Sr Analyst DACI Analytics_Hadoop_BigQuery_SQL

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.

About Lowe’s India: At Lowes India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowes. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowes has a competitive edge in the market.

To know more about Lowes India, visit Lowes.co.in

About The Team

The team is responsible for analytics delivery strategy across Pricing, Promotion & Competitive Intelligence (PPCI) product portfolio. We work closely with business stakeholders and engineering teams to deliver analytical solutions for Data Intelligent products.

Job Summary

The Senior Analyst plays a key role in delivering data-driven insights to support Pro & Promotions Data Intelligence. This role involves conducting quantitative analysis, ensuring data accuracy, and translating findings into actionable recommendations for product development. Key responsibilities include:

• Gathering, wrangling, and analyzing disparate data sources using best practices.
• Performing statistical and quantitative analysis to identify trends and anomalies.
• Collaborating with Product Managers, Analysts and Engineers to achieve product goals.
• Utilizing SQL and/or Python to query, summarize, and visualize data for stakeholders.
  
  

• Strong Analytical & Technical Skills – Independently select the best tools and methods to deliver relevant insights and recommendations.
• Data Domain Expertise – Become a subject matter expert in the relevant data domain.
• Advanced Analytics & Insights – Apply statistical techniques to drive actionable recommendations, handling small projects with minimal oversight.
• Data Accuracy & Reporting – Ensure reliable data and metrics for reporting and analytics.
• Process Automation – Identify and implement automation opportunities for recurring manual tasks.
• Cross-functional Collaboration – Work with data engineers, software engineers, data scientists, and product managers to develop data-driven solutions.
• Continuous Learning – Stay updated on business solutions, tools, and frameworks while expanding skill sets through peer collaboration.
  
  

• 5-8 years of experience
• 3+ years experience in analytical role along with proficiency in SQL & Visualization tools and techniques
  
  

• Bachelor’s 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
  
  

• Masters degree in business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 1 year of related experience
  
  

• 3+ years’ hands-on experience with enterprise databases/data warehouses (e.g., Hadoop, Big Query, Teradata)
• Proficient in SQL for complex queries, data extraction, and transformation
• 3+ years’ experience with data visualization tools (e.g., Power BI, Looker, MicroStrategy, Tableau, Superset)
• Skilled in structuring, cleaning, and enriching large datasets; adept at data validation, outlier detection, and root cause analysis
• Ability to translate complex business problems into actionable analytical requirements
• Strong communication skills for conveying insights and recommendations to stakeholders
• Committed to continuous learning in math, science, technology, and business
  
  

• Experience with Python or PySpark for data analysis and processing
• Familiarity with Agile methodologies
• Proficient with work management tools (e.g., Jira, Bitbucket)
• Ability to develop, maintain, and enhance descriptive and predictive analytics models supporting Lowe’s Pricing & Promotions strategy
• Prior experience in Pricing/Promotions preferred (not mandatory)
• Background in retail analytics preferred