At a Glance
- Tasks: Lead the data strategy and governance for a high-profile company.
- Company: Join a leading organisation focused on data-driven decision making.
- Benefits: Competitive salary, career growth, and the chance to shape data analytics.
- Other info: Work in a dynamic environment with opportunities for professional development.
- Why this job: Make a real impact by driving innovative data solutions and analytics.
- Qualifications: Senior data leadership experience and strong stakeholder engagement skills.
The predicted salary is between 80000 - 100000 € per year.
The Head of Data & Analytics is responsible for leading the organisation’s data strategy, governance, business intelligence, reporting, and data platform. The role exists to establish data as a strategic capability, ensure decisions are driven by high‑quality governed data, and build the foundations required for analytics, AI, and machine learning.
Role Scope
- You will lead all enterprise data functions, including:
- Data governance
- Business intelligence & reporting
You will oversee the performance and evolution of the Power BI environment, enterprise data warehouse/lakehouse, and Azure data services. The role works closely with Finance, Operations, Commercial, Property, Business Change, Information Security, and technology partners. You will chair or co‑chair data governance forums and guide data stewards across business domains.
Key Responsibilities
- You will be accountable for delivering:
- An enterprise data governance framework with clear ownership, quality standards, metadata management, and GDPR compliance
- High‑quality BI, executive dashboards, and board‑ready insights
- A secure, scalable, modern data platform with reliable ETL/ELT pipelines and strong SLAs
- Domain‑specific data products that support strategic priorities
- Governed, AI‑ready data for analytics, machine learning, and RAG pipelines
- Adoption of self‑serve analytics within defined guardrails
Knowledge, Skills & Experience
- Senior data leadership background
- Experience in infrastructure, telecoms, or asset‑intensive industries (preferred)
- Proven track record building or transforming Data & Analytics functions
- Experience with data warehouse/lakehouse architecture and Azure services (Data Factory, Synapse, Data Lake, SQL)
- Leadership of multidisciplinary data teams
- Strong stakeholder engagement and communication skills
- Budget management and ROI analysis experience
- Understanding of data requirements for AI/ML and RAG pipelines
Head of Data Analytics in Reading employer: Project People
As a leading employer in the data analytics sector, our company offers an exceptional work environment that fosters innovation and collaboration. With a strong commitment to employee growth, we provide ample opportunities for professional development and advancement, alongside a competitive benefits package. Located in a vibrant area, our culture promotes inclusivity and teamwork, making it an ideal place for those looking to make a meaningful impact in the field of data strategy and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Analytics in Reading
✨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 previous projects, especially those involving data governance and BI. Use platforms like LinkedIn to share insights or articles related to data strategy. This will position you as a thought leader in the space.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Azure services and data architecture. We recommend practising common interview questions related to data governance and analytics. The more prepared you are, the more confident you’ll feel when discussing your experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your leadership skills and experience in managing multidisciplinary teams. Let’s get you that dream job in data analytics!
We think you need these skills to ace Head of Data Analytics in Reading
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 governance, business intelligence, and any relevant technologies like Azure services. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data strategy and how you can lead our analytics efforts. Be sure to mention specific achievements that demonstrate your leadership in data functions.
Showcase Your Leadership Skills:Since this role involves leading multidisciplinary teams, make sure to highlight your leadership experience. Share examples of how you've successfully guided teams in the past and how you plan to foster collaboration at StudySmarter.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Project People
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data analytics, especially around Azure services and data governance. Brush up on your knowledge of Power BI and be ready to discuss how you've used these tools to drive business intelligence in previous roles.
✨Showcase Your Leadership Skills
As a Head of Data Analytics, you'll need to demonstrate strong leadership capabilities. Prepare examples of how you've led multidisciplinary teams and engaged stakeholders effectively. Think about specific challenges you've faced and how you overcame them to foster collaboration and drive results.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Be ready to discuss how you would establish a data governance framework or improve data quality standards. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Understand the Company’s Data Strategy
Research the company’s current data strategy and any recent initiatives they’ve undertaken. This will not only help you tailor your answers but also show your genuine interest in the role. Be prepared to discuss how your vision aligns with their goals and how you can contribute to their data-driven decision-making.
