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- Tasks: Lead the data strategy and oversee analytics solutions for business growth.
- Company: Dynamic organisation based in Edinburgh focused on data excellence.
- Benefits: Flexible working, competitive salary, 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 strong communication skills.
- Other info: Join a forward-thinking team with a focus on compliance and ethical data use.
The predicted salary is between 43200 - 72000 £ 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 in Edinburgh 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 in Edinburgh
✨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. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects and achievements in data strategy and analytics. This will not only demonstrate your skills but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance and analytics tools. Be ready to discuss how you've implemented data strategies in the past and how you can help shape the future of data at their organisation.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications and updates!
We think you need these skills to ace Head of Data & Analytics in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Head of Data & Analytics role. Highlight your experience in data management, governance, and analytics. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data strategy and how you can champion a culture of data excellence at StudySmarter. Keep it engaging and relevant!
Showcase Your Leadership Skills: Since this is a senior position, we’re keen to see examples of how you've led high-performing teams in the past. Share specific achievements that demonstrate your ability to drive data-driven insights and foster innovation.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing talent out there!
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 this is a senior leadership role, prepare examples of how you've led high-performing teams in the past. Highlight your experience in fostering a culture of data excellence and innovation, and be ready to discuss how you can inspire others to embrace data-driven decision-making.
✨Understand Data Governance
Brush up on data governance frameworks and best practices. Be prepared to talk about how you would ensure data quality, integrity, and security within the organisation, as well as your approach to compliance with data protection laws like GDPR.
✨Engage with Stakeholders
Think about how you would collaborate with various stakeholders across the business. Prepare to discuss your communication strategies and how you would tailor analytics solutions to meet different teams' data needs, ensuring everyone is on board with the data initiatives.
