Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Extract and analyse data to uncover insights and trends in social housing.
- Company: Join a dynamic team focused on improving housing processes and strategies.
- 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 impact by transforming data into actionable insights for stakeholders.
- Qualifications: Experience in data analysis and ability to communicate with non-technical users.
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 in London employer: 4Recruitment Services
Contact Detail:
4Recruitment Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insight Analyst in London
✨Tip Number 1
Get to know the company and its culture before your interview. Research their projects, values, and recent news. This will help you tailor your responses and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Practice explaining complex data concepts in simple terms. Since you'll be talking to non-data users, being able to break down your insights into digestible bits is key. Try role-playing with a friend to get comfortable!
✨Tip Number 3
Prepare some questions for your interviewers about their data processes and challenges. This shows that you're proactive and ready to engage with the team. Plus, it gives you a chance to assess if the role is right for you.
✨Tip Number 4
Don't forget to apply through our website! We want to see your application and help you land that Data Insight Analyst role. Plus, it makes it easier for us to keep track of your progress and connect with you directly.
We think you need these skills to ace Data Insight Analyst 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. We appreciate a willingness to learn and adapt, so don't hesitate to express your eagerness to improve your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at 4Recruitment Services
✨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 the NEC housing management system.
✨Engage with Non-Data Users
Since the role requires you to communicate with non-data users, practice explaining complex data concepts in simple terms. Think about how you can make your insights relatable and actionable for stakeholders who may not have a technical background.
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data extraction, cleaning, and transformation. Have examples ready that demonstrate how you've uncovered patterns or identified opportunities for improvement in past roles.
✨Collaboration is Key
Highlight your ability to work with cross-functional teams. Share examples of how you've collaborated with different departments, like finance or IT, to align data analysis efforts with organisational goals. This will show you're a team player and understand the bigger picture.