Data Analyst Apprenticeship

CABOT LEARNING FEDERATION

Bristol, BS5 9JH

Closes on Monday 27 January

Posted on 19 December 2024

Print

Contents

Summary

As a Data Analyst Apprentice, you’ll play a vital role in helping them achieve their mission. This is your opportunity to develop your skills, learn from experienced professionals, and gain valuable qualifications while making a meaningful impact.

Annual wage
£11,393 a year

Minimum wage rates (opens in new tab)

37 Hours per week - however, term time only so 13 weeks off a year which is why salary is below NMW.

Training course
Data analyst (level 4)
Hours
Monday- Friday (8 AM - 4 PM or 9 AM - 5 PM)

30 hours a week

Possible start date

Tuesday 28 January

Duration

1 year 3 months

Positions available

1

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

  • Form productive relationships with the Trust Data Analysis Lead and wider data team and work closely to deliver on all areas of data across the trust whilst focusing on the area of data analysis.
  • Analyse data to allow impact in areas such as assessment, results, attendance, suspensions, in all academies for all phases allowing unbiased sector leading analysis. Support the expansion of data into areas such as professional services, incorporating data into analysis
  • Support and contribute to the creation of a data eco system, understanding where data is sourced with a view to integrating improved systems such as MS Fabric to create a sector leading synergy of data, which has tangible benefits such as streamlining and enhanced data understanding
  • Use and support in use of advanced software solutions such as
  • Power BI to deliver industry leading insight
  • Make quick evaluations based on evidence to develop solutions to complex problems
  • Work collaboratively with CLF school improvement team & SLE’s to support and develop the approach to data analysis around the Trust wide mock exams, supporting collection and analysis of data from academies
  • Ensure all written and electronic data entry, reports, records, letters, and other documentation are completed in an accurate, comprehensive, and timely manner
  • Extract large quantities of data from systems and use relevant software to manipulate this data to meet organisational requirements
  • Manage and manipulate data in a clear, concise, and appropriate way for the relevant audience. Manage and use data in a safe manner and in line with GDPR legislation
  • Present Data findings by visualising data via meetings and emails

Where you’ll work

CLF Institute

Russell Town Avenue

Redfield

Bristol

BS5 9JH

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

BALTIC TRAINING SERVICES LIMITED

Your training course

Data analyst (level 4)

Equal to higher national certificate (HNC)

Course contents
  • Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
  • implement the stages of the data analysis lifecycle
  • apply principles of data classification within data analysis activity
  • analyse data sets taking account of different data structures and database designs
  • assess the impact on user experience and domain context on data analysis activity
  • identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
  • undertake customer requirements analysis and implement findings in data analytics planning and outputs
  • identify data sources and the risks and challenges to combination within data analysis activity
  • apply organizational architecture requirements to data analysis activities
  • apply statistical methodologies to data analysis tasks
  • apply predictive analytics in the collation and use of data
  • collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
  • use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
  • select and apply the most appropriate data tools to achieve the optimum outcome
  • Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
  • implement the stages of the data analysis lifecycle
  • apply principles of data classification within data analysis activity
  • analyse data sets taking account of different data structures and database designs
  • assess the impact on user experience and domain context on data analysis activity
  • identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
  • undertake customer requirements analysis and implement findings in data analytics planning and outputs
  • identify data sources and the risks and challenges to combination within data analysis activity
  • apply organizational architecture requirements to data analysis activities
  • apply statistical methodologies to data analysis tasks
  • apply predictive analytics in the collation and use of data
  • collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
  • use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
  • select and apply the most appropriate data tools to achieve the optimum outcome

Your training plan

  • Your training will be delivered online via a SMART classroom every 4-6 weeks in two day blocks

Requirements

Essential qualifications

GCSE in:

  • English (grade 4/C)
  • Maths (grade 4/C)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

  • Communication skills
  • Analytical skills
  • Logical
  • Passion for Data

About this company

At the Cabot Learning Federation (CLF), They're passionate about providing every child with an exceptional education. As a leading multi-academy trust based in the South West of England, they support over 20 academies to unlock potential and empower futures. Their innovative approach to education relies on data to inform decision-making, improve outcomes, and shape strategies for success.

Company benefits

- Term time only plus 10 days 13 weeks holiday is natural term time - Annual conferences - Childcare Vouchers - Cycle to Work Scheme - Discounted Gym Membership - Employee Discounts - Pension Scheme

After this apprenticeship

  • This apprenticeship provides everything you need to immerse yourself in the exciting world of technology and launch a rewarding career in Data

Ask a question

The contact for this apprenticeship is:

BALTIC TRAINING SERVICES LIMITED

Jake Wraight

Jake.wraight@balticapprenticeships.com

The reference code for this apprenticeship is VAC1000293027.

Apply now

Closes on Monday 27 January

When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.

After signing in, you’ll apply for this apprenticeship on the company's website.