At a Glance
- Tasks: Analyse data to enhance warehouse and transport operations using Power BI and automation.
- Company: Join Uniserve, the UK's leading independent logistics provider with a focus on innovation.
- Benefits: Enjoy competitive salary, bonuses, pension scheme, and free eye tests.
- Other info: Opportunities for professional development and a supportive team culture.
- Why this job: Shape the future of data-driven decision-making in a dynamic logistics environment.
- Qualifications: Strong data management skills and proficiency in Power BI and SQL required.
The predicted salary is between 36000 - 60000 £ per year.
Uniserve are the UK's leading independent logistics and trade management provider and driven by a relentless determination to deliver value to customers. We are now seeking a Warehouse & Transport Data Analyst to support this journey and help shape the future of data-driven decision-making across our warehouse and transport operations. This role is central to our Digital & Data Strategy, ensuring the accuracy, efficiency, and visibility of the systems and data that keep goods moving and customers satisfied.
Working closely with operational teams and key stakeholders, you will champion best practice, enhance reporting capability, and unlock opportunities for automation and continuous improvement.
Key Responsibilities- Support the adoption and migration process from manual based reporting, to automated reports via the Fabric/PowerBI toolset
- Support and maintain Power BI reporting (both Paginated, and Interactive) and ETL processes that underpin them
- Ensure data accuracy and integrity
- Oversee and support documentation for new processes, including user manuals and process flow diagrams
- Collaborate with IT and other departments to resolve any technical issues
- Facilitate the integration of new data sources into Fabric Delta Lakes
- Conduct training sessions and workshops to increase data literacy across the team(s)
- Develop strategies to enhance user engagement
- Support the development of Spark/SQL Queries to help transform or extract data
- Provide ongoing support and guidance to users for effective data warehouse utilisation
- Analyse and report on data warehouse usage and suggest improvements
- Design, develop, and maintain PowerBI dashboards and reports for various business needs
- Work closely with stakeholders to understand their data visualisation requirements
- Provide training and support to users on self-serve data sets and utilising PowerBI
- Identify opportunities for automation in preexisting reporting processes
- Develop and automate robust, scalable reports and models
- Strong systems and data management skills gained in the Warehouse and Transport area
- Strong foundation of inventory management and distribution
- Stock Control/Management
- Vehicle Planning & Routing
- Power BI and DAX: Proficiency in data visualisation and query tools
- Microsoft Qualifications i.e. DP-600, PL-300, etc... or equivalent
- Proven ability to drive change and implement improvements
- Ability to write and optimise queries and scripts (SQL) for reporting and data analysis
- SQL/Python/Spark for Big Data and ETL experience (Advantageous)
- Project Management: Experience managing data and BI projects (Advantageous)
- Automation and AI Tools: Familiarity with automation technologies and machine learning/AI principles (Advantageous)
- Supply Chain Qualifications (Advantageous)
Joining our team means you'll not only enjoy a competitive salary and annual reviews, but also some pretty awesome perks:
- Competitive Salary: We value your skills and commitment
- Discretionary Bonus: Because your hard work deserves to be rewarded
- Pension Scheme: We've got your future covered
- Annual Salary Review: Your growth matters to us
- Free Eye Test and £49 Vouchers towards Glasses: Taking care of your vision
- Interest-Free Company Loan: We're here to support you
- Free On-Site Parking: Convenient and hassle-free
- Cycle to work scheme
- Referral Bonus £750: Spread the word and earn some extra cash
- Flu Jabs Annually: Stay healthy, on us
- Electric Vehicle Charging Points at Work: Embrace sustainable transport
- Supply Chain Academy Education Courses: Expand your knowledge, including Masters and MBA programmes
Warehouse & Transport Data Analyst in London employer: Uniserve Group
Uniserve is an exceptional employer, offering a dynamic work environment where data-driven decision-making is at the forefront of our operations. With a strong focus on employee growth, we provide access to educational courses through our Supply Chain Academy, competitive salaries, and a range of benefits including a discretionary bonus and interest-free loans. Join us in our state-of-the-art facilities, where you can thrive in a culture that champions innovation and collaboration while enjoying perks like free parking and electric vehicle charging points.
StudySmarter Expert Advice🤫
We think this is how you could land Warehouse & Transport Data Analyst in London
✨Tip Number 1
Get to know the company inside out! Research Uniserve's values, mission, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their journey.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for the interview by practising common questions related to data analysis and logistics. Think about how your skills in Power BI and SQL can directly benefit Uniserve's operations and be ready to share specific examples.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team and ready to contribute to their data-driven decision-making.
We think you need these skills to ace Warehouse & Transport Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Warehouse & Transport Data Analyst role. Highlight your experience with Power BI, SQL, and any relevant data management skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven decision-making and how you can contribute to our Digital & Data Strategy. Keep it engaging and personal!
Showcase Your Technical Skills:Don’t forget to mention your technical skills, especially in Power BI and SQL. If you've worked on automation or data visualisation projects, share those experiences with us. We love seeing practical examples of your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Uniserve Group
✨Know Your Data Tools
Make sure you brush up on your Power BI and SQL skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in relation to data visualisation and reporting. Showing that you can navigate these platforms will impress the interviewers.
✨Understand the Logistics Landscape
Familiarise yourself with the logistics and transport industry, particularly how data impacts decision-making. Research Uniserve's operations and think about how your skills can enhance their data-driven strategies. This knowledge will help you stand out as a candidate who is genuinely interested in the role.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data management or reporting. Practice articulating your thought process clearly, focusing on how you would approach challenges like improving data accuracy or automating reports. This will demonstrate your analytical skills and problem-solving abilities.
✨Showcase Your Collaborative Spirit
Since the role involves working closely with various teams, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight any experience you have in training others or facilitating workshops, as this will show your ability to enhance data literacy across teams.
