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 A Merchandising Analyst plays a pivotal role in driving the performance of product assortments by leveraging data to optimize strategies. They are responsible for analyzing key trends across sales, margins, inventory, turnover, and other critical KPIs. By incorporating macroeconomic factors and leveraging forecasted expectations, they develop effective strategies to maximize revenue and margins, optimize inventory levels, and ensure customer needs are met efficiently. The ideal candidate should possess strong technical expertise, enabling them to conduct root cause analyses, A/B testing, hypothesis testing, and regression analysis. Their insights should translate into actionable recommendations that drive business results. Additionally, they are expected to collaborate with cross-functional teams to integrate metrics beyond merchandising and engage stakeholders to understand and address their specific requirements effectively. 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: Conduct in-depth analysis of business trends, financial performance, and market conditions. Develop and maintain data models, dashboards, and reports to support business decisions. Identify opportunities for operational improvements and recommend strategic solutions. Collaborate with cross-functional teams to translate data insights into actionable strategies. Ensure data accuracy, integrity, and security while handling large datasets. Present findings and recommendations to leadership in a clear and concise manner 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 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 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. Show more Show less
