At a Glance
- Tasks: Deliver high-quality data insights and analytics to support Adult Social Care services.
- Company: Local authority in Shropshire with a focus on community impact.
- Benefits: Competitive hourly rate, potential for contract extension, and meaningful work.
- Other info: Immediate start available; great opportunity for career growth in a supportive environment.
- Why this job: Make a real difference in social care through data-driven decision making.
- Qualifications: Degree in Data Analytics or related field; experience in data analysis and reporting.
The predicted salary is between 28.21 - 28.21 £ per hour.
We are working closely with a local authority in Shropshire to assist with the appointment of a Senior Data & Reporting Analyst, on a 3-month contract, highly likely to be extended at the client's discretion. Please apply with your CV for immediate consideration. Rate of Pay: £21.85- £28.21 per hour.
Summary: The Senior Data & Reporting Analyst is a key member of the Insight Team, responsible for delivering high-quality business intelligence, reporting, analytics, forecasting, predictive modelling, and data-driven insights that support Adult Social Care services and transformation programmes. The role will play a critical part in supporting Adult Social Care transformation initiatives, including demand forecasting, front-door transformation programmes, CQC inspection readiness, and continuous service improvement.
Responsibilities:
- Develop and deliver high-quality business intelligence, analytics, and reporting solutions to support Adult Social Care services.
- Ensure reporting outputs are accurate, timely, and aligned with organisational requirements.
- Provide analytical support for Adult Social Care transformation, improvement, and reform programmes.
- Implement monitoring processes and support compliance with the Council's Data Quality Strategy.
- Translate complex technical information into clear and accessible insights for non-technical audiences.
- Contribute to the development of business intelligence standards, procedures, and best practices.
Qualifications:
- Degree-level qualification or equivalent professional experience in Data Analytics, Business Intelligence, Information Management, Statistics, Computer Science, Mathematics, or a related discipline.
Essentials:
- Significant experience in data analysis, business intelligence, reporting, or performance management roles.
- Experience supporting organisational transformation, service improvement, or change programmes.
- Knowledge of data governance, data quality management, and information management practices.
- Understanding of forecasting, predictive analytics, and statistical analysis techniques.
- Awareness of data protection, information governance, and regulatory requirements.
Please note: You should be available to work immediately or at short notice. You should have the right to work in the U.K. This role requires a Basic DBS.
Senior Data & Reporting Analyst in Shrewsbury employer: Brackenberry
As a Senior Data & Reporting Analyst with a local authority in Shropshire, you will be part of a supportive and collaborative work culture that values data-driven insights to enhance Adult Social Care services. The role offers competitive pay rates and the opportunity for professional growth through involvement in transformative initiatives, ensuring your contributions have a meaningful impact on the community. With a commitment to equality and continuous improvement, this position provides a rewarding environment for those looking to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Reporting Analyst in Shrewsbury
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We think you need these skills to ace Senior Data & Reporting Analyst in Shrewsbury
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Brackenberry, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Brackenberry, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Brackenberry’s attention and show the tangible impact of your work.
How to prepare for a job interview at Brackenberry
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Brackenberry.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Brackenberry.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Brackenberry.
