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- Tasks: Lead a team to develop and implement data strategies for business growth.
- Company: Join a renowned organisation focused on customer service and innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and a vibrant workplace culture.
- Why this job: Be at the forefront of data-driven decision-making and AI advancements.
- Qualifications: Proven experience in leading data functions and modern data technologies required.
- Other info: Position based in Leeds/York with occasional travel; commitment to diversity and inclusivity.
The predicted salary is between 43200 - 72000 £ per year.
About the Company - Our client is seeking a Head of Data and Analytics to drive the organisation's data and analytics strategy, fostering a data-driven culture, and delivering actionable insights to support business growth and innovation.
About the Role - This role oversees the data engineering, data analytics, and data governance teams, ensuring the organisation leverages its data assets effectively while maintaining data governance, security, and compliance.
Responsibilities
- Developing and delivering a data & analytics strategy, prioritising data initiatives in conjunction with the business.
- Leading a team of data professionals including engineers, analysts and developers.
- Oversee the development and support of a scalable and secure data platform, including data lakes, data warehouses and pipelines.
- Define and drive data governance for the organisation.
- Drive the adoption of advanced analytics, AI and Machine Learning for analytics and customer insights.
- Work with key stakeholders across the business to drive data awareness.
Qualifications
- Experience in leading a data and analytics function.
Required Skills
- A track record of developing and implementing enterprise-wide data and analytics strategies and implementing such on a fully fledged data platform.
- Hands-on experience in modern data technologies (e.g., Snowflake, Fabric) and analytics platforms (e.g., Tableau, Power BI, Looker).
- Strong knowledge of data governance, security, and compliance frameworks.
- Knowledge of data architecture, engineering, and advanced analytics techniques (e.g., machine learning, AI).
- Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and big data ecosystems.
- Strong leadership, strategic thinking, and communication skills.
- The ability to influence and collaborate with senior executives and cross-functional teams.
Preferred Skills
Pay range and compensation package - The role will be based between Leeds and York, with occasional travel to Manchester. This is an excellent opportunity to lead the data area for a well known customer facing organisation.
Equal Opportunity Statement - Include a statement on commitment to diversity and inclusivity.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology, Strategy/Planning, and Analyst
Industries: Transportation, Logistics, Supply Chain and Storage and Consumer Services
Head of Data & Analytics employer: psd group
Contact Detail:
psd group 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 events, webinars, or local meetups to connect with others who may have insights into the role or the company. Building relationships can often lead to referrals or insider information that could give you an edge.
✨Tip Number 2
Familiarise yourself with the latest trends in data technologies and analytics platforms mentioned in the job description, such as Snowflake and Tableau. Being able to discuss these tools confidently during interviews will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 3
Prepare to showcase your leadership skills by gathering examples of how you've successfully led teams in the past. Think about specific projects where you drove data initiatives or fostered a data-driven culture, as these experiences will be crucial in demonstrating your fit for the Head of Data & Analytics position.
✨Tip Number 4
Research the company’s current data practices and any recent news related to their data strategy. This knowledge will not only help you tailor your discussions but also show your genuine interest in the organisation and its goals during the interview process.
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 leading data and analytics functions. Emphasise your hands-on experience with modern data technologies and analytics platforms, as well as your knowledge of data governance and compliance.
Craft a Compelling Cover Letter: In your cover letter, express your passion for fostering a data-driven culture. Discuss specific examples of how you've developed and implemented data strategies in previous roles, and how you can bring that expertise to the company.
Showcase Leadership Skills: Highlight your leadership experience by detailing how you've led teams of data professionals. Provide examples of successful projects where you influenced cross-functional teams and collaborated with senior executives.
Demonstrate Technical Proficiency: Mention your proficiency in cloud platforms and big data ecosystems. Include any relevant certifications or training in tools like Snowflake, Tableau, or Power BI to strengthen your application.
How to prepare for a job interview at psd group
✨Showcase Your Leadership Skills
As a Head of Data & Analytics, you'll be leading teams. Be prepared to discuss your leadership style and provide examples of how you've successfully managed data professionals in the past.
✨Demonstrate Technical Proficiency
Familiarise yourself with modern data technologies and analytics platforms mentioned in the job description. Be ready to discuss your hands-on experience with tools like Snowflake, Tableau, or Power BI.
✨Highlight Your Strategic Thinking
Prepare to talk about how you've developed and implemented data strategies in previous roles. Think of specific initiatives that drove business growth and how you prioritised data projects.
✨Understand Data Governance and Compliance
Since this role involves overseeing data governance, brush up on your knowledge of data security and compliance frameworks. Be ready to explain how you've ensured data integrity and security in your past experiences.
