Data Analyst, Learning & Innovation (Hybrid)

Data Analyst, Learning & Innovation (Hybrid)

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Kick it Out

At a Glance

  • Tasks: Create high-quality dashboards and provide trusted insights for Learning & Innovation.
  • Company: FA Learning, a leader in advancing data architecture and analytics.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Interviews held at The National Football Centre, St. George's Park.
  • Why this job: Be the first specialist data analyst and make a real impact on data governance.
  • Qualifications: Experience in data analysis and a passion for translating business needs into data solutions.

The predicted salary is between 30000 - 40000 £ per year.

FA Learning is advancing its data architecture and analytics maturity.

This role is the department’s first specialist data analyst, accountable for high-quality dashboards, governance and trusted insights across Learning & Innovation.

The post holder will translate business needs into data requirements and ensure access to clean, governed data in a central platform.

Interviews will be held at The National Football Centre, St. George's Park.

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Data Analyst, Learning & Innovation (Hybrid) employer: Kick it Out

Kick It Out is an exceptional employer dedicated to fostering a positive work culture where passion for sport meets personal development. As a Football Education Coach, you will not only enjoy a competitive salary and generous annual leave but also have the unique opportunity to inspire and mentor young people in South London, making a meaningful impact in their lives. With a focus on growth and community engagement, this role offers a rewarding experience for those looking to contribute to youth development through football.

Kick it Out

Contact Details:

Kick it Out Recruitment Team

We think you need these skills to ace Data Analyst, Learning & Innovation (Hybrid)

Communication Skills
Problem-Solving Skills
Python
Automation
SQL
Attention to Detail
Data Engineering