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- Tasks: Enhance operational efficiency and support AI initiatives through in-depth analyses.
- Company: Leading sports tech company in the UK with a focus on diversity and inclusion.
- Benefits: Flexible working environment and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the exciting world of sports tech.
- Qualifications: Relevant degree and 2 years of experience in operations analysis.
- Other info: Strong analytical skills and proficiency in Excel/Google Sheets required.
The predicted salary is between 28800 - 48000 £ per year.
A leading sports tech company in the UK is seeking an Operations Analyst to enhance operational efficiency and support AI initiatives. This role involves conducting in-depth analyses, collaborating with various teams, and developing automated reporting frameworks.
Candidates should possess a relevant degree and at least 2 years of experience in a similar field. Strong analytical skills and proficiency in Excel/Google Sheets are essential, with familiarity in SQL and data visualization tools being a plus.
The company offers a flexible working environment, emphasizing diversity and inclusion.
AI-Driven Business Analyst — Data & Ops employer: Stats Perform
Contact Detail:
Stats Perform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Business Analyst — Data & Ops
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your analytical prowess and any projects you've worked on. This is your chance to shine beyond just your CV.
✨Tip Number 3
Ace the interview by practising common questions related to data analysis and operations. We recommend using the STAR method to structure your answers—it's all about showcasing your experience effectively!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace AI-Driven Business Analyst — Data & Ops
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience and skills that match the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing your analytical prowess and any experience with AI initiatives!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about the role and how you can contribute to enhancing operational efficiency. We love seeing candidates who can connect their experiences to our mission.
Showcase Your Skills: Don’t forget to highlight your proficiency in Excel/Google Sheets and any experience with SQL or data visualisation tools. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Stats Perform
✨Know Your Data
Make sure you brush up on your analytical skills before the interview. Be prepared to discuss your experience with data analysis, especially using Excel or Google Sheets. Have examples ready that showcase how you've used these tools to drive operational efficiency.
✨Familiarise Yourself with AI Initiatives
Since this role involves supporting AI initiatives, do some research on how AI is being used in the sports tech industry. Being able to discuss relevant trends or case studies will show your enthusiasm and understanding of the field.
✨Collaboration is Key
This position requires working with various teams, so be ready to talk about your teamwork experiences. Think of specific instances where you collaborated effectively to achieve a goal, and highlight your communication skills.
✨Prepare Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful queries about the company's approach to diversity and inclusion or their future AI projects. This shows your genuine interest in the company and the role.
