Analyst, Enterprise Fulfillment (SQL)

Role overview

Analyst, Enterprise Fulfillment (SQL) at Lowes India

The primary purpose of this role is to assess, support/design, implement, and roll out initiatives that support last mile operations with driving business results and increase revenue along with profit.

To be successful, the individual in this role must have a strong understanding of analytical techniques and disparate data sources - both internal and external, and strong domain expertise.

Responsibilities

• Analyze fulfillment data across all channels, including Gig, Lowe’s Delivery, PUIS, BOPIS (Buy Online Pickup In-Store) to track performance and identify bottlenecks.
• Deliver quick-turn analytics to answer time-sensitive questions from leadership regarding fulfillment performance, outages, delays, or customer satisfaction.
• Required Minimum Qualifications.

Required qualifications

• Skill Set Required .

Employment details

• Location: Bengaluru [Karnātaka] [India]

Additional role details

• This role will accomplish this through the development and implementation of projects, best practices, and process improvements.
• He / She will also assist his peers in solving for problems as a team .
• Use SQL queries to extract and manipulate large volumes of order fulfillment and logistics data.
• Use Python to automate data processing tasks and apply statistical or machine learning techniques to forecast demand, simulate outcomes, or predict risks (e.g., delayed shipments).
• Leverage Big Data tools (Hive, Spark, Hadoop) to analyze fulfillment patterns across millions of transactions at scale.
• Measure the business impact of initiatives like new routing logic, optimized pricing and delivery options, curbside pickup enhancements, or smart sourcing strategies.
• Translate complex data findings into actionable insights that influence fulfillment strategy, process improvement, and technology investment.
• Overall 2+ years of Experience . 2+ years of experience in a data analyst, business analyst, or supply chain analytics role. 2 years’ experience in Supply Chain . 2+ years’ experience reporting and data analytics . 2+ years’ experience of project management .
• Education Qualification & Certifications (optional) .
• Bachelor’s degree in Analytics, Supply Chain, Statistics, Computer Science, Business, or related field.
• MBA or Masters degree in Supply Chain .
• Understanding of fulfillment operations, logistics, and/or e-commerce order lifecycle.
• Strong proficiency in SQL and Python for data analysis and automation.
• Familiarity with Big Data tools (Hive, Hadoop,Spark,GCP) and working with large-scale datasets.
• Experience in omni-channel retail or e-commerce fulfillment analytics.
• Proficiency with data visualization tools like Tableau, Power BI, or Looker.
• Familiarity with labor management systems, task management platforms, and in-store mobile technology.
• Exposure to cloud-based data platforms (e.g., Snowflake, Redshift, BigQuery).
• Knowledge and proficiency in statistical modeling techniques.
• Soft Skills .
• Excellent communication and interpersonal skills.
• Strong business acumen and ability to connect analytics to operational goals.
• Self-motivated, detail-oriented, and capable of managing multiple priorities.
• Team player who thrives in a collaborative, fast-paced environment .
• Comfortable interpreting ambiguous requirements and delivering clear, data-supported insights.