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- Tasks: Lead a dynamic analytics team and drive data-driven culture across the organisation.
- Company: Join a FTSE250 company at the forefront of digital transformation.
- Benefits: Competitive salary, career growth, and opportunities to innovate with AI technologies.
- Why this job: Make a real impact by spearheading AI adoption and transforming business outcomes.
- Qualifications: 5+ years in data analytics leadership and strong technical skills in SQL and Python.
- Other info: Based in Newcastle with flexible office days and occasional travel.
The predicted salary is between 43200 - 72000 £ per year.
This range is provided by Red Top Resources. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
We are looking for an experienced Data and AI leader who can help accelerate a data-driven culture and spearhead the responsible adoption of approved Large Language Models (LLMs) across the organization. This is a highly influential role requiring strategic partnership with leaders across this FTSE250 company to drive digital transformation through data and AI innovation.
This role is based in Newcastle and there is a requirement to be in the office at least 2 days a week with occasional travel to other sites within the UK.
Key Responsibilities- Platform Ownership and Development
- Platform Delivery
- Platform Development
- Platform Governance
- Leadership
- At least five years experience of Team Management in a Data analytics environment
- Six or more years of relevant experience in a business analyst, data analyst, or statistical analysis role
- Experience with SQL scripting, data warehousing, statistical analysis tools, Microsoft Excel, and data visualization tools such as Tableau and Amazon QuickSight; experience extracting and processing data using SQL and Excel
- Educated to degree level or equivalent in Statistics, Computer Science or Mathematics
- Proven experience of successfully managing a data analytics function
- Track record of successfully translating advanced analytics capabilities into measurable business outcomes
- Demonstrated ability to communicate complex AI concepts to non-technical stakeholders
- Experience with the Azure data platform.
- Data Architecting to create Entity, Logical, Physical Data Models
- Data Dictionary (Common Business Language)– for ultimate use in new systems design
- Experience in scripting languages (Python) for parsing and data analysis
- Experience with one or more of the statistical modelling languages/ toolboxes (R, SAS)
- Data Mapping & Migration, tools & techniques, ETL and Normalisation
- Data Cleanse/Quality- Base lining, measurement, and improvement
- Experience scaling and optimizing mature data platforms and driving enterprise-wide adoption
- Knowledge of AI/ML implementation strategies and practical applications in business contexts
- Experience with Generative AI technologies, LLMs, and their enterprise implementation
- Experience developing AI-powered solutions that enhance business intelligence capabilities
If you feel you have what is required for this role then we would love to hear from you.
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology, Management, and Strategy/Planning
Industries: Construction and Real Estate
Location: Newcastle Upon Tyne, England, United Kingdom
Head of Data and Analytics employer: Red Top Resources
Contact Detail:
Red Top Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data and Analytics
✨Tip Number 1
Network like a pro! Reach out to connections in the data and analytics field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, visualisations, and any AI solutions you've developed. This will help you stand out and demonstrate your expertise when you get that interview.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Think about how you can communicate complex concepts simply, as you'll need to impress both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities in data and analytics, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Head of Data and Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Data and Analytics. Highlight your experience in data analytics, team management, and any relevant tools you've used like SQL or Tableau. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can help us drive digital transformation. Be sure to mention any specific projects or achievements that demonstrate your expertise.
Showcase Your Leadership Skills: Since this role involves leading an established analytics function, make sure to highlight your leadership experience. Share examples of how you've successfully managed teams and driven results in previous roles. We love seeing how you can inspire others!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it's super easy!
How to prepare for a job interview at Red Top Resources
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data analytics and AI. Brush up on your SQL scripting, data warehousing, and statistical analysis tools. Be ready to discuss how you've used these skills to drive measurable business outcomes in your previous roles.
✨Communicate Complex Ideas Simply
Since this role involves translating advanced analytics concepts to non-technical stakeholders, practice explaining complex AI topics in straightforward terms. Use relatable examples from your past experiences to demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Showcase Leadership Experience
Highlight your team management experience in a data analytics environment. Prepare specific examples of how you’ve led teams, fostered a data-driven culture, and driven digital transformation initiatives. This will show that you’re not just a data expert but also a capable leader.
✨Be Ready for Technical Questions
Expect to face technical questions related to data architecture, ETL processes, and AI/ML implementation strategies. Brush up on your knowledge of Azure data platforms and be prepared to discuss your experience with generative AI technologies and LLMs. Confidence in your technical expertise will set you apart.
