Data Analyst Apprentice

Summary

Your responsibility will be to collect, organise and study data to provide business insight. You will be involved with managing, cleansing, abstracting and aggregating data, and conducting a range of analytical studies on that data.

Wage

£18,000 a year

Minimum wage rates (opens in new tab)

£18,000 - £20,000 per annum

Training course

Data analyst (level 4)

Hours

Days and shifts to be confirmed.

37 hours 30 minutes a week

Possible start date

Thursday 13 March

Duration

1 year 6 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

Interpret data, analyse results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Document and report the results of data analysis activities making recommendations to improve business
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyse, and interpret trends or patterns in complex data sets
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Work with management to prioritize business and information needs

Where you’ll work

Unit 3 Station Approach, Windmill Lane

Cheshunt

Waltham Cross

Hertfordshire

EN8 9AQ

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

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

Data Analyst Level 4 Apprenticeship Standard

More training information

Why choose our Data Analyst Apprenticeship?

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 (see below). 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.

Tools and technologies learned:

Learners will learn to use visualisation tools such as (PowerBI, Tableau), SQL Server, SSIS, Python and R programming languages, and Cloud Technologies such as: Azure, AWS, GCP

Requirements

Essential qualifications

GCSE in:

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

Desirable qualifications

A Level in:

Relevant subject (grade Level 3)

BTEC in:

Relevant subject (grade Level 3)

Other in:

Relevant 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

Communication skills
IT skills
Attention to detail
Number skills
Analytical skills

Other requirements

About QA: 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. Interested? Apply now!

About this company

Trimming Shop are one of the UKs biggest importers, retailers and wholesalers of event décor, haberdashery and sewing supplies and arts and crafts products. Our objective is simple; offer a huge range of interesting, innovative, creative and practical solutions at ultra-competitive prices, along with best-in-class levels of customer service.

Company benefits

Dress down attire Team outings every quarter Coffee machine Pension

After this apprenticeship

The possibility of full time employment

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