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- Tasks: Lead data engineering and AI projects while mentoring a dynamic team.
- Company: Top iGaming development studio focused on quality and innovation.
- Benefits: Hybrid work model, supportive environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of data in gaming.
- Qualifications: PhD in a related field and experience managing data engineering teams.
- Other info: Collaborative culture that values creativity and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A leading iGaming development studio is seeking an experienced Analytics Manager to spearhead data engineering and AI initiatives. This hybrid role involves designing data platforms and machine learning solutions while mentoring a team in a collaborative environment.
Ideal candidates will possess:
- A PhD in a related field
- Strong experience in managing data engineering teams
- Expertise in Power BI
The company values quality and innovation and offers a supportive environment for growth.
Analytics Manager: Data Engineering & AI Lead in London employer: Push Gaming
Contact Detail:
Push Gaming Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager: Data Engineering & AI Lead in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the iGaming and analytics space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research the company’s recent projects and innovations in data engineering and AI. Be ready to discuss how your experience aligns with their goals and how you can contribute to their success.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your previous work in data platforms and machine learning solutions. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Analytics Manager: Data Engineering & AI Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about analytics and how you can contribute to our innovative environment. We love seeing candidates who are excited about the work we do.
Showcase Your Leadership Skills: Since this role involves mentoring a team, make sure to highlight your leadership experience. We’re looking for someone who can inspire and guide others, so share examples of how you’ve done this in the past.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Push Gaming
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data engineering and AI. Brush up on your knowledge of Power BI and be ready to discuss how you've used it in past projects. This will show that you’re not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, prepare examples of how you've successfully led teams in the past. Think about specific challenges you faced and how you helped your team overcome them. This will demonstrate your ability to foster collaboration and innovation.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your data platform design and machine learning solutions. Be ready to explain your thought process and decision-making in previous projects, as this will highlight your analytical skills.
✨Align with Company Values
Research the company’s values around quality and innovation. Be prepared to discuss how your personal values align with theirs and how you can contribute to their supportive environment for growth. This will show that you’re not just a fit for the role, but also for the company culture.
