Analyst, Merchandising Reporting at Lowe's Companies, Inc.

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

22 Jul, 26

Salary

0.0

Posted On

23 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, SQL, Advanced Excel, Python, Data visualization, RPA, Data aggregation, Process automation, KPI development, Retail operations, Communication skills, Problem solving, Unix, Knime, Power Automate, Data storytelling

Industry

Retail

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 Job Summary: The Analyst leads and executes mid complex automations and drives efficiencies for various functions. Own building and maintaining reports and dashboards providing visibility to business and its functions on its KPIs. Uncover insights to drive business outcomes. In order to achieve the desired results, they must have basic knowledge of retail, Collateral, fixtures, PO process and, be proficient in MS Excel, Power BI, SQL Assistant, Hadoop, GCP, Python etc. The Analyst also supports the team with mid complex Money Management processes and tasks such as Vendor Onboarding, PO lifecycle management, building reports, dashboards for various functions and uncovering insights. Their day-to-day decision making on which automations to pick and the kind of insights generated would impact the bottom line significantly in terms of efficiency gained, quality improved and cost reduction of capital and operational expenses through actionable insights generated for effective decision making. Roles & Responsibilities: Core Responsibilities: Own the development and maintenance of new and existing reports and dashboards as per business and its function’s requirements. Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and reporting improvements to meet business needs. Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. Develop and maintain scaled, automated, user-friendly systems to drive efficiencies. Preserve and store the code repository for future use and enhancements. Detailed technical documentation for every report and automation owned for easy handoff and debugging. Buddy program to help new joiners with their OJT and set them up for success. Years of Experience: 2 to 4 years of Experience 1.5 + years of Experience in Reporting, Data Visualization and Analytics, RPA 2 + years of Retail Experience Education Qualification & Certifications (optional) Required Minimum Qualifications: B.TECH/ B.E/B.com / BBM / Retail Operations Management Skill Set Required Primary Skills (must have) Key Skills: Power Bi, SQL, Advance Excel Excellent oral and written communication skills. Experience working across cross functional teams. Strong attention to detail and problem solving. Experience with data visualization tools such as Power BI, MicroStrategy and tableau or equivalent. Advance excel and Analytical Skills. Python, Power Automate, SQL, Unix, Knime and other automation tools. Omni Channel retail experience. Secondary Skills (desired) GCP experience is preferred Data storytelling skill preferred 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. We’re glad you’re interested in building your career with us. Lowe’s is dedicated to service, which begins with serving our associates. Lowe’s team members enjoy exceptional benefits and opportunities to grow their skills. Apply today and start your career on a strong foundation. Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 35 home improvement company serving approximately 20 million customers weekly in the United States and Canada. With fiscal year 2020 sales of nearly $90 billion, Lowe’s and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ over 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.

Responsibilities

The analyst is responsible for developing and maintaining automated reports and dashboards to provide visibility into business KPIs. They partner with cross-functional teams to implement data-driven solutions that improve operational efficiency and support effective decision-making.