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
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