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- Tasks: Lead impactful data projects and transform complex datasets into actionable insights.
- Company: Chambers and Partners, a data-driven organisation with a focus on innovation.
- Benefits: Competitive salary, mentoring opportunities, and a collaborative work environment.
- Why this job: Shape data strategy and drive real change in a dynamic, agile setting.
- Qualifications: Experience in data analysis, SQL, and building BI dashboards required.
- Other info: Join a team that values curiosity, collaboration, and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Lead Data Analyst to play a senior role within the Data function at Chambers and Partners. You will lead the development of high impact, data driven products and insights that unlock the value of our proprietary data for both the business and our customers. Partnering closely with Product and Research and collaborating across Data, AI, Technology and Commercial teams, you will transform complex datasets into actionable insights, analytical features and embedded intelligence that strengthen our research offering and drive commercial impact.
In this role, you will own analytical problem solving across the full data product lifecycle, from opportunity discovery and prioritisation through to delivery, adoption and impact measurement. Acting as a trusted analytical partner to senior stakeholders, you will shape strategy, support experimentation and ensure decisions are grounded in robust evidence. You will also help raise analytical maturity across the organisation by mentoring analysts, promoting best practices and championing a product led, insight driven approach to data.
Main Duties and Responsibilities- Lead the delivery of complex analytical projects across research, rankings, submissions, product and commercial domains.
- Partner with stakeholders to understand business questions, translate them into analytical problems, and deliver clear, actionable insights.
- Perform deep exploratory analysis on structured and unstructured datasets to identify trends, patterns and opportunities.
- Design, build and maintain high-quality analytical datasets, metrics and reporting layers.
- Develop and own BI dashboards, reports and advanced analytics that enable trusted decision-making across the organisation.
- Ensure analytical outputs are accurate, well-documented and aligned with agreed definitions and standards.
- Support the development and adoption of analytical best practices, including metric design, data validation and insight storytelling.
- Act as a technical and analytical mentor to analysts, providing guidance, code review and coaching.
- Collaborate closely with Data Engineering, Data Science and AI teams to support advanced analytics and AI-driven initiatives.
- Contribute to the analysis and evaluation of new data products, features and insight-led offerings.
- Support external BI and analytics initiatives, including the development of customer-facing reports or embedded analytics where required.
- Help raise analytical literacy across the organisation through education, clear communication and stakeholder engagement.
- Continuously identify opportunities to improve data quality, tooling and analytical efficiency.
- Work closely with stakeholders to capture, clarify and validate requirements before committing to deliverables, ensuring alignment with business objectives.
- Adopt agile ways of working, delivering insights iteratively and adapting to evolving needs.
- Champion structured requirement gathering, agile delivery, and transparent communication to ensure analytical outputs meet stakeholder needs effectively.
- Promote responsible data use and communicate limitations or risks clearly to stakeholders.
- Define success metrics for analytical initiatives and track impact post-delivery to inform future prioritisation.
- Significant experience in a senior or lead data analyst role within a data-rich or research-driven organisation.
- Strong hands-on experience with data analysis, querying and modelling using SQL and analytical tools.
- Proven experience building and maintaining BI dashboards and reporting solutions that are trusted and widely adopted.
- Strong statistical and analytical reasoning skills, with the ability to interpret data accurately and responsibly.
- Experience working with complex, imperfect or qualitative datasets and turning them into meaningful insight.
- Excellent data storytelling skills, with the ability to communicate insights clearly to non-technical audiences.
- Experience collaborating closely with stakeholders across research, product, technology, marketing or commercial teams.
- Ability to manage multiple analytical initiatives simultaneously and prioritise effectively.
- Familiarity with data governance, data quality and metric definition best practices.
- Experience in developing frameworks for measuring adoption and business value of data products.
- Experience with modern data platforms and tools (e.g., cloud-based data warehouses, Python/R for advanced analytics, Tableau, PowerBI or other Business Intelligent tools).
- Ability to integrate data from multiple sources and optimise pipelines for analytical efficiency.
- Degree in a quantitative or analytical discipline (e.g. Mathematics, Statistics, Economics, Data Science) or equivalent practical experience.
- Curious, analytical and detail-oriented, with a strong desire to understand the why behind the data.
- Pragmatic and impact-focused, with a bias toward actionable insight rather than analysis for its own sake.
- Comfortable operating in ambiguity and navigating evolving questions and requirements.
- Collaborative and supportive team member who enjoys mentoring and raising others capability.
- Trusted and credible partner to stakeholders, able to challenge assumptions constructively using evidence.
- Values accuracy, transparency and integrity in analysis, and understands the importance of trust in data-driven insights.
- Motivated by improving how organisations use data to make better decisions.
- Comfortable working in an agile environment, embracing iterative development and continuous feedback.
- Strong influencing and negotiation skills to align stakeholders on priorities and trade-offs.
- Ability to manage ambiguity and adapt to evolving business needs while maintaining analytical rigour.
Lead Data Analyst in London employer: MANCOMM
Contact Detail:
MANCOMM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your past work to demonstrate how you’ve turned data into actionable insights.
✨Tip Number 3
Don’t just wait for job postings; be proactive! Apply through our website and express your interest in the role. Tailor your approach to show how you can add value to the team.
✨Tip Number 4
Follow up after interviews with a thank-you note. It’s a simple way to remind them of your enthusiasm and keep you top of mind as they make their decision.
We think you need these skills to ace Lead Data Analyst in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience that aligns with the Lead Data Analyst role. We want to see how your skills can directly contribute to our data-driven products and insights.
Showcase Your Analytical Skills: Use specific examples from your past work to demonstrate your analytical problem-solving abilities. We love seeing how you've transformed complex datasets into actionable insights, so don’t hold back!
Highlight Collaboration Experience: Since this role involves partnering with various teams, share instances where you’ve successfully collaborated with stakeholders. We’re keen on understanding how you’ve worked across different functions to drive results.
Apply Through Our Website: For a smooth application process, make sure to apply through our website. It’s the best way for us to receive your application and keep track of it as we review candidates for the Lead Data Analyst position.
How to prepare for a job interview at MANCOMM
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and experiences with data analysis. Be ready to discuss specific datasets you've worked with, the tools you used, and the insights you derived. This will show your expertise and help you connect your experience to the role at Chambers and Partners.
✨Master the Art of Storytelling
As a Lead Data Analyst, you'll need to communicate complex insights clearly. Prepare examples of how you've turned data into actionable insights for non-technical stakeholders. Practise explaining your findings in a straightforward way, focusing on the impact of your work on business decisions.
✨Showcase Your Collaboration Skills
This role requires working closely with various teams. Think of instances where you've partnered with product, research, or commercial teams to solve analytical problems. Highlight your ability to gather requirements and align with stakeholders, as this will demonstrate your collaborative spirit.
✨Prepare for Technical Questions
Expect questions about SQL, BI tools, and statistical methods. Brush up on your technical skills and be ready to discuss how you've used these tools in real-world scenarios. You might even be asked to solve a problem on the spot, so practise your analytical thinking under pressure.
