Analyst

Lowe's India; Bengaluru; Vor Ort; INR 900.000 - 1.500.000; Vollzeit

Zusammenfassung

Lowe's India, the Global Capability Center for Lowe’s Companies, seeks an Analyst in Bengaluru to advance Connected Forecasting across Demand, Pricing, Promotion, and Fulfillment. You will monitor forecast accuracy, prepare data, and generate insights to improve inventory and working capital efficiency.

Join a team applying time-series analysis and AI/ML to support supply chain planning and collaborating with cross-functional partners. On-site role with modern facilities.

Qualifikationen

• 2–5 years in analytics or BI; retail/supply chain exp preferred.
• Ability to turn raw data into insights and visuals using Excel/Power BI.
• Proficiency in SQL and ETL processes; knowledge of Python for data tasks.
• Experience with Google Cloud Platform (GCP) or similar cloud environments.
• Strong communication skills and ability to present complex data clearly.
• Familiarity with forecast analytics, time-series methods is a plus.

Aufgaben

• Monitor forecast accuracy and bias across products, locations, channels, and forecast horizons.
• Build and maintain data pipelines for analytical needs (ETL, data extraction, transformation, and validation).
• Develop dashboards, scorecards, and analyses linking forecast performance to business outcomes.
• Perform root‑cause analysis to identify data quality issues and forecast limitations.
• Collaborate with Product, Data Science, Engineering, and business teams to define success metrics.
• Use AI tools to accelerate data exploration and write reusable SQL and Python code; validate results.

Kenntnisse

Analytics

Power BI

Excel

SQL

Python

GCP

AI for analytics

Data visualization

ETL

Ausbildung

Bachelor's degree in computer science or related field

Master’s degree in computer science or related field

Tools

BigQuery

ETL tools

Jobbeschreibung

Innovate in Bengaluru

This position is based at our on‑site office in Bengaluru. Lowe's 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 Lowe’s

Lowe’s is a FORTUNE® 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, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s 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 Lowe’s India

Lowe’s India, the Global Capability Center of Lowe’s 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 home‑grown solutions to fostering innovation through its Catalyze platform, Lowe’s 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

Lowe’s Demand Forecasting team, commonly known through its Lowe’s 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 Lowe’s stores, store‑level sales for labor planning, new‑store sales estimates, truck arrivals, and transportation shipment volumes. The team’s 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

Bachelor’s degree in computer science, computer information systems, or related field or equivalent years of experience in lieu of education requirement, if applicable.

Preferred Education Qualifications

Master’s degree in 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.

Preferred Work Experience

• 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.

Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.