Data Analyst Apprentice

Summary

The Apprentice will be involved with analysing financial data, identifying trends and creating models that present results in an informative and visual way. You will develop database skills to be able to interpret and relay data confidently and clearly to others. You will become an expert in the use of Power BI, Power Query and SQL knowledge.

Wage

£17,000 a year

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The salary will range from £17,000 up to £20,000 per annum.

Training course

Data analyst (level 4)

Hours

Days and shifts to be confirmed.

37 hours 30 minutes a week

Start date

Monday 21 April 2025

Duration

1 year 6 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you’ll do at work

Key duties / Business and Financial Results:

Develop skills in the use of Microsoft Power BI to create reports that provide solutions to clients’ challenges.
Attain a detailed understanding of the cloud-based financial software and applications in our portfolio, in order to build some basic reports that look for trends and present key data to be shared with clients.
Observe and participate with database management in data warehouses and data lakes for consolidation of client systems and data.
Handle client support queries on their data issues and participate in scoping meetings with clients to ascertain their needs.
Observe and support with software launches and integrations and learn the process of moving data from source to warehouse via middleware and API.
Analyse and interpret data and statistics.
Input into reviewing processes in order to increase efficiency and automate processes.

Where you’ll work

Schott House
Drummond Road
Stafford
ST16 3EL

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

QA 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

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.

Requirements

Essential qualifications

GCSE or equivalent in:

5 including Maths & English (grade Grade 4 (C) or above)

Desirable qualifications

A Level or equivalent in:

Relevant subject (grade Any)

BTEC or equivalent in:

Relevant subject (grade Level 3)

Other in:

Apprenticeship in similar subject (grade Level 3)

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

IT skills
Attention to detail
Problem solving skills
Administrative skills
Team working
Initiative
Non judgemental
Passion for data analytics

About this company

Outserve Limited is a UK-based team of experts who offer software implementation, integration, automation, and accounting services for small to medium enterprises. We help clients grow and scale their business with data-driven decisions.

After this apprenticeship

We may (and often do) offer a permanent position post completion of the apprenticeship, but we are just as open to support your career aspirations elsewhere to build the talent in an industry we are passionate about.

Benefits:

24 days holiday plus bank holidays, can buy or sell up to five days, 1 month before the start of the holiday year after probation period
Snacks and drinks provided in the office
Monthly Health and Wellbeing payment
Private medical insurance after probation period, family members can be added at your own expense
Pension via Nest after 3 months
Death in service and Yulife App

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