acumen to understand and interpret commercial impact in B2B analytics
· Critical thinking for structured problem solving, forecasting logic improvements, and pattern identification
· Excellent attention to detail to ensure precision in analytical outputs, data transformations, and dashboards