At a Glance
- Tasks: Support data handling and reporting for the WHS, ensuring accuracy and timely delivery.
- Company: The R&A in Scotland, a leading organisation in golf governance.
- Benefits: Competitive salary, opportunities for training, and a collaborative work environment.
- Other info: Exciting opportunity for growth in a dynamic sports environment.
- Why this job: Join a passionate team and contribute to the future of golf through data management.
- Qualifications: Strong attention to detail and experience in data operations or support.
The predicted salary is between 27000 - 33000 £ per year.
The R&A in Scotland seeks a Handicapping Resource Assistant to support the WHS across operations, governance and development.
You will work with National Associations, software vendors and internal teams to ensure accurate data handling and timely delivery of reports and updates.
You will assist with onboarding, training, testing and accreditation activities, and help manage cross-border data exchange while coordinating translation workflows for key handicapping documents.
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Handicapping Data & Operations Support Specialist employer: The R&A
R&A Consultants Ltd is an excellent employer, offering a stable and rewarding environment for Maintenance Engineers in the picturesque setting of West Sussex. With a competitive salary of £43,000 per annum, a Monday to Friday working pattern, and a company vehicle for site travel, employees benefit from a strong work-life balance. The company prioritises professional development, providing excellent training and progression opportunities, ensuring that team members can grow their skills and advance their careers within a supportive and customer-focused culture.
StudySmarter Expert Advice🤫
We think this is how you could land Handicapping Data & Operations Support Specialist
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We think you need these skills to ace Handicapping Data & Operations Support Specialist
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!
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