Summary
Our Data team are responsible for sourcing, analysing, and presenting data insights that influence business decisions. We are looking for an apprentice to join the team and through collaborating with stakeholders, you’ll help transform data into meaningful solutions to drive efficiency, customer satisfaction, and operational excellence.
Wage
Competitive
Training course
Data analyst (level 4)
Hours
Monday - Friday, shifts to be confirmed.
39 hours a week
Possible start date
Monday 1 September
Duration
2 years
Positions available
1
Work
As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.
What you’ll do at work
This is an exciting time to join United Living on our Apprenticeship Programme as the business continues to grow and we have a significant order book of secured future projects.
Our Property Services business revitalises homes and communities through the regeneration of living spaces, breathing new life into neighbourhoods. Our Data team are responsible for sourcing, analysing, and presenting data insights that influence business decisions. We are looking for an apprentice to join the team and through collaborating with stakeholders, you’ll help transform data into meaningful solutions to drive efficiency, customer satisfaction, and operational excellence—all while adhering to organisational and regulatory standards. Some of your key responsibilities will be:
Data Identification and Collection
* Identifying and assessing data sources relevant to business requirements, ensuring alignment with organisational objectives.
* Collect, compile, and cleanse datasets from internal systems and external sources, addressing quality issues as needed.
Stakeholder Collaboration
* Engaging with clients and colleagues across departments to establish data reporting needs and deliver clear, actionable insights.
* Fostering relationships that enhance collaboration and shared decision-making.
Data Analysis and Visualization
* Analysing data trends and patterns to provide evidence-based recommendations that improve property services and operations.
* Creating dashboards and models for performance monitoring, ensuring clarity and accessibility for diverse stakeholders.
Performance Reporting
* Developing standard and customised reports to track business and operational metrics.
* Presenting findings through visualisations and narratives, ensuring recommendations are aligned with United Living’s goals.
Compliance and Ethical Practices
* Ensuring all data is managed in line with GDPR and organizational policies, incorporating best practices for data ethics and security.
* Promoting accurate, ethical representation of data in internal and external communications.
Where you’ll work
8 Lupton Road
Thame
OX9 3SE
Training
An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.
College or training organisation
TECHNICAL PROFESSIONALS LIMITED
Your training course
Data analyst (level 4)
Equal to higher national certificate (HNC)
Course contents
* Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
* implement the stages of the data analysis lifecycle
* apply principles of data classification within data analysis activity
* analyse data sets taking account of different data structures and database designs
* assess the impact on user experience and domain context on data analysis activity
* identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
* undertake customer requirements analysis and implement findings in data analytics planning and outputs
* identify data sources and the risks and challenges to combination within data analysis activity
* apply organizational architecture requirements to data analysis activities
* apply statistical methodologies to data analysis tasks
* apply predictive analytics in the collation and use of data
* collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
* use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
* collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
* select and apply the most appropriate data tools to achieve the optimum outcome
* Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
* implement the stages of the data analysis lifecycle
* apply principles of data classification within data analysis activity
* analyse data sets taking account of different data structures and database designs
* assess the impact on user experience and domain context on data analysis activity
* identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
* undertake customer requirements analysis and implement findings in data analytics planning and outputs
* identify data sources and the risks and challenges to combination within data analysis activity
* apply organizational architecture requirements to data analysis activities
* apply statistical methodologies to data analysis tasks
* apply predictive analytics in the collation and use of data
* collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
* use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
* collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
* select and apply the most appropriate data tools to achieve the optimum outcome
Your training plan
As an Apprentice with United Living, you’ll be given a real job from day one where you will gain hands-on industry experience, and the knowledge required to achieve a nationally recognised qualification. You’ll be inspired and stretched professionally, but fully supported by an expert network of colleagues, as you work to build the foundations for a career within United Living, and the construction industry.
As part of your apprenticeship programme you will be enrolled on the Level 4 Data Analyst Apprenticeship, which will be delivered by our training partner LearnTech. The programme is 18-24 months long and you will study online, spending one day per week working towards achieving your qualification. This could be attending a virtual classroom lesson or workshop, having 1:1 meeting with your tutor, completing online resources, completing research, or working on evidence to put in your portfolio. You will also meet regularly with your coach and your line manager to ensure you are progressing through your programme as expected. Upon successful completion of your apprenticeship, you will be awarded a Level 4 Data Analyst Apprenticeship.
More training information
To help you settle into your role, we’ll provide you with a buddy from our apprentice population. They will have some great advice as they were in exactly the same situation as you not so long ago, and you’ll also receive full support from your Line Manager and the Early Careers Team who will help guide you throughout your apprenticeship programme to help you achieve professional success.
Requirements
Essential qualifications
GCSE in:
* English & Maths (grade 4-9/C-A* or equivalent)
Other in:
* A Levels, BTEC, Apprenticeship, T-Level (grade Pass)
Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
* Communication skills
* IT skills
* Attention to detail
* Organisation skills
* Customer care skills
* Administrative skills
* Number skills
* Analytical skills
* Logical
* Team working