Data Analyst - Business in Sunderland

Data Analyst - Business in Sunderland

Sunderland Full-Time 30000 - 40000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data to drive business growth and optimise revenue for Sunderland AFC.
  • Company: Join Sunderland AFC, a vibrant football club with a passionate community.
  • Benefits: Enjoy 25 days annual leave, free season tickets, and employee discounts.
  • Other info: Dynamic work environment with opportunities for personal and professional growth.
  • Why this job: Make a real impact in sports through data analytics and collaboration.
  • Qualifications: Degree in a data-related field and experience in data analysis required.

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

At Sunderland AFC, you’re not just becoming part of a football club; you’re entering a vibrant community fuelled by passion and pride. Our commitment to making a difference means you’ll engage with local initiatives that truly matter, allowing you to leave a positive impact right here at home. You’ll thrive in an exciting, dynamic atmosphere where every day is a new adventure filled with the thrill of football and teamwork. We believe in nurturing talent, so you’ll have access to training programs and mentorship opportunities. Our diverse and inclusive culture celebrates individuality, ensuring that every voice is heard and valued. You’ll be part of a team that unites in the spirit of collaboration and respect, making your work environment both rewarding and inspiring.

We are a dedicated team of passionate innovators and problem‑solvers committed to empowering SAFC through data. Our mission is to deliver actionable insights and strategic support that drive informed decision‑making and business growth. We take pride in providing reliable analytics, insights, and support, enabling every team to perform at their highest potential.

This is an exciting opportunity for a Data Analyst to make a significant impact on the club’s business growth through data analytics. In this role, you will develop and maintain dashboards and reporting frameworks that provide clear, real‑time insights into performance across commercial partnerships, premium sales, ticketing, and retail. Your analysis will help identify key revenue optimisation opportunities, including upsell potential, price elasticity, and attendance drivers, directly supporting the club’s financial objectives. You will assist in sponsorship valuation and partner reporting by delivering data‑driven evidence of audience reach, engagement, and ROI. Additionally, your work will include analysing premium product performance, fan segmentation, and supporter journey data to generate actionable insights that improve marketing strategies, increase fan retention, and boost revenue. Collaborating with data engineering and business stakeholders, you will ensure data quality, support the development of predictive models, and promote a data‑literate culture within the club’s commercial teams. This role offers a fantastic chance to apply your analytical skills to drive strategic business decisions and contribute to the club’s commercial success.

We are looking for a candidate with a degree in a data‑related or quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Data Science, or Artificial Intelligence. A postgraduate qualification in a relevant analytical field is desirable but not essential. You should have a minimum of two years’ experience in a data analyst, marketing optimisation, or business intelligence role, with proven experience working with CRM, ticketing, or e‑commerce data within a consumer‑facing business. Experience supporting partnerships and managing customer or fan data in the sport, entertainment, or events sector is a plus. We value a proven track record of leveraging AI workflows to drive innovation, enable commercial growth, and improve operational efficiencies. Experience in building or contributing to fan or customer segmentation models is desirable but not essential. You should have strong proficiency in SQL for data extraction, transformation, and analysis, along with skills in Python or R for statistical analysis and modelling. Experience with BI and visualization tools such as Tableau, Power BI, or equivalent platforms is important, as is an understanding of data warehousing concepts and experience working with cloud data platforms like S3 or Redshift. Above all, we seek a highly organised individual capable of managing multiple priorities and deadlines effectively. You will be required to obtain an Enhanced DBS through SAFC.

Sunderland AFC is an equal opportunity employer. We are committed to a policy of treating all employees and job applicants equally. Our aim is that all colleagues should be able to work in an environment free from discrimination, harassment and bullying. Safeguarding and protection of children and vulnerable adults is of paramount importance within the organisation. Sunderland AFC owes a duty of care to safeguard all children and vulnerable adults involved in activities organised by the football club. The club will ensure that safety and protection is given to all children and vulnerable adults involved in activities through adherence to the safeguarding guidelines adopted by the club. Safeguarding is a collective responsibility that involves everyone associated with the club. From staff and volunteers to players and supporters, each person has a crucial role in creating a safe and welcoming environment. All members of the Sunderland AFC community are encouraged to remain vigilant, follow safeguarding procedures, and report any concerns promptly.

Data Analyst - Business in Sunderland employer: Sunderland Association Football Club

At Sunderland AFC, we pride ourselves on being more than just a football club; we are a vibrant community dedicated to making a positive impact. Our inclusive culture fosters collaboration and respect, while our commitment to employee growth through training and mentorship ensures that every team member can thrive. With benefits like complimentary season tickets, generous annual leave, and a supportive work environment, Sunderland AFC is an exceptional place for passionate individuals to contribute to our mission and enjoy a rewarding career.

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Contact Detail:

Sunderland Association Football Club Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst - Business in Sunderland

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those connected to Sunderland AFC. Attend local events or online meetups to make connections that could lead to job opportunities.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples that demonstrate how your insights have driven business growth or improved decision-making.

Tip Number 3

Prepare for interviews by researching Sunderland AFC and its data initiatives. Be ready to discuss how your experience aligns with their goals and how you can contribute to their mission of empowering the club through data.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Sunderland AFC community.

We think you need these skills to ace Data Analyst - Business in Sunderland

Data Analysis
SQL
Python
R
Business Intelligence
Data Visualisation
Dashboard Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Analyst role at Sunderland AFC. Highlight your experience with data analytics, SQL, and any relevant tools like Tableau or Power BI. We want to see how your skills align with our mission to drive informed decision-making.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data and how it can impact the club's growth. Let us know why you’re excited about this opportunity and how you can contribute to our vibrant community.

Showcase Relevant Experience:When detailing your work history, focus on experiences that relate to the sports, entertainment, or events sectors. If you've worked with CRM or ticketing data, make sure to highlight that. We love seeing how you've made a difference in previous roles!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on being part of Sunderland AFC from the get-go!

How to prepare for a job interview at Sunderland Association Football Club

Know Your Data

Before the interview, brush up on your data analysis skills, especially in SQL and Python or R. Be ready to discuss specific projects where you've used these tools to drive insights, particularly in a sports or consumer-facing context.

Understand the Club's Mission

Familiarise yourself with Sunderland AFC's community initiatives and how they leverage data for business growth. Showing that you understand their mission will demonstrate your genuine interest in the role and the club.

Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems related to fan engagement or revenue optimisation. Think about how you would use data to address these challenges and be prepared to explain your thought process clearly.

Showcase Your Collaboration Skills

Since this role involves working with various teams, be ready to share examples of how you've successfully collaborated with others in past roles. Highlight your ability to communicate complex data insights to non-technical stakeholders.