Overview
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.
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
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.
* 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 elevate 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 organisational 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.
Training schedule
During this apprenticeship, you will follow a fully supported training programme with LearnTech, delivered through combined weekly remote classroom‑based training, workplace assessment/training and online learning working towards completing the Data Analyst Apprenticeship Standard. The training will prepare the apprentice to competently deliver duties that can be found here: https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1. This is a fixed term position. Upon completion of the apprenticeship, the applicant will have achieved a Level 4 qualification for a data analyst.
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.
Qualifications
* GCSE in English (grade 4 (C)).
* GCSE in Maths (grade 4 (C)).
* Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
* IT skills.
* Attention to detail.
* Number skills.
* Team working.
Other requirements
* Have been a UK/EEA resident for the last 3 years.
* Hold valid residency status.
* Have the right to work in the UK.
* Can commute weekly to offices in either Newcastle‑upon‑Tyne or Carlisle as required to meet business needs.
About Castles & Coasts
Castles & Coasts is a social housing association with more than 7,400 homes across the North of England in Cumbria, Northumberland, Tyne and Wear and North Lancashire. We pride ourselves in focusing on the needs of the local communities we serve, tackling the housing shortage, improving services within our communities, and use our strength and efficiency to meet housing service needs. We are committed to providing excellent services to our customers.
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