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- Tasks: Analyse logistics data to optimise performance and reduce costs while ensuring compliance.
- Company: MJ Quinn is a leading UK infrastructure services provider focused on quality and innovation.
- Benefits: Enjoy free parking, 33 days holiday, employee bonuses, and gym discounts.
- Why this job: Join a dynamic team making a real impact in logistics with cutting-edge technology.
- Qualifications: Bachelor’s degree or 3+ years experience in Data Analytics or related field required.
- Other info: Diversity and sustainability are core values at MJ Quinn, welcoming all backgrounds.
The predicted salary is between 24500 - 25500 £ per year.
Salary l £28,500- £30,000
Working Hours l Monday- Friday 8am-4pm (37.5 hrs)
ABOUT MJ QUINN
MJ Quinn Integrated Services Ltd is a UK-based company specialising in delivering end-to-end infrastructure services across multiple industries, including telecommunications, utilities, and mechanical and electrical engineering. Established with a commitment to quality and innovation, MJ Quinn provides tailored solutions that integrate design, installation, maintenance, and project management. The company partners with leading organisations to execute complex projects, leveraging cutting-edge technology and a skilled workforce to ensure efficient and reliable service delivery. MJ Quinn’s customer-focused approach and dedication to sustainability have solidified its reputation as a trusted provider in the infrastructure services sector.
At MJ Quinn, our purpose is to play a vital role in maintaining and enhancing critical infrastructure, connecting and supporting communities and businesses across the UK
DEPARTMENT OVERVIEW
The Logistics function consists of several departments: Asset Management, Fleet, Inventory, Supply Chain and Stores. Together they provide shared services to the MJ Quinn Telecoms and Energy divisions.
The Logistics Systems and Data Analyst role will site within the Asset Management department but will be a shared resource for the whole of the Logistics function.
The Asset Management department is a key part of the Logistics function. The department ensures that testing equipment and assets for use by in-field engineers are fit for purpose and compliant with relevant regulations.
JOB OBJECTIVE
The Logistics Systems and Data Analyst will be responsible for analysing Logistics data to optimise performance, reduce costs, and ensure regulatory compliance. The role involves generating reports, identifying trends and opportunities for improvement across the various departments of the Logistics function. The Logistics Systems and Data Analyst will work with key stakeholders in Logistics to provide reports and carry out data analysis as required by the business.
KEY RESPONSIBILITIES
The key responsibilities for this role include, but are not limited to, the following:
- Working with key stakeholders to determine the data to be collected and analysed
- Developing system knowledge to be able to obtain the required data for reporting
- Collecting, analysing, and interpreting data from various Logistics systems, including 365 Inventory Management, SAP and the relevant Asset Management and Fleet systems
- Generating regular and ad-hoc reports for senior management on key performance indicators (KPIs) and operational metrics
- Developing processes for collection of operational data, such as pick accuracy
- Generating a data dashboard for each of the Logistics departments
- Utilising data collection software, such as PowerBI, to optimise reporting capabilities
- Identifying patterns and trends in data to inform decision-making, reduce operational costs, and improve efficiencies
- Ensuring data integrity and accuracy within the relevant management systems, identifying and resolving discrepancies
- Collaborating with IT teams and software vendors to troubleshoot system issues and ensure the seamless operation of all relevant systems
- Presenting data findings and actionable insights to leadership and other non-technical stakeholders in a clear and concise manner
- Acting as lead for the implementation, monitoring and management of any supplier system API’s, or supplier hosted portals
- Acting as technical lead for the identification, scoping and implementation of any in-house Logistics system developments
- Producing, reviewing and updating user guides for the core Logistics systems
- Assisting in the delivery of training and ongoing support on the core Logistics systems
- Assisting in ensuring GDPR compliance within the Logistics function
- Assisting in the data management including storage, access and retention, in the Logistics function
- Ability to work independently, and at the same time collaboratively with the various stakeholders within the Logistics function
EXPERIENCE
Essential
- Experience working in a Data Analytics role, preferably within Logistics, Warehousing or Fleet Management
- Demonstrated experience working with database querying and data visualisation tools (e.g. Power BI, Visio, 365)
Desirable
- Experience with Inventory Management systems, including SAP and 365
- Experience working with Fleet management software, telematics, incident databases
- Experience working within the Telecommunications industry an advantage
SKILLS
Essential
- Advanced Microsoft Excel skills, including pivot tables, lookups and use of Macros
- Analytical and problem-solving skills, with a focus on data-driven decision making
- Organisational and planning skills, with the ability to manage multiple projects simultaneously
- Ability to communicate effectively within all levels of the business, presenting complex data in a suitable format for the required audience
- Strong attention to detail
- Ability to work independently, and at the same time collaboratively with the various stakeholders within the Logistics function
QUALIFICATIONS AND EDUCATION REQUIREMENTS
Essential
- Bachelor’s degree or 3+ years equivalent experience in Data Analytics, Computer Science, or a related field
Desirable
- Technical qualifications in data analytics systems
BENEFITS:
- Free Parking
- 33 days holiday (25 + Bank holidays)
- Employee Bonus Scheme
- Healthcare Cashback Plan
- Employee Assistance Programme
- Cycle to Work Scheme
- Company Contribution Pension Scheme
- Parental Leave and Pay
- Employee Reward and Recognition
- Learning and Development Opportunities
- Gym & Retail Discounts.
