At a Glance
- Tasks: Analyse data to improve services and support decision-making in Adult Social Care.
- Company: Join Stoke-on-Trent City Council's dynamic Performance Team.
- Benefits: Competitive salary, hybrid working, excellent benefits, and professional development opportunities.
- Other info: Diverse and inclusive workplace committed to your success.
- Why this job: Make a real impact by using data to enhance community services.
- Qualifications: Strong Power BI skills, SQL knowledge, and experience with complex datasets.
The predicted salary is between 36363 - 39152 £ per year.
We are looking for a technically capable Data Analyst to join the Council’s Performance Team. As part of the Team, you will provide analysis, intelligence, and insight to help services understand performance, improve outcomes and support decision making. The role focuses on Adult Social Care and commissioning, including the Better Care Fund (BCF) and joint commissioning insight. You will work with colleagues across ASC, commissioning and corporate teams to deliver timely, trusted analysis and statutory reporting.
Key Responsibilities
- Develop and maintain Power BI reports to support BCF and commissioning.
- Use SQL to extract, transform and analyse data from multiple systems.
- Support statutory reporting cycles, including BCF returns.
- Provide timely analysis in response to ad hoc requests.
- Work with stakeholders to improve reporting and data use.
About You
- Strong Power BI and data visualisation capability.
- Good working knowledge of SQL.
- Experience working with complex datasets and generating insight.
- Interpret and challenge data effectively.
- Communicate clearly with non‑technical audiences.
- Motivated to improve how data is used.
- Desirable experience with Python or similar tools.
- Desirable familiarity with ASC or public sector reporting.
What we offer
- A competitive salary based on your skills, experience and talent.
- Hybrid and flexible working options.
- An excellent local authority benefits and pension scheme.
- Professional development through learning opportunities, training sessions and apprenticeship and management schemes.
Equality, Diversity and Inclusion
At Stoke-on-Trent City Council, we believe our strength comes from the diversity of our community, and we want our workforce to reflect that. We welcome applications from individuals of all backgrounds and experiences and are committed to creating a workplace where everyone feels included, can be themselves, and can succeed together.
Data Analyst employer: WMJobs
Stoke-on-Trent City Council is an exceptional employer, offering a supportive work culture that prioritises professional development and inclusivity. As a Data Analyst within the Performance Team, you will benefit from flexible working options, a competitive salary, and access to a comprehensive benefits package, all while contributing to meaningful improvements in Adult Social Care and commissioning. Join us in making a difference in our community while advancing your career in a diverse and collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
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We think you need these skills to ace Data Analyst
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!
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Craft a Tailored Cover Letter:For a full-time role at WMJobs, 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.
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How to prepare for a job interview at WMJobs
✨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 WMJobs!
✨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.
