Analyst, Enterprise Fulfillment (SQL)

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