Job
Description
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 Pro Rapid Insights team supports Lowe’s Pro business by delivering timely, actionable insights that guide data-driven decisions. We work closely with stakeholders across Marketing, Merchandising, Operations, and Product teams to provide analytical support and business visibility across key functions. Our work balances quick-turnaround requests with the development of scalable dashboards and scorecards that drive strategic planning. In a dynamic and fast-paced environment, the team is known for its agility, problem-solving mindset, and ability to turn complex data into clear, impactful solutions. Job Summary The primary purpose of this role is to perform mathematical and statistical analysis or model building as appropriate. This includes following analytical best practices, analyzing and reporting accurate results, and identifying meaningful insights that directly support decision making. This role provides assistance in supporting one functional area of the business in partnership with other team members. At times, this role may work directly with the business function, but the majority of time is spent working with internal team members to identify and understand business needs. Roles & Responsibilities Core Responsibilities: Analyze structured and unstructured data to uncover trends, customer behaviors, and business drivers specific to the Pro segment. Build and maintain dashboards, scorecards, and automated reporting solutions that track business KPIs and enable fast decision-making. Partner with cross-functional teams to define problems, gather requirements, and deliver data solutions that meet evolving business needs. Conduct root cause analyses, design experiments, and apply statistical modeling (e.g., regression, clustering, A/B testing) to evaluate the effectiveness of programs and initiatives. Translate analytical findings into compelling, actionable recommendations and clearly communicate them to stakeholders at various levels. Continuously seek ways to improve data quality, operational efficiency, and the scalability of analytics solutions. Stay up to date with new analytics tools and methodologies, contributing to the team’s collective learning and innovation. Years Of Experience 1 to 3 yrs of experience data analytics Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's degree in business administration, computer science, computer information systems (CIS), engineering, or related field (or equivalent work experience in lieu of degree) Skill Set Required Experience using basic analytical tools such as R, Python, SQL, SAS, Adobe, Alteryx, Knime, Aster Experience using visualization tools such as MicroStrategy VI, Power BI, Tableau Secondary Skills (desired) Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, Adobe, TM1, Alteryx, Knime, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2) Experience working with big, unstructured data in a retail environment Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc. Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny Programming experience using tools such as R, Python Data Science experience using tools such as ML, Text mining Knowledge of SQL Project management experience Experience in home improvement retail 1 year of experience in digital analytics implementation using enterprise grade tools such as Adobe Dynamic Tag Management (DTM), Google Tag Manager (GTM), Tealium, Ensighten, etc. (specific to the Digital Analytics Implementation role) 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.
