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 options, and opportunities for professional development.
- Why this job: Make a real impact by transforming data into actionable insights for growth.
- Qualifications: Experience in data analysis, strong Excel skills, and knowledge of visualisation tools.
- Other info: Collaborative environment with a focus on continuous learning and career advancement.
The predicted salary is between 28800 - 43200 £ 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.
Responsibilities
- 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 and collaboration
- Part of the finance team you will be collaborating with finance colleagues as well as working across the full breadth of the business
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 (eg Tableau/SQL/Python/PowerBI)
- Excellent communication and presentation skills so that data can be presented in a user friendly and engaging manner
Behaviour expectations
- 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
Equal Opportunity Employer
Proud member of the Disability Confident employer scheme.
Data Analyst in Luton employer: Housing Limited
Contact Detail:
Housing Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Luton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect 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
Prepare for interviews by practising common data analyst questions. Think about how you can showcase your skills in data manipulation and visualisation. We want to see you shine, so be ready to discuss your past experiences and how they relate to the role!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Check out our website for roles that excite you and fit your skills. Tailor your approach to show why you’re a perfect match!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’d be a fantastic addition to their team.
We think you need these skills to ace Data Analyst in Luton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with data manipulation, analysis, and any relevant software like Excel or Power BI. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our growth journey. Be sure to mention any experience in the social housing sector or local government if you have it.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data-related challenges in the past. We love candidates who can think critically and come up with innovative solutions, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Housing Limited
✨Know Your Data Tools
Familiarise yourself with the data manipulation and visualisation tools mentioned in the job description, like Excel, SQL, Python, and Power BI. Be ready to discuss how you've used these tools in past roles to analyse data and present insights.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges in previous positions. Highlight your logical approach and any innovative solutions you've implemented to improve data quality or accessibility.
✨Understand the Business Context
Research the company’s focus on data-led decision making and their growth journey. Be prepared to discuss how your analytical skills can support their objectives and contribute to their success.
✨Communicate Effectively
Practice presenting complex data in a clear and engaging manner. Think about how you can make your insights user-friendly for various stakeholders, as effective communication is key in this role.