Data Analyst Apprentice

Summary

We are now looking for an eager candidate to join us as an apprentice. You will have the opportunity to gain valuable skills and experience as you complete a Data Analyst - Level 4 Apprenticeship. We are looking for candidates with a passion for data and are looking to start a career in the data industry.

Annual wage: £25,000 a year
Minimum wage rates (opens in new tab)
Training course: Data analyst (level 4)
Hours: 9am to 5pm, Monday to Friday,
37 hours a week
Possible start date: Monday 16 December
Duration: 1 year 6 months
Positions available: 2

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

The role / Duties:

You will work with our experienced team to provide day-to-day analysis support to our commercial and operational teams.
The analysis you produce will be used by the business teams to support decision making, drive change and assess performance.

As part of your role you will have the opportunity to complete the Data Analyst Level 4 apprenticeship where you will have the opportunity to develop your skills in PowerBI, SQL Server, SSIS, Python, R programming languages and cloud technologies and apply these in real life scenarios through your day-to-day role.

Where you’ll work

Waterside House

Waterside Drive

Wigan

WN3 5AZ

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

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.

Requirements

Essential qualifications

GCSE in:

any subject --- x3 (grade Grade 4 (C) or above)
English (grade Grade 4 (C) or above)
Maths (grade Grade 4 (C) or above)
any 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
Organisation skills
Problem solving skills
Administrative skills
Team working
Non judgemental
Experience with BI tools
Experience with writing SQL
Microsoft Excel experience

About this company

The UK Tote Group is the proud owner and steward of the Tote, the UK’s leading pool betting operator since 1928. We’re passionate about all things racing, we love the sport and it’s in our DNA. You will find us online and across many racecourses in the UK and Ireland. Our headquarters in Wigan is the main hub for our team of over 200 innovative and ambitious experts dedicated to delivering our vision of providing the best betting experience for racing fans.

After this apprenticeship

You will be expected to proactively work with the rest of the BI team and key stakeholders across the business and upon successful completion of your apprenticeship will have the opportunity to specialise as you develop your skills and experience and become a subject matter expert in data analysis.

Our perks and benefits:
Our colleagues are the heart of everything we do and play a vital role in our success. We like to recognise all their hard work with our rewards and benefits package in addition to your basic salary. Our benefits cover everything from saving for the future, health & wellbeing and training, personal development & recognition.

This includes:

Discretionary Bonus scheme
Company Shares Option Plan
Simply Health Cash Plan
Holiday entitlement (33 days inclusive of bank holidays)
Apprenticeships, study support and opportunities for progression and development
Confidential 24/7 365 employee assistance helpline
Agile and collaborative office environment with free parking, fruit, biscuits, and drinks
Regular social events, charity events and volunteering opportunities
Contributory pension scheme
Life insurance (4 x basic salary)

Ask a question

The contact for this apprenticeship is:

QA LIMITED

The reference code for this apprenticeship is VAC1000287660.

Apply now

Closes in 20 days (Wednesday 11 December)

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

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