Lead Data Analyst
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.
Applicants who identify as Disabled and/or Neurodiverse will be entitled to an interview if they meet the minimum criteria as specified in the Job Description, additionally we will offer reasonable adjustments to those who require them. Some examples of reasonable adjustments are extra time in assessments, video interviews to combat travel-based issues and advice on expected interview topics/questions.
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
- The Lead Data Analyst will 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