At a Glance
- Tasks: Extract and analyse data to uncover insights and improve housing processes.
- Company: Join a dynamic team focused on social housing and community impact.
- Benefits: Competitive pay, flexible working environment, and opportunities for professional growth.
- Other info: Collaborative atmosphere with a focus on continuous improvement and innovation.
- Why this job: Make a real difference in housing by turning data into actionable insights.
- Qualifications: Experience with data analysis and strong communication skills are essential.
The predicted salary is between 30000 - 40000 £ 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:
- Data Extraction: Extract, clean, and transform complex datasets from various sources to perform insightful analyses, uncover patterns, and identify opportunities for improvement.
- Insight Generation: Interpret data to create meaningful insights, visualisations, and reports that support key stakeholders in making informed decisions.
- Trend Identification: Monitor trends, demographic shifts, and regulatory changes to provide proactive recommendations for adapting housing processes, strategies and policies.
- Performance Evaluation: Develop and maintain key performance indicators (KPIs).
- Collaboration: Work closely with cross-functional teams including housing operations, finance, IT, and Business Analysts to align data analysis efforts with organisational objectives.
- Data Integrity: Ensure data accuracy, consistency, and integrity by implementing quality control measures and adhering to data governance practices.
- Reporting: Produce regular and ad-hoc reports, dashboards, and presentations to communicate insights, trends, and recommendations to both technical and non-technical audiences.
- Continuous Improvement: 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. Job in Lambeth LilyLifestyle Jobs in London 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 housing strategies. Located near Waterloo, our office provides easy access to vibrant city life while you engage with cross-functional teams to drive meaningful change in social housing.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Insight Analyst. Job in Lambeth LilyLifestyle Jobs in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in social housing or data analysis. A friendly chat can lead to valuable insights and even job leads.
✨Tip Number 2
Brush up on your communication skills. Since you'll be talking to non-data users, practice explaining complex data concepts in simple terms. This will make you more relatable and engaging during interviews.
✨Tip Number 3
Get familiar with the NEC housing management system. Even if you're not an expert, showing that you understand its basics can set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Insight Analyst. Job in Lambeth LilyLifestyle Jobs in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with data analysis, especially in social housing or property letting. We want to see how your skills align with what we're looking for!
Showcase Your Communication Skills:Since this role is client-facing, it's crucial to demonstrate your ability to explain complex data insights to non-data users. Use examples in your application that show how you've successfully communicated data findings in the past.
Highlight Relevant Tools Experience:Even if you're not an advanced user of Power BI or Azure Data Bricks, mention any experience you have with these tools or similar ones. We appreciate a willingness to learn and adapt, so don't be shy about your journey with data tools!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
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 context of the data you'll be working with is crucial, so do some research on letting properties and how they relate to the role.
✨Engage with Non-Data Users
Since this role requires you to communicate with non-data users, practice explaining complex data concepts in simple terms. Think about how you would describe your analyses to someone without a technical background.
✨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 help. Try to explore their functionalities and think about how you might use them in your analyses.
✨Prepare for Collaboration
This role involves working closely with various teams. Be ready to discuss how you’ve collaborated in the past and how you can align your data analysis efforts with organisational objectives. Think of examples that showcase your teamwork skills.
