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Data Analyst Apprentice
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Are you ready to transform raw data into business gold?
As a Level 4 Data Analyst Apprentice, you'll be at the heart of decision-making, uncovering hidden patterns and driving real business impact. This is your chance to develop in-demand analytical skills while working with cutting-edge tools and technologies.
You'll become fluent in Excel, SQL, Power BI, and Tableau - the essential toolkit of modern data professionals. But that's just the beginning. You'll also harness the power of AI-driven technologies like Claude to automate processes, unlock insights faster, and elevate your analytical capabilities to the next level.
Key Responsibilities
- Collect, clean, and prepare data from multiple sources to ensure accuracy and reliability
- Perform in-depth data analysis using SQL and Excel to identify trends, patterns, and anomalies
- Create compelling visualisations in Power BI and Tableau that tell data stories and drive action
- Automate routine processes and build workflows using AI tools, saving time and reducing errors
- Present findings to stakeholders and translate technical insights into actionable business recommendations
- Collaborate with cross-functional teams to understand data needs and deliver solutions that matter
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Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
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
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Data Analyst Level 4 Apprenticeship Standard
You will also receive full training and support from the Apprenticeship Team to increase your skills.
Requirements
- GCSE in:
- English (grade 4/C +)
- 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.
About Us
We're a growing business that truly values analytical thinking and data-driven decision-making. Your work will have immediate, visible impact on company strategy and operations. You'll join a supportive, collaborative culture where learning is encouraged, and your ideas are heard.
Your earnings can increase over time with an apprenticeship. [Find out about potential future pay](opens in new tab).
Potential full-time position for the right candidate after completion of the apprenticeship.
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