OUTSERVE LIMITED

Level 4 Data Analyst Apprentice - 19532

Employer:

OUTSERVE LIMITED

Training Provider:

QA LIMITED

Annual wage £14,000.00
35.0 hours per week (9am-5pm, with an hour lunch, Monday-Friday)
duration: 18 months
start: 24 February 2020
Stafford
Higher(level 4-7)
Data analyst Level 4 (Higher national Certificate) (apprenticeship standard)
10 February 2020 (application closing date)
This is a fantastic opportunity to work for a technology solutions company. You’ll be responsible for ongoing tasks and responsibilities. This is an 18-month Data Analyst Apprenticeship, consisting of training in small groups, covering: Introduction to Data, Data Structure and databases, Data Analysis, Data Modelling & Data Architecture.

Responsibilities

You’ll be utilising the training guides with support to learn how the cloud-based software applications that we offer work (mainly Unleashed, but also Shopify, Woocommerce etc.). You’ll be working closely with the projects team to ensure current projects are delivered seamlessly, which will include inserting data into cloud software, helping clients with any data issues and handling support queries on data issues. 

Main Tasks & Responsibilities: 
•    Using, Google Sheets, Excel, Tableau and PowerBI
•    Installing and managing databases
•    Familiarisation with SQL commands
•    Using Python to do simple statistical analysis
•    Understanding and defining problems
•    Developing knowledge of data cleansing and standardisation
•    Using charts and visualisations in all above software interpreting results
•    Documenting and disseminating data
•    Complying with the Data Protection Act
•    Using data analysis tools to perform statistical functions
•    Using 3rd party software API’s to build databases for reporting  

Future Prospects

92% 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. 

Reality Check

Company Benefits: 

  • Monthly team-building sessions, outside of working hours, with food and drink provided
  • Regular one-to-ones to ensure us, and our apprentices, are happy and progressing within their employment
  • We offer performance-related incentives
  • Pay review incentive upon successful completion of the Data Analyst Apprenticeship
  • Our company approved dress code is black or dark lower half, can be jeans, and we provide a polo t-shirt
  • Attending Industry events e.g. our annual 2-day event in London
  • Staff are invited to join the discussion on other company benefits 

Important Information:  
QA’s apprenticeships are funded by the Education & Skills Funding Agency (ESFA), an executive agency of the Department for Education. 
To be eligible for a Government funded apprenticeship you must have lived in the UK or European Economic Area (EEA) for the last 3 consecutive years. 

Skills Required

  • Excellent IT skills 
  • Excellent numerical and analytical ability and attention to detail 

Qualities Required

  • Passion for innovation and change within the data environment 
  • Strong work ethic and integrity 
  • Ability to work well in a team environment 
  • You do not require previous experience but having a keen attention to detail and a positive can-do attitude and commitment to successfully achieving the apprenticeship
  • Someone who works well in a team and is confident
  • Has a drive to help the business achieve its mission and vision
  • A willingness and commitment to learning the role and successfully completing the Data Analyst apprenticeship programme

Qualifications Required

  • Two A-Levels or a Level 3 apprenticeship in a similar subject 

Or 

  • BTEC in IT or International Baccalaureate at Level 3 in IT 
  • And GCSE’s or equivalent Level 2 in English and maths is desired 

Training Provided

As well as on the job learning, the apprentices will also study towards their Level 4 (Higher) Data Analytics Apprenticeship.

Covering modules such as Data Analyst Tools and Data Analyst Concepts. 

Apply now