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Job Description
Innovate in Bengaluru
This position is based at our on-site office in Bengaluru. Lowe's offers an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site gym and clinic, and other perks to enhance your work experience.
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 India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India
About the Team:
This team of store analytics is focusing on all the data and analytics required for stores and store ops. This role specifically would be focused on Asset Protection (AP Insights) where individual would be regularly identifying the fraud patterns and recommending them to the team.
Job Summary:
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.
Roles & Responsibilities:
Core 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
Years of Experience:
- 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, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide)
- 1 Years Experience working with Enterprise level databases (e.g., Hadoop, Teradata, Aster, GCP, Azure, Oracle, DB2)
- 2 Years Experience using enterprise-grade data visualization tools (e.g., MicroStrategy VI, Power BI, Tableau)
- 1 Years Functional experience performing predictive analytics at a large-scale enterprise
Education Qualification & Certifications (optional)
Required Minimum Qualifications:
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
Skill Set Required
- Master’s degree 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 MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny
- Programming experience using tools such as R, Python
- Data Science experience using tools such as ML, Text mining
- Project management experience
Secondary Skills (desired)
- 2 Years Experience in digital analytics (or general analytics) using tools such as Adobe Analytics (Site Catalyst, Ad-hoc, and Report Builder), Google Analytics, etc. (specific to the Digital Analytics Implementation role)
- 2 Years 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)
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.
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