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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive analytics experience with strong SQL and Python capabilities, leading complex data analysis projects while managing and developing senior analysts. Excels in translating complex requirements into actionable analytical strategies and communicating insights to diverse audiences.
Highest-signal resume keywords
SQL ExpertisePython For Data AnalysisCloud-Based Data PlatformsLeadership And CoachingBusiness Problem-Solving
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisAnalytical ThinkingQuality AssuranceBest-Practice Coding StandardsAnalytical StrategiesData TransformationAutomationPerformance ManagementData VisualizationStatistical Analysis
Soft Skills
Confident CommunicationInterpersonal SkillsProactive LeadershipAdaptabilityGrowth Mindset
Tools & Technologies
AWSAzureGCPBusiness Intelligence ToolsData Reporting Tools
Industry Keywords
Large-Scale Data AnalysisUnstructured DatasetsClient ValuePractice GrowthEmerging Analytics Techniques
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Lead and oversee complex, large-scale data analysis projects addressing strategic client and internal briefs
- Use SQL and Python to shape analytical approaches, provide technical direction, and support transformation and automation
- Oversee BI and reporting deliverables, ensuring accurate, scalable outputs aligned with business and client needs
- Line manage 3–4 Senior Data Analysts through leadership, coaching and performance management
- Develop technical and consulting capability, including SQL, analytical thinking and best-practice coding standards
- Conduct one-to-ones, goal setting and development planning
- Review analytical outputs and code for quality assurance
- Identify and develop internal and external opportunities for analytical approaches, products and capabilities
- Lead analytical best practice, processes and standards across the team
- Build relationships with senior client and internal stakeholders
- Translate complex requirements into analytical strategies and solutions
- Communicate insights and recommendations to senior technical and non-technical audiences
- Support new business initiatives when required
Requirements
What you’ll need- Extensive analytics experience, with strong SQL capability and a track record of leading complex analytical projects
- Proven experience analysing a wide range of data sources, including large and unstructured datasets
- Strong working knowledge of Python for data analysis
- Experience with cloud-based data platforms or services, such as AWS, Azure or GCP
- Proven experience line managing and developing senior level analysts
- Excellent business problem-solving skills
- Ability to lead multiple workstreams and priorities
- Strong commercial understanding of how analytics drives client value, business performance and practice growth
- Keen interest in AI and emerging analytics techniques; hands-on AI experience is not essential
- Confident communication and presentation skills for senior technical and non-technical audiences
- Experience leading and developing others through quality assurance, coaching and constructive feedback
- Structured and methodical working style with judgement and adaptability
- Strong interpersonal skills and a proactive, influential and supportive leadership style
- Growth mindset focused on developing people, client relationships and analytical capability
- AI-curious and ready to lead exploration and adoption of relevant opportunities
Benefits
Comp & perks- Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays)
- Day off (on or in the week of) your birthday
- Pension eligibility, up to 5% matched contributions
- Private healthcare
- Life assurance
- Enhanced maternity and enhanced paternity and shared parental leave
- Cycle to work schemes
- Gym & retail discounts
- Regular social events/activities
- A range of other benefits from our flexible benefits package
- Meaningful work with real impact and space to grow
- Inclusive, supportive and trusted work environment
- Reasonable adjustments during the recruitment process