Careers at Go Fish

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.


THE MISSION

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.

WHAT YOU WILL OWN


  • Data Strategy and Architecture: Choose and evolve the warehouse, ELT stack, and modeling approach.
  • Pipelines and Models: Build and maintain ELT from GA4, 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, BigQuery, 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.


HOW YOU WILL PARTNER

  • Owned (SEO and Content): Connect GSC, GA4, log files, and content metadata. Create page, topic, and technical impact views.
  • Paid Media: Align platform spend and conversions with GA4. Build views for pacing, CAC, ROAS, and incrementality.
  • Social: Standardize UTM taxonomy across organic and paid. Tie engagement to site and revenue outcomes.
  • Client Services and Sales: Embed reporting in QBRs. Support pre-sale scoping to track and define data needs. Create client-ready visuals that elevate the narrative, spotlight performance drivers, and support strategic recommendations.

TEAM YOU WILL LEAD

  • 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.

SKILLS & EXPERIENCE

  • 5 to 8 years in marketing analytics or data engineering
  • Expert SQL and strong data modeling across messy marketing datasets.
  • GA4, GTM, server-side tagging, and common ad pixels.
  • BigQuery or similar warehouse. ELT with Fivetran, Stitch, or Python jobs.
  •  Dashboarding in Looker Studio, with the ability to build clean, uncluttered visualizations that highlight trends, outliers, and opportunities. Familiarity with Power BI, BigQuery, or Tableau is a plus.
  • API experience with Google Ads, Meta, LinkedIn, TikTok, and GSC.
  •  Clear communicator who can turn data into decisions for non-technical stakeholders through concise explanations and visuals that make insights obvious.

GUIDELINES FOR YOUR APPLICATION


What We Need: Alongside your resume, craft a one-page cover letter that gives us some perspective into your unique journey and passion for this role. Don’t forget to mention your salary expectations.


Handling Attachments: Some platforms can be tricky. If limited to one file, combine your resume and cover letter. Bonus points for work samples — links in CVs or resumes are good, too! If you have samples of dashboards or visual work that demonstrate how you simplify complexity, feel free to include them.


The Weight of the Cover Letter: It’s more than just a formality – it’s our first introduction to you. Make it count. Without it, your application won't be reviewed.


Note on ‘Quick Apply’: This feature can sometimes miss essential details. Ensure all our requirements are met — incomplete applications won't progress.


Adherence to these guidelines is paramount.


Missing out will cost you a spot in the process. And then, we all miss out. And that bums us out. Don't bum us out. We value attention to detail, and this is your chance to show that off.


We appreciate the effort you put into your application and look forward to getting to know you better!



Analytics

Remote (United States)

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