Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to drive improvements and support decision-making across the organisation.
- Company: Join a forward-thinking organisation committed to data-led growth and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Why this job: Make a real impact by transforming raw data into engaging insights that drive success.
- Qualifications: Experience in data analysis, strong attention to detail, and proficiency in Excel.
- Other info: Collaborative environment with opportunities to work across various departments.
The predicted salary is between 28800 - 48000 £ per year.
This role is a key element of our organisational focus and commitment to using data as a valuable tool to support our understanding of performance, to drive improvements; and also communicate our impact, to support our ambitious growth journey.
Working across our full suite of internal systems, the role will incorporate all aspects of the data analysis function, including:
- Data cleansing and defect management
- Root cause analysis and process review
- Data collation and manipulation
Using this raw data, the role will identify and develop opportunities to use and present data in an innovative, visibly engaging and effective way to maximise wider organisational outcomes. Alongside this, the role will lead on the creation of specific management information outputs (in prescribed formats) for key external stakeholders, ensuring the accuracy and timeliness of the data is fully aligned to the relevant service level agreements and expectations.
As part of our overall commitment to organisational development, growth and data-led decision making, we are investing heavily into new ICT systems. This role will play a significant part in supporting and mobilising this process, working across the organisation to support departmental leads and data-owners, to ensure the most positive transition process.
Main Duties
- Provide regular reporting packs to the various public bodies that we work with
- Prepare and automate monthly management pack with detailed business, operational and financial analysis and insights
- Provide statistical information and insights that can be used for business development and profile raising purposes
- Support decision making within the business by analysing data for a better understanding of the business drivers and appraisal of results of ongoing initiatives
- Work with the management team
- Support across the business to generate and analyse customer satisfaction surveys
- Work with all departments and other internal teams to identify how we can improve the quality and accessibility of our data and provide data insights to team operations
- Support ad hoc projects such as reporting on property pipeline and deployment for new other business expansions
- Support migration of data from legacy systems into Omniledger or others
- Establish and document processes to obtain information from various data sources
- Work with external IT support to ensure Omniledger data accuracy and consistency
- Train members of the finance and other teams on Power BI
Relationships
Part of the finance team, you will be collaborating with finance colleagues as well as working across the full breadth of the business.
Competencies
Skills & Experience
- Data manipulation
- Data analysis and strong attention to detail
- Visualisation and presentation of data with reconciliation back to source systems to assure consistency
- Problem solving and innovation
- Strong business decision support through knowledge of key financial and growth drivers of the business
Desirable Skills
- Experience working in or with the social housing sector, local government or a letting agency
- Exposure to SQL or Python for basic data querying or analysis
- Understanding of data protection principles
Knowledge
- Advanced user of Excel and other data sources
- A good understanding of data manipulation and visualisation software (e.g. Tableau/SQL/Python/PowerBI)
- Excellent communication and presentation skills so that data can be presented in a user-friendly and engaging manner
Behaviour
- Deeply organised and logical approach
- Pragmatic, recognising that data sets may be imperfect
- Proactive and prepared to initiate and recommend changes
- Self-starting and able to work with minimal supervision
- Works well to deadlines
- Work with other functions to identify and provide data needed for effective business changes or continued strong business performance
- Have confidence to challenge assumptions
- Appetite for continuous learning, including how the business works and external technical best practice
We would expect you at all times to:
- Act with integrity
- Act with due skill, care and diligence
- Act with professionalism
- Be open and co-operative with colleagues
Data Analyst in Caddington employer: The Housing Network
Contact Detail:
The Housing Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Caddington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, visualisations, and any cool insights you've generated. This will give you an edge and make you stand out during interviews.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you can demonstrate your problem-solving skills and attention to detail with real-life examples from your experience.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. Plus, it shows you're proactive and keen to be part of our team!
We think you need these skills to ace Data Analyst in Caddington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your data manipulation and analysis skills, and don’t forget to mention any experience with tools like Excel, SQL, or Power BI. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your previous experiences align with our mission at StudySmarter. Be genuine and let your personality come through!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data-related challenges in the past. We love innovative thinkers who can turn raw data into actionable insights, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at The Housing Network
✨Know Your Data Tools
Make sure you’re familiar with the data manipulation and visualisation tools mentioned in the job description, like Excel, SQL, Python, and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges in previous roles. Think about specific instances where you identified issues, conducted root cause analysis, and implemented solutions. This will demonstrate your analytical mindset and proactive approach.
✨Communicate Clearly
Since the role involves presenting data insights, practice explaining complex data concepts in simple terms. Be ready to discuss how you would present data to different stakeholders, ensuring it’s engaging and user-friendly.
✨Understand the Organisation's Goals
Research the company’s mission and recent projects. Be prepared to discuss how your data analysis can support their growth journey and improve decision-making. Showing that you understand their objectives will set you apart from other candidates.
