At a Glance
- Tasks: Transform complex data into actionable insights for global clients and lead analytics projects.
- Company: Join THE·TEAM, a leader in sports, music, and entertainment analytics.
- Benefits: Enjoy hybrid working, 25 days holiday, private healthcare, and a vibrant office culture.
- Other info: Diverse and inclusive environment with opportunities for continuous learning and growth.
- Why this job: Make a real impact by shaping analytics strategies and mentoring junior analysts.
- Qualifications: Experience in analytics, strong technical skills, and a passion for data-driven decision-making.
The predicted salary is between 50000 - 65000 £ per year.
THE·TEAM operates at the epicenter of sports, music and entertainment, serving talent, brands and properties on a global scale.
Our brands and properties division works with iconic brands and rights holders, supporting business growth through all marketing disciplines.
We're a trusted partner to every major league, team and venue, building meaningful connections between brands, properties and fans.
Headquartered in Los Angeles, THE·TEAM's presence spans 28 countries and more than 70 cities, including New York, London, Abu Dhabi, Amsterdam, Hong Kong, Madrid, Mexico City, Toronto, Paris and Sydney.
- For more information, please visit
- THE. TEAM
The Performance team sits at the intersection of brands, rights holders and technology, using data to help our partners better understand, grow and engage their audiences to achieve commercial outcomes.
As a Senior Data Analyst, you'll transform complex data into clear, actionable insights that support better decision-making for both our clients and our teams.
Working across a global portfolio, you'll lead analytics projects, develop innovative data solutions, and help shape the future of our analytics capability.
This is a hands-on role with significant ownership.
You'll work closely with client teams, contribute to new business opportunities, mentor an analyst, and collaborate with colleagues across the wider business to continuously improve how we use data.
What You'll Do
- Lead analytics for a portfolio of global clients, turning campaign and audience data into clear insights and recommendations that inform strategic decisions.
- Design and develop dashboards, forecasting models and proprietary analytics tools that improve decision-making and create operational efficiencies.
- Support data-led consultancy projects, including audience analysis, digital rights valuation, segmentation and performance measurement.
- Identify opportunities to automate manual processes, improve data quality and enhance the team's use of analytics technologies.
- Contribute to new business opportunities by providing analytical expertise for proposals, scopes of work and client presentations.
- Help shape the Performance team's analytics strategy, data roadmap and future capabilities.
- Mentor and support junior analysts, encouraging knowledge sharing, continuous learning and high-quality delivery.
- Build strong relationships with senior stakeholders, communicating analytical findings in a clear, accessible and commercially relevant way.
What We're Looking For
We're looking for someone who enjoys solving problems with data and is passionate about turning analysis into meaningful business outcomes.
You'll likely bring
- Experience delivering analytics solutions in a commercial environment such as an agency, media, sport, entertainment or another data-rich industry.
- Strong analytical and technical skills, including experience working with large datasets, developing dashboards and building predictive or forecasting models.
- Experience improving reporting processes through automation and efficient data workflows.
- Confidence working with customer and audience data, including segmentation, measurement and performance analysis.
- The ability to communicate complex information clearly to both technical and non-technical audiences.
- Experience collaborating with clients and internal stakeholders to translate business questions into analytical solutions.
- Experience supporting or mentoring colleagues and contributing to the development of an analytics function.
- Curiosity, commercial awareness and a continuous improvement mindset.
Every great sports team, band or squad is made stronger by people who bring different experiences, perspectives and strengths.
Research suggests that women and people from underrepresented backgrounds are less likely to apply for a role unless they meet every requirement.
We don't expect you to tick every box, so if you're excited by the opportunity, believe you can make a difference and are ready to learn and grow with us, we'd love to hear from you.
What We Offer
- Hybrid working pattern of 3 days a week from our Aldwych House office
- 25 days holiday plus bank holidays
- Private healthcare, Gymflex, enhanced parental leave & cycle to work scheme benefits amongst many others
- Excellent office environment; we're dog friendly, offer company and departmental social events and breakfast, drinks and snacks in the office
THE·TEAM does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Senior Data Analyst employer: Wasserman
Wasserman in Orpington is an excellent employer for those passionate about sustainability, offering a dynamic work culture that fosters innovation and collaboration. As a Sustainability Data & Projects Intern, you'll gain invaluable hands-on experience while contributing to meaningful projects that drive environmental change. With a commitment to employee growth and development, Wasserman provides opportunities for recent graduates to enhance their skills in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wasserman!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst at Wasserman.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wasserman.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Wasserman, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wasserman, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wasserman. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wasserman
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wasserman!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
