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For Companies At a Glance
- Tasks: Lead a dynamic analytics team to drive AI-powered insights and innovative solutions.
- Company: Join a fast-growing company revolutionising AI-driven analytics across various industries.
- Benefits: Enjoy competitive salary, equity options, and flexible hybrid working arrangements.
- Why this job: Shape the future of analytics in a high-growth environment with a culture of curiosity and innovation.
- Qualifications: Experience in data analytics, strong leadership skills, and expertise in SQL, Python, or R required.
- Other info: Excited candidates are encouraged to apply for a confidential conversation!
The predicted salary is between 48000 - 72000 £ per year.
Location: Hybrid (UK)
Salary: Competitive + Equity + Benefits
Join a dynamic and rapidly growing team on a mission to revolutionise AI-driven analytics. They harness cutting-edge machine learning and data science to unlock insights that shape the future of Utilities, Telco, Insurance and Fintech. As they scale, we're looking for a Data Analytics Manager who is passionate about AI, data strategy, and leading high-impact teams.
The Role
We're seeking an exceptional Data Analytics Manager to lead our analytics team, driving AI-powered insights that fuel innovation. You'll collaborate with engineers, data scientists, and product teams to develop intelligent, data-driven solutions. This is an exciting opportunity to shape a forward-thinking analytics function in a high-growth environment.
What You'll Do
- Lead & Scale - Build and mentor a high-performing data analytics team, fostering a culture of curiosity and innovation.
- AI-Driven Insights - Leverage machine learning and AI to uncover deep insights, driving smarter decision-making.
- Strategic Impact - Develop data-driven strategies to enhance customer experiences, optimise operations, and fuel growth.
- Data-Driven Decision Making - Partner with stakeholders across the business to translate data into actionable insights.
- Tech & Tools - Work with modern analytics tools, cloud platforms, and AI-driven methodologies to deliver scalable solutions.
- Automation & Efficiency - Design automated reporting and dashboards to streamline data accessibility and impact.
What We're Looking For
- Proven experience in data analytics, business intelligence, or AI-driven analytics, ideally in fintech or a high-growth environment.
- Strong leadership skills, with a track record of managing and mentoring data teams.
- Deep expertise in SQL, Python, or R, plus experience with cloud-based data platforms (AWS, GCP, or Azure).
- Familiarity with AI/ML techniques and their practical applications in analytics.
- Strong stakeholder management, able to bridge the gap between data, tech, and business strategy.
- Passion for AI, automation, and staying ahead of emerging data trends.
Excited? We'd love to hear from you! Apply now and let's have a confidential conversation!
Data Analytics Manager employer: 714188
Contact Detail:
714188 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to data analytics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the fintech and data analytics sectors. Attend industry events or webinars to connect with potential colleagues and learn about the challenges they face, which can give you insights to discuss during your interview.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of specific examples where you've successfully managed a team or project. Highlight how you fostered innovation and collaboration, as these are key aspects of the role.
✨Tip Number 4
Brush up on your technical skills, particularly in SQL, Python, or R, and be ready to discuss how you've applied these in real-world scenarios. Being able to demonstrate your technical expertise will set you apart from other candidates.
We think you need these skills to ace Data Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, AI, and leadership. Use specific examples that demonstrate your ability to manage teams and drive data-driven strategies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data analytics. Explain why you are excited about the role and how your background aligns with the company's mission to revolutionise AI-driven analytics.
Highlight Technical Skills: Clearly list your technical skills, especially in SQL, Python, or R, and mention any experience with cloud platforms like AWS, GCP, or Azure. This will show that you have the necessary expertise for the role.
Showcase Leadership Experience: Include examples of how you've built and mentored teams in the past. Highlight any initiatives you've led that resulted in improved analytics processes or outcomes, as this is crucial for the Data Analytics Manager position.
How to prepare for a job interview at 714188
✨Showcase Your Leadership Skills
As a Data Analytics Manager, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've successfully built high-performing teams in the past, focusing on fostering a culture of curiosity and innovation.
✨Highlight Your Technical Expertise
Make sure to discuss your proficiency in SQL, Python, or R, as well as your experience with cloud platforms like AWS, GCP, or Azure. Be ready to explain how you've applied these skills in real-world scenarios, particularly in AI-driven analytics.
✨Prepare for Stakeholder Management Questions
Expect questions about how you bridge the gap between data, technology, and business strategy. Have specific examples ready that illustrate your ability to translate complex data insights into actionable strategies for stakeholders.
✨Demonstrate Your Passion for AI and Innovation
The role requires a genuine enthusiasm for AI and emerging data trends. Share your thoughts on the future of AI in analytics and any personal projects or continuous learning efforts that showcase your commitment to staying ahead in the field.
