Job Description Summary
Are you a Data Junkie? Do you have high data quality standards? Do you know how to implement and follow processes that produce reliable, incisive insights and reports?
Our team is looking for a Data Analyst to INVENT and SIMPLIFY the way we manage Store Inventory, protect our in-store assets (people and products) and build connected Smart Stores, all to make life better for hundreds of thousands of Store Associates and millions of Customers. If you're interested in that and the perks of our new Tech Hub in Charlotte and consistent SVP-level visibility, let's go!
Job Description
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 includes building testing frameworks for improving in store processes. 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 and build reporting for product development.
With a focus specifically on Store Inventory Processes , this role provides data capture capabilities to support analytics needs for all Store Inventory Products. This role translates business needs to effective analytics tagging specifications that provide metrics for analytic solutions across various inventory-related initiatives. These tagging specifications ensure that data can be translated to tangible results for Lowe's. Once metrics are defined, the analysts will be responsible for building reporting and self-serving reporting mechanisms for product management.
This role typically focuses on one business function such as Store Inventory Management and Smart Stores. 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, reporting tools and techniques and strong domain expertise.
Qualifications
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) AND 2 years of related experience
OR • Master's Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 1-2 years of related experience
ALSO • 1-2 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide) • 1-2 years of experience working with Enterprise level databases (e.g., GCP (BigQuery, BigTable), Hadoop, Teradata, Aster, Azure, Oracle, DB2) • 1-2 years of experience using enterprise-grade data visualization tools (e.g., Looker, MicroStrategy VI, Power BI, Tableau) • 1-2 years of Functional experience performing predictive analytics at a large scale enterprise
Preferred Qualifications • Master's Degree in Business, Engineering, Statistics, Economics or related area • Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, TM1, Alteryx, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2) • 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, MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny • Programming experience using Python • Data Science experience using advanced ML techniques
• Advanced knowledge of SQL • Project management experience • Experience in home improvement retail • 2 years of experience in analytics (or digital analytics) using tools such as Adobe Analytics (SiteCatalyst, Ad-hoc, and Report Builder), Looker, Superset, MicroStrategy, etc. • 2 years of experience in digital analytics implementation using enterprise grade tools such as Adobe Dynamic Tag Management (DTM), Google Tag Manager (GTM), Tealium, Ensighten, etc. (specific to the Digital Analytics Implementation role) • 2 years of data validation experience using tools such as Charles, Fiddler, etc. (specific to the Digital Analytics Implementation role) • Digital analytics implementation certification (for example, Adobe certified implementation expert, Adobe processing rules authorization, etc.) (specific to the Digital Analytics Implementation role)
About Lowe's
Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where 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 and helping to develop the next generation of skilled trade experts. 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.
Pay Range for CA, CO, HI, NJ, NY, WA: $61,300.00 - $116,500.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.