Source description
About the role
Proven Leadership: 4+ years delivering analytics solutions for Marketing teams within a high-growth SaaS company.
Marketing Domain Expertise: Strong working knowledge of channel logic across paid, organic, lifecycle, partner, and field marketing – including how each channel is planned, instrumented, and measured – and fluency in attribution methodologies (multi-touch, incrementality, and marketing mix modelling).
Partner & Field Marketing Fluency: Understanding of how partner-sourced and partner-influenced pipeline is tracked, and how field marketing programs (events, conferences) are measured against pipeline and revenue outcomes.
Requirements Translation: A demonstrated ability to take loose, ambiguous, or evolving marketing requirements and translate them into well-structured dbt models, clear metric definitions, and insights stakeholders can act on.
Consulting Background: Experience in a consulting role, successfully managing a diverse portfolio of projects across various companies and stakeholder groups.
Data Infrastructure Expertise: Strong understanding of modern data infrastructure (e.g., cloud data warehouses like BigQuery; ETL/ELT tools; dbt model development; modern data visualisation tools like ThoughtSpot, OMNI, Looker).
Exceptional Business Acumen: Ability to quickly understand complex business problems, identify key performance indicators, and translate data into strategic insights that drive tangible business value.
Communication & Influence: Excellent communication (verbal and written) skills, with the ability to articulate complex analytical concepts – including attribution and MMM trade-offs – to both technical and non-technical audiences and influence decision-making.
Strategic & Analytical Thinking: Highly analytical and strategic mindset, with a proven track record of developing and executing data strategies that align with marketing and business objectives.
Data Development: Directly engage in the creation of fundamental data and Business Intelligence (BI) infrastructure and assets, including hands-on dbt model authorship.
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