At a Glance
- Tasks: Lead data initiatives to improve services for residents through collaboration and analytics.
- Company: Knowsley Metropolitan Borough Council, dedicated to enhancing community outcomes.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a supportive team focused on innovation and community impact.
- Why this job: Make a real difference in your community by driving data-led decisions.
- Qualifications: Experience in data management and strong analytical skills required.
The predicted salary is between 31500 - 38500 £ per year.
Knowsley Metropolitan Borough Council is seeking a skilled Data Lead to develop and guide a multi-agency data and intelligence function, driving better outcomes for residents. You will bridge local authority services, health, housing and criminal justice to enable data sharing and evidence-led decision making.
The role focuses on governance, analytics, and performance measurement, delivering dashboards and reports that inform strategic decisions and service improvements across the Changing.
Lead Multi-Agency Data & Insight in Knowsley employer: Knowsley Metropolitan Borough Council
Knowsley Metropolitan Borough Council is an exceptional employer dedicated to making a meaningful impact in the community. With a strong focus on employee development and a supportive work culture, we offer hybrid working arrangements that promote work-life balance. Join our team to not only advance your career in social work but also to contribute to the well-being of children and families in Huyton.
Contact Details:
Knowsley Metropolitan Borough Council Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Multi-Agency Data & Insight in Knowsley
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We think you need these skills to ace Lead Multi-Agency Data & Insight in Knowsley
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 Knowsley Metropolitan Borough Council, 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 Knowsley Metropolitan Borough Council. 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 Knowsley Metropolitan Borough Council
✨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!
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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
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✨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.
