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- Tasks: Analyze supply chain and logistics data to drive transformation in warehouse operations.
- Company: Join a scale-up tech eCommerce platform revolutionizing last-mile delivery with diverse product offerings.
- Benefits: Enjoy a competitive salary, private medical, bonuses, hybrid work, and employee discounts.
- Why this job: Be part of an entrepreneurial team tackling real-world challenges in a fast-paced environment.
- Qualifications: 5 years in analytics or data science; SQL expertise required; Python/R knowledge is a plus.
- Other info: Full right to work in the UK is mandatory; no sponsorship available.
The predicted salary is between 65000 - 80000 £ per year.
Quest Search & Selection are currently partnering with a scale up tech eCommerce platform & Last Mile Delivery. This business offers an extensive range of products including household essentials, medication, office supplies, groceries, and even fresh prepared food!
The role of Data Analyst – Warehouse & Distribution will drive transformation in this division by analysing supply chain, logistics, and warehouse data.
With operations spanning multiple warehouses and end delivery points, you’ll tackle challenges like fluctuating demand, optimising routes, reducing waste, and ensuring timely fulfilment.
Key responsibilities of this Senior Data Analyst – Warehouse & Distribution:
- Evaluate and enhance key metrics like delivery times, warehouse capacity, order fulfilment, and logistics processes to reduce delays, improve cost efficiency, and boost customer satisfaction.
- Collaborate with the operations team to align warehouse activities with business goals, focusing on stock inbounding and storage optimisation.
- Build and maintain advanced data models to address complex operational challenges,
- Partner with regional distribution managers, warehouse managers and customer service teams to translate data insights into clear, strategic, and actionable recommendations.
- Address issues like last-mile delivery hurdles and warehouse inefficiencies by providing practical data-driven solutions in a fast-paced dynamic environment
Key requirements of Senior Data Analyst – Warehouse & Distribution:
- Ideally having 5 years of experience in analytics or data science, preferably in operational, supply chain, logistics, warehouse or distribution.
- The business is open to experience in Investment Banking as Senior Associate/VP level looking to get into a scale-up business.
- Full Right to Work in the UK – the role doesn\’t offer sponsorship
- Familiarity with the intricacies of last-mile delivery, logistics optimisation, and warehouse management.
- Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets.
- You must have the full right to work in the UK (the business doesn’t offer sponsorship).
- Experience with Python or R, is a plus.
- Development experience with BI platforms such as Looker, Tableau, or Power BI.
- Skilled at conveying complex data insights in a clear, engaging manner, tailored to both technical and non-technical audiences.
- Passionate about solving problems and thriving in dynamic, fast-paced environments
Benefits included for Senior Data Analyst – Warehouse & Distribution:
- Salary between £65,000 – £80,000 DOE
- Private Medical
- Bonus
- RSU
- Hybrid role – 3 days in the office
- Employee discount.
- Career growth opportunities.
- Annual performance appraisal
This is a great opportunity, if you have the right skill sets to be part of an entrepreneurial team where you will be involved in the company’s most critical operation.
If this role is of interest, please do apply today!
Senior Data Analyst - Warehouse & Distribution employer: Quest Search and Selection
Contact Detail:
Quest Search and Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Warehouse & Distribution
✨Tip Number 1
Familiarize yourself with the specific challenges of last-mile delivery and warehouse management. Understanding these intricacies will help you demonstrate your knowledge during interviews and show how you can contribute to solving these issues.
✨Tip Number 2
Brush up on your SQL skills, as expert proficiency is a key requirement for this role. Consider working on sample projects or datasets that mimic real-world logistics scenarios to showcase your ability to write structured and efficient queries.
✨Tip Number 3
Prepare to discuss your experience in analytics or data science, particularly in operational contexts. Be ready to share specific examples of how you've used data to drive improvements in supply chain or logistics processes.
✨Tip Number 4
Highlight any experience you have with BI platforms like Looker, Tableau, or Power BI. Being able to convey complex data insights clearly to both technical and non-technical audiences will set you apart from other candidates.
We think you need these skills to ace Senior Data Analyst - Warehouse & Distribution
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Senior Data Analyst position. Tailor your application to highlight your relevant experience in analytics, supply chain, and logistics.
Highlight Relevant Skills: Emphasize your proficiency in SQL and any experience with Python or R. Mention your familiarity with BI platforms like Looker, Tableau, or Power BI, as these are crucial for the role.
Showcase Problem-Solving Abilities: Provide examples in your application that demonstrate your ability to solve complex operational challenges. Highlight any past experiences where you improved efficiency or customer satisfaction through data-driven solutions.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your passion for working in a fast-paced environment and your interest in the company's mission. Make it engaging and tailored to the specific role.
How to prepare for a job interview at Quest Search and Selection
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to solve operational challenges in previous roles. Highlight your experience with SQL and any BI tools you've worked with, as these are crucial for the position.
✨Understand the Business Model
Familiarize yourself with the eCommerce and last-mile delivery landscape. Be ready to discuss how you can leverage data to optimize logistics and improve customer satisfaction, demonstrating your understanding of the company's operations.
✨Communicate Clearly
Practice explaining complex data insights in a straightforward manner. Since you'll be working with both technical and non-technical teams, being able to convey your findings clearly will be key to your success.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss past experiences where you've tackled inefficiencies or challenges in a fast-paced environment. Show your passion for problem-solving and how you can bring that mindset to their team.
