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Data Analyst

Harrison Clarke
Department:Data Analysis
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior Level
Skills:
SQLBI DASHBOARDSMETABASELOOKERTABLEAUMODEDATA MODELINGPYTHONSTATISTICAL ANALYSISK-MEANSAD TECHMARKETING ANALYTICS
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Job Description

Posted on: September 18, 2026

Data Analyst - Ad Network (Remote, US)


A fast-growing SaaS platform in the creator/media space (newsletter and publishing tools) is hiring a Data Analyst to embed with its Ad Network team. We're working with them exclusively on this search.


This is a net-new role for someone who wants real ownership: you'll build the reporting, dashboards, and data models that help the network grow for both advertisers and publishers. You'll partner directly with business leaders and a hands-on data leadership team who built much of what you'll be working on.


What you'll do

  • Build and own BI dashboards tracking campaign performance, network adoption, and advertiser/publisher health.
  • Run ad-hoc deep-dive analyses to surface patterns, friction points, and opportunities.
  • Design and maintain your own data models - fact tables, aggregations - to power reporting and analysis.
  • Define and track key metrics (CPC, CPA, CPM and beyond) and translate findings into clear recommendations.
  • Collaborate with engineering and data teams to improve tracking, instrumentation, and data quality.


What we're looking for

  • ~3+ years as a Data Analyst, Product Analyst, or similar in SaaS or high-growth tech.
  • Excellent SQL - this is non-negotiable.
  • Hands-on experience building BI dashboards (Metabase, Looker, Tableau, Mode, or similar - skills are transferable).
  • Some data modeling ability (designing your own tables/aggregations).
  • Solid analytical/statistical fundamentals.
  • Strong communicator who can turn complex data into a clear narrative for technical and non-technical audiences.


Nice to have

  • Python for analysis.
  • Clustering / statistical techniques (e.g. k-means).
  • Ad tech, ad network, or marketing analytics background (CPM vs. CPC fluency).
  • Attribution modeling or more data-science-heavy work.


Details

  • Fully remote, US-based only. Reasonable overlap with US Eastern hours required.
  • Selective, considered hire at a lean, fast-moving, low-bureaucracy company.
Originally posted on LinkedIn

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