Sr Data Analyst_PPCI

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

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.
To be successful, the individual in this role must have technical expertise in programs such as SQL or Python, know how to query data, and have the ability to use operational and customer analytical data, merge data sets from different systems, summarize and visualize findings using visualization tools (e.g., MicroStrategy VI) to provide actionable insights to business partners.

Roles Responsibilities:

Core Responsibilities:

• Analyze business and operational data to uncover trends, patterns, anomalies, and root causes that inform decision-making.

• Translate data outputs from reports, dashboards, or models into clear, concise insights and recommendations tailored to business needs.

• Work directly with business stakeholders to understand context and provide deep-dive analysis on priority questions and KPIs.

• Partner with DS and engineers to ensure analytics outputs are accurate, contextualized, and easy to consume.

• Support performance monitoring and KPI analysis for key business initiatives, identifying risks, opportunities, and gaps.

• Help shape hypotheses and drive problem-solving through structured data exploration and storytelling.

• Collaborate with insight analysts across business domains to bring consistency and share best practices in analysis frameworks.

• Contribute to building an enterprise-wide insights knowledge base and reusable analysis templates.

• Participate in agile planning cycles and align work with sprint priorities, often working across time zones.

• Provide mentorship and analytical support to junior analysts and cross-functional partners when needed.

Education Qualification Certifications (optional)

Required Minimum Qualifications :

• Bachelor s degree or equivalent in Business Analytics, Statistics, Computer Science, Engineering, or a related field.

• 5+ years of experience in data analysis, business analytics, or data science roles in a business or IT setting.

• 3+ Years of hands-on experience working with data warehouses, cloud platforms, or enterprise data environments.

• Demonstrated experience in supporting cross-functional teams with insight-led decision-making.

• Exposure to data governance, data quality, or metadata management concepts is a plus.

• Certifications in data analysis, statistics, or business analytics (e.g., Microsoft Data Analyst Associate, Google Data Analytics, or equivalent) are a plus.

Skill Set Required

Primary Skills (must have)

• Solid understanding of statistical techniques, hypothesis testing, and causal analysis.

• Business acumen and ability to connect data insights with operational or strategic context.

• Proven ability to translate complex data into simple narratives, executive summaries, and decision-support outputs.

• Comfortable presenting findings and recommendations to non-technical audiences.

• Strong proficiency in analyzing large datasets using SQL, Excel, and scripting tools such as Python or R (preferred but not mandatory).

• Experience working with BI/reporting tools (e.g., Power BI) to interpret and work with data.

• Effective stakeholder engagement, with strong communication and influencing skills.

• Experience working within Agile teams.