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- Tasks: Lead impactful data projects and transform complex datasets into actionable insights.
- Company: Chambers and Partners, a forward-thinking organisation committed to data-driven excellence.
- Benefits: Inclusive culture, professional growth opportunities, and a chance to shape data strategy.
- Why this job: Make a real difference by driving data insights that impact business decisions.
- Qualifications: Experience in data analysis, SQL, and strong communication skills required.
- Other info: Join a diverse team that values collaboration and continuous learning.
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.
We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change.
Lead Data Analyst employer: Chambers and Partners
Contact Detail:
Chambers and Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. The more people know you’re looking for a Lead Data Analyst role, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, dashboards, and any cool insights you've derived from data. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your data storytelling skills. Be ready to explain complex datasets and insights in a way that even non-technical folks can understand. Remember, it’s all about making your analysis relatable!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Analyst
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 in data analysis and stakeholder collaboration can shine through!
Showcase Your Analytical Skills: Use specific examples from your past work to demonstrate your analytical prowess. Whether it's building BI dashboards or performing deep exploratory analysis, we love seeing how you've turned complex data into actionable insights.
Communicate Clearly: Remember, we value clear communication! When writing your application, make sure to articulate your thoughts in a straightforward manner. This will show us that you can effectively convey insights to non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Chambers and Partners
✨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 ability to transform complex data into actionable insights.
✨Master the Art of Storytelling
Practice how you present your analytical findings. Use clear, concise language and be prepared to explain your insights to non-technical stakeholders. Highlight your ability to communicate complex ideas simply, as this is crucial for a Lead Data Analyst role.
✨Showcase Your Collaboration Skills
Be ready to discuss examples of how you've partnered with different teams, such as Product or Research. Emphasise your experience in gathering requirements and aligning analytical outputs with business objectives. This demonstrates your ability to work cross-functionally and understand stakeholder needs.
✨Prepare for Technical Questions
Brush up on your SQL skills and be prepared to answer technical questions related to data querying and modelling. You might also be asked about your experience with BI tools like Tableau or PowerBI, so have examples ready that showcase your proficiency and the impact of your work.
