Data Analyst Apprentice (L4) - Castles & Coasts Housing Association - £23,015p/a - 36.25hrs/w

The apprentice will join our Data Team who play a vital role in ensuring the business use accurate information to guide decision-making, improve services, and deliver value for money. The apprentice will work in support of colleagues from a wide range of services to make best use of all available data to achieve the best results.

During the apprenticeship, the Data Analyst Apprentice will learn and deliver:  
 
Data Collection & Management :

• Gather, collate, and validate data from internal systems and external sources.
• Maintain data quality, identifying errors and inconsistencies.
• Apply data protection and GDPR principles when handling information.  

Analysis & Interpretation:

• Use statistical and analytical techniques to interpret data.
• Support the Data Team in identifying patterns, trends, and insights.
• Contribute to business decisions by providing evidence-based recommendations.  

Tools & Technology:

• Learn to use data tools such as Excel, SQL, and Power BI.
• Develop coding and querying skills for data extraction and analysis.
• Create reports, dashboards, and visualisations to present findings clearly.

Communication & Collaboration:

• Work with colleagues across the organisation to understand their data needs.
• Explain technical findings in clear, accessible language to non-technical audiences.
• Support project teams with data requirements and performance monitoring.

Continuous Learning & Development:

• Participate in all apprenticeship training and assessments.
• Apply new knowledge, skills, and behaviours to workplace tasks.
• Reflect on learning and seek opportunities to improve.

Essential skills, characteristics and experience 
 
The successful candidate will be expected to demonstrate or develop the following in line with the Level 4 Data Analyst apprenticeship standard:  
 
Knowledge (to be developed through the apprenticeship):  

• Different types of data and how they are used to support decision-making.
• Data structures, databases, and data management principles.
• Data analysis methods, statistical techniques, and validation processes.
• Industry-standard tools (e.g., Excel, SQL, Power BI, Python/R).
• Data legislation, policies, and ethical considerations (e.g., GDPR).
• How organisations use data for business improvement.

Skills (to be demonstrated and applied during the role):  

• Collecting, organising, and formatting data from multiple sources.
• Performing data cleansing to ensure accuracy and reliability.
• Applying analytical and statistical methods to identify trends.
• Using tools and techniques to create reports, dashboards, and visualisations.
• Summarising and presenting data in ways that are meaningful for different audiences.
• Communicating findings clearly to colleagues and stakeholders.
• Managing own time and workload effectively to meet deadlines.

Behaviours (to be demonstrated consistently):  

• Attention to detail and commitment to data accuracy.
• Logical and creative thinking in problem-solving.
• Professionalism and integrity when handling sensitive information.
• Collaboration and teamwork across departments.
• Proactive approach to learning and applying new skills.
• Commitment to delivering value and positive outcomes for customers and communities.  

• IT skills
• Attention to detail
• Number skills
• Team working

• English GCSE, grade 4 (C) (Essential)
• Maths GCSE, grade 4 (C) (Essential)