Lead Analyst, DACI Analytics

The team is responsible for analytics and delivery strategy across Pricing, Promotion Competitive 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. 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 Role: Business Analyst Industry Type: Retail Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate