At a Glance
- Tasks: Support CRM and data analysis to enhance fan engagement and commercial performance.
- Company: Join Blackburn Rovers, a dynamic football club with a passion for innovation.
- Benefits: Fully funded Level 4 Data Analyst Apprenticeship and hands-on experience in a professional environment.
- Other info: Flexible working at Ewood Park with opportunities for growth and learning.
- Why this job: Make a real impact on fan experiences while developing valuable data skills.
- Qualifications: A-levels or equivalent; enthusiasm for data analysis and customer insights.
The predicted salary is between 44550 - 54450 £ per year.
Job title
CRM & Insights Apprentice
Department
Marketing
Based at
Ewood Park stadium, Blackburn, BB2 4JF. Flexibility regarding location is required with occasional travel to other registered BRFC sites for the performance of duties.
Reports to
Head of Marketing
Responsible for
N/A
Hours of work
35 hours per week plus any additional hours necessary for the performance of duties.
Contractual status
Permanent
1. Job purpose
To support the development and delivery of Blackburn Rovers’ CRM, data and customer insight activity, helping the Club to better understand its supporters, improve fan engagement and customer experience, and drive commercial performance.
As part of the role, the successful candidate will undertake a fully funded Level 4 Data Analyst Apprenticeship, combining structured learning with practical experience within a professional football environment.
- 2. Duties and responsibilities
- Be committed to ensuring the safeguarding and welfare of all stakeholders promoting their well-being whilst maintaining professional boundaries.
- Support the implementation, maintenance and ongoing optimisation of the Club’s CRM system.
- Support the ongoing development and optimisation of the Club’s CRM system and use data from across ticketing, retail, hospitality, digital and other areas of the business to identify trends, create meaningful insight and support informed decision-making.
- Working closely with colleagues across Marketing, Commercial and other departments, the successful candidate will develop skills in data analysis, reporting and visualisation using tools such as Excel, Power BI, Tableau or similar, helping to turn raw data into accessible dashboards and actionable insight.
- Use CRM and customer data to identify trends, understand supporter behaviour and segment audiences.
- Support the development of targeted CRM campaigns designed to improve engagement, retention and commercial performance.
- Produce regular reporting on key customer, engagement and commercial KPIs.
- Work with colleagues to improve the quality, consistency and usefulness of data collected across the Club.
- Develop an understanding of data protection, security and responsible data use, ensuring activity is undertaken in accordance with relevant Club policies and regulatory requirements.
- Support the development of a data-informed culture by helping colleagues understand and make effective use of customer insight.
- Analyse matchday and Season Ticket sales data to identify trends, gaps and opportunities.
- Support forecasting of ticket demand and identification of relevant supporter segments for ticketing activity.
- Evaluate the performance of ticketing campaigns, offers and pricing initiatives.
- Support segmentation and targeting for ticketing marketing campaigns.
- Help identify opportunities to improve supporter acquisition, attendance and retention.
- Produce reporting on hospitality and premium seating performance.
- Analyse occupancy, customer behaviour and sales trends to identify potential opportunities.
- Support Marketing and Commercial teams with insight for hospitality campaigns, upselling and retention activity.
- Assist with customer segmentation and targeting for hospitality communications.
- Support evaluation of hospitality campaigns and initiatives.
- Analyse retail performance across online and in-store channels.
- Monitor sales trends by product, category, customer segment and time period.
- Support stock and inventory planning through analysis of historic sales and demand.
- Evaluate the performance of product launches, promotions and seasonal campaigns.
- Help identify customer trends and opportunities to improve retail targeting and performance.
- Develop and maintain dashboards and regular reports covering key performance indicators across ticketing, hospitality, retail, CRM and other areas of the business.
- Bring together data from different Club systems to help build a clearer picture of supporter behaviour and commercial performance.
- Work with Marketing and Commercial colleagues to develop understanding of customer segments and supporter lifecycle behaviour.
- Identify trends and patterns within data and, with support, translate these into practical recommendations.
- Present findings clearly and accessibly through reports, dashboards, presentations and visualisations.
- Respond to ad-hoc data and insight requests from colleagues across the Club.
- Develop increasing ownership of reporting and CRM activity as skills and experience grow.
3. Skills required
- Strong numerical and analytical skills with an interest in understanding what data can tell us.
- Good working knowledge of Microsoft Excel and an enthusiasm for developing more advanced analytical skills.
- Ability to communicate information clearly to both technical and non-technical audiences.
- Strong written and verbal communication skills.
- Good organisational skills and the ability to manage multiple priorities.
- Strong attention to detail and commitment to accuracy.
- Curious and inquisitive approach, with an interest in understanding why trends and behaviours occur.
- Willingness to learn new technologies, systems and analytical tools.
- Creative problem-solving skills and willingness to suggest new approaches.
- Collaborative working style and ability to build positive relationships with colleagues across different departments.
- A responsible approach to working with customer and commercially sensitive data.
- Commitment to ongoing learning and professional development.
4. Knowledge required
The successful candidate is not expected to arrive with extensive professional data analysis or CRM experience.
The role is designed to develop these skills through the Level 4 apprenticeship and practical experience within the Club.
It would, however, be advantageous to demonstrate
- An interest in data analysis, CRM, customer behaviour, marketing or commercial insight.
- Experience of working with data through education, employment, personal projects or other relevant activities.
- Familiarity with Excel or similar spreadsheet software.
- An understanding of how data can be used to identify trends and support decision-making.
- An interest in developing skills in data visualisation and reporting tools such as Power BI or Tableau.
- An awareness of the importance of data quality, privacy and responsible use of customer information.
- Experience within football or professional sport is not essential.
- About The Candidate
4. Qualifications Required
- A-levels in a relevant subject or equivalent qualification/experience.
- Minimum of five GCSEs, including English and Maths at grade C/4 or above (or equivalent).
- Willingness and eligibility to undertake and successfully complete a Level 4 Data Analyst Apprenticeship.
- Degree-level education in Computing, Data, Business, Marketing or another relevant discipline would be advantageous but is not essential .
- Valid UK driving licence and ability to travel to other Club sites as required.
DBS check required
- Yes (basic)
- About The Club
- Job vacancies | rovers. co. uk
CRM & Insights Apprentice in Blackburn employer: EFL
Cardiff City Football Club is an exceptional employer that fosters a dynamic and inclusive work environment, dedicated to the long-term development of its staff and players alike. With a strong emphasis on professional growth, employees benefit from access to cutting-edge analysis tools and a collaborative culture that encourages innovation and excellence in performance analysis. Located in the vibrant city of Cardiff, the club offers unique opportunities to engage with a passionate community and contribute to the success of a storied football institution.
StudySmarter Expert Advice🤫
We think this is how you could land CRM & Insights Apprentice in Blackburn
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at EFL.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of EFL and show them you’re genuinely passionate about the field.
We think you need these skills to ace CRM & Insights Apprentice in Blackburn
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at EFL that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at EFL
✨Brush Up on the Basics
Before your interview with EFL, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at EFL. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!