Data Analyst Apprentice

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

Training:
Data Analyst Level 4 Apprenticeship Standard You will also receive full training and support from the Apprenticeship Team to increase your skills

Training Outcome:

Potential full-time position for the right candidate after completion of the apprenticeship.

Employer Description:

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.

Working Hours :
Monday - Friday 9.00am - 5.30pm. Shifts to be confirmed.

Skills:
Communication skills,IT skills,Attention to detail,Organisation skills,Customer care skills,Problem solving skills,Analytical skills,Logical,Team working,Creative,Motivated,Can do attitude,Tech Savvy,Passion for Data,Enthusiastic,Willingness to learn