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Senior Analyst, Merch Ops Analytics

Lowe's India
Bengaluru, IND
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
Retail analyticsSQLPower BIMicrosoft ExcelStatistical analysisData modeling

Full Job Posting

Workplace

  • This position is based at Lowe's on-site office in Bengaluru.

Team and job summary

The Merch Ops Analytics team supports Assortment Planning through item-level planning across Lowe's stores.

The team uses analytics to optimize assortments through SKU rationalization, product line reviews, and strategic initiatives.

The Senior Analyst partners with Merchandising to deliver insights and recommendations on product categories and merchandising strategy.

Core responsibilities

  • Support product line reviews, business reviews, and strategic initiatives through collaboration with peers and functional teams.
  • Develop and maintain scorecards and analyze root-cause drivers of performance.
  • Provide actionable performance analysis and insights that enable informed business decisions.
  • Prepare financial and non-financial analyses using multiple data sources.
  • Translate insights into clear, understandable themes and recommendations for leaders.
  • Identify additional research and analytics needed to improve solutions.
  • Coordinate with cross-functional teams to ensure project continuity and strategic alignment.
  • Adapt to changing priorities, pursue new knowledge, and seek feedback.

Experience and education

  • 3+ years of data analytics experience.
  • Bachelor's degree in Engineering, Statistics, Economics, or another quantitative discipline, or MBA/PGDM.

Required skills

  • Retail analytics, Power BI, SQL, advanced Excel, statistical analysis, data modeling, and data visualization.
  • Business insights, stakeholder management, and strong communication and articulation skills.
  • Complex SQL data wrangling and data extraction across Teradata and Hadoop databases.
  • Advanced Excel reporting and dashboard creation.
  • Cross-functional and global partner collaboration.
  • End-to-end project execution and stakeholder engagement.
  • Understanding of retail math and statistics.

Desired skills

  • Python, SAS, or R experience for big-data transformations is preferred.
  • Power BI, MicroStrategy, or Tableau experience is preferred.
  • Retail category analytics experience directly supporting merchants is desired.
  • Advanced modelling and statistical techniques for merchandising business problems are desired.

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