Sr Analyst, Data Analytics

Lowe's Companies, Inc. • Charlotte, NC

1d • Onsite

About The Position

The primary purpose of this role is to translate business problems into analytic designs and perform the quantitative analysis needed to help guide key business decisions. This includes applying knowledge of Lowe's data concepts to the creation of relevant analytic designs and making sound, data-driven business recommendations. This role must follow analytical best practices, analyze and report accurate results, and identify meaningful insights that directly support decision making. This role leverages multiple resources, advanced analytic methodologies and data streams to support recommendations for business decisions. This role typically focuses on one business function such as Supply Chain, Stores, Merchandising, or Marketing, Digital, Finance. This individual independently leads analytic and automation projects while partnering primarily with lead analyst, manager and senior associate level staff to provide expertise in problem analysis, solution implementation, and ongoing optimization opportunities in the assigned business area. To be successful, the individual in this role must have a deep understanding of analytical techniques and disparate data sources - both internal and external, and strong domain expertise.

Requirements

• Bachelor’s degree Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field or equivalent years of experience in lieu of education requirement, if applicable
• 3 Years Related experience (fewer years may be accepted with a Masters or Doctorate degree)
• 2 Years Experience using analytic tools (e.g., Python, SQL, Looker/LookML, R, Adobe, Alteryx, Enterprise Guide, Excel Power Pivot, Power Automate)
• 1 Years Experience working with Enterprise level databases (e.g., GCP, Azure, Oracle, DB2)
• 2 Years Experience using enterprise-grade data visualization tools (e.g. Power BI, Tableau, Looker / Looker Studio Pro, Excel Power Pivot)
• 1 Years Functional experience performing predictive analytics at a large-scale enterprise

Nice To Haves

• Master’s degree Business, Engineering, Statistics, Economics or related area
• Experience with business intelligence and reporting tools (e.g., Alteryx, SQL, Looker/Looker Studio Pro, Power BI, Excel Power Pivot) and Enterprise level databases (GCP, LookML, Azure, Oracle, etc.)
• Experience working with big, unstructured data in a retail environment
• Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc.
• Experience with visualization tools like Looker / Looker Studio Pro, Power BI, Tableau
• Programming experience using tools such as R or Python
• Data Science experience using tools such as ML, Text mining
• Experience designing, developing, and governing enterprise analytical semantic layers that enable scalable, trusted self-service analytics for stakeholders
• Experience with AI prompting and Agentic/Generative AI tools (e.g., ChatGPT, Claude) to enhance analytical methodologies, synthesize and structure insights, automate analytical workflows and repetitive tasks, and improve stakeholder communication
• Project management experience, including managing multiple concurrent priorities, prioritizing work based on business impact and visibility, and proactively communicating progress and risks to stakeholders

Responsibilities

• Contributes to or builds project plans, ensuring clear understanding of project requirements and timelines; translates complex business problems into smaller and easier analytical problems
• Communicates project timelines, scope and expectations to stakeholders
• Provides high quality and timely delivery with insights and recommendations
• Communicates analyses and insights to leaders by summarizing conclusions and solutions; translates analytics and statistics into clear, understandable themes for business leaders; identifies specific analytic results that drive actionable insights
• Utilizes depth of knowledge on how to best leverage disparate data sources, relevant internal/external data, and strong domain expertise, to deliver on a need of the business
• Recommends actions and insights to drive business impact
• Mentors/coaches Analysts, delegating appropriate work and ensuring that the analyses and insights are accurate, impactful, timely and efficient; provide guidance to them wherever necessary
• Ensures the appropriate framework for measuring the impact of data analytics function is used where/when appropriate; ensures discussions of impact occur with stakeholders after each project
• Partners with internal development teams to test and deploy new tracking solutions while monitoring and optimizing existing integrations

What This Job Offers

• Job Type: Full-time
• Career Level: Senior