Power BI Developer apprentice

Summary

Launch your tech career with Morson Talent's Data Analyst apprenticeship! Earning while mastering cutting-edge technologies like Power BI, gaining industry-recognised certifications, and more. Dive into hands-on projects, learn from expert mentors, and secure a future in high-demand roles. Join us and shape the future of data analytics!

Wage

Competitive

Competitive wage offered

Check minimum wage rates (opens in new tab)

Training course

Data analyst (level 4)

Hours

Monday to Friday, 9.00am to 5.00pm, with Wednesday's being for training at the UA92 Old Trafford Campus.

37 hours 30 minutes a week

Start date

Wednesday 30 April 2025

Duration

2 years

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

Assist in collecting, cleaning, and analysing data from various sources.
Support the development and maintenance of reports and dashboards.
Learn to use data visualisation tools to present insights effectively.
Work with teams across the business to understand data needs and provide support.
Help maintain data accuracy and integrity within databases and reporting systems.
Learn and apply coding skills in SQL, Python, or other relevant tools.
Assist in automating data processes to improve efficiency.
Stay up-to-date with industry trends and best practices in data analytics.

Where you’ll work

Adamson House
Centenary Way
Salford
Manchester
M50 1RD

Training

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

College or training organisation

UNIVERSITY ACADEMY 92 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

As part of Morson Talent's DevOps focus, you'll engage in a comprehensive program delivered once a week in collaboration with University Academy 92 (UA92) at their Old Trafford campus.

The teaching approach combines face-to-face sessions at UA92's state-of-the-art £2m digital academy, hands-on experiences at Morson Talent, interactive tutor-led sessions via MS Teams, and self-paced eLearning, including lab exercises.

More training information

Embark on a data-driven career with our comprehensive training program.

You'll work towards the BCS Level 4 Data Analytics Apprenticeship, enhanced with specialised certifications in data analytics from industry leaders, potentially including Microsoft's Power BI certifications.
Gain expert-level proficiency in data manipulation, visualisation, and analysis through hands-on experience with real-world datasets and business challenges.
Master data pipeline creation and automation, which are essential for efficient data processing.
Receive top-tier technical training in data analysis tools and methodologies, including instruction on Power BI, data warehousing, and database management.
Learn directly from Subject Matter Experts who will impart their practical knowledge and expertise, ensuring you're well-equipped to excel in the field of data analytics.
Collaborate closely with our teams to ensure data integrity, security, and compliance in all areas.
Develop strong scripting skills in languages for data automation and analysis.
Build robust interpersonal and business acumen through collaborative projects.
You'll gain practical experience in data-driven problem-solving, working on real-life business challenges related to data systems.
Receive dedicated support and mentorship from industry professionals, guiding you through your learning journey.
You'll work to project milestones, reporting to a team manager with regular progress meetings, ensuring you master the skills needed to become a proficient Data Analyst.

Requirements

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
Problem solving skills
Analytical skills
Proactive
Time management

About this company

At Morson Talent, we pride ourselves on being a premier recruitment firm with a rich legacy of connecting talent to pivotal roles across diverse industries. Our expertise is unmatched, and we deeply understand the distinct needs of businesses, ensuring they find the ideal candidates. With our extensive network and profound industry insights, we strive to provide both employers and job-seekers with the perfect match. Our dedication to excellence and our tailored approach set us apart.

https://careers.morson.com/reasons-to-join?source=google.com (opens in new tab)

After this apprenticeship

Progression paths, such as Entry-Level Data Analyst or Senior Data Analyst.
Specialised roles, such as Data Science, Data Engineering, Business Intelligence, Data Governance.
Leadership roles, such as Data Analytics Manager or Data Science Manager.

Ask a question

The contact for this apprenticeship is:

UNIVERSITY ACADEMY 92 LIMITED

apprenticeships@ua92.ac.uk

The reference code for this apprenticeship is VAC1000311095.

Apply now

Closes in 24 days (Monday 28 April 2025 at 11:59pm)

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.

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