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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced analytical capabilities using Python, R, and SQL, with a strong focus on data modeling, ETL/ELT processes, and statistical techniques. Proven experience in leading analytical initiatives, coaching analysts, and collaborating with senior stakeholders to drive business impact through data-driven insights.
Highest-signal resume keywords
Advanced Analytics ExpertiseData Modeling ProficiencyStakeholder ManagementAnalytical Product DevelopmentCoaching and Mentoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonRSQLData ModelingStatistical TechniquesMachine LearningForecastingExperimentationSegmentationAnalytical Engineering
Soft Skills
CollaborationCoachingCommunicationProblem SolvingStakeholder Engagement
Tools & Technologies
Power BIJiraConfluence
Industry Keywords
Agile MethodologiesData QualityETL/ELT ProcessesInsight FrameworksSemantic Layers
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Champion a culture of curiosity, technical excellence, responsible data use, commercial impact and continuous improvement
- Raise the capability of the wider analytics community through technical guidance, peer review, reusable frameworks, documentation and knowledge sharing
- Shape squad and analytics roadmaps with Business Partners, prioritising work based on business value, technical feasibility, data readiness and strategic alignment
- Collaborate with data engineering, data product and technology teams to ensure data infrastructure, pipelines and semantic layers support advanced analytical needs
- Translate complex data and modelling outputs into clear narratives for executive, senior leadership and operational audiences
- Define best practice for analytical methods, data modelling, experimentation, measurement, forecasting, segmentation and data storytelling
- Apply advanced hands-on analytics using Python/R, SQL, Power BI and statistical or machine learning techniques
- Own and govern the lifecycle of critical analytical products from discovery and problem framing through prototyping, productionisation, enablement and continuous improvement
- Lead the strategy, design, development and delivery of high-impact insight-led analytics products
- Provide technical leadership, coaching and quality assurance for analysts across squads
- Line manage analysts for performance, career development, capability growth, feedback, objective setting and professional standards
- Act as the embedded analytical lead for an assigned Player squad and partner with its Business Partner as a trusted analytical right hand
Requirements
What you’ll need- Familiarity with agile ways of working, squad delivery models and tools such as Jira and Confluence
- Comfortable balancing multiple senior stakeholders, competing priorities and delivery timelines while maintaining technical integrity and business focus
- Proven ability to lead complex analytical initiatives from ambiguous business problem through to embedded business change
- Ability to operate as the subject matter expert on advanced analytics, advising on methods, tools, technical standards and interpretation of complex outputs
- Strong understanding of data modelling, ETL/ELT processes, data quality, metric definition, analytical engineering principles and collaboration with data engineering teams
- Experience designing, governing and scaling analytical products, insight frameworks, semantic layers, dashboards or measurement solutions used across multiple business areas
- Advanced hands-on capability in SQL, Python or R for advanced analysis, automation, statistical modelling, forecasting, experimentation, segmentation or machine learning use cases
- Demonstrable experience partnering directly with Business Partners, heads of function, directors or equivalent senior leadership audiences
- Proven ability to coach and develop analysts, including setting objectives, giving feedback, supporting career development and raising performance standards
- Significant experience in senior stakeholder-facing analytics roles, with a strong record of influencing strategy and decisions through data
Benefits
Comp & perks- Company Bonus Scheme
- Matched pension contributions up to 8.5%
- 26 days annual leave + 2 Life Days (and bank holidays)
- Single Private Health Cover
- Complimentary Private Medical
- Income Protection
- Flexible Benefits – EV Scheme, Money Coach, Will Writing, Mortgage Advice, Dental and Eye Care Schemes
- Enhanced Family Leave (Maternity, Paternity, Adoption)
- Wellness Allowance £500
- Employee Assistance Programme
- Discounted Health Assessments
- Volunteering Days
- Matched Funding