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- Tasks: Lead the data strategy and oversee analytics to drive business growth.
- Company: Dynamic organisation based in Edinburgh focused on data excellence.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Why this job: Shape the future of data-driven decision-making and foster innovation.
- Qualifications: Proven leadership in data management and analytics with strong communication skills.
- Other info: Join a forward-thinking team and make a significant impact in the industry.
The predicted salary is between 54000 - 84000 £ per year.
Three days per week in Edinburgh. Head Resourcing's Edinburgh-based client are looking to appoint a Head of Data & Analytics. This is a senior leadership position responsible for shaping and executing the organisation's data strategy. This role oversees data governance, analytics, supporting business intelligence and data science functions, ensuring that data-driven insights inform key decisions and drive data improvement for organisational success. The Head of Data & Analytics will champion a culture of data excellence, foster innovation, and ensure compliance with data regulations and best practices.
Key responsibilities
- Develop and implement a comprehensive data strategy.
- Embed robust data governance frameworks to ensure data quality, integrity, and security.
- Oversee the design and delivery of analytics solutions that drive actionable insights and support business growth.
- Promote data literacy across the organisation, enabling teams to make informed, evidence-based decisions.
- Collaborate with stakeholders across business units to understand data needs and deliver tailored analytics solutions.
- Ensure compliance with data protection laws (e.g., GDPR) and best practice standards.
- Evaluate and implement data and analytics technologies, tools, and platforms.
- Work closely with the IT teams and change management to ensure that data is a key actionable focus area for the business to promote change.
- Stay abreast of industry trends, emerging technologies, and regulatory developments.
Required skills, knowledge & experience
- Proven experience in a senior data or analytics leadership role.
- Strong background in data management, governance, analytics, and business intelligence.
- Demonstrable experience of leading and developing high-performing teams.
- Expertise in data architecture, data science, and advanced analytics techniques.
- Excellent stakeholder management and communication skills.
- Strategic thinker with the ability to translate business needs into data solutions.
- In-depth knowledge of data protection regulations and ethical use of data.
- Experience with modern data platforms, cloud solutions, and analytics tools.
Head of Data & Analytics employer: Head Resourcing Ltd
Contact Detail:
Head Resourcing Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & Analytics
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend industry events or webinars, and don’t be shy about introducing yourself to potential employers. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects and successes in data strategy and analytics. This is your chance to demonstrate how you’ve driven data excellence and innovation in previous roles. We want to see your impact!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance and compliance. Be ready to discuss how you would implement robust frameworks and ensure data quality. We’re looking for strategic thinkers who can translate business needs into actionable data solutions!
✨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 and engaged. Let’s get you one step closer to that Head of Data & Analytics role!
We think you need these skills to ace Head of Data & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Data & Analytics. Highlight your experience in data management, governance, and analytics, and don’t forget to showcase any leadership roles you've had. We want to see how you can shape our data strategy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your skills align with our needs. Be sure to mention your experience with data protection regulations and your strategic thinking abilities. We love a good story!
Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your impact. Did you implement a new data governance framework? Did your analytics solutions drive business growth? We want to see the numbers and results that back up your claims!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Head Resourcing Ltd
✨Know Your Data Strategy
Before the interview, make sure you understand the company's current data strategy and how it aligns with their business goals. Be ready to discuss how you would develop and implement a comprehensive data strategy that fits their needs.
✨Showcase Your Leadership Skills
As a senior role, they’ll want to see your leadership style in action. Prepare examples of how you've led high-performing teams in the past, focusing on how you fostered innovation and promoted a culture of data excellence.
✨Understand Data Governance
Brush up on data governance frameworks and be prepared to discuss how you would ensure data quality, integrity, and security. Highlight any experience you have with compliance and data protection laws like GDPR.
✨Engage with Stakeholders
Demonstrate your stakeholder management skills by preparing to discuss how you’ve collaborated with different business units in the past. Think of specific examples where you tailored analytics solutions to meet diverse data needs.
