At a Glance
- Tasks: Analyse productivity data and resolve operational issues across multiple sites.
- Company: Join a dynamic team focused on efficiency and collaboration.
- Benefits: Competitive pay, flexible hours, and opportunities for personal growth.
- Other info: Fast-paced environment with plenty of room for career advancement.
- Why this job: Be the backbone of operations and make a real difference every day.
- Qualifications: Strong analytical skills and excellent communication abilities.
The predicted salary is between 30000 - 40000 £ per year.
Responsibilities:
- Produce and analyse productivity data for the Tradeteam network on a daily and weekly basis.
- Monitor compliance of internal bespoke systems for up to 15 sites.
- Resolve face-to-face problems with the operational team.
- Deal with system and equipment queries.
- Exhibit strong interpersonal skills.
- Communicate between depots via phone, teams, and email.
- Engage and contribute at all levels of operational hierarchy.
- Perform administrative tasks required for operation.
- Manage time and self-motivation to meet operational deadlines.
Operations Data & Admin Specialist employer: Career Choices Dewis Gyrfa Ltd
As an Operations Data & Admin Specialist at Tradeteam, you will thrive in a dynamic work environment that values collaboration and innovation. Our commitment to employee growth is reflected in our comprehensive training programmes and opportunities for advancement within the company. With a strong focus on work-life balance and a supportive team culture, we ensure that every team member feels valued and empowered to contribute meaningfully to our operations across multiple sites.
Contact Details:
Career Choices Dewis Gyrfa Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Operations Data & Admin Specialist
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We think you need these skills to ace Operations Data & Admin 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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✨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.
