At a Glance
- Tasks: Extract and analyse data to uncover insights and improve housing processes.
- Company: Join a dynamic team focused on social housing in Lambeth.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real difference in social housing while developing your data skills.
- Qualifications: Experience with data analysis and strong communication skills required.
The predicted salary is between 67000 - 67000 £ per year.
Essentially to Note: Knows about social housing and empty homes or at least understand letting properties as a data analyst. Have the ability to talk to non-data users. Got to be client facing and engaging to explain what they are doing and how to use information. Need to understand how to use NEC housing management system. Don't have to be an advanced user of Power BI and Azure Data Bricks. Based at Westminster Bridge Road - near Waterloo for the office.
Job Description:
- Extract, clean, and transform complex datasets from various sources to perform insightful analyses, uncover patterns, and identify opportunities for improvement.
- Interpret data to create meaningful insights, visualisations, and reports that support key stakeholders in making informed decisions.
- Monitor trends, demographic shifts, and regulatory changes to provide proactive recommendations for adapting housing processes, strategies and policies.
- Develop and maintain key performance indicators (KPIs).
- Work closely with cross-functional teams including housing operations, finance, IT, and Business Analysts to align data analysis efforts with organisational objectives.
- Ensure data accuracy, consistency, and integrity by implementing quality control measures and adhering to data governance practices.
- Produce regular and ad-hoc reports, dashboards, and presentations to communicate insights, trends, and recommendations to both technical and non-technical audiences.
- Identify opportunities for process improvement, automation, and innovation in data analysis and reporting methodologies.
- Manage and improve a suite of products that exist in PowerBI, Tableau, and other tools, which provide ongoing monitoring of key performance indicators for various teams and stakeholders throughout the company.
Data Insight Analyst - Social Housing. Job in Lambeth LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
As a Data Insight Analyst at our Lambeth office, you will thrive in a dynamic work culture that values collaboration and innovation. We offer competitive pay, opportunities for professional growth, and a supportive environment where your insights directly impact social housing strategies. Located near Waterloo, our office provides easy access to vibrant city life while you contribute to meaningful projects that enhance community living.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Insight Analyst - Social Housing. Job in Lambeth LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the social housing sector, attend relevant events, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Data Insight Analyst role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those related to social housing. This will help you demonstrate your ability to extract insights and communicate them effectively to non-data users.
✨Tip Number 3
Practice your pitch! Be ready to explain complex data concepts in simple terms during interviews. Remember, you’ll be client-facing, so being engaging and clear is key to impressing your future employers.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you an edge. Plus, it shows you’re serious about joining our team and making a difference in the social housing space.
We think you need these skills to ace Data Insight Analyst - Social Housing. Job in Lambeth LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with social housing and data analysis, and don’t forget to mention any relevant tools like Power BI or NEC housing management systems.
Craft a Compelling Cover Letter:Use your cover letter to showcase your personality and explain why you’re the perfect fit for the Data Insight Analyst role. Talk about your ability to communicate complex data insights to non-data users – that’s key!
Showcase Your Analytical Skills:In your application, give examples of how you've extracted, cleaned, and transformed datasets in the past. We want to see your analytical prowess and how it can benefit our team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into the process smoothly.
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Data
Make sure you brush up on your knowledge of social housing and empty homes. Understanding the basics of letting properties will help you connect with the interviewers and demonstrate your relevance to the role.
✨Engage with Non-Data Users
Since the job requires you to explain data insights to non-data users, practice how you would communicate complex information in simple terms. Think of examples where you've done this before or prepare a few scenarios to discuss.
✨Familiarise Yourself with Tools
While you don’t need to be an expert in Power BI or Azure Data Bricks, having a basic understanding of these tools will show your willingness to learn. Consider exploring some online tutorials or resources to get a feel for their functionalities.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration since you'll be working with various departments. Think of specific instances where you've successfully collaborated with others, and be ready to share how you can align data analysis efforts with organisational objectives.
