Data Analyst Apprentice

Gateshead, Tyne And Wear

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Data Analyst Apprentice

Apply From: 16/04/2025

Learning Provider

Delivered by QA LIMITED

Employer

COMMERCIAL MAINTENANCE SERVICES UK LIMITED

Vacancy Description

Key Responsibilities:

  • Support the day-to-day administration and maintenance of the Joblogic system
  • Maintain data accuracy and consistency within the system by regularly auditing records, identifying quality issues, and supporting data cleansing initiatives
  • Support the creation and distribution of operational and performance reports, working closely with various departments to gather and understand their data needs
  • Collaborate with operational teams to improve the quality and timeliness of data entry
  • Troubleshoot and escalate system issues with the relevant stakeholders or Joblogic support
  • Work with the data team to identify trends, inefficiencies, and opportunities for automation to improve efficiency
  • Assist in developing clear and accurate documentation, including user guides and best practices for Joblogic. Maintain records of procedures, findings, and data definitions to support system consistency and user understanding
  • Assist in gathering, organising, and analysing data from a variety of sources
  • Maintain and update dashboards and reports for internal teams

You will learn to use business intelligence tools and databases (e.g., Excel, Power BI, SQL).

Key Details

Vacancy Title: Data Analyst Apprentice

Employer Description

Commercial Maintenance Services UK Ltd (CMS) are a nationwide market leader in Facilities and Commercial Building Maintenance. Established in 2000, CMS have built a reputation for delivering trusted and specialist M&E Hard and Building Maintenance Services to clients across the UK. With a team of over 190 employees operating 24/7, 365 days a year, CMS offers a range of integrated commercial maintenance services, including reactive and planned Gas, Heating, Plumbing, Air Conditioning, Electrical, Catering Equipment installation, repair and maintenance.

Vacancy Location

Tyne House Temple Street Felling Gateshead NE10 0HN

Wage Frequency

Custom

Number of Vacancies

1

Vacancy Reference Number
Key Dates

Apply From: 16/04/2025

Closing Date For Applications: 2025-05-:59:59

Interview Begin From:

Possible Start Date: 2025-05-:00:00

Training

Training to be Provided:

QA's Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.

The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing.

At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.

QA's Data Analyst Level 4 apprenticeship programme enables your organisation to:

  • Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders
  • Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace
  • Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent
  • Delivered by industry experts with real-world experience, the programme's content has been designed around real-life skills and includes the additional PL-300 Microsoft Power BI Data Analyst certification. The technical content aligns to and is relevant to employers and the market

Upon successful completion, learners will be awarded the Data Analyst Level 4 apprenticeship.

Learning Provider

QA LIMITED

Skills Required

Communication skills, Attention to detail, Organisation skills, Problem solving skills, Analytical skills, Team working, Non-judgemental

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Date Posted: 24 April 2025
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