At a Glance
- Tasks: Coordinate and optimise data activities to drive business impact and innovation.
- Company: Join RX Global, a leader in events and exhibitions with a collaborative culture.
- Benefits: Enjoy flexible hours, wellbeing initiatives, study assistance, and a healthy work/life balance.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make a real difference by improving data management across a global business.
- Qualifications: Strong understanding of data processes and excellent stakeholder management skills.
The predicted salary is between 60750 - 74250 £ per year.
Are you passionate about improving how data is managed, governed, and activated across a global business? Do you enjoy collaborating with diverse stakeholders to deliver high-quality data solutions that drive business impact?
About our Team
RX Global aims to create unforgettable experiences for attendees and exhibitors through organizing events. Innovation, creativity, and collaboration drive the company to offer exceptional services to clients.
About the Role
As a Data Operations Executive, you will play a key role in coordinating, governing, and optimizing data activities across the business. Working closely with business and technical teams, you will ensure data-related requests are delivered with quality, compliance, and efficiency while supporting strategic data initiatives that enable business growth and innovation.
Responsibilities
- Coordinate and oversee operational data requests, ensuring timelines, quality, and compliance are met
- Act as central point of contact for data-related topics across business and technical teams
- Ensure alignment with data protection regulations and internal governance processes
- Identify and resolve data quality and process issues, including root cause analysis
- Drive continuous improvement of data processes and workflows to increase efficiency and scalability
- Support and enable strategic initiatives such as Data Strategy and Data Activation activities
- Conduct impact assessments for changes in data processes or requirements
- Monitor data operations and proactively mitigate risks related to quality, compliance, or delivery
Requirements
- Strong understanding of data processes, governance, and data protection requirements
- Experience in coordinating data-related workflows and operational requests
- Ability to perform root cause and impact analysis on data quality and process issues
- Strong analytical and problem-solving skills in complex, cross-functional environments
- Understanding of data infrastructure and data flow concepts (no deep DBA expertise required)
- Ability to identify process improvements and drive implementation of new approaches
- Strong stakeholder management and communication skills
- Ability and willingness to learn new tools, processes, and technologies
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
RX is a global leader in events and exhibitions, leveraging industry expertise, data, and technology to build businesses for individuals, communities, and organisations. With a presence in 25 countries across 41 industry sectors, RX hosts approximately 350 events annually. RX is committed to creating an inclusive work environment for all our people. RX empowers businesses to thrive by leveraging data-driven insights and digital solutions. RX is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
Data Executive employer: RELX
RELX is an excellent employer that values its employees by fostering a collaborative and inclusive work culture in the vibrant setting of Greater London. With generous holiday allowances, health screening benefits, and opportunities for professional growth, employees are encouraged to develop their skills while contributing to meaningful customer relationships in the SaaS industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Executive
✨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 RELX!
✨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 Data Executive at RELX.
✨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 RELX.
✨Apply Directly through Our Website
When you find a suitable opening like Data Executive at RELX, 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 Data Executive
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 RELX, 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 RELX. 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 RELX
✨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 RELX!
✨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.