- Life Assurance Benefit
DIVERSITY STATEMENT
MJ Quinn’s are committed to promoting an environment that values diversity. All staff are responsible for ensuring that all employees, customers, suppliers, and visitors are treated equally and fairly and not discriminated against on the grounds of age, disability, gender reassignment, marriage & civil partnerships, pregnancy & maternity, race, religion or belief, sex or sexual orientation.
We welcome applications from a diverse range of candidates regardless of their background, disability or gender and is committed to creating a workforce as diverse as the communities we serve.
SUSTAINABILTY
MJ Quinn is committed to, and is investing in, a sustainable future as this is vital for the planet, our communities, customers, and business. Our sustainability goals are shaped in accordance with wider business objectives and the core foundations of sustainable development.
We have a strong history of engaging with our people and we view sustainability no differently. For MJ Quinn this means creating space for proactive participation in the discussions that shape our sustainability aspirations, learning opportunities at all levels, and harnessing employee passion.
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LOGISTIC SYSTEMS & DATA ANALYST employer: Mj Quinn Integrated Services Ltd
Contact Detail:
Mj Quinn Integrated Services Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LOGISTIC SYSTEMS & DATA ANALYST
✨Tip Number 1
Familiarise yourself with the specific logistics systems mentioned in the job description, such as SAP and Power BI. Having hands-on experience or even completing online tutorials can give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the logistics and data analytics fields. Attend industry events or join relevant online forums to connect with people who work at MJ Quinn or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your analytical skills in detail. Be ready to share specific examples of how you've used data to drive decisions or improve processes in previous roles, especially in logistics or related fields.
✨Tip Number 4
Research MJ Quinn’s recent projects and initiatives, particularly those related to sustainability and innovation. Being knowledgeable about the company’s values and goals will help you align your answers during the interview and demonstrate your genuine interest.
We think you need these skills to ace LOGISTIC SYSTEMS & DATA ANALYST
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly within logistics or fleet management. Use keywords from the job description to demonstrate that you meet the essential criteria.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Logistics Systems and Data Analyst role at MJ Quinn. Mention specific skills, such as your proficiency with Power BI and Excel, and how they align with the responsibilities outlined in the job description.
Showcase Your Analytical Skills: Provide examples of past projects where you've successfully analysed data to improve performance or reduce costs. Highlight any experience with database querying and data visualisation tools, as these are crucial for the role.
Prepare for Potential Questions: Think about how you would present complex data findings to non-technical stakeholders. Be ready to discuss your approach to ensuring data integrity and compliance, as well as your experience with logistics systems like SAP and 365.
How to prepare for a job interview at Mj Quinn Integrated Services Ltd
✨Know Your Data Tools
Familiarise yourself with the data visualisation tools mentioned in the job description, especially Power BI and Excel. Be prepared to discuss how you've used these tools in previous roles to analyse data and generate reports.
✨Understand Logistics Systems
Research MJ Quinn's logistics systems, particularly 365 Inventory Management and SAP. Showing that you understand how these systems work will demonstrate your readiness to contribute effectively from day one.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills and ability to analyse data. Prepare examples of how you've identified trends or improved efficiencies in past roles, as this aligns closely with the responsibilities of the position.
✨Communicate Clearly
Since you'll be presenting data findings to non-technical stakeholders, practice explaining complex data in simple terms. This will showcase your communication skills and your ability to make data-driven insights accessible to everyone.
