At a Glance
- Tasks: Match returned hardware with lease records and analyse discrepancies for accurate invoicing.
- Company: Join a global leader in managing end-of-lease computer hardware.
- Benefits: Earn up to £13.50 per hour with full training provided.
- Other info: Exciting opportunity for growth in a dynamic processing environment.
- Why this job: Kickstart your career with hands-on experience in data analysis and problem-solving.
- Qualifications: Recent graduates with strong attention to detail and basic Excel skills.
The predicted salary is between 13.5 - 13.5 £ per hour.
The Junior Data Analyst position in Bishopton supports a client that manages end-of-lease computer hardware for global customers.
Working within the End of Lease Returns Team, the role involves matching physically returned equipment against lease records, analysing discrepancies, and ensuring accurate invoicing.
This contract role, paying up to £13.50 per hour, suits recent graduates seeking practical experience.
Key responsibilities include verifying hardware types, from tablets to data centre equipment, and maintaining precise records for sales teams.
Full on-the-job training is provided, making it ideal for those with strong attention to detail and basic spreadsheet proficiency.
The working pattern is full-time, based at the Erskine processing site.
Junior Data Analyst Our Client manages customer-returned End of Lease computer hardware world-wide with the remit to accurately terminate leases andamp; invoice customers accordingly.
They also make available to Sales Teamsa consistent supplyof all types of hardware from tablets, notebooksandamp; printers through to complexdata centersfromall commercial vendors.
The End of Lease Returns Team currently has a vacancy for a Junior Data Analyst and invites recent graduates to apply for this key back office role based in our hardware processing site in Erskine.
This is an exciting early-career development opportunityfor a suitably-qualifiedandmotivated candidate.
On-the-job training will be provided.
- Role
- Match physically-returned hardware with those originally leased
- Analyse customer lease contracts in detail
- Interact with customer-facing specialists in-country
- Terminate lease contracts with a high degree of accuracy
- Resolve complex data comparison issues
- Efficiently prioritise daily tasks
Education
- Recent degree in any discipline
Person specification
- Confident MS Excel user
- Good communicator - written and verbal
- Good problem solver
- Data analysis ability
- Good time manager
- Ability to focus on fine detail
- #J-18808-Ljbffr
Junior Data Analyst in Bishopton employer: JAM Recruitment Ltd
At JAM Recruitment Ltd, we pride ourselves on being an exceptional employer that values the growth and development of our team members. Located in Birmingham, we offer a dynamic work culture that fosters collaboration and innovation, alongside competitive salaries and hybrid working options. With a strong focus on career progression, our employees are empowered to take on leadership roles and make a meaningful impact in the field of personal injury law.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in Bishopton
✨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 JAM Recruitment Ltd!
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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 JAM Recruitment Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Analyst at JAM Recruitment Ltd, 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 Junior Data Analyst in Bishopton
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 JAM Recruitment Ltd, 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 JAM Recruitment Ltd. 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 JAM Recruitment Ltd
✨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 JAM Recruitment Ltd!
✨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.
