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Data Analyst Apprentice

  • QA Apprenticeships
  • , Greater London
  • £11.06 per hour
Vacancy provider logo for QA

  • GMFJ Reference
    256451
  • Wages
    £11.06 p/h
  • Hours
    35.00 per week
  • Date Posted
    20/12/2024
  • Start Date
    27/01/2025
  • Duration
    Not Specified

  • Location
  • Status
    Now Taking Applications
  • Sector
    Data analysts
  • Opportunity Type
    Higher Level 5
  • Employer
    QA Apprenticeships

Description

About Us: 



At Retail Trust, we're revolutionising the way data drives business insights and innovation to support more people to be happy at work. Our cutting-edge data platform, built on Databricks and Azure, already includes the use of Azure Open AI. 



Join us and be part of a team that's pushing the boundaries of technology to deliver real-world impact and make the retail industry a happy and healthy place to work.



We offer professional development and growth opportunities to help you advance your career. You will receive guidance and mentorship from senior data engineers and team members, ensuring you have the support needed to grow and succeed. 
Most importantly, make a real impact with your work by improving the wellbeing of retail colleagues.



Overview:



We are now looking for an eager candidate to join us as an Data Analyst and gain their level 5 Data Engineer qualification. You will gain hands-on experience with Databricks and Azure, learning to extend and maintain our data platform. 



Salary: £23,000 per annum.



Duties:  





  • Your day will be spent providing high-value data analysis to all areas of the business.


  • You will be working in new reports, and Power BI dashboards and making improvements to existing wok.


  • You will carry our data analysis for all parts of the business using your experience as a data analyst to identify trends and data insights and to answer data related questions.  This will involve analysing data from multiple data sources including Dynamics CRM and our databricks lakehouse.


  • You will work closely with colleagues at all levels to gain understanding of their data needs so you can create dashboards and visualisations that meet their needs for accurate and actionable business insight.


  • You will be an integral part in influencing change and shaping how the organisation evolves to embed the use of data and insights into the heart of all decision making.


  • You will play a key role in the development of the Retail Trust new data and insights platform, identifying data requirement, ingesting and modelling data, and looking for trends that will help clients improve employee happiness




About You: 
Desired skills and qualities: 





  • Experience with using Microsoft Power BI in Dynamics (or a similar environment) to create dataflows, reports and dashboards.


  • Experience with Python & SQL


  • Experience with modelling data either in Power BI, Databricks (or similar)


  • Experience with using Dataricks (or a similar lakehouse)


  • Experiance with web analytics such as Clarity and Google Analytics.


  • Highly analytical with strong mathematical and statistical skills.


  • Excellent written and verbal communication skills.




Entry Requirements:
Standard entry:





  • Level 3 qualification (apprenticeship/A-levels/BTEC, etc)


  • OR equivalent work experience (typically two years in a relevant role)
    Plus:


  • 5 GCSE's, including English and Maths at Grade 4 (C) or above 


  • Experience with using Excel (in particular pivot tables and XLookup) and Microsoft products (or similar)




You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.



If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. 



Our Tech Stack: 





  • You will gain hands-on experience with Databricks, including Workflows/Jobs, DLT Pipelines, and Delta Live Tables (DLT). You will learn programming languages and tools such as Python, PySpark, Pandas, Pytest, and SQL. Additionally, you will become familiar with data modelling concepts like schema design and ETL/ELT processes. 


  • The role involves working with cloud technologies and AI, specifically Azure, and using version control systems like Git. 


  • You will also learn about CI/CD pipelines and collaboration tools such as Azure ADO, Slack, and Teams.




Perks / Benefits: 
At the Retail Trust, we look after our colleagues by offering market leading benefits, including:





  • Hybrid working - two days in the office, 3 days at home. 


  • A pension scheme of up to 9% employer contributions.


  • Life assurance of four times your salary.


  • Private Medical Insurance on completion of 12 months service


  • A health cash plan, allowing you to claim back on the cost of a number of services such as optical, dental, medical.


  • Access to a free counselling a support phoneline and a second medical advice service.


  • 25 days annual leave, plus bank holidays.


  • Additional days off including a duvet day, self-development/volunteering day and a day to celebrate your birthday.


  • Enhanced family friendly benefits including up to ten days compassionate leave per year, three months full maternity pay, and two weeks full paternity pay.




Future Prospects:



90% of QA Apprentices secure permanent employment after finishing their apprenticeship. 
Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks. 



Important Information: 

 

Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 30,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. 

 

Apply now!

 

For more information about this vacancy please contact QA on 01793696141 (Ref ID: 256451)

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