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- Tasks: Lead the data function, setting strategy and governance for a data-driven environment.
- Company: Dynamic financial services firm focused on innovation and growth.
- Benefits: Competitive salary, career advancement, and a collaborative work culture.
- Other info: Onsite in Birmingham three days a week; no sponsorship available.
- Why this job: Shape the future of data analytics in finance and make a real impact.
- Qualifications: Strong experience in data roles, SQL, Python, and BI tools required.
The predicted salary is between 70000 - 90000 ÂŁ per year.
I'm currently working with a client in the financial sector looking for a Head of Data & Analytics. You will need to be a problem solver capable of building their entire data function from scratch, setting the strategy, architecture, governance including all reporting foundations needed to enable a fully data-driven environment.
Required skillset:
- Strong experience in data-focused roles within financial services, investments, or pensions.
- Expertise in data governance, quality management, and regulatory requirements.
- Handsâon proficiency with SQL, Python, and modern BI tools such as Power BI or Tableau.
- Experience implementing or managing enterprise data platforms.
- Excellent analytical and problemâsolving skills, with strong attention to detail.
- Ability to communicate complex data concepts to both technical and non-technical audiences, including senior leaders.
Location - Birmingham (3 days per week onsite requirement). Sponsorship is not available for this role.
Head of Data & Analytics (Birmingham) in West Bromwich employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Head of Data & Analytics (Birmingham) in West Bromwich
â¨Tip Number 1
Network like a pro! Reach out to connections in the financial sector, especially those who work with data. A friendly chat can lead to insider info about job openings or even referrals.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, Python, and BI tools. This will help you stand out and demonstrate your hands-on experience.
â¨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled data governance and quality management challenges in the past. We want to see your analytical prowess!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Head of Data & Analytics (Birmingham) in West Bromwich
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data-focused roles, especially within financial services, and showcase your hands-on skills with SQL, Python, and BI tools like Power BI or Tableau.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Head of Data & Analytics role. Share specific examples of how you've built data functions from scratch and your approach to data governance and quality management.
Showcase Your Problem-Solving Skills: In your application, donât just list your skillsâdemonstrate them! Provide examples of complex data problems you've solved and how your analytical skills have made a difference in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you donât miss out on any important updates!
How to prepare for a job interview at Nigel Frank
â¨Know Your Data Inside Out
Make sure you brush up on your knowledge of data governance, quality management, and regulatory requirements. Be ready to discuss how you've tackled these in previous roles, especially within financial services. This will show that youâre not just familiar with the concepts but have practical experience applying them.
â¨Showcase Your Technical Skills
Prepare to demonstrate your hands-on proficiency with SQL, Python, and BI tools like Power BI or Tableau. You might be asked to solve a problem on the spot, so practice coding challenges or data visualisation tasks beforehand. This will help you feel confident and ready to impress.
â¨Communicate Clearly
Since you'll need to explain complex data concepts to both technical and non-technical audiences, practice simplifying your explanations. Think about how you would present your ideas to senior leaders who may not have a technical background. Clear communication can set you apart from other candidates.
â¨Demonstrate Problem-Solving Skills
Be prepared to discuss specific examples where you've solved complex problems in data analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you convey your analytical skills effectively and show how you can build a data function from scratch.