Data Analyst Apprentice
Burnley | Site Based
Skills: Data Analysis, Excel, Power BI, Reporting, Business Intelligence, Data Visualisation, Continuous Improvement
Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you—both in and out of work, including:
37 hour working week over 4.5 days with a 1pm finish on Fridays (role dependant)
25 days' holiday + bank holidays (plus the option to buy an additional 5 days)
10% employer pension contribution (5% employee contribution with the option to increase via salary exchange)
Flex-time scheme that allows you to take two half days or one full day off per month (role dependant)
4X life insurance benefit as a member of the pension scheme
Non-contributory BUPA private medical insurance plan (role dependant)
Excellent training, education, and development schemes
Enhanced sickness, maternity, adoption and paternity leave
Option to purchase Safran shares with additional free shares from the company
Excellent on-site catering facilities providing subsidised hot and cold meals
Corporate membership at the Crow Wood Hotel & Spa
Wellbeing support through our employee assistance programme
Cycle to work scheme, along with a range of flexible benefits chosen by you
Safran – Here, we craft excellence together.
About Safran Nacelles
Safran Nacelles is a worldwide leader in aircraft engine nacelles. Our products and services equip all aircraft types; regional, business, short, medium and long-range commercial aircraft. Our expertise covers nacelle design, manufacturing, integration, maintenance and services. Our site in Burnley provides employment to almost 700 people and we are proud to be one of the largest private sector employers in Burnley.
Your Role
As a Data Analyst Apprentice, you will develop essential data skills while supporting business and operational teams in making data-driven decisions. Working alongside experienced data specialists and improvement teams, you will help collect, process and analyse data to identify insights and drive process improvements across the site.
Key responsibilities include:
Assisting with collecting, cleaning and validating datasets from operational, production and business systems
Supporting the creation of reports, dashboards and visualisations to communicate findings to stakeholders
Working with colleagues to understand data requirements for projects and day-to-day operations
Participating in projects that analyse process performance, efficiency and product quality
Documenting analytical processes and maintaining data quality and consistency
Learning to use industry-standard tools such as Excel, Power BI and programming tools under guidance
Helping maintain and improve datasets and repositories while ensuring secure and ethical data handling
Supporting presentations and meetings by communicating findings in a clear and engaging way
