At a Glance
- Tasks: Transform complex data into actionable insights that drive strategic decisions across various teams.
- Company: Join Hyve, a leader in the events industry with a focus on audience intelligence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work with rich datasets and collaborate with senior stakeholders in a dynamic environment.
- Why this job: Make a real impact by shaping commercial strategies and enhancing customer experiences through data.
- Qualifications: Experience in data analysis, business intelligence, and strong communication skills required.
The predicted salary is between 40000 - 50000 £ per year.
- Put your data science role in front of the right audience — Post your job
- Organisation Hyve
- Organisation Hyve Locations
- London, UK
- Application Deadline 27 days remaining
This is far more than a reporting role.
You'll transform complex attendee, buyer, registration and CRM data into meaningful business intelligence that influences strategic decisions across Sales, Marketing, Operations and Attendee Experience.
Working closely with senior stakeholders, you'll uncover trends, identify opportunities and challenge assumptions and deliver insights that help shape commercial strategy, improve audience engagement and support continued event growth.
You’ll own the reporting environment for audience intelligence, ensuring our teams have accurate, actionable data that drives smarter decisions.
From executive dashboards and commercial reporting to audience segmentation and meetings program optimization, your work will directly influence how we engage our customers and grow our events.
If you're passionate about solving business problems through data, enjoy partnering with stakeholders across an organization, and love turning complex datasets into compelling stories that drive action, we'd love to hear from you.
This position reports directly to the SVP of Attendee Experience and works closely with the Retailer & Brands, Operations, Sales and Marketing teams.
As part of the role, you will
- Own audience reporting and business intelligence across Hyve's retail event portfolio, ensuring data accuracy, integrity and accessibility.
- Develop and maintain dashboards, reports and visualizations that provide meaningful insights for executive leadership and cross-functional teams.
- Analyze attendee, buyer, registration and engagement data to identify trends, opportunities and risks that support commercial decision-making.
- Translate complex datasets into clear, actionable recommendations that improve audience acquisition, engagement and event performance.
- Partner closely with Sales, Marketing, Operations and Attendee Experience teams to understand business challenges and deliver data-driven solutions.
- Design audience segmentation strategies and targeted reporting to support marketing campaigns, buyer recruitment and customer engagement initiatives.
- Support the delivery and optimization of our hosted meetings program by analyzing audience data and recommending improvements.
- Build and automate reporting processes wherever possible, improving efficiency and reducing manual reporting.
- Ensure the quality, governance and consistency of audience data across CRM platforms and reporting tools.
- Present findings and recommendations to stakeholders through clear reports, dashboards and executive-ready presentations.
- Continuously identify opportunities to improve reporting, automation and business intelligence capabilities across the organization.
And here's what we're looking for from you
- Business Intelligence & Analytics
- Significant experience in a Senior Data Analyst, Business Intelligence or Analytics role.
- Demonstrated ability to transform complex datasets into meaningful business insights and strategic recommendations.
- Experience building executive dashboards using Power BI, Tableau or similar business intelligence platforms.
- Experience working with large datasets, identifying trends and communicating findings to non-technical stakeholders.
- Technical Skills
- Advanced Excel skills, including Pivot Tables, Power Query, XLOOKUP/VLOOKUP, complex formulas and data modelling.
- Strong experience with CRM platforms such as Hub Spot, Salesforce, Microsoft Dynamics or similar.
- Experience creating automated reports, dashboards and scalable reporting solutions.
- Experience working with data visualization and reporting tools.
- SQL experience would be highly advantageous.
- Experience with modern data warehouse technologies (such as Snowflake) would be beneficial.
- Commercial Mindset
- Ability to think beyond reporting by identifying commercial opportunities, testing business assumptions and providing strategic recommendations.
- Comfortable working across Sales, Marketing, Operations and Customer teams to solve business problems using data.
- A proactive mindset with the confidence to challenge existing processes and recommend better ways of working.
- Communication & Stakeholder Management
- Exceptional communication and presentation skills with the ability to explain complex analytical findings to stakeholders at all levels of the business.
- Comfortable building executive-ready reports and presentations that clearly communicate insights and recommended actions.
- Strong stakeholder management skills with the ability to build trusted relationships across multiple departments.
- Project Management
- Excellent organizational skills with the ability to manage multiple priorities and deadlines in a fast-paced, collaborative environment.
- Highly detail-oriented with a commitment to data quality, accuracy and continuous improvement.
- Why this role is different
You’ll have the opportunity to work with one of the industry's richest audience datasets, helping shape the future of some of the world's largest retail events.
Your insights won’t simply measure performance—they’ll influence commercial strategy, improve customer experiences and help drive the continued growth of Hyve's market-leading brands.
We’re not looking for someone who simply reports what happened.
We’re looking for someone who can explain why it happened, identify what comes next, and help the business make smarter decisions through data.
- The National Institute of Teaching (NIo T)
- Hybrid - Birmingham, Bristol, London, Blackburn, Redcar or Doncaster
- Department for Environment, Food and Rural Affairs
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Senior Data Analyst – Business Intelligence employer: HYVE
Hyve is an exceptional employer that values innovation and collaboration, offering a dynamic work culture where data-driven insights directly shape the future of major retail events. Located in London, employees benefit from access to one of the industry's richest datasets, alongside opportunities for professional growth and development through close partnerships with senior stakeholders across various departments. With a commitment to fostering a proactive mindset and encouraging continuous improvement, Hyve empowers its team members to challenge the status quo and drive meaningful change.
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We think this is how you could land Senior Data Analyst – Business Intelligence
✨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 HYVE!
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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 HYVE.
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We think you need these skills to ace Senior Data Analyst – Business Intelligence
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 HYVE, 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 HYVE. 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 HYVE
✨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 HYVE!
✨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.
