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Data Technician Apprentice

KAINUU LTD · North West · L1 8JQ

Apprenticeship Level 3 Unclassified
Salary£15,600 yearly
LocationNorth West
PostcodeL1 8JQ
Start date6 Dec 2026
Apply by6 Nov 2026
QualificationData technician (level 3)
Training providernowskills limited
Job ID53919
View role on Apprentago

About the role

Data Analyst Trainee 📊

Ready to kickstart your career in the world of data? We're looking for enthusiastic and detail-oriented individuals to join our team as Data Analyst Trainees! This is your chance to gain hands-on experience and learn the ins and outs of data management and analysis.

What you'll be doing:

  • Gathering, checking, and keeping data super accurate. ✅
  • Keeping our databases and spreadsheets up-to-date and organized. 📂
  • Creating awesome reports, dashboards, and summaries that tell a story. 📈
  • Spotting cool trends and patterns in the data. 🔍
  • Helping with data quality checks to make sure everything is spot on. ✔️
  • Supporting various teams with their data needs. 🤝
  • Learning to master industry-standard software and reporting tools. 💻
  • Handling sensitive information with care and keeping it confidential, following GDPR rules. 🔒
  • Collaborating with your teammates while also owning your tasks. 🧑‍🤝‍🧑

What you'll learn:

  • The fundamentals of data collection, validation, and maintenance.
  • Database and spreadsheet management techniques.
  • Report generation and dashboard creation.
  • Data analysis for trend and pattern identification.
  • Data quality assurance best practices.
  • Effective communication for data requests.
  • Proficiency in industry-standard data tools.
  • GDPR compliance and data confidentiality.
  • Teamwork and individual workload management.

If you're eager to learn, a natural problem-solver, and ready to dive into data, we want to hear from you! 🚀

Key responsibilities

  • Collecting, validating and maintaining accurate data
  • Updating and managing databases and spreadsheets
  • Producing reports, dashboards and data summaries
  • Identifying trends and patterns within data
  • Assisting with data quality checks and ensuring information is accurate