Analyst

Innovate in Bengaluru

This position is based at our on-site office in Bengaluru. Lowes offers an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site gym and clinic, and other perks to enhance your work experience. 

About Lowes

Lowes is a FORTUNEregistered 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowes supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.

About Lowes India

Lowes India, the Global Capability Center of Lowes Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowes India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India

About The Team

Lowes Demand Forecasting team, commonly known through its Lowes Internal Forecast Tool (LIFT), develops and operates data-driven forecasting capabilities that improve demand-planning accuracy and reduce manual intervention. The team applies time-series analysis and AI/ML models to support supply-chain efficiency, inventory optimization, and fulfillment decisions. Its forecasts span weekly item-location demand across Lowes stores, store-level sales for labor planning, new-store sales estimates, truck arrivals, and transportation shipment volumes. The teams work is central to inventory ordering, allocation, replenishment, and exception management. By incorporating trends, seasonality, and market intelligence, it creates demand and sales forecasts that support planning partners across supply chain, merchandising, inventory fulfillment, and transportation.

JOB SUMMARY

The Analyst - Forecast Intelligence supports the evolution of Connected Forecasting across Demand, Pricing, Promotion, Network, and Fulfillment. The role monitors forecast accuracy and bias, identifies trends and anomalies, and translates data into actionable insights for Product, Data Science, Engineering, Supply Chain, Merchandising, and business partners. Through hands-on data preparation, analysis, and automation, the Analyst helps measure and improve in-stock availability, inventory productivity, excess inventory reduction, and working-capital efficiency

Key Responsibilities

• Monitor forecast accuracy and bias across products, locations, channels, and forecast horizons; investigate trends, anomalies, and drivers of performance.
• Build and maintain data pipelines for analytical needs, including extraction, transformation, validation, and scheduled refreshes of forecast, sales, pricing, promotion, inventory, and fulfillment data.
• Develop dashboards, scorecards, and repeatable analyses that connect forecast performance to business outcomes and highlight opportunities for action.
• Perform root-cause analysis to distinguish data quality issues, changing business conditions, and forecasting limitations; recommend improvements with supporting evidence.
• Partner with Product, Data Science, Engineering, and business teams to define success metrics, evaluate forecasting enhancements, and inform prioritization.
• Use AI tools to accelerate data exploration and insight generation, and to write simple, reusable SQL and Python code for complex analytical tasks; validate generated code and findings before use.
• Automate recurring analytical workflows and document data definitions, assumptions, and methodologies to ensure consistent, reliable insights.
  Required
• EDUCATION QUALIFICATIONS
• Bachelors degree in computer science, computer information systems, or related field or equivalent years of experience in lieu of education requirement, if applicable

Preferred

Masters degreein computer science, CIS, or related field

Required

Work Experience

• 2–5 years in analytics or business intelligence; retail or supply chain experience preferred.
• Ability to turn raw data into insights and visualizations using Excel or Power BI.
• Experience investigating datasets with millions of records and identifying root causes.
• Proficiency in complex SQL and ETL.
• Proficiency in Python, including NumPy and pandas.
• Proficiency in GCP or another cloud environment.
• Ability to use AI effectively for analysis and insight generation.
• Strong analytical reasoning, critical thinking, and prioritization.
• Clear written and verbal communication, including management presentations.
• Strong understanding of supply chain and replenishment concepts.

• Ability to apply statistical methods to business problems.
• Hands-on experience applying and evaluating analytical models, such as time-series forecasting, regression for price elasticity or promotional lift, anomaly detection, or clustering for product and location segmentation.Familiarity with forecast evaluation, including accuracy and bias metrics, backtesting, and comparing performance against baseline models