At a Glance
- Tasks: Analyse complex datasets to support strategic planning and decision-making in housing services.
- Company: Join a leading organisation transforming housing data management in Greater London.
- Benefits: Competitive daily rate, hybrid working, and access to career development opportunities.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact on housing services while enhancing your data analysis skills.
- Qualifications: Extensive experience in data and business analysis, with local authority experience essential.
The predicted salary is between 30000 - 40000 € per year.
My client in Greater London are looking to appoint a talented Data Business Analyst on a Contract basis. We are looking for an experienced and analytical Data Business Analyst to join a Housing Directorate, supporting services responsible for over 21,000 homes. This role combines data analysis, business analysis and systems thinking to help transform the way data supports strategic decision-making, service delivery and long-term investment planning across Housing Services.
What's on offer:
- Salary: £300 per day, Inside IR35 *negotiable based on experience* please submit your CV with the rate you require
- Hybrid working
- Contract type: Contract
- Monday - Friday
About the role:
- Based in Greater London (Hybrid):
- Analyse large and complex housing, asset and operational datasets to support strategic planning and decision-making
- Support asset lifecycle management and investment programmes using data-led insights
- Work collaboratively with Housing, IT, Data and wider business stakeholders to improve systems, reporting and data usage
- Produce business analysis documentation including process maps, requirements gathering documentation, functional specifications, gap analysis and project documentation
About you:
- You will have the following experiences:
- Extensive experience in a similar role
- Strong experience in both Data Analysis and Business Analysis
- Experience delivering data-led change, transformation or service improvement initiatives
- Local Authority experience is essential
How to apply:
Once your CV is received, if you are successful you will be contacted. Due to the extremely high number of applications, it may not be possible to contact every applicant. As such, if you are not contacted please assume you have not been successful on this occasion.
Data Business Analyst in London employer: Spencer Clarke Group
Spencer Clarke Group is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. With a focus on meaningful projects within the Housing Directorate in Greater London, employees benefit from hybrid working arrangements, competitive pay, and access to a wealth of career opportunities, all while contributing to impactful service improvements for over 21,000 homes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the housing and data sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and business analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your experience effectively!
✨Tip Number 3
Showcase your skills with a portfolio! If you’ve worked on relevant projects, compile them into a portfolio that highlights your data-led insights and transformation initiatives. This can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other applicants. Let’s get you that dream job!
We think you need these skills to ace Data Business Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Business Analyst role. Highlight your experience in data analysis and business analysis, especially any work with local authorities. We want to see how your skills match what we're looking for!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've delivered data-led change or improved services. This helps us see the impact you've made in previous roles.
Be Clear and Concise:When writing your application, keep it clear and concise. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication that gets to the point without fluff!
Apply Through Our Website:We encourage you to apply through our website for the best chance of success. It streamlines the process and ensures your application gets to the right people quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at Spencer Clarke Group
✨Know Your Data Inside Out
As a Data Business Analyst, you’ll need to demonstrate your analytical skills. Make sure you’re familiar with the datasets relevant to the role, especially those related to housing and asset management. Prepare to discuss how you've used data to drive decision-making in past roles.
✨Showcase Your Business Analysis Skills
Be ready to talk about your experience in business analysis. Bring examples of process maps, requirements gathering, and any documentation you've produced. This will show that you can bridge the gap between data and business needs effectively.
✨Understand the Local Authority Landscape
Since local authority experience is essential, brush up on current challenges and initiatives within housing services. Being able to discuss these topics will demonstrate your understanding of the environment you'll be working in and how your skills can contribute.
✨Prepare for Collaborative Scenarios
This role involves working with various stakeholders. Think of examples where you’ve successfully collaborated with IT, data teams, or other departments. Highlight your communication skills and how you’ve facilitated discussions to improve systems and reporting.
