Lead Data Analyst
Chambers & Partners
- London, England, United Kingdom
- London, England, United Kingdom
À propos
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.
Equal Opportunity Statement 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.
Applicantswho 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
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
Co mfortable 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
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Compétences linguistiques
- English
Avis aux utilisateurs
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