Lowe's is hiring for an FRESHER entry level Associate Data Analyst role in India

Position:

• Associate Data Analyst

Company:

• Lowe's India

Location:

• Bengaluru, Karnataka, India

Job Type:

• Full Time

Job Mode:

• Onsite

Job Requisition ID:

• JR-02521930

Years of Experience:

• 0 to 2 Years

Company Description

• Lowe's is one of the world's leading home improvement retailers and is recognized among the Fortune 100 companies in the United States. The organization serves millions of customers every week through its vast network of home improvement stores and digital commerce platforms. With annual revenues exceeding tens of billions of dollars, Lowe's has established itself as a trusted destination for homeowners, contractors, and businesses seeking products and services related to home improvement, maintenance, renovation, and construction.

• Headquartered in Mooresville, North Carolina, Lowe's operates thousands of retail locations across the United States and employs a large workforce dedicated to delivering exceptional customer experiences. The company continuously invests in technology, analytics, supply chain optimization, and digital transformation initiatives to enhance operational efficiency and customer satisfaction.

• Lowe's India serves as the company's Global Capability Center and acts as a strategic hub supporting technology, analytics, business operations, shared services, and innovation initiatives. Based in Bengaluru, the center houses thousands of professionals who contribute to critical business functions including artificial intelligence, machine learning, omnichannel retail solutions, enterprise systems, merchandising operations, customer experience enhancement, and supply chain excellence.

• The organization promotes innovation through modern work practices, advanced technologies, collaborative environments, and employee development initiatives. Employees gain exposure to global retail operations while working on large scale business challenges that impact millions of customers.

• Lowe's also demonstrates a strong commitment to social responsibility through community development initiatives, disaster relief programs, affordable housing support, workforce development projects, and sustainability efforts that contribute positively to society.

Profile Overview

• Lowe's is seeking an Associate Data Analyst to support merchandising operations and product data management activities across multiple business functions.

• This position is designed for early career professionals who possess strong analytical capabilities and an interest in retail operations, data governance, e-commerce processes, and business analytics.

• The successful candidate will play an important role in maintaining high quality product information and ensuring accurate data representation across digital and omnichannel platforms. The role requires close collaboration with merchants, vendors, business teams, taxonomy specialists, and operational stakeholders.

• The analyst will be responsible for supporting item lifecycle activities, vendor operations, product onboarding processes, data quality initiatives, and enterprise level maintenance activities. Maintaining data accuracy and ensuring compliance with established standards will be central to daily responsibilities.

• Individuals in this role will monitor product data health, investigate issues impacting product availability, identify process gaps, and support business initiatives aimed at improving operational efficiency and customer experience.

• The position provides opportunities to gain exposure to large scale retail operations, vendor management practices, merchandising processes, product lifecycle management, and data governance frameworks.

• Candidates will work with various business systems and analytical tools to review data, identify trends, generate insights, and support informed decision making.

• The role requires strong communication skills, attention to detail, analytical thinking, and the ability to manage multiple priorities while maintaining high levels of accuracy.

• Professionals joining this team will have the opportunity to contribute directly to initiatives that improve business performance, strengthen data quality standards, and enhance the overall customer shopping experience.

About the Team

Merchandising Operations Team

• The Merchandising Operations team supports critical business functions related to product onboarding, vendor management, operational services, data governance, and merchandising enablement.

• Team members focus on ensuring accurate supplier onboarding, vendor profile maintenance, item setup processes, and product information management.

• The team is committed to delivering fast, efficient, and high quality services that support merchants, vendors, and customers across the organization.

• A significant portion of the team's efforts involves maintaining item health, product content quality, launch readiness, and data accuracy.

• The team works closely with stakeholders across multiple departments to improve business processes and streamline merchandising operations.

• Data governance, operational excellence, and continuous improvement remain key priorities for the department.

• Employees contribute to initiatives that improve product visibility, optimize operational workflows, and strengthen overall merchandising performance.

Key Responsibilities

Process Execution

• Execute assigned operational processes according to established procedures and documented guidelines.

• Follow standard operating procedures with a high degree of accuracy and consistency.

• Ensure timely completion of assigned tasks while maintaining quality standards.

• Support daily business operations and contribute to the achievement of departmental goals.

• Maintain compliance with internal policies, operational standards, and business requirements.

Data Management

• Monitor product information and ensure data accuracy across various systems.

• Validate product data and identify inconsistencies requiring correction.

• Maintain product attributes, item information, and associated business records.

• Support item creation, maintenance, modification, and lifecycle management activities.

• Ensure accurate representation of products across digital and omnichannel platforms.

