At a Glance
- Tasks: Join a new team ensuring accurate and high-quality customer data services.
- Company: Local council dedicated to delivering essential public services.
- Benefits: Competitive pay at £20.86 per hour and the chance to shape a new team.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
- Why this job: Make a real impact on service delivery and data quality improvements.
- Qualifications: Detail-oriented with experience in data processing and strong communication skills.
- Data
- Support
Officer: £20.86 per hour Hays is proud to partner with a local council to build a brand‑new team dedicated to delivering a high‑quality Customer Master Data Service.
If you're detail‑driven, proactive, and keen to contribute to an essential public service, this is an excellent opportunity to be part of something new from the ground up.
🌟 Why Join?
You'll be joining a newly created team responsible for ensuring the accuracy, integrity, and compliance of customer data used across council and trust services.
Your work will directly support efficient service delivery and data quality improvements.
📌 Key Responsibilities As part of the Customer Master Data team, you will:
Deliver precise and high‑quality customer data services for the council and trust.
Process new and updated customer records, ensuring accuracy and adherence to deadlines.
Verify all customer information to ensure compliance with corporate, financial and legislative requirements.
Maintain awareness of potentially fraudulent activity, escalating concerns where appropriate.
Ensure strict GDPR compliance and always maintain confidentiality.
Assist in producing management information and compliance reports using Oracle. ✨ Who We're Looking For Ideal candidates will have:
Strong attention to detail and accuracy.
Experience in data processing or master data environments.
Confidence working with business systems (Oracle experience desirable).
Excellent communication skills and a customer‑focused mindset.
Ability to work proactively in a fast‑paced transactional environment.
Awareness of data governance, GDPR and financial processes. 📩 Apply Now If you're excited about helping shape a new team and deliver high‑quality customer data services within a respected local authority, please send your updated CV!
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Data Support Officers in Birmingham employer: Hays Accounts and Finance
Join a leading international organisation that prioritises payroll as a strategic function, offering a dynamic work culture where your expertise will drive meaningful process improvements across multiple European countries. With a strong focus on employee growth and development, this role provides unique opportunities to enhance vendor relationships and ensure operational excellence in a supportive environment. Located in a vibrant region, you will benefit from a collaborative atmosphere that values innovation and compliance, making it an excellent place for professionals seeking rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Support Officers in Birmingham
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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 Hays Accounts and Finance.
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We think you need these skills to ace Data Support Officers in Birmingham
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 Hays Accounts and Finance, 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 Hays Accounts and Finance. 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 Hays Accounts and Finance
✨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 Hays Accounts and Finance!
✨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.