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.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 homegrown 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
The Merch Ops Analytics team supports the Assortment Planning function at Lowe’s to assist in item level planning across all Lowe’s stores. The team leverages advanced analytics to gather insights and share recommendations to the business in optimizing assortments via SKU Rationalization, Product Line Reviews and other strategic initiatives to ensure that Lowe’s stocks the right product in the right store in the right quantity
Job Summary
The principle purpose of the Analyst is to work with the Sr. Analyst/Lead Analyst in delivering impactful data driven analytics support to the Merchant organization. This position is responsible for following analytical best practices, accurately reporting and analyzing results and identifying insights for decision making. The Analyst is responsible for developing an unbiased, holistic view of the key drivers of business performance.This is accomplished utilizing advanced tools and methods to leverage customer and transaction data.To accomplish this, the Analyst must have decent knowledge of retail analytics. This individual will work with the Sr. Analyst and/or the Lead Analysts to ensure that insights from USHI functional areas and business units (BUs) are understood and incorporated into work products. Additionally, this individual must be able to work effectively within a matrixed organization and demonstrate self-leadership skills
Core Responsibilities
- Understands retail analytics and works effectively under the guidance of a Sr. Analyst and/or Lead Analyst to deliver impactful data driven analytics insights/recommendations
- Builds and/or validates recommendations based on sound methodology, data gathering, and data analysis; uses data driven conclusions and decisions to provide solutions
- Communicates observations and/or insights to the Sr. Analyst and/or Lead Analysts to help prepare analyses through leveraging multiple data sources
- Demonstrate resourcefulness and resilience in the face of change, obstacles, and adversity. This includes adapting to competing demands and shifting priorities. This also includes improving adaptability, pursuing new skills and knowledge, and regularly seeking feedback from others
Primary Skills (must Have)
- 2+ years of experience in Data Analytics
- Wrangling data using complex SQLs and data extraction processes using data tools like SQL Assistant, DBeaver etc across databases in Teradata, Hadoop
- Proficiency in doing data transformations & creating reports using MS Excel
- Working with large data sets & generating actionable insights
- Demonstrated experience working cross-functionally and with global partners
- Experience with other Microsoft Office tools (e.g., Word, PowerPoint)
Secondary Skills (desired)
- 1 year experience in Retail category analytics working directly with merchants
- Experience with business intelligence and reporting tools (e.g., PowerBI, MicroStrategy, Tableau etc.)
- Experience working with Big data & data transformation tools such as Python, SAS, R etc
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.
