Analytics Lead

Scale by Zambezi is seeking a fractional Senior Data Analyst to serve as the lead architect and builder of our analytics ecosystem. This is a high-impact, individual contributor role for a strategic leader who thrives on execution. You won't just oversee a vision; you will personally engineer the foundational processes, measurement frameworks and data capabilities that power our media performance.

Acting as a bridge between high-level strategy and technical execution, you will own the end-to-end analytics lifecycle – from data harmonization to advanced visualization. As a key partner to media leadership, you’ll ensure every creative and media decision is rooted in rigorous, actionable insight. Beyond day-to-day delivery, you will define Scale’s measurement standards, creating a scalable roadmap and reusable frameworks that drive consistency, speed and precision.

This is a temporary part-time, hybrid role based in LA.

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RESPONSIBILITIES

• Support Foundational Day-to-Day Reporting Operations
  • Stewardship of current client reporting deliverables
    • Ensure accurate, timely & QA’ed data across paid media channels, site analytics, and relevant client business data (as available).
    • Implement and enforce reporting standards (taxonomy/naming conventions, KPI definitions, UTM governance) to enable consistent analysis.
    • Review performance data cuts (cross-channel, audience, creative, reach/frequency, efficiency/effectiveness) and translate findings into clear actions.
    • Support monthly & quarterly reporting with executive-ready storytelling tied to client goals and media strategy.
    • Support ad-hoc requests to provide analysis on performance questions
  • Client and vendor partnership
    • Interface with client analytics/insights/data teams to align on KPIs, data definitions, governance, and measurement plans.
    • Coordinate with external vendors/platforms on data ingestion, study outputs, and interpretation, ensuring recommendations are methodologically sound and operationally actionable.
• Drive Strategic Elevation of Capabilities
  • Operational streamlining 
    • Audit current reporting deliverables, capabilities, cadence and workflows
    • Introduce solutions to streamline operations and reduce manual inputs
  • Strategic roadmaps to elevate value and drive integration
    • Partner with media leads and client stakeholders to refine measurement approaches and learning agendas; translate those into reporting structures, recurring readouts, and decision cadences.
    • Identify measurement gaps and propose pragmatic fixes (tagging/event taxonomy, data access needs, vendor studies, or process improvements).
  • Capability building for SCALE
    • Identify and pilot AI-driven automation and advanced visualization tools to compress the reporting lifecycle.
    • Scout and evaluate the MarTech landscape to elevate measurement solutions
    • Contribute to development of measurement and reporting best practices and processes: templates, standards, dashboard patterns, automation opportunities, and documentation.
    • Mentor media team through review, QA, and best-practice enablement (informal leadership; may not include direct people management).

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REQUIREMENTS

• A genuine desire to build and establish a best-in-class, standalone analytics and measurement offering with a high degree of ownership and initiative.
• 6+ years in media analytics, marketing analytics, measurement or agency/client analytics roles.
• Strong understanding of paid media metrics and measurement tradeoffs across channels.
• Advanced proficiency at least one of: Tableau/Datorama/Power BI/Looker/Looker Studio.
• Experience analyzing data across multiple media channels/platforms (Digital, Paid Social, Paid Search, CTV/OTT, LinearTV)
• Proven ability to lead an analytics workstream from ambiguous question to data to analysis to narrative to informing recommendations.
• Strong stakeholder management and communication skills (technical and non-technical audiences).

Our recruitment process relies on human evaluation and judgment to ensure a fair and equitable experience for all candidates. We do not utilize AI-powered tools or automated decision-making systems for screening, evaluation, or hiring decisions.

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How to Apply

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