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.
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 experience4+ years experience in analytical role along with proficiency in Sql Power BIRequired Minimum Qualifications :
Bachelor / Master s Degree in Analytics, Statistics, Economics, Math or BusinessSkill 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, PrestoExcellent communications skills to communicate findings and recommendations to stakeholders in a clear and concise mannerDesign and develop processes to gather, explore, structure, enrich, and clean large datasets from various internal and external sourcesExperience working with multiple stakeholders across locationsAbility to translate complex business problems, goals and objectives into actionable requirementsExperience in collaborating with cross functional teams (Business / Product / Data engineering / Software engineering / UX) to scope, prioritize and develop solutions that are consistent with delivery roadmapSecondary Skills (desired)
Develop, maintain and improve descriptive and predictive analytics models and tools in support of Lowe s Pricing Promotions retail strategyDevelop scalable retail test processes for baseline development, measurement and recommendationsPerform data validation, outlier detection, and root cause analysis to prepare inputs for statistical and machine learning modelsResearch, design, and develop applicable statistical and ML approaches for specific business problemsAssess the quality of model output to identify results vs outliers and investigate root cause through detailed analysis of data inputs and codeRelevant experience in retail analytics preferredSkills Required
Root Cause Analysis, Business Analytics, Stakeholder Engagement