Lowe’s India Hiring For Lead Analyst at India ,  Full Time

Job Description

At Lowe’s India, we are the enablers who help create an engaging customer experience for our nearly $90 billion home improvement business at Lowe’s. Our 3100+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative ways to ensure Lowe’s has a strong competitive edge in the market. Lowe’s India is certified as a Great Place to Work by the Great to Place to Work Institute, India, and has been recognized as one of Economic Times Best Brands for 2020.

Our Technology team supports E-commerce, Mobile, IT & Cloud Infrastructure, and Corporate Systems at Lowe’s India, enabling various functions such as supply chain, merchandising, distribution, corporate services, etc. The Data & Analytics teams help make data-driven decisions in merchandising, store operations, finance, and supply chain. The Business Services team builds business services capabilities across Merchandising, Marketing, Supply Chain, Store Operations, Enterprise Item Content, and Private Brands. The Finance and Accounting team manages Transaction Accounting, Customer and Inventory Accounting, Margin and Cost Accounting, Financial Planning and Analysis, Business Finance support, Tax and Enterprise Strategic Sourcing for the U.S. and Canada business. The Product Management team builds and manages tech products and solutions for our stores and online channels. And Lastly, our Shared Services team empowers other groups to do their job well. To know more about Lowe’s India, visit
The principle purpose of the Lead Analyst is to work with the Manager in delivering impactful data driven analytics support to the SC organization. This position is responsible for following analytical best practices, accurately reporting and analyzing results and identifying insights for decision making. The Lead Analyst is responsible for developing an unbiased, holistic view of the key drivers of business performance. This is accomplished utilizing advanced tools and methods to leverage across the different SC verticals across Canada & USHI markets. To accomplish this, the Lead Analyst must have decent knowledge of retail analytics. This individual will work with the Analyst and/or the Lead Analysts to ensure that insights from Canada /USHI functional areas and business units (BUs) are understood and incorporated into work products. Additionally, this individual must be able to work effectively within a matrixed organization and demonstrate self-leadership skills.
Preferred Qualifications: Bachelor / Master’s Degree in Analytics, Statistics, Economics, Maths or Business with 4 years experience in analytical role and proficiency in sql & Python is required
Experience working with multiple stakeholders across locations
Exp – 8-10 Years
.Excellent technical and analytical acumen. Looks into the larger picture of the analysis by understanding the business need and contributes to it
.Embraces a continuous learning mindset, improving his/her knowledge of business solutions, tools, frameworks, and supporting infrastructure
.Collaborate with peers on the product/platform team as well as peers in the broader DACI community
.Drives adoption of new techniques or tools on the team continues to suggest areas of opportunity for improving data analytical solutions
.Great coordination with business or DACI stakeholders valuable point of contact for the business analytical space they are working on
.Improves/refines analytical best practices
.Guiding and leading the analysts from the front
.Understands the code they develop well enough to explain it simply to a novice
.Close collaboration with other capability leads (data engineers, software engineers, PMs) to design architecture for data analytical products/projects
.Advocate for best practices with senior leadership and business stakeholders. Finds new analytical opportunities and drives adoption with the broader DACI community
.Learns from peer partners to broaden skillsets
.Design data analytical solutions with best practice in mind
.Advocates for future-proof development practice