Senior Analyst - Pricing Analytics

Lowes 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, 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.

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_lowes.co.in

About the Team

The pricing Analytics team supports pricing managers and merchants in defining and optimizing the pricing strategies for various product categories across the channels .The team leverages advance analytics to forecast/measure the impact of pricing actions , develop strategic price zones, recommend price changes and identify sales/margin opportunities to achieve company targets .

Job Summary:

The Sr. Analyst Pricing is responsible for strategic price test development, Data driven price change recommendation & measurement, and ad hoc work supporting Lowes strategic pricing efforts. In this role, the Sr Analyst will be assisting the Sr. Pricing Analysts & Pricing Managers in developing, modeling, communicating, and tracking performance of new initiatives related to Pricing.

Roles & Responsibilities:

Core Responsibilities:

• Responsible for providing cluster-specific data analytics, including development and deployment of necessary dashboards, reporting & insights.
• Research, design, and develop applicable statistical approaches/models for specific business problems (Price Testing, Price Change, Post Mortem & Category review).
• Design and develop processes to gather, explore, structure, enrich, and clean large datasets from various internal and external sources.
• Leverage Item role designation (Key Value Item (KVI), Head, Core & Tail) models in support of Role of Category and Intent objectives to develop insights.
• Develop scalable retail test processes and frameworks for design of experiment, test v/s control testing, baseline development, assessment, and recommendations.
• Analyze Competitor demographics & performance for pricing across key categories.
• Ad Hoc reporting and analysis for Pricing team.
• Develop executive-ready presentations synthesizing multiple data sets to effect a new decision related to Pricing
• Must possess a strong understanding of the business in order to provide effective solutions that meet the customers needs and the ability to drive a concept from vision to completion with limited direction

Years of Experience:

• 3-6 years of relevant experience

Education Qualification & Certifications (optional)

Required Minimum Qualifications

• Bachelor&aposs Degree plus 3+ years experience in an analytical role OR 6+ years of relevant experience in a professional environment

Skill Set Required

Primary Skills (must have)

• Bachelor&aposs degree in business, Engineering, Statistics, Economics, or any other Quantitative discipline plus 3+ years experience in analytical role

• Experience in Data mining and visualization tool such as Power BI, Excel, GCP, and SQL (ETL)

• Strong analytical skills with demonstrated ability to accumulate, evaluate, and generate insights from disparate data sources. Capable of summarizing vast amounts of information as well as understanding the detail supporting the analysis
• Story building with data Presentations that depict results in a way that can be shared across levels & actionable insights
• Experience in statistical concepts/modeling
• Process Improvement/Automation experience
• Ability to handle multiple tasks simultaneously

Secondary Skills (desired)

• Technical expertise in Tableau, Knime, Power Automate
• Experience in Python, statistical concepts/modeling
• Experience in Pricing Analytics or Marketing Analytics or Retail Analytics
• Experience working in Global Operating Model
• Project Management experience

Lowes is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, 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 state or local law. Lowes wishes to maintain appropriate standards and integrity in meeting the requirements of the Information Technology Acts privacy provisions.