At a Glance
- Tasks: Analyse and manage data to support operational decisions in a dynamic control room environment.
- Company: Join DHL, the world's leading logistics company, where your work makes a real difference.
- Benefits: Enjoy 33 days annual leave, free parking, and a generous pension scheme.
- Other info: Flexible working hours and opportunities for continuous improvement and career growth.
- Why this job: Be part of a team that drives efficiency and productivity through data insights.
- Qualifications: Proficient in Microsoft Excel with strong analytical and communication skills.
The predicted salary is between 27499 - 27499 £ per year.
Pay Rate: £27,499.50
Grade: O
Contract Type: Permanent (Full-Time)
Shift patterns: Monday to Friday - 10.00am - 6.30pm (can be slightly flexible on start times)
Location: Gloucester GL3 4AQ
A TYPICAL DAY MAY INVOLVE:
- Collecting, cleaning, and analysing large volumes of productivity and operational data for the central Tradeteam hub using Microsoft Excel.
- Building and maintaining Pivot Tables and Pivot Charts to track key performance indicators (KPIs) such as throughput, pick rates, and accuracy.
- Identifying trends, patterns, and anomalies in daily and weekly performance data to support operational decision-making.
- Producing detailed reports and dashboards to communicate insights clearly to stakeholders across the business.
- Working closely with operational teams to investigate performance issues, using data analysis to support root cause identification and problem-solving.
- Troubleshooting system and equipment queries by analysing error logs, workflow data, and operational outputs.
- Supporting continuous improvement initiatives by recommending data-driven solutions to enhance efficiency and productivity.
- Engaging with team leaders and management at all levels, translating complex data into actionable insights.
- Completing administrative and reporting tasks, ensuring accuracy and consistency in all data records.
THIS ROLE WOULD SUIT PEOPLE WHO:
- Are highly proficient in Microsoft Excel, including advanced functions such as Pivot Tables, VLOOKUP/XLOOKUP, data validation, and conditional formatting.
- Have strong analytical skills, with the ability to interpret data, identify trends, and make evidence-based recommendations.
- Possess excellent attention to detail and a high level of accuracy when working with data.
- Demonstrate strong interpersonal and communication skills, with the ability to explain data insights to non-technical stakeholders.
- Are well-organised, with effective workload management and the ability to prioritise tasks in a fast-paced environment.
- Have a proactive mindset, with a continuous improvement approach to processes and performance.
WHY JOIN US?
- Free parking and on-site rest areas.
- 33 days annual leave, including BH.
- 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.
Visit https://careers.dhl.com/global/en/working-at-dhl-supply-chain to learn more.
Control Room Data Administrator in Gloucester employer: DHL Germany
DHL Supply Chain is an exceptional employer, offering a dynamic work environment in Gloucester where your contributions truly matter. With a strong focus on employee growth, we provide extensive benefits including generous annual leave, a robust pension scheme, and access to free GP consultations, all while fostering a culture of continuous improvement and collaboration. Join us to be part of a team that values your skills and supports your professional development in the fast-paced logistics industry.
StudySmarter Expert Advice🤫
We think this is how you could land Control Room Data Administrator in Gloucester
✨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 DHL Germany!
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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 DHL Germany.
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We think you need these skills to ace Control Room Data Administrator in Gloucester
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!
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Craft a Tailored Cover Letter:For a full-time role at DHL Germany, 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 DHL Germany. 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 DHL Germany
✨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!
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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 DHL Germany!
✨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.
