Lead Analyst, DACI Analytics

Job Description

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

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