At a Glance
- Tasks: Join our Revenue Analytics team to drive business growth through data insights.
- Company: Fanatics Betting and Gaming is a leader in the sports betting and gaming industry.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and collaboration.
- Why this job: Be part of an innovative team that shapes the future of sports betting and gaming.
- Qualifications: 3+ years in analytics, strong SQL skills, and experience with data visualisation tools required.
- Other info: Previous experience in betting and gaming is a significant advantage.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Data Analyst II to join our growing Data organization and help set up our newly formed Revenue Analytics team. The role reports into the Analytics Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial stakeholders with high level Sportsbook & Casino strategy will be a top priority for this analyst, as well as providing ongoing analysis and recommendations to stakeholders.
Responsibilities
- Develop a strong understanding of Fanatics Betting and Gaming, as well as related products and operations.
- Build strong relationships with internal stakeholders in the Casino Business and become a key voice in driving commercial performance across Casino.
- Collaboration with other Analysts and Data Scientists to find solutions to business problems.
- Contribute to the development and iterative improvement of the automated promotions strategy for the Casino Business.
- Remain current on technology and trends in data analytics and the sports betting & gaming industry.
Experience and Skills
- A minimum of 3 years proven experience in an analytics role.
- Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science.
- Strong SQL proficiency.
- Experience with data visualization and reporting tools, e.g. Tableau or PowerBI.
- Experience in solving complex commercial problems using advanced data analytics approaches, with a strong understanding of statistics concepts such as multivariate testing and outlier handling.
- Previous experience with a statistical programming language is a plus - e.g. R or Python.
- Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships.
- Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments.
- Logical and analytical approach to problem solving, with strong organizational and communication skills.
- Previous experience in the betting and gaming industry is a significant plus.
Data Analyst II employer: DataAnalystJobs.io
Contact Detail:
DataAnalystJobs.io Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst II
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and the sports betting industry. This knowledge will not only help you understand the business better but also demonstrate your passion and commitment during interviews.
✨Tip Number 2
Network with professionals in the betting and gaming sector. Attend industry events or join relevant online forums to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Prepare to discuss specific examples of how you've used SQL and data visualisation tools like Tableau or PowerBI in past roles. Being able to articulate your experience clearly will set you apart from other candidates.
✨Tip Number 4
Showcase your ability to collaborate with stakeholders by preparing examples of successful partnerships from your previous roles. Highlighting your communication skills and relationship-building abilities will be crucial for this position.
We think you need these skills to ace Data Analyst II
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Data Analyst II position. Familiarise yourself with the key aspects of the role, such as working with stakeholders in the Casino Business and contributing to the automated promotions strategy.
Tailor Your CV: Customise your CV to highlight relevant experience that aligns with the job description. Emphasise your SQL proficiency, experience with data visualisation tools like Tableau or PowerBI, and any previous work in the betting and gaming industry.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical skills and your ability to solve complex commercial problems. Mention specific examples from your past experience that demonstrate your capability to partner with stakeholders and drive business growth.
Highlight Technical Skills: In your application, be sure to mention your technical skills, especially your experience with statistical programming languages like R or Python. Discuss how these skills have helped you in previous roles to provide insights and recommendations based on data analysis.
How to prepare for a job interview at DataAnalystJobs.io
✨Know Your Data Tools
Make sure you're well-versed in SQL and any data visualisation tools like Tableau or PowerBI. Be prepared to discuss your experience with these tools and how you've used them to solve complex problems in previous roles.
✨Understand the Industry
Familiarise yourself with the sports betting and gaming industry, especially Fanatics Betting and Gaming. Being able to speak knowledgeably about current trends and challenges will show your genuine interest and commitment to the role.
✨Build Relationships
Highlight your ability to collaborate with stakeholders. Prepare examples of how you've built strong relationships in past roles and how that has positively impacted your work and the business outcomes.
✨Showcase Problem-Solving Skills
Be ready to discuss specific instances where you've tackled complex commercial problems using advanced analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your logical approach to problem-solving.