Product Data Governance

• Support initiatives related to product data quality and governance.

• Monitor item health metrics and identify areas requiring corrective action.

• Participate in activities designed to improve data integrity and consistency.

• Help establish and maintain business rules that support long term data quality objectives.

• Contribute to governance efforts that improve overall operational efficiency.

Vendor Operations Support

• Assist with vendor onboarding activities and profile management processes.

• Maintain vendor master data records and ensure information accuracy.

• Respond to vendor inquiries and support issue resolution efforts.

• Manage operational requests and support vendor related business activities.

• Participate in initiatives aimed at improving vendor performance and operational effectiveness.

Business Analysis

• Analyze operational data to identify patterns, trends, and improvement opportunities.

• Generate insights that support business decision making.

• Utilize analytical tools and reporting techniques to evaluate performance metrics.

• Investigate root causes of recurring operational issues.

• Recommend process improvements based on analytical findings.

Collaboration and Communication

• Work closely with merchants, vendors, taxonomy teams, and business stakeholders.

• Share critical information with relevant teams in a timely manner.

• Participate in meetings, discussions, and process improvement initiatives.

• Build productive relationships with internal and external stakeholders.

• Ensure effective communication across multiple business functions.

Continuous Improvement

• Identify process inefficiencies and recommend improvement opportunities.

• Highlight operational risks and process gaps proactively.

• Participate in transformation initiatives aimed at increasing efficiency.

• Support efforts focused on reducing errors and improving service quality.

• Contribute to long term operational excellence objectives.

Qualifications

• Bachelor's Degree from a recognized university or institution.

• Educational background in business, commerce, analytics, engineering, information systems, mathematics, statistics, economics, or related disciplines is beneficial.

• Strong analytical mindset with the ability to evaluate information and identify meaningful insights.

• Ability to work with large volumes of business and operational data.

• Good understanding of business processes and operational workflows.

• Strong attention to detail and commitment to data accuracy.

• Effective written and verbal communication skills.

• Ability to collaborate with cross functional teams and stakeholders.

• Problem solving mindset with the ability to investigate issues and recommend solutions.

• Comfortable working in a fast paced and dynamic business environment.

• Ability to learn new tools, systems, and processes quickly.

• Strong organizational and time management capabilities.

• Ability to prioritize tasks and manage competing deadlines effectively.

• Willingness to participate in training programs and continuous learning initiatives.

• Customer focused mindset with an emphasis on delivering quality outcomes.

• Professional attitude and commitment to achieving business objectives.

Required Skills

Primary Skills

• Knowledge of E Commerce operations and digital retail environments.

• Understanding of Retail Merchandising concepts and processes.

• Strong analytical and troubleshooting capabilities.

• Data validation and data analysis expertise.

• Advanced attention to detail and accuracy.

• Strong communication and stakeholder management skills.

• Proficiency in Microsoft Excel.

• Ability to work with structured and unstructured business data.

Secondary Skills

• Understanding of Product Lifecycle Management concepts.

• Time management and prioritization skills.

• Familiarity with AI enabled productivity tools.

• Process improvement orientation.

• Business operations knowledge.

• Data governance awareness.

Why Join Lowe's

• Opportunity to work with one of the largest home improvement retailers globally.

• Exposure to large scale retail and e-commerce operations.

• Access to modern workplace infrastructure and advanced technologies.

• Opportunity to collaborate with global teams and business leaders.

• Strong learning and career development environment.

• Experience working on high impact projects affecting millions of customers.

• Exposure to analytics, data governance, merchandising, and vendor operations.

• Participation in innovation driven business initiatives.

• Professional growth opportunities within a globally recognized organization.

• Inclusive work culture focused on collaboration, innovation, and employee development.

Additional Info

• This position is based in Bengaluru and follows an onsite work model.

• Candidates with zero to two years of relevant experience are encouraged to apply.

• The role offers an excellent opportunity for fresh graduates and early career professionals seeking exposure to retail analytics and merchandising operations.

• Employees will gain practical experience in product data management, vendor operations, business analytics, and process optimization.

• The position involves working with cross functional stakeholders and supporting strategic business initiatives.

• Strong analytical skills, communication abilities, and attention to detail will be critical for success.

• Individuals who enjoy problem solving, working with data, and improving business processes will find this role rewarding.

• The company values diversity, inclusion, and equal employment opportunities for all employees.

• Lowe's maintains a workplace culture that encourages innovation, continuous learning, professional growth, and operational excellence.

• This role provides a strong foundation for future career growth in analytics, merchandising, retail operations, business intelligence, product management, and data governance domains.

Please click here to apply.