At a Glance
- Tasks: Develop customer analytics models and create impactful dashboards.
- Company: Join a leading sports organisation investing in data and analytics.
- Benefits: Competitive salary and the chance to influence customer engagement.
- Other info: Opportunity for career growth in a forward-thinking environment.
- Why this job: Shape a data-driven culture and work on high-impact projects.
- Qualifications: Experience in Data Science, strong Python and SQL skills required.
The predicted salary is between 47000 - 47000 £ per year.
We are currently recruiting for a Data Analytics Manager to join a leading sports organisation as they continue to invest in their data and analytics capabilities. This is an exciting opportunity to play a key role in shaping how customer data is used to drive engagement, commercial growth and strategic decision-making.
What you'll be doing:
- Developing customer analytics models including segmentation, propensity modelling and customer lifetime value (CLV)
- Building and maintaining analytics solutions using Python, SQL and AWS technologies
- Creating Tableau dashboards and delivering actionable insights to senior stakeholders
- Partnering with Marketing, Commercial and Digital teams to support customer engagement, campaign effectiveness and personalisation initiatives
- Presenting complex analytical findings in a clear and compelling way to both technical and non-technical audiences
What they're looking for:
- Experience within Data Science, Customer Analytics or Advanced Analytics roles
- Strong Python and SQL skills, with experience building predictive or customer-focused analytical models
- Knowledge of AWS analytics tools and Tableau or similar BI platforms
- Experience working with CRM, marketing or customer data in a commercial environment
- Excellent communication and stakeholder management skills
Why apply?
- Join a nationally recognised sporting organisation with a major investment in data and analytics
- Work on high-impact projects influencing customer engagement and commercial performance
- Combine hands-on analytics with business-facing stakeholder engagement
- Opportunity to shape a data-driven culture within a forward-thinking organisation
Data Analytics Manager (Ref: 1964717) in London employer: Forsyth Barnes
Join a nationally recognised sports organisation that prioritises innovation and investment in data analytics, offering a dynamic work culture where your contributions directly influence customer engagement and commercial success. With a focus on employee growth, you will have the opportunity to develop your skills in a collaborative environment, working alongside passionate professionals who are committed to shaping a data-driven culture. This role not only provides competitive remuneration but also the chance to engage in high-impact projects that drive strategic decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Manager (Ref: 1964717) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and Tableau. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analytics questions. Be ready to discuss your experience with customer analytics models and how you've used data to drive business decisions. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analytics Manager (Ref: 1964717) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Analytics Manager role. Highlight your Python, SQL, and AWS expertise, and don’t forget to mention any relevant projects or achievements that showcase your analytical prowess.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to the team. Be sure to mention your experience with customer data and how it aligns with the organisation's goals.
Showcase Your Communication Skills:Since you'll be presenting complex findings to various stakeholders, it's crucial to demonstrate your communication skills in your application. Use clear and concise language, and consider including examples of how you've effectively communicated insights in the past.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of success. This way, your application will go straight to the right people, and you’ll be one step closer to joining our exciting team!
How to prepare for a job interview at Forsyth Barnes
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of customer analytics models, especially segmentation and CLV. Be ready to discuss how you've used Python and SQL in past projects, as well as any experience with AWS tools. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Dashboard Skills
Prepare to talk about your experience with Tableau or similar BI platforms. Bring examples of dashboards you've created and be ready to explain how they provided actionable insights. This will demonstrate your ability to communicate complex data in a way that's easy for stakeholders to understand.
✨Engage with Stakeholders
Since this role involves partnering with various teams, think of examples where you've successfully collaborated with marketing or commercial teams. Highlight your communication skills and how you've tailored your findings to meet the needs of both technical and non-technical audiences.
✨Prepare for Scenario Questions
Expect questions that ask how you'd handle specific situations, like presenting analytical findings to a senior stakeholder. Practice articulating your thought process clearly and confidently. This will help you convey your strategic thinking and problem-solving abilities during the interview.
