At a Glance
- Tasks: Use data to solve operational challenges and improve team performance.
- Company: Join a global leader in supply chain management with a collaborative culture.
- Benefits: Generous pension scheme, 24/7 GP consultations, and lifestyle discounts.
- Other info: Fast-paced environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Curiosity, problem-solving skills, and a willingness to learn.
The predicted salary is between 36000 - 44000 £ per year.
Pay Rate: 27,562.74
Grade: RCS O
Contract Type: Permanent (Full-Time)
Shift patterns: Working Monday to Friday, 6am-2pm & 2pm-10pm on rotation
Location: Manton Wood - Worksop
Are you curious, detail-focused and someone who enjoys understanding the “why” behind the numbers? We're looking for positive, motivated people to join our growing Centralised Control Room team, using data and insight to solve real operational challenges and help teams perform at their best. This is much more than a traditional Data Analyst role. You'll work with colleagues across multiple sites, getting into the detail, identifying root causes and turning insight into practical action that can directly influence productivity and performance. You don't need to know everything from day one. Whether your experience comes from operations, planning, performance, data or another transferable background, what matters most is that you're curious, comfortable asking questions, enjoy solving problems and are keen to learn. If you want a role where your ideas are valued, your work has a visible impact and you can develop while helping shape how we work in the future, we'd love to hear from you.
A TYPICAL DAY MAY INVOLVE:
- Using data to spot opportunities, explore the detail and turn insight into action, helping teams improve productivity and operational performance
- Monitoring performance across multiple sites, using strong attention to detail to identify trends, exceptions and anomalies that need attention
- Working with colleagues and managers to understand challenges, identify root causes and find practical solutions
- Providing clear, timely and accurate performance insights that help teams make informed resource and operational decisions
- Supporting daily performance routines, bringing together the right information and helping teams focus on what matters most
- Investigating performance and data issues, drilling into the granular detail to understand what's driving the result and working with others to resolve issues
- Providing insight to support key management routines including performance reviews, 1:1s, Gemba walks and process confirmation
This is a fast-paced Data Analyst role that offers much more than reporting. If you're naturally curious, enjoy getting into the detail and want to understand the 'why' behind the numbers, you'll have the opportunity to turn data into action and directly influence how our operations perform.
THIS ROLE WOULD SUIT PEOPLE WHO:
- Are curious, positive and enjoy solving problems
- Like working with data, but also enjoy working with people and making a difference
- Can communicate clearly and are comfortable asking questions and sharing ideas
- Are organised, adaptable and comfortable in a changing operational environment
- May have experience in operations, planning, performance or data, but equally may bring transferable skills and a willingness to learn
- Digitally confident and technically minded, with experience using multiple systems, digital solutions or data tools, and are comfortable learning new technologies and understanding how different systems work together
WHY JOIN US?
- Join our generous pension scheme and benefit from an 8% employer contribution, alongside a 4% employee contribution
- Free confidential 24/7 GP consultations
- Hundreds of retail and lifestyle discounts
- Affordable loans, savings schemes and free mortgage advice
WHO WE ARE
We're the global leaders in supply chain management with 188,000 people in over 50 countries. Our expert teams work together to deliver for our customers across a range of industries including retail, automotive, healthcare and more.
BUILDING AN INCLUSIVE WORKPLACE
At DHL, we're all about creating a workplace where everyone's skills and experiences matter, and where you can be your true self every day. As proud supporters of the Armed Forces Covenant, we value the skills and experience of ex-service personnel and are dedicated to helping our veterans find jobs.
Data Analyst - Operational Resource & Performance Management employer: Deutsche Post DHL
DHL is an exceptional employer, offering a dynamic work environment where innovation and leadership thrive. As the General Manager of a cutting-edge logistics facility, you'll not only shape operational strategies but also foster a high-performing culture that values inclusivity and employee growth. With comprehensive benefits including a generous pension scheme, access to 24/7 GP consultations, and numerous lifestyle discounts, DHL is committed to supporting your professional journey while ensuring you can make a meaningful impact in the logistics industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Operational Resource & Performance Management
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Deutsche Post DHL!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst - Operational Resource & Performance Management at Deutsche Post DHL.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Deutsche Post DHL.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Operational Resource & Performance Management at Deutsche Post DHL, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst - Operational Resource & Performance Management
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Deutsche Post DHL, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Deutsche Post DHL. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Deutsche Post DHL
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Deutsche Post DHL!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
