At a Glance
- Tasks: Extract and analyse data to generate insights for housing strategies and policies.
- 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 SQL and a passion for data analysis; client-facing skills are a plus.
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 - SQL in Wishaw employer: 4Recruitment Services
As a Data & Insight Analyst at our company, you will thrive in a dynamic and inclusive work environment located near the vibrant Waterloo area. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture where your insights directly impact housing strategies. With competitive pay and a commitment to diversity, we ensure that every team member feels valued and empowered to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insight Analyst - SQL in Wishaw
✨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 their 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 that show your interest in their data processes and how they use insights to drive decisions. This not only demonstrates your enthusiasm but also helps you gauge if the role is right for you.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and keen on joining us at StudySmarter.
We think you need these skills to ace Data & Insight Analyst - SQL in Wishaw
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 management, and don’t forget to mention any relevant tools like SQL or Power BI.
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. Mention any specific projects where you identified trends or provided actionable insights.
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 get you on our radar quickly!
How to prepare for a job interview at 4Recruitment Services
✨Know Your Data
Make sure you brush up on your knowledge of data extraction, cleaning, and transformation. Be ready to discuss how you've handled complex datasets in the past and how you can apply that experience to the role.
✨Understand the Client's Needs
Since this role is client-facing, practice explaining technical concepts in simple terms. Think about how you would communicate insights to non-data users and prepare examples of how you've done this before.
✨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.
✨Show Your Collaborative Spirit
This position involves working closely with various teams. Prepare to share examples of how you've successfully collaborated with others in the past, especially in cross-functional settings. Highlight your ability to align data analysis with organisational goals.
