At a Glance
- Tasks: Support Children's Services by managing referrals, maintaining records, and producing reports.
- Company: Join Carrington Blake Recruitment, a leader in business support and transformation.
- Benefits: Enjoy hybrid working, competitive pay, and valuable experience in a supportive environment.
- Other info: Part-time role with flexible hours and a fixed-term contract until March 2027.
- Why this job: Make a difference in children's lives while developing your skills in a dynamic team.
- Qualifications: Experience in business support and handling confidential information is essential.
The predicted salary is between 13.05 - 13.05 £ per hour.
Carrington Blake Recruitment is seeking an experienced Business Support Officer – Data to join the Records and Data Team within Business Support & Transformation in Colwyn Bay.
The role is 22.5 hours per week with hybrid working following induction and training.
You will handle referrals for Children’s Services, maintain records, produce reports, and support managers while handling confidential information.
The fixed-term contract runs to 31 March 2027, paying £13.05 per hour under PAYE.
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Part-Time Data & Referrals Support Officer (Hybrid) employer: Carrington Blake Recruitment
As a leading employer in Harrow, we pride ourselves on fostering a collaborative and inclusive work culture that prioritises employee development and engagement. Our commitment to professional growth is evident through tailored training programmes and leadership opportunities, ensuring that every team member can thrive while contributing to the Council's strategic objectives. With a focus on diversity and community impact, we offer a unique chance to make a meaningful difference in the lives of residents while enjoying a supportive and dynamic workplace.
Contact Details:
Carrington Blake Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time Data & Referrals Support Officer (Hybrid)
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Carrington Blake Recruitment.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Carrington Blake Recruitment and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Part-Time Data & Referrals Support Officer (Hybrid)
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Carrington Blake Recruitment aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Carrington Blake Recruitment
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Carrington Blake Recruitment.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Carrington Blake Recruitment.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Carrington Blake Recruitment, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Carrington Blake Recruitment will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
