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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 complex data needs into actionable insights while building and leading a data team to support organizational growth.
Highest-signal resume keywords
Head Of Data ExperienceHands-On BI And Analytics ExperienceGoogle BigQuery ProficiencyData Transformation With dbtStakeholder Management Skills
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 ManagementData AnalysisMetric DefinitionData Infrastructure ScalingAI Integration
Soft Skills
Problem-Solving AbilityPrioritization SkillsTranslation Between Stakeholders
Tools & Technologies
Google BigQueryDbtCubeMetabase
Industry Keywords
Data WarehouseBusiness IntelligenceMarketing AttributionFinance AnalysisMachine Learning
Tech Stack
Tools & technologiesBigQuery
About the role
Key responsibilities & impact- Own Conveo's internal data end to end, from warehouse to dashboard
- Own the Google BigQuery warehouse, dbt and Cube transformation and semantic layers, and Metabase BI tooling
- Review and scale the existing data infrastructure as new tools and data sources are added
- Define access rights for customer, HR and financial data
- Own metric definitions and establish a trusted single source of truth
- Close key data gaps, including marketing attribution and finance analysis data
- Make data reliable and actionable across the business
- Partner with department leads to identify questions and build useful analyses
- Translate between engineering and business stakeholders
- Replace one-off dashboards and AI-generated reports with focused, useful reporting
- Shape data for reliable AI use and help the business apply AI to analysis
- Hire initial data team members and define the future BI team structure
- Lay groundwork for future machine learning and data science
- Report to the CFO and work closely 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 understanding of 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 in work and understanding of how to build data AI tools can rely on
- Experience scaling fast and understanding of the structure needed for growth
- Hands-on experience with BigQuery, dbt, Cube or Metabase (nice to have)
- Experience with Google BigQuery, dbt, Cube and Metabase
Benefits
Comp & perks- Meaningful equity
- Regular socials: rooftop drinks, team dinners, run clubs, and more
- Twice-yearly off-sites
- Private health coverage through Alan
- Mobility budget
- Meal vouchers
- Enhanced employer pension contribution (3% employer 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
