At a Glance
- Tasks: Extract and analyse data to generate insights that drive housing strategies.
- Company: Join a forward-thinking agency focused on social housing improvements.
- Benefits: Competitive pay, flexible working options, 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 housing by turning data into actionable insights.
- Qualifications: Experience in data analysis and strong communication skills are essential.
The predicted salary is between 30000 - 40000 € per year.
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.
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.
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 Waterloo 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. Enjoy competitive pay, flexible working arrangements, and the chance to engage with diverse teams while making a meaningful difference in social housing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Insight Analyst in Waterloo
✨Tip Number 1
Get to know the company and its culture before your interview. Research their values and recent projects, especially in social housing. This will help you connect your skills to their needs and show that you're genuinely interested.
✨Tip Number 2
Practice explaining complex data insights in simple terms. Since you'll be client-facing, being able to communicate effectively with non-data users is crucial. Try role-playing with a friend to get comfortable with this.
✨Tip Number 3
Prepare some questions for your interviewers about their current data challenges or projects. This shows that you're proactive and ready to contribute to their goals right from the start.
✨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, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Insight Analyst in Waterloo
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that match the Data Insight Analyst role. We want to see how your background in data analysis, especially in social housing or property management, aligns with what we're looking for.
Showcase Your Soft Skills:Since this role is client-facing, it's crucial to demonstrate your ability to communicate complex data insights clearly. We love seeing examples of how you've engaged with non-data users in the past, so don’t hold back!
Highlight Technical Proficiency:While you don't need to be an expert in Power BI or Azure Data Bricks, mentioning any familiarity with these tools can give you an edge. We appreciate candidates who are eager to learn and adapt, so let us know about your willingness to upskill!
Apply Through Our Website:We encourage you to submit your application through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves!
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 be prepared to share specific examples that highlight your analytical skills.
✨Engage with Non-Data Users
Since this role requires you to communicate insights to non-data users, practice explaining complex data concepts in simple terms. Think about how you can make your explanations relatable and engaging for someone who might not have a technical background.
✨Familiarise Yourself with Housing Systems
Even if you're not an advanced user, having a basic understanding of the NEC housing management system will give you an edge. Research how it works and consider how data analysis can improve housing processes and strategies.
✨Showcase Your Collaborative Spirit
This role involves working closely with various teams, so be prepared to discuss your experience in cross-functional collaboration. Share examples of how you've worked with different departments to achieve common goals and how you can contribute to a team environment.
