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For Companies At a Glance
- Tasks: Lead data strategy and enhance analytics capabilities in a dynamic role.
- Company: Join a fast-growing global company leveraging data for strategic decisions.
- Benefits: Enjoy a competitive salary, hybrid work options, and a collaborative environment.
- Why this job: Make a real impact while working with cutting-edge technologies and a talented team.
- Qualifications: Proven senior data leadership experience and expertise in modern data technologies required.
- Other info: Work from various UK sites or across Europe three days a week.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing, innovative and global company that leverages data to drive strategic decision-making, are looking for a dynamic and experienced Head of Data & Analytics. The Head of Data & Analytics will lead their data function, optimize their data strategy, and enhance their analytics capabilities. This is a fantastic opportunity to shape the future of data and drive real business impact. This is a hybrid role, you will be expected to work from one of their sites 3 days a week, this could be in the UK or across their various sites across Europe. Sites across the UK are in the North West, Midlands, Yorkshire and Cambridgeshire.
The Role
- Develop and implement a data strategy that supports business goals.
- Lead, mentor, and grow a team of data professionals, including a Data Architect and a BI Analyst/Report Builder.
- Oversee data architecture, governance, and analytics to enhance business performance.
- Ensure compliance with data regulations and security best practices.
- Collaborate with key stakeholders to drive data-driven decision-making.
- Implement quality control processes to ensure accuracy and reliability of data deliverables.
- Drive innovation by leveraging emerging technologies to improve efficiency and insights.
What We're Looking For
- Proven experience in a senior data leadership role.
- Strong knowledge of data architecture, analytics, and governance.
- Expertise in modern data technologies and cloud platforms.
- Experience with Microsoft SQL Server, Python, Fabric, and Azure Services.
- Excellent stakeholder management and leadership skills.
- Ability to thrive in a fast-paced, high-growth environment.
- Strong problem-solving skills with a strategic mindset.
Why Join?
- Opportunity to make a significant impact in a high-growth, global company.
- Work with cutting-edge technologies and drive data innovation.
- Lead and shape a talented data team.
- Competitive salary and benefits package.
- A collaborative and dynamic working environment.
If you are passionate about data and leadership and want to play a key role in shaping their data strategy, we'd love to hear from you!
Head of Data & Analytics employer: Exalto Consulting
Contact Detail:
Exalto Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & Analytics
✨Tip Number 1
Network with professionals in the data and analytics field. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders in the sector. This can help you gain insights into the latest trends and possibly get referrals.
✨Tip Number 2
Showcase your leadership skills by sharing examples of how you've successfully led data teams or projects in the past. Prepare specific anecdotes that highlight your ability to mentor others and drive innovation within a team.
✨Tip Number 3
Familiarise yourself with the company's current data strategy and technologies they use. Research their recent projects or initiatives to understand their goals and challenges, which will allow you to tailor your discussions during interviews.
✨Tip Number 4
Demonstrate your strategic thinking by preparing a brief outline of a potential data strategy that aligns with the company's objectives. This proactive approach can set you apart and show your commitment to making an impact from day one.
We think you need these skills to ace Head of Data & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data leadership roles, particularly focusing on your knowledge of data architecture, analytics, and governance. Use specific examples that demonstrate your expertise in modern data technologies and cloud platforms.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and leadership. Discuss how your background aligns with the responsibilities of the Head of Data & Analytics role and how you can contribute to the company's data strategy and innovation.
Showcase Relevant Skills: Emphasise your proficiency in tools and technologies mentioned in the job description, such as Microsoft SQL Server, Python, Fabric, and Azure Services. Provide examples of how you've used these skills to drive business performance in previous roles.
Highlight Leadership Experience: Since this role involves leading a team, make sure to highlight your leadership experience. Discuss how you've mentored and grown teams in the past, and provide examples of successful projects that resulted from your leadership.
How to prepare for a job interview at Exalto Consulting
✨Showcase Your Leadership Skills
As a Head of Data & Analytics, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, focusing on your leadership style and how you foster collaboration and innovation.
✨Highlight Your Technical Expertise
Make sure to discuss your experience with modern data technologies and cloud platforms, especially Microsoft SQL Server, Python, Fabric, and Azure Services. Be ready to explain how you've used these tools to drive data excellence and improve business performance.
✨Prepare for Strategic Discussions
Expect questions about developing and executing data strategies that align with business objectives. Think about specific instances where you've implemented successful data strategies and be prepared to discuss the outcomes and lessons learned.
✨Demonstrate Stakeholder Management
Since collaboration with key stakeholders is crucial, prepare to share experiences where you've effectively communicated complex data insights to non-technical audiences. Highlight your approach to ensuring that data-driven decision-making is embraced across the organisation.
