At a Glance
- Tasks: Collect and analyse data, validate information, and support engineers with customer queries.
- Company: Join a dynamic operations team in a professional office environment.
- Benefits: Hybrid working, local parking, and opportunities for career growth.
- Other info: Fast-paced role with a supportive team and flexible working arrangements.
- Why this job: Kickstart your career in data analysis with hands-on experience and training.
- Qualifications: Degree in Maths, Science or similar; strong Excel skills required.
The predicted salary is between 28800 - 48000 £ per year.
A fantastic new permanent opportunity to join a busy operations team as a Data Collector and Analyst. This is a junior level position that would ideally suit a Graduate holding either a Maths or Science related degree or similar. The main purpose of the role is to pick up validation and the investigation of data, reviewing and arranging jobs for Engineers and handling any supplier or customer queries. Arranging delivery of equipment and updating customers with any changes. This is an analytical role using various in-house systems, Excel and Word. Communication with customers is predominantly through email using Outlook and attending teams’ meetings. The role is varied and busy and this is a great opportunity to start your career within a commercial, professional office environment. After full training is complete, the role offers hybrid working of two days in the office and three days working from home every week. There is plenty of local parking available and the office is a short walk from a train station.
Skills/experience/attributes required:
- Degree educated is essential, ideally Maths, Science or similar
- Some kind of professional working experience/admin and customer service experience
- Confident with Word, Excel and Outlook – Excel especially
- Comfortable with using Teams
- Strong communication skills, written and verbal
- Analytical mind and an interest in data
- Accurate with a high attention to detail
- Enjoys working as part of a team but also under own initiative
- Fast learner and enjoys learning new skills
Data Collector and Analyst in Horley employer: Better Days Recruitment Ltd
Better Days Recruitment Ltd is an excellent employer that prioritises employee growth and development, offering a supportive environment where you can enhance your skills as a Junior Software Test Engineer. With the flexibility of hybrid working in Surrey, you will enjoy a balanced work-life dynamic while benefiting from comprehensive training and a collaborative culture that values teamwork and innovation.
Contact Details:
Better Days Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Collector and Analyst in Horley
✨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 Better Days 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 Better Days Recruitment Ltd.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Collector and Analyst in Horley
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 Better Days 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 Better Days 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 Better Days 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 Better Days 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.
