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 -lowes.co.in
The Senior Analyst is an individual contributor to provide data-driven analytics support to the Cost Strategy team within the Merch FDS&A organization.
Position Overview: The Senior Analyst will play a crucial role in analyzing and optimizing product costs to unlock enterprise value. This high-visibility role partners directly with Merchandising, Strategic Sourcing, Supply Chain and Finance to produce actionable insights that inform strategic decisions on vendor performance, and product cost optimization Strategies.
- Analyze product cost drivers & variance and translate findings into clear, prioritized actions.
- Run scenarios & sensitivities to quantify trade-offs and risk.
- Stand up automations (SQL/Python) for recurring reports, data quality checks, and benefit tracking to reduce cycle times and manual effort.
- Build executive-ready insights that distill complex analyses into actionable insights for VP/C-suite decisions (e.g., Cost out strategies)
Key responsibilities include:
Data Analysis & Insights: The Analyst leverages advanced analytics to analyze data, identify trends, perform root-cause analysis, and deliver actionable insights & recommendation to stakeholders
Data Management: Gathering, wrangling, and preparing data, ensuring accuracy to enable meaningful analyses while ensuring adherence to analytical best practices
Collaboration & Leadership: Working with Analysts, Engineers, and Data Scientists to achieve function goals, driving continuous improvement
Self-Leadership: Operating effectively within a matrixed organization, demonstrating initiative, and delivering high-quality outcomes independently.
This role requires expertise in retail analytics, advanced statistical techniques, and a proactive approach to developing insights that influence freight cost optimization strategies.
Core Responsibilities:
Technical Expertise: Hands-on application of advanced technical and analytical skills to deliver actionable insights & recommendations aligned with business strategy requirements.
Continuous Learning: Expand knowledge of business solutions, tools, and frameworks; collaborate with peers to broaden skillsets.
Collaboration: Partner with cross-functional teams to design and implement scalable, best-practice analytical solutions.
Stakeholder Engagement: Translate business needs into actionable analytical requirements and serve as a trusted partner for business stakeholders.
Innovation & Advocacy: Promote future-proof practices and holistic solutions, adopt new tools and techniques, and identify opportunities for enhancing analytical solutions
Data & Metrics: Ensure accurate data and metrics are established for reporting and decision-making.
Years of Experience:
2+ years experience in analytical role along with proficiency in Sql & Excel/Power BI and Statistics. Retail & Finance domain knowledge is a good to have
Required Minimum Qualifications:
Bachelor in Analytics, Statistics, Economics, Math or Business
Skill Set Required
Hands-on experience working with Enterprise level databases (e.g., Hadoop, GCP, DB2)
Visual story telling with dashboards in Power Bi, Superset, Excel
Excellent communications skills to communicate findings and recommendations to stakeholders in a clear and concise manner
Experience working with multiple stakeholders across locations
