Job Description

Lowe\xe2\x80\x99s Companies, Inc. (NYSE: LOW) is a FORTUNE\xc2\xae 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe\xe2\x80\x99s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe\xe2\x80\x99s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe\xe2\x80\x99s customers. Lowe\xe2\x80\x99s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe\xe2\x80\x99s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, .About the TeamAre 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 Sr. 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 Summary: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 leads analytics and automation projects autonomously while partnering primarily with manager, other analysts on the team and senior associate level staff to provide expertise in problem analysis, solution implementation, and ongoing optimization opportunities in the Store Inventory and Smart Store business areas.
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.Roles & Responsibilities:Core Responsibilities:Translate business needs into analytics problems.Validate data pipelines and build automated processes. Build validation scripts.Build metrics and dashboards for inventory and smart store products.Analyze data and communicate insights with business stakeholders.Implement clickstream processes, validate clickstream data and tagging.Build experimentation framework for stores testing.Participate in the integration testing.Using data insights to improve in-store processes.Years of Experience:Minimum of 3-4 years of experienceRequired Minimum Qualifications:Bachelor\xe2\x80\x99s Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field (or equivalent work experience in a related field) AND 3 years of related experience
OR Master\'s Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 1 year of related experienceGCP certificationsPrimary Skills (must have)2 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide)3 year of experience working with Enterprise level databases (e.g., GCP (BigQuery, BigTable), Hadoop, Teradata, Aster, Azure, Oracle, DB2)3 years of experience using enterprise-grade data visualization tools (e.g., Looker, MicroStrategy VI, Power BI, Tableau)2 year of experience performing predictive analytics at a large scale enterpriseSecondary Skills (desired)Master\'s Degree in Business, Engineering, Statistics, Economics or related areaExperience 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 environmentExperience 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-ShinyProgramming experience using PythonData Science experience using advanced ML techniquesAdvanced knowledge of SQLProject management experienceExperience in home improvement retail3 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)3-4 years of data validation experienceDigital analytics implementation certification or working knowledge on clickstream (for example, Adobe certified implementation expert, Adobe processing rules authorization, etc.)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.

Lowe\xe2\x80\x99s