Gopuff is the go-to solution for immediate everyday needs, fulfilling customer orders of cleaning and home products to food and drinks, and in some markets, alcohol - in just minutes.As a Lead Data Analyst, Operations, you will be at the forefront of transforming how our delivery and warehouse operations function. In this role, you’ll dive deep into the heart of our supply chain, logistics, and warehouse management to uncover insights that will streamline processes and improve efficiency.Our operations span multiple warehouses and delivery points, facing the daily challenges of managing fluctuating demand, optimizing delivery routes, reducing waste, and ensuring timely fulfillment. This is an opportunity for a highly analytical individual who is excited by solving tough operational problems and who thrives in fast-paced, dynamic environments.

You Will:

Drive Operational Efficiency: Analyse and enhance key metrics related to delivery times, warehouse capacity, order fulfilment, and logistics operations. Your insights will directly impact how we optimise our delivery operations to reduce delays, improve cost-efficiency, and enhance customer satisfaction.
Deep Dive into Warehouse Operations: Work closely with our operations team to ensure our warehouse functions are aligned with overall business goals. You'll investigate key areas such as stock inbounding and storage optimisation.
Data at the Core: Build and maintain advanced data models that provide clarity and insight into complex operational challenges. You’ll be a key player in ensuring that data is accessible and actionable to drive day-to-day decision-making across our logistics and delivery network.
Collaborate with Stakeholders: Partner with regional managers, store general managers, delivery operations leads, and the customer service team to translate data into strategic recommendations. You'll ensure that data insights are not only clear but actionable for those on the ground.
Tackle Real-World Challenges: From last-mile delivery hurdles to warehouse bottlenecks, this role requires someone who can navigate ambiguity and provide practical, data-driven solutions. This is not a role for someone who wants to stay behind the scenes; we need a hands-on analyst who can get into the details of operations and drive tangible improvements.

You Have:

5+ years in Data Analytics: Experience with data analysis in operational or logistics-heavy environments, such as e-commerce, retail, or distribution centre's.
Proven Experience in Delivery & Warehouse Operations: Familiarity with the intricacies of last-mile delivery, logistics optimisation, and warehouse management.
Expertise in SQL: Strong command of SQL for querying large datasets and developing complex, automated reports. Knowledge of Python or R is a plus.
Tools Mastery: Experience with BI tools such as Looker, Tableau, or Power BI. Experience with dbt is a requirement, DataBricks is an advantage.
Strong Communicator: Ability to present complex data insights clearly and compellingly to both technical and non-technical stakeholders.
Problem-Solver: You’re not afraid of diving into operational complexity, identifying challenges, and providing clear solutions that work on the ground.
Curiosity and Drive: A passion for problem-solving and the ability to thrive in a fast-paced, ambiguous environment. You’ll be excited to tackle operational pain points and make our systems better, faster, and more efficient.

Benefits:

A high-impact role where you’ll be directly involved in the company’s most critical operations.
Company RSU’s (Company Shares)
Private Medical + Dental cover
Annual performance appraisal and bonus
Employee Discount + FAM membership
Career growth opportunities

Job Type: Full-time

Pay: £50,000.00-£80,000.00 per year

Work Location: Hybrid remote in London, N1 6PB

goPuff - Operations jobs

Lead Data Analyst, Operations