At a Glance
- Tasks: Manage event data, build registration forms, and analyse attendance metrics.
- Company: Join Google Events & Experiences, a leader in innovative event management.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a chance to work under pressure.
- Why this job: Be part of exciting events and make a real impact with your data skills.
- Qualifications: Experience in event registration and strong data analysis skills required.
The predicted salary is between 30000 - 40000 £ per year.
Our client Google Events & Experiences are looking for Contractors on an ad-hoc basis. This role is responsible for maintaining data integrity across the full event lifecycle, delivering registration processes, and providing hands-on support onsite.
The ideal candidate possesses excellent technical data manipulation skills alongside practical event registration and logistics experience.
- Data Integrity: Take full ownership of data cleanliness, deduplication, and quality control across all event data.
- Noms / Aud dev analysis: Provide data insights and analysis to build out audience development. Analyze event attendance data against specific business priority lists - by individual and company. Build nominations process with Executive Engagement team - ensuring data is dynamic and easy to gain stakeholder approvals.
- Registration websites: Build, test, and launch complex registration forms and logic flows using internal registration software.
- Communications QA: Build and test event emails - using CSS, HTML, dynamic fields, conditional logic and darkmode reviews to ensure delivery across all email clients.
- Data management: Manage and maintain registration data for all event phases, including initial invitations, targeted follow-ups, detailed logistics chases, KBYG comms and post-event surveys.
- Advanced Data Management: Maintain and optimize advanced Google Sheets models ensuring dynamic data flow and 'always-on' reporting accuracy. Build and manage automated tracking dashboards (using tools like Looker Studio/Data Studio) to provide stakeholders with clear visibility into registration metrics. Translate complex data sets into clear, executive-ready summary reports and briefs for senior leadership.
- Capacity analysis: Provide analysis to support capacity management decisions for event numbers, rooming, activities and masterclasses.
- Onsite Delivery: Develop processes and provide operational data as needed onsite. Act as a key member of the onsite execution team, troubleshooting data flows under pressure.
- Post-Event: Conduct comprehensive post-event data debriefs to identify trends, measure engagement, and deliver actionable insights for future event strategies.
Event registration experience in a similar event registration & logistics role. Data manipulation and analysis experience. Experience with or interest in building agentic workflows and automated processes / AI obsessed. Effective management, problem-solving and structuring skills, with the ability to handle multiple projects simultaneously and work effectively with a range of cross-functional teams. Exceptionally detail-oriented and organized, ensuring quality and consistent output, ensuring accurate information for internal and external stakeholders. Must be willing to travel for site inspections and events and work long flexible hours.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Event Management
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Analyst in Event Management
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Analyst in Event Management at YunoJuno, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at YunoJuno.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at YunoJuno
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
