Job description

Your Impact The primary purpose of this role is to translate business problems into analytic designs and perform the quantitative analysis or model building 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. With a focus specifically on People Analytics Implementation, this role provides data capture capabilities to support digital analytics initiatives for one or more Lowe's or Lowe's HR properties. This role translates business needs to effective HR analytics tagging specifications that provide metrics for analytic solutions across various HR operations. These tagging specifications ensure that data can be translated to tangible results for Lowe's and Lowe's HR. This role typically focuses on HR business function. This individual independently leads analytic and automation projects while partnering primarily with 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. At times, the individual in this role reviews his/her work with a Lead Analyst. What You Will Do • 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 Minimum Qualifications • Bachelor’s degree in business, Economics, Engineering, Statistics, Data or Information Sciences, or related field (or equivalent work experience in a related field) • 3 years of related experience (fewer years may be accepted with a Masters or Doctorate degree) • 2 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide) • 1 year of experience working with Enterprise level databases (e.g., Hadoop, Aster, GCP, BigQuery, Azure, Oracle, DB2) • 2 years of experience using enterprise-grade data visualization tools (e.g., MicroStrategy VI, Power BI, Tableau) • 1 year of Functional experience performing predictive analytics at a large scale enterprise Preferred Skills/ Experience • Master's Degree in Business, Engineering, Statistics, Economics or related area • People Analytics experience or domain knowledge in Talent Acquisition, Talent Management, Total Rewards, and/or Culture, Diversity & Inclusion • Advanced knowledge of SQL • Experience with Enterprise level databases (Hadoop, GCP (BigQuery), Azure, Oracle, Teradata, DB2) • Experience with analytical tools like Python, Alteryx, Knime, SAS, etc. • Experience with visualization tools like Google Looker, MicroStrategy VI, Power BI, SAS-VA, Tableau • Programming experience using tools such as R, Python • Data Science experience using tools such as machine learning, natural language processing, GPT, prompt engineering • Project management experience • Experience in home improvement retail • Experience mentoring junior analysts to build technical and analytical skills • Experience providing peer review, supervision, or quality checks on analytic work • Strong skills in data validation and ensuring analytic integrity in reporting and insights About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s 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.

Requirements