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- Tasks: Transform complex data into actionable insights for world-class venues and events.
- Company: PMY, a global leader in technology and data solutions.
- Benefits: Competitive pay, flexible hours, remote options, and professional development.
- Why this job: Make a real impact on live experiences for millions with your analytical skills.
- Qualifications: Strong analytical mindset, SQL experience, and a degree in analytics or related fields.
- Other info: Join a passionate team and enjoy diverse projects with excellent career growth.
The predicted salary is between 28800 - 48000 £ per year.
PMY is a full-service provider of technology, data, and creative solutions for the live environment. With a growing global footprint across APAC, the USA, and EMEA, we are committed to delivering tailored, impactful solutions across sectors such as Sports & Entertainment, Stadiums & Arenas, Education, Public Sector & Infrastructure, and Retail. We combine a global perspective with decades of experience, and deep local insight in key markets. At PMY, our goal is to deliver cutting-edge strategy, design, and operational services across the full technology ecosystem — powered by proprietary and bespoke intelligence solutions and activated by a passionate and experienced team.
Position Overview
Join PMY’s Intelligence team and help transform complex data into actionable insights for world-class venues and events. You’ll work across diverse datasets such as fan behavior, commercial performance, and crowd intelligence, to deliver dashboards, models, and clear data stories that influence decisions. Expect variety: KPI development, reporting frameworks, and OPTIC-based crowd intelligence at major events. Occasional travel may be required.
Key Responsibilities
- Lead analytics and reporting across sports, entertainment, and venue environments.
- Build dashboards, define KPIs, and present data stories that drive decisions.
- Collaborate with Data Architects and Engineers on integrations and frameworks.
- Support OPTIC deployments by linking sensor-driven insights to commercial outcomes.
What You Bring?
- Strong analytical mindset and problem-solving skills.
- Ability to communicate insights clearly and persuasively.
- Hands-on experience with SQL, relational databases, and BI tools.
- Comfortable with large datasets, APIs, or sensor-derived data.
- Experience in commercial analytics, performance analysis, or similar applied environments.
- Degree or equivalent experience in analytics, data, statistics, or related fields.
Why PMY?
- Growth: Scale your career with diverse projects and continuous learning.
- Flexibility: Enjoy work-life balance with flexible hours and remote options.
- Impact: Your work transforms live experiences for millions.
- Culture: Join a passionate, innovative team.
- Benefits: Competitive pay, team events, and professional development.
We strive to build a team that reflects the diversity of the communities we work in. We welcome and encourage applications from traditionally underrepresented groups in the technology industry, including women, older people, people with a disability and ethnic minorities.
Data Analyst employer: PMY Group
Contact Detail:
PMY Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples that demonstrate your ability to turn complex data into actionable insights, just like PMY does.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Be ready to discuss your experience with SQL, BI tools, and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the PMY team and making an impact in the live environment.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with SQL, BI tools, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your skills align with our mission at PMY. Be sure to mention any experience with crowd intelligence or commercial analytics.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can turn data into actionable insights, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our innovative team at PMY!
How to prepare for a job interview at PMY Group
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis. Be ready to discuss specific projects where you transformed complex datasets into actionable insights. Highlight your hands-on experience with SQL and BI tools, as these are crucial for the role.
✨Craft Your Data Stories
Prepare to present a couple of compelling data stories that showcase your ability to communicate insights clearly. Think about how you can illustrate the impact of your work on decision-making processes, especially in sports or entertainment contexts.
✨Familiarise Yourself with PMY's Work
Research PMY’s projects and their approach to analytics in live environments. Understanding their focus on fan behaviour and commercial performance will help you tailor your responses and demonstrate your genuine interest in their mission.
✨Showcase Your Collaborative Spirit
Since the role involves working closely with Data Architects and Engineers, be prepared to discuss your collaborative experiences. Share examples of how you've successfully worked in teams to develop dashboards or reporting frameworks, emphasising your ability to link insights to commercial outcomes.