At a Glance
- Tasks: Transform data into insights to improve housing services and project delivery.
- Company: Local government authority focused on community wellbeing and inclusion.
- Benefits: Flexible working patterns, supportive environment, and emphasis on wellbeing.
- Other info: Collaborative teams and opportunities for personal growth.
- Why this job: Make a real difference in housing services while developing your analytical skills.
- Qualifications: Proficiency in SQL, Hive, Python, and strong organisational skills.
The predicted salary is between 30000 - 40000 £ per year.
A local government authority is seeking an Asset Business Analyst to translate data into actionable insights. In this role, you will ensure accurate data underpins decisions and improvements in housing services. You will collaborate with various teams and use analytical techniques to support risk-based planning and enhance project delivery.
Proficiency in SQL, Hive, and Python is essential, as well as excellent organisational skills. This role offers flexible working patterns and promotes inclusion and wellbeing.
Data-Driven Asset BA (Housing, Flexible) in London employer: Hampshire County Council
Contact Detail:
Hampshire County Council Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Driven Asset BA (Housing, Flexible) in London
✨Tip Number 1
Network like a pro! Reach out to people in the housing and data analysis sectors. Attend local meetups or online webinars to connect with potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL, Hive, and Python projects. This will give you an edge during interviews and demonstrate your ability to translate data into actionable insights.
✨Tip Number 3
Prepare for those interviews! Research common questions for Asset Business Analysts and practice your responses. Be ready to discuss how you've used analytical techniques in past roles to support decision-making.
✨Tip Number 4
Don’t forget to apply through our website! We regularly update our job listings, and applying directly can sometimes give you a better chance of landing that interview. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data-Driven Asset BA (Housing, Flexible) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Hive, and Python. We want to see how your skills translate into actionable insights, so don’t hold back on showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven decision-making in housing services. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Your Organisational Skills: In this role, excellent organisational skills are key. When writing your application, give examples of how you've successfully managed multiple tasks or projects. We want to know how you keep everything on track!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Hampshire County Council
✨Know Your Data Tools
Make sure you brush up on your SQL, Hive, and Python skills before the interview. Be ready to discuss how you've used these tools in past projects to derive insights and support decision-making.
✨Showcase Your Analytical Mindset
Prepare examples of how you've translated complex data into actionable insights. Think about specific instances where your analysis led to improvements in housing services or project delivery.
✨Collaboration is Key
Since this role involves working with various teams, be prepared to talk about your experience collaborating with different stakeholders. Highlight how you’ve effectively communicated data findings to non-technical team members.
✨Emphasise Organisational Skills
This position requires excellent organisational skills, so come equipped with examples of how you've managed multiple tasks or projects simultaneously. Discuss any tools or methods you use to stay organised and ensure deadlines are met.