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About the role
As an Analyst in the Omni Fulfilment team at Lowe's India, your primary role is to assess, support/design, implement, and roll out initiatives that enhance last mile operations, drive business results, and increase revenue and profit. You will achieve this by developing and implementing projects, best practices, and process improvements to provide customers with competitive fulfillment options and a frictionless experience. Key Responsibilities: - Analyze fulfillment data across all channels (Gig, Lowe's Delivery, PUIS, BOPIS) to track performance and identify bottlenecks. - Utilize SQL queries to extract and manipulate large volumes of order fulfillment and logistics data. - Use Python for automating data processing tasks and applying statistical or machine learning techniques for forecasting demand, simulating outcomes, or predicting risks. - Leverage Big Data tools (Hive, Spark, Hadoop) to analyze fulfillment patterns across millions of transactions at scale. - Measure the business impact of initiatives such as 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. - Provide quick-turn analytics to address time-sensitive questions from leadership regarding fulfillment performance, outages, delays, or customer satisfaction. Qualifications Required: - Overall 2+ years of experience in a data analyst, business analyst, or supply chain analytics role. - 2 years' experience in Supply Chain. - 2+ years' experience in reporting and data analytics. - Bachelor's degree in Analytics, Supply Chain, Statistics, Computer Science, Business, or related field. - MBA or Master's degree in Supply Chain. Skill Set Required: Primary Skills (must have) - 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. In this role, your success will depend on your analytical skills, domain expertise, and ability to provide innovative solutions to drive business growth and enhance customer experience. As an Analyst in the Omni Fulfilment team at Lowe's India, your primary role is to assess, support/design, implement, and roll out initiatives that enhance last mile operations, drive business results, and increase revenue and profit. You will achieve this by developing and implementing projects, best practices, and process improvements to provide customers with competitive fulfillment options and a frictionless experience. Key Responsibilities: - Analyze fulfillment data across all channels (Gig, Lowe's Delivery, PUIS, BOPIS) to track performance and identify bottlenecks. - Utilize SQL queries to extract and manipulate large volumes of order fulfillment and logistics data. - Use Python for automating data processing tasks and applying statistical or machine learning techniques for forecasting demand, simulating outcomes, or predicting risks. - Leverage Big Data tools (Hive, Spark, Hadoop) to analyze fulfillment patterns across millions of transactions at scale. - Measure the business impact of initiatives such as 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. - Provide quick-turn analytics to address time-sensitive questions from leadership regarding fulfillment performance, outages, delays, or customer satisfaction. Qualifications Required: - Overall 2+ years of experience in a data analyst, business analyst, or supply chain analytics role. - 2 years' experience in Supply Chain. - 2+ years' experience in reporting and data analytics. - Bachelor's degree in Analytics, Supply Chain, Statistics, Computer Science, Business, or related field. - MBA or Master's degree in Supply Chain. Skill Set Required: Primary Skills (must have) - 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 to
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