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- Tasks: Extract and analyse data to uncover insights and trends in social housing.
- Company: Join a forward-thinking organisation focused on improving housing processes.
- Benefits: Competitive pay, flexible working environment, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with a focus on continuous improvement and innovation.
- Why this job: Make a real difference by transforming data into actionable insights for housing strategies.
- Qualifications: Experience in data analysis and ability to communicate with diverse audiences.
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 Responsibilities:
- 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.
To find out more information please contact Recruitment is done in line with safe recruitment practices. We are an equal opportunity agency.
Data Insight Analyst in Wishaw employer: 4Recruitment Services
Contact Detail:
4Recruitment Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insight Analyst in Wishaw
✨Tip Number 1
Get to know the company and its culture before your interview. Research their projects, especially around social housing and data analysis. This will help you connect your skills with what they value, making you a more appealing candidate.
✨Tip Number 2
Practice explaining complex data insights in simple terms. Since you'll be talking to non-data users, being able to break down your analyses into digestible bits is key. Try role-playing with a friend to get comfortable!
✨Tip Number 3
Showcase your collaborative spirit! Be ready to discuss how you've worked with cross-functional teams in the past. Highlighting your ability to align data efforts with broader organisational goals can set you apart.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Insight Analyst in Wishaw
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Insight Analyst role. Highlight your experience with data analysis, especially in social housing or property letting, and don’t forget to mention any relevant tools like Power BI or Azure Data Bricks.
Craft a Compelling Cover Letter: Use your cover letter to showcase your personality and explain why you’re the perfect fit for us. Talk about your ability to communicate complex data insights to non-data users and how you can engage with clients effectively.
Showcase Your Analytical Skills: In your application, give examples of how you've extracted, cleaned, and transformed datasets in the past. Mention any specific projects where you identified trends or provided actionable insights that made a difference.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at 4Recruitment Services
✨Know Your Data
Make sure you understand the basics of data extraction, cleaning, and transformation. Brush up on how to interpret complex datasets and be ready to discuss how you've done this in the past. Being able to explain your process clearly will impress those non-data users!
✨Engage with Stakeholders
Since the role is client-facing, practice explaining your insights in a way that's easy for everyone to understand. Think about how you can make your analyses relatable and relevant to the stakeholders you'll be working with.
✨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. Consider doing a quick tutorial or two to get comfortable with their functionalities, especially how they can be used for reporting and visualisation.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so be prepared to discuss your experience in collaboration. Share examples of how you've worked with cross-functional teams in the past and how you ensured that everyone's objectives were aligned.