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For Companies At a Glance
- Tasks: Lead a team of analysts to turn data into impactful business insights.
- Company: Join a dynamic company focused on data-driven strategies and operational excellence.
- Benefits: Enjoy hybrid work options and the chance to shape analytics practices.
- Why this job: Make a real impact by driving efficiencies and fostering a data-driven culture.
- Qualifications: Proven leadership, strong analytical skills, and technical expertise in SQL and Power BI required.
- Other info: This role is perfect for those passionate about analytics and automation.
The predicted salary is between 43200 - 72000 £ per year.
Lead Data Analyst
Greater Birmingham | Hybrid
Are you an experienced data analyst looking for a leadership role where your insights directly impact commercial and operational decisions? Our client is seeking a Lead Data Analyst to manage a team of three analysts. This is a unique opportunity to lead a team, drive operational efficiencies, and influence key stakeholders across Finance, Commercial, Customer Service, and Operations.
This is not just a reporting role—it’s about turning data into meaningful business decisions, insights, and storytelling. By focusing on automating reporting inefficiencies, optimising planning, and driving operational insights, you will play a key role in shaping data-driven strategies.
What You’ll Do
You will lead a team of analysts, ensuring they develop into high-impact contributors who drive meaningful business improvements. Through a combination of hands-on analytics and leadership (roughly 50/50), you will work closely with senior stakeholders to identify inefficiencies, optimise processes, and translate complex data into actionable insights. Your role will involve balancing hands-on technical problem-solving with strategic leadership, ensuring the team stays focused on delivering value. You’ll also be key in automating and optimising reporting, transitioning from static reports to real-time, insight-driven analytics. Additionally, you will foster a data-driven culture within the business, championing best practices and promoting the adoption of modern analytics tools.
What You’ll Need to Succeed
- Proven Leadership Experience – Comfortable managing and developing a team, providing guidance, and fostering a collaborative environment.
- Strong Analytical Skills – Able to extract meaningful insights from complex datasets and demonstrate clear business impact.
- Technical Expertise – Strong experience with SQL, Power BI, Python/PySpark; Databricks is a plus but not essential.
- Stakeholder Management – Confident in engaging with senior stakeholders, translating data into compelling narratives that drive business decisions.
- Commercial Mindset – A background in operational or commercial analytics (e.g., logistics, supply chain, marketing) within the private sector is highly desirable.
- Problem-Solving Ability – More than just a dashboard expert—you know how to turn data into real-world solutions that optimise operations.
This is a fantastic opportunity for a data leader passionate about analytics, automation, and driving operational excellence through data. You will have the opportunity to shape a growing analytics function and make a tangible impact on the business.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering, Information Technology, and Product Management
Industries
Data Infrastructure and Analytics, IT System Data Services, and Software Development
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Lead Data Analyst employer: Consortia
Contact Detail:
Consortia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Showcase your leadership experience by discussing specific examples where you've successfully managed a team. Highlight how you fostered collaboration and guided your team to achieve significant results.
✨Tip Number 2
Prepare to discuss your analytical skills in detail. Be ready to explain how you've extracted insights from complex datasets and the direct impact those insights had on business decisions.
✨Tip Number 3
Familiarize yourself with the tools mentioned in the job description, especially SQL, Power BI, and Python/PySpark. If you have experience with Databricks, be sure to mention it as a bonus.
✨Tip Number 4
Think about how you can demonstrate your commercial mindset. Prepare examples from your past roles that illustrate your understanding of operational or commercial analytics and how you've applied that knowledge to drive improvements.
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your leadership experience and analytical skills. Emphasize any previous roles where you managed a team or drove operational efficiencies, as this is crucial for the Lead Data Analyst position.
Craft a Compelling Cover Letter: In your cover letter, focus on your ability to translate complex data into actionable insights. Share specific examples of how you've influenced business decisions through data analysis and stakeholder engagement.
Showcase Technical Skills: Clearly list your technical expertise in SQL, Power BI, and Python/PySpark. If you have experience with Databricks, mention it as a bonus. Providing examples of projects where you utilized these tools can strengthen your application.
Demonstrate Problem-Solving Ability: Highlight instances where you've turned data into real-world solutions. Discuss how you've optimized processes or automated reporting inefficiencies, showcasing your problem-solving skills relevant to the role.
How to prepare for a job interview at Consortia
✨Showcase Your Leadership Skills
Be prepared to discuss your experience in managing and developing teams. Highlight specific examples where you fostered collaboration and guided your team to achieve significant results.
✨Demonstrate Analytical Expertise
Prepare to share instances where you've extracted meaningful insights from complex datasets. Use concrete examples to illustrate how your analysis led to impactful business decisions.
✨Engage with Stakeholders
Practice how you would translate data into compelling narratives for senior stakeholders. Be ready to discuss your approach to stakeholder management and how you ensure their needs are met through data-driven insights.
✨Highlight Problem-Solving Abilities
Think of real-world problems you've solved using data analytics. Be ready to explain your thought process and the solutions you implemented, showcasing your ability to turn data into actionable strategies.
