Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Analyst

Coalville
1 week ago
Create job alert

£43,001 - £47,779 per annum, flexible hybrid working pattern (2 days per week in office), 35-hour week, 39 days annual leave (including statutory days), good pension scheme and other generous benefits

This post is subject to DBS clearance.

Hays Technology are working in partnership with a large public sector organisation in Coalville to recruit a Senior Data Analyst to join their Technology team on a permanent basis. The successful candidate will focus on transforming data into actionable insights that drive decision-making. You will analyse data on housing operations, tenant engagement, and asset performance to support strategic initiatives and improve services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable.

Principal duties and responsibilities:

Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in depth insights with a focus on identifying trends.
Have a good understanding of the core data returns being proactive in discussing any potential issues with Data Owners, leading to cross referencing of this data to all dashboards.
Develop raw data to gain insights from available and new data streams, in order to obtain greater knowledge of our assets, maximising income, manage our resources and operate effective and efficient processes.
Handle potentially incomplete data sets, clean up data to produce predictive modelling.
Working with the ICT Quality Team ensure robust testing pre-release of all reports and related dashboards; support and comply with change control working practices within ICT & Digital Services.
Integrate and mashup distinctive data sets, pulling data from multiple, disparate sources to provide the management team with an at-a-glance view of the business.
Create and maintain SQL functions, procedures and reports along with supporting the SQL data views and core record systems and processes.
In order to apply, you must have the following skills and experience:

Previous experience as a Data or Insight Analyst preferably within social housing, local government, or public sector organisations.
Experience with housing-related data: Familiarity with housing management systems (e.g., MRI, Northgate, Civica) and experience analysing housing-specific data, such as tenant demographics, rent arrears, and service usage - desirable.
Familiarity with customer insight tools and techniques, such as surveys, focus groups, and data mining.
Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery.
Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights.
Experience with SQL for querying databases.
Solid understanding of key issues in social housing, such as tenant satisfaction, void management, rent collection, and regulatory frameworks (e.g., Homes England, Regulator of Social Housing).
If you have the relevant experience and would like to apply, please submit your CV.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst – Fraud Analytics

Senior Data Analyst - SQL & Python

Senior Data Analyst

Senior Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.