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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 forward-thinking company focused on data-driven strategies and operational excellence.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of analytics while making a real difference in business decisions.
- Qualifications: Proven leadership, strong analytical skills, and experience with SQL and Power BI required.
- Other info: Ideal for those passionate about automation and driving operational improvements.
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.
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 skills by discussing any previous experience where you managed a team or led a project. Highlight how you fostered collaboration and developed team members, as this role requires strong leadership capabilities.
✨Tip Number 2
Prepare to discuss specific examples of how you've turned complex data into actionable insights. Be ready to explain the impact of your analyses on business decisions, as this will demonstrate your analytical prowess and commercial mindset.
✨Tip Number 3
Familiarise yourself with the latest analytics tools and technologies, especially SQL, Power BI, and Python/PySpark. Being able to speak confidently about your technical expertise will set you apart from other candidates.
✨Tip Number 4
Engage in conversations about stakeholder management. Prepare to share experiences where you successfully communicated complex data narratives to senior stakeholders, as this is crucial for influencing key business decisions.
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. Focus on specific examples where you've managed teams and driven business improvements through data insights.
Craft a Compelling Cover Letter: In your cover letter, emphasise your passion for data analytics and leadership. Discuss how your background aligns with the role's requirements, particularly in stakeholder management and problem-solving.
Showcase Technical Skills: Clearly outline your technical expertise in SQL, Power BI, and Python/PySpark. Provide examples of projects where you've used these tools to deliver actionable insights or automate reporting processes.
Demonstrate Commercial Awareness: Highlight any experience you have in operational or commercial analytics. Discuss how your insights have influenced business decisions in previous roles, showcasing your understanding of the commercial landscape.
How to prepare for a job interview at Consortia
✨Showcase Your Leadership Skills
As a Lead Data Analyst, you'll be managing a team. Be prepared to discuss your previous leadership experiences, how you've developed team members, and the strategies you used to foster collaboration. Highlight specific examples where your leadership directly contributed to successful outcomes.
✨Demonstrate Analytical Expertise
Expect to be asked about your analytical skills and technical expertise. Prepare to discuss your experience with SQL, Power BI, and Python/PySpark. Bring examples of complex datasets you've worked with and how you extracted meaningful insights that influenced business decisions.
✨Engage with Stakeholders
Stakeholder management is key in this role. Be ready to share experiences where you successfully engaged with senior stakeholders. Discuss how you translated data into compelling narratives that drove business decisions, showcasing your ability to communicate effectively across different levels of the organisation.
✨Emphasise Problem-Solving Skills
This role requires more than just technical skills; it's about turning data into real-world solutions. Prepare to discuss specific challenges you've faced in previous roles and how you approached problem-solving. Highlight any instances where your insights led to operational optimisations or efficiencies.
