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- Tasks: Analyse data for Adult Social Care using MS Excel, T-SQL, and Power BI.
- Company: Local government organisation focused on community welfare.
- Benefits: Fixed-term contract with opportunities for professional growth.
- Why this job: Make a real difference in people's lives through data insights.
- Qualifications: Degree in an analytical field and experience in data analytics.
- Other info: Join a dynamic team tackling significant community issues.
The predicted salary is between 36000 - 60000 £ per year.
A local government organization in England is seeking a fixed-term Data Analyst for two years to join its Business Intelligence & Performance Team. The role involves analyzing data for the Adult Social Care service using tools like MS Excel, T-SQL, and Microsoft Power BI. Prior experience in local government and data analytics is essential. This position provides the chance to work on significant issues in a dynamic team environment. Applicants should possess a degree in a relevant analytical field.
Data Analyst - Adult Social Care BI & Insights in England employer: Sefton Council
Contact Detail:
Sefton Council Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Adult Social Care BI & Insights in England
✨Tip Number 1
Network like a pro! Reach out to people in the local government sector or those already working in data analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using MS Excel, T-SQL, and Power BI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios specific to adult social care. We want you to feel confident and ready to tackle any question that comes your way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Data Analyst - Adult Social Care BI & Insights in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analytics, especially in local government. We want to see how your skills with MS Excel, T-SQL, and Power BI can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the Data Analyst role. Share specific examples of your past work and how it relates to Adult Social Care.
Showcase Relevant Experience: If you've worked on similar projects or have experience in Adult Social Care, make it known! We love seeing how your background aligns with our needs.
Apply Through Our Website: To ensure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Sefton Council
✨Know Your Tools Inside Out
Make sure you're well-versed in MS Excel, T-SQL, and Microsoft Power BI. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your proficiency will show that you're the right fit for the role.
✨Understand Local Government Context
Familiarise yourself with the challenges and priorities of local government, especially in Adult Social Care. Research recent initiatives or reports related to this sector. This knowledge will help you answer questions more effectively and show your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific data analysis scenarios. Think about past experiences where you've solved problems using data. Prepare a few examples that highlight your analytical thinking and problem-solving skills relevant to the role.
✨Show Your Team Spirit
Since you'll be working in a dynamic team environment, be ready to discuss how you collaborate with others. Share examples of successful teamwork from your previous roles, focusing on how you contributed to achieving common goals in data analytics.
