Lead Data Analyst
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Job description
Overview 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.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 ResponsibilitiesLead the delivery of complex analytical projects across research, rankings, submissions, product and commercial domainsPartner with stakeholders to understand business questions, translate them into analytical problems, and deliver clear, actionable insightsPerform deep exploratory analysis on structured and unstructured datasets to identify trends, patterns and opportunitiesDesign, build and maintain high-quality analytical datasets, metrics and reporting layersDevelop and own BI dashboards, reports and advanced analytics that enable trusted decision-making across the organisationEnsure analytical outputs are accurate, well-documented and aligned with agreed definitions and standardsSupport the development and adoption of analytical best practices, including metric design, data validation and insight storytellingAct as a technical and analytical mentor to analysts, providing guidance, code review and coachingCollaborate closely with Data Engineering, Data Science and AI teams to support advanced analytics and AI-driven initiativesContribute to the analysis and evaluation of new data products, features and insight-led offeringsSupport external BI and analytics initiatives, including the development of customer-facing reports or embedded analytics where requiredHelp raise analytical literacy across the organisation through education, clear communication and stakeholder engagementContinuously identify opportunities to improve data quality, tooling and analytical efficiencyWork closely with stakeholders to capture, clarify and validate requirements before committing to deliverables
Requirements
ensuring alignment with business objectivesAdopt agile ways of working, delivering insights iteratively and adapting to evolving needsThe Lead Data Analyst will champion structured requirement gathering, agile delivery, and transparent communication to ensure analytical outputs meet stakeholder needs effectivelyPromote responsible data use and communicate limitations or risks clearly to stakeholdersDefine success metrics for analytical initiatives and track impact post-delivery to inform future prioritisationSkills and ExperienceSignificant experience in a senior or lead data analyst role within a data-rich or research-driven organisationStrong hands-on experience with data analysis, querying and modelling using SQL and analytical toolsProven experience building and maintaining BI dashboards and reporting solutions that are trusted and widely adoptedStrong statistical and analytical reasoning skills, with the ability to interpret data accurately and responsiblyExperience working with complex, imperfect or qualitative datasets and turning them into meaningful insightExcellent data storytelling skills, with the ability to communicate insights clearly to non-technical audiencesExperience collaborating closely with stakeholders across research, product, technology, marketing or commercial teamsAbility to manage multiple analytical initiatives simultaneously and prioritise effectivelyFamiliarity with data governance, data quality and metric definition best practicesExperience in developing frameworks for measuring adoption and business value of data productsExperience 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 efficiencyDegree in a quantitative or analytical discipline (e.g. Mathematics, Statistics, Economics, Data Science) or equivalent practical experiencePerson SpecificationCurious, analytical and detail-oriented, with a strong desire to understand the "why" behind the dataPragmatic and impact-focused, with a bias toward actionable insight rather than analysis for its own sakeComfortable operating in ambiguity and navigating evolving questions and requirementsCollaborative and supportive team member who enjoys mentoring and raising others' capabilityTrusted and credible partner to stakeholders, able to challenge assumptions constructively using evidenceValues accuracy, transparency and integrity in analysis, and understands the importance of trust in data-driven insightsMotivated by improving how organisations use data to make better decisionsCo mfortable working in an agile environment, embracing iterative development and continuous feedbackStrong 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#J-18808-Ljbffr Similar jobs
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