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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing end-to-end data processes, including data warehousing, transformation, and business intelligence. Capable of translating business needs into actionable data insights while building reliable data systems that support AI applications.
Highest-signal resume keywords
Head Of Data ExperienceHands-On BI And Analytics ExperienceGoogle BigQuery ProficiencyData Transformation ExpertiseAI Integration Understanding
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 WarehousingData TransformationBusiness IntelligenceMetric DefinitionData AnalysisMachine Learning FoundationsData Science FoundationsMarketing Attribution AnalysisFinancial Data AnalysisStakeholder Management
Soft Skills
Problem-Solving AbilityPrioritization SkillsCollaboration SkillsCommunication SkillsLeadership Skills
Tools & Technologies
Google BigQueryDbtCubeMetabase
Industry Keywords
Startup ExperienceScale-Up ExperienceSeries B Company ExperienceData GovernanceData Reliability
Tech Stack
Tools & technologiesBigQuery
About the role
Key responsibilities & impact- Own Conveo's data stack end to end, including Google BigQuery, dbt, Cube and Metabase
- Review and scale the warehouse, transformation, semantic and BI layers
- Design access rights for customer, HR and financial data
- Own metric definitions and establish a trusted source of truth
- Close key data gaps, including marketing attribution and finance analysis data
- Build reliable data that teams can trust and use
- Translate department questions into useful analysis
- Act as the bridge between engineering and the business
- Replace dashboard and AI-report sprawl with focused, useful reporting
- Shape data for reliable AI use and help the business apply AI to analysis
- Hire the first data-team members and define the future BI team
- Lay groundwork for machine learning and data science
- Report to the CFO and collaborate with the CTO, engineering, operations and go-to-market teams
Requirements
What you’ll need- Experience leading data at a startup or scale-up, as a Head of Data, Head of Analytics or similar
- Ideally experience at a Series B company or later
- Hands-on BI and analytics experience
- Technical depth to understand data flows from the warehouse through transformation and semantic layers into a BI tool
- Problem-solving ability to translate department needs into analysis
- Commercial understanding of how a business works and what it needs from data
- Strong stakeholder skills and prioritisation ability
- Everyday use of AI and understanding of how to build data that AI tools can rely on
- Experience with the challenges of scaling fast
- Nice to have: hands-on experience with BigQuery, dbt, Cube or Metabase
Benefits
Comp & perks- Meaningful equity
- Regular socials: rooftop drinks, team dinners, run clubs, and more
- Twice-yearly off-sites to places worth travelling to
- Private health coverage with Vitality (incl. dental, vision)
- Enhanced employer pension contribution (5% employer, 3% employee contribution)
- Refer someone great and earn up to £5,000
- Work directly with frontier AI models
- Join a YC-backed team that's growing fast and gives you room to grow with it
