Lead Data Analyst

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.
• 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.

Skills and Experience

• 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.

Person Specification

• 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.