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- Tasks: Lead a data analytics team to drive AI-powered insights and develop innovative solutions.
- Company: Join a fast-growing team 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 dynamic environment while fostering innovation and collaboration.
- Qualifications: Experience in data analytics, strong leadership skills, and expertise in SQL, Python, or R required.
- Other info: Passion for AI and automation is essential; apply now for a confidential chat!
The predicted salary is between 43200 - 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 are looking for a Data Analytics Manager who is passionate about AI, data strategy, and leading high-impact teams.
The Role
We are seeking an exceptional Data Analytics Manager to lead our analytics team, driving AI-powered insights that fuel innovation. You will 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 Will 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 Are 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 would love to hear from you! Apply now and let us have a confidential conversation!
Data Analytics Manager employer: 83zero Limited
Contact Detail:
83zero Limited 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 teams or projects. Highlight how you fostered innovation and collaboration, as these are key qualities for the Data Analytics Manager 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 your experience in data analytics, AI-driven projects, and leadership roles. Use specific examples that demonstrate your ability to manage teams and drive strategic initiatives.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and data strategy. Discuss how your background aligns with the company's mission and how you can contribute to their growth in the analytics space.
Showcase Relevant Skills: Emphasise your technical skills in SQL, Python, or R, and mention any experience with cloud platforms like AWS, GCP, or Azure. Highlight your familiarity with AI/ML techniques and how you've applied them in previous roles.
Demonstrate Stakeholder Management: Provide examples of how you've successfully collaborated with various stakeholders to translate data into actionable insights. This will show your ability to bridge the gap between data, technology, and business strategy.
How to prepare for a job interview at 83zero Limited
✨Showcase Your Leadership Skills
As a Data Analytics Manager, you'll be expected to lead and mentor a team. Be prepared to discuss your previous leadership experiences, how you've built high-performing teams, and the strategies you used to foster a culture of innovation.
✨Demonstrate Technical Proficiency
Make sure to highlight your expertise in SQL, Python, or R during the interview. Be ready to discuss specific projects where you applied these skills, especially in relation to AI-driven analytics and cloud platforms like AWS, GCP, or Azure.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to translate data into actionable insights. Prepare examples of how you've partnered with stakeholders to develop data-driven strategies that enhanced customer experiences or optimised operations.
✨Stay Updated on AI Trends
Show your passion for AI and automation by discussing recent trends or advancements in the field. This will demonstrate your commitment to staying ahead of emerging data trends and your enthusiasm for the role.
