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- Tasks: Lead and innovate in Data Engineering and Analytics to drive growth.
- Company: A top analytics consultancy with a focus on data transformation.
- Benefits: Competitive salary, leadership opportunities, and impactful client projects.
- Why this job: Shape the future of data strategy and make a real difference.
- Qualifications: 15+ years in IT, 5+ years in data strategy, strong leadership skills.
- Other info: Join a dynamic team and elevate your career in a thriving industry.
The predicted salary is between 54000 - 84000 £ per year.
A leading analytics consultancy is seeking a dynamic leader to drive growth in Data Engineering and Analytics. This role combines strategic leadership with technical expertise, focusing on building market differentiators. You will establish and scale the Data Engineering practice, driving innovative capabilities and contributing to high-impact client engagements.
The ideal candidate has over 15 years of IT experience, with at least 5 years in data strategy. Strong leadership, communication, and stakeholder management skills are essential for success in this role.
Global Data Transformation CoE Leader in London employer: Olenick
Contact Detail:
Olenick Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Data Transformation CoE Leader in London
✨Tip Number 1
Network like a pro! Reach out to industry contacts and attend relevant events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or case studies that highlight your achievements in data strategy and engineering. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data transformation. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨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 about their job search!
We think you need these skills to ace Global Data Transformation CoE Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Global Data Transformation CoE Leader role. Highlight your leadership experience and any relevant data strategy projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your vision for driving growth in Data Engineering and Analytics, and how your past experiences have prepared you for this challenge.
Showcase Your Technical Expertise: Don’t shy away from detailing your technical skills in data engineering and analytics. We want to see how your expertise can help us build market differentiators and drive innovative capabilities.
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 this exciting opportunity!
How to prepare for a job interview at Olenick
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data engineering and analytics. Brush up on your technical skills and be ready to discuss how you've applied them in previous roles, especially in driving growth and innovation.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience, particularly in managing teams and driving strategic initiatives. Be ready to discuss how you’ve successfully led projects and engaged stakeholders to achieve high-impact results.
✨Understand the Company’s Vision
Research the consultancy’s mission and recent projects. Tailor your responses to show how your experience aligns with their goals, especially in building market differentiators and scaling data practices.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of specific challenges you’ve faced in data strategy and how you overcame them, demonstrating your analytical thinking and decision-making skills.
