Director of Data & Analytics

Hate mystery numbers and want to own the truth behind every metric? At Go Fish Digital, you will build the data backbone that connects SEO, Paid, and Social to revenue. Your work will power our strategy for our teams and bolster our clients' confidence. So, if clean schemas, fast pipelines, and dashboards that tell a story in seconds are your thing, this is your seat.

Stand up and lead the data and analytics engineering function that powers reporting for Owned, Paid, and Social media. Deliver audit-ready pipelines, clear KPI definitions, and dashboards that drive action for our clients and internal teams. This includes creating visuals that highlight what matters most, reduce noise, and help non-technical stakeholders understand performance at a glance.

• Data Strategy and Architecture: Choose and evolve the warehouse, ELT stack, and modeling approach.
• Pipelines and Models: Build and maintain ELT pipelines from GA4, Adobe Analytics, ad platforms, social, CRM, and finance systems into clean, documented models.
• Measurement and Governance: Own the KPI dictionary, UTM standards, tracking plans, event schemas, and change control.
• Tagging and Conversion Accuracy: Lead client-side and server-side tagging in GTM. Ensure pixels and conversions are correct.
• Dashboards and Reporting Packs: Develop reusable Looker Studio templates and executive views. Support Power BI, Big Query, or Tableau as needed.
• Data Quality and Reliability: Define SLAs, observability, QA, and alerting so numbers are traceable end-to-end.
• Roadmap and Intake: Run backlog, prioritize, and deliver analytics requests.
• Enablement: Document standards and train teams to self-serve. Part of this enablement is ensuring dashboards and visuals are structured so anyone can interpret them without heavy explanation.

• Owned (SEO and Content): Partner closely with SEO and Content teams to connect Adobe Analytics, GA4, Google Search Console, log files, and content metadata. Build views that surface page performance, topic authority, technical impact, and content contribution to revenue and conversions.
• Paid Media: Align platform spend, attribution, and conversion data across Adobe Analytics, GA4, and ad platforms. Enable clear views into pacing, CAC, ROAS, incrementality, and channel interaction for both optimization and executive reporting.
• Social (Organic and Paid): Standardize UTM taxonomy and social tracking frameworks across platforms. Tie engagement and audience growth to downstream site behavior, conversions, and revenue outcomes.
• Client Services: Embed reporting into QBRs and ongoing client communication. Equip Client Services with clear, defensible narratives and visuals that explain performance drivers, tradeoffs, and next actions without overloading clients with data.
• Sales and Growth: Support pre-sale discovery and scoping by defining measurement approaches, data availability, and reporting expectations upfront. Partner on client-ready visuals and storytelling that build confidence and accelerate close rates.
• Engineering and Product Teams: Collaborate on tagging strategies, data layer design, server-side tracking, and Adobe Launch implementations to ensure analytics is scalable, reliable, and future-proof.

• Hire and coach a small team of analytics team members and analysts.
• Set goals, review processes, and raise the bar on data modeling and documentation.
• Shape vendor and tool strategy with Ops.

• 5 to 8 years of experience in marketing analytics, analytics engineering, or data engineering roles supporting multi-channel marketing organizations.
• Deep expertise in Adobe Analytics, including enterprise implementations, report suite design, eVars, props, events, classifications, processing rules, and Analysis Workspace. Experience with Adobe Launch (or DTM) for scalable, maintainable tagging.
• Strong command of GA4, GTM, and server-side tagging, with the ability to design event schemas and tracking plans that hold up across complex sites and platforms.
• Expert-level SQL and strong data modeling skills across messy, real-world marketing and product datasets.
• Experience designing and maintaining modern data warehouses (Big Query or similar) and ELT pipelines.
• Proven ability to integrate Adobe Analytics and GA4 data with paid media, social, CRM, and finance systems to produce a unified, revenue-connected view of performance.
• Advanced dashboarding and visualization skills in Looker Studio, with a clear point of view on simplifying data and highlighting what matters. Familiarity with Power BI, Tableau, or similar BI tools is a plus.
• API experience with platforms such as Google Ads, Meta, Linked In, Tik Tok, Google Search Console, and Adobe Analytics.
• Strong understanding of measurement governance, including KPI definition, UTM standards, tracking documentation, QA processes, and ongoing change management.
• Clear, confident communicator who can turn complex data into decisive insights for non-technical…