Data Analyst Apprenticeship

K10

Reading, England, United Kingdom

Reading, England, United Kingdom

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À propos

This apprenticeship is part of The Thames Water Shared Apprenticeship Scheme and is a programme sponsored by Thames Water to address the skills gaps within their supply chain. The scheme features a compulsory industry rotation to enable apprentices to get experience in different environments and boost the chances of further employment in the sector. The Thames Water Shared Apprenticeship Scheme are looking for a Data Analyst Apprentice in the Thames Valley/Reading area. Job Description An apprentice data analyst is responsible for collecting, inputting and outputting data, cleaning and preparing it for analysis, and creating basic reports and visualisations. They support more experienced analysts in modelling data and may also be involved in basic programming tasks. As they gain experience, apprentices are expected to learn new tools and techniques and take on more complex responsibilities in the field of data analysis. Duties may include : Identify data sources to meet the organisation's requirements using evidence-based decision making to create various data. Collaborating/working with clients and colleagues to determine reporting needs and deliver accurate information. Collect, compile and, if needed, cleanse data. Solving any problems that arise from a range of internal and external systems. Generate performance dashboards and reports during the Visualisation and Model Building phase. Maintain and develop reports for analysis, ensuring compliance with organisational policies and legislation. Create standard and non-standard statistical and data analysis reports Analyse and interpret data trends and patterns, drawing conclusions and providing guidance for understanding. Summarise and present data analysis results to stakeholders, offering recommendations. Ensure data storage and archiving align with relevant legislation, such as GDPR. Using databases including PowerBI, Python and Excel. Using programme languages such as SQL, HTML, JSONS etc. Occasional remote work. Typical Working Week 40 hours p/w with start time typically between 07:00 & 08:00 inclusive of paid 8 hours at college. Person Specification Proactive approach, taking pride in their work and taking accountability for decisions. A love of variety in a role and ability to adapt to a dynamic, fast-paced working environment Ability to quickly prioritise tasks and the initiative to dive head-first into problem solving No two days are the same on the front line and not every day goes to plan, so youll need to be quick on your feet to respond! Excellent communication and collaboration skills and enjoy working with multiple teams Ability to analyse and interpret information and effectively communicate this to different team members and audiences Ability to visit different sites and training days Curiosity to learn quickly in a reactive and dynamic working environment. Ability to work in all weather conditions to serve our customers and protect the environment Able to understand and follow health and safety protocols Qualifications required/desirable Minimum Requirements English and Maths at GCSE Grade 4 / C or above, or Functional Skills at Level 2 or above. Desired Requirements A high interest in developing your knowledge and understanding of key concepts and techniques that help organisations effectively use data to make decisions. Key Training/College Information K10 will enrol you to the
Level 4 Data Analyst
course and fund your qualifications through an accredited training provider. The apprenticeship duration is 24 months. Eligibility To start this apprenticeship, youll need to be: Living in England for the last 3 years and have right to work status Not enrolled on any other courses 18+ due to site H&S rules Not hold a higher/equivalent qualification in the same field. Must have a full UK drivers licence and access to a vehicle. Who We Are We are UKs largest construction-specific Apprenticeship Training Agency. Founded in 2009, we are an award-winning social enterprise with a passion to convert potential. Our aim is to place our learners in sustainable employment on projects in their local area. To do this, we collaborate with government, referral organisations, local authorities, developers, contractors, and colleges, to deliver apprenticeship programmes specifically designed to upskill the future of construction.
TPBN1_UKTJ

Reading, England, United Kingdom

Compétences linguistiques

English

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