Lead Analyst, DACI Analytics

About the Team

The team is responsible for analytics and delivery strategy across Pricing, Promotion & Competititive Intelligence (PPCI) product portfolio. . We work closely with business stakeholders to deliver analytical solutions to Data Intelligent products.

Job Summary:

The Lead Analyst is an individual contributor who collaborates with Product & Analytics Manager to deliver impactful, data-driven analytics support to the Pricing & Promotions organization. Key responsibilities include:

• Data Analysis & Insights: The Lead 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 product goals, driving continuous improvement, and contributing to a best-in-class PPCI function.
• 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 pricing and promotional strategies.

Roles & Responsibilities:

Core Responsibilities:

• Technical Expertise: Hands-on application of advanced technical and analytical skills to deliver actionable insights & recommendations aligned with business strategy requirments.
• Continuous Learning: Expand knowledge of business solutions, tools, and frameworks; collaborate with peers to broaden skillsets.
• Collaboration: Partner with cross-functional teams (product, engineers, data scientists, PMs) 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 within PPCI.
• Data & Metrics: Ensure accurate data and metrics are established for reporting and decision-making.
• Self Leadership & Mentorship: Guide and mentor team members by refining best practices, fostering skill development, and ensuring effective solution delivery.
• Best Practice Advocacy: Represent and advocate for analytical best practices with senior leadership and stakeholders.

Years of Experience:

• 7+ years of experience
• 4+ years experience in analytical role along with proficiency in Sql & Power BI

Required Minimum Qualifications:

• Bachelor / Master s Degree in Analytics, Statistics, Economics, Math or Business

Skill Set Required

Primary Skills (must have)

• Hands-on experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, DB2)
• Visual story telling with dashboards in Power Bi, MicroStrategy,Tableau, Superset, Presto
• Excellent communications skills to communicate findings and recommendations to stakeholders in a clear and concise manner
• Design and develop processes to gather, explore, structure, enrich, and clean large datasets from various internal and external sources
• Experience working with multiple stakeholders across locations
• Ability to translate complex business problems, goals and objectives into actionable requirements
• Experience in collaborating with cross functional teams (Business/ Product / Data engineering / Software engineering/ UX) to scope, prioritize and develop solutions that are consistent with delivery roadmap

Secondary Skills (desired)

• Develop, maintain and improve descriptive and predictive analytics models and tools in support of Lowe s Pricing & Promotions retail strategy
• Develop scalable retail test processes for baseline development, measurement and recommendations
• Perform data validation, outlier detection, and root cause analysis to prepare inputs for statistical and machine learning models
• Research, design, and develop applicable statistical and ML approaches for specific business problems
• Assess the quality of model output to identify results vs outliers and investigate root cause through detailed analysis of data inputs and code
• Relevant experience in retail analytics preferred

Lowes 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.