Marketing Data Scientist — Analytics & Attribution Lead

Go Fish Digital

United States

À distance

USD 75 000 - 120 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Competitive compensation
Flexible work environment
Medical, dental, vision insurance
Unlimited PTO
401(k) with company match
Life and disability insurance
Parental leave
Autonomy and ownership
Wellness programs

Résumé du poste

Go Fish Digital is seeking a Media and Marketing Data Scientist to gather, analyze, and interpret data across SEO, Paid Media, Digital PR, and CRO. This role will help create a single source of truth (SSOT) data flow from API partner to client dashboards, conduct A/B testing, and develop ML/AI solutions for client needs.

This position blends data foundations with diagnostic analytics and predictive modeling.

Qualifications

  • Bachelor's or Master's in a quantitative field.
  • 0–4 years in data analytics or data science, preferably in digital marketing/agency.
  • Proficiency in SQL and Python.
  • Experience with BI tools: Tableau, PowerBI, Looker Studio.

Responsabilités

  • Data Cleaning across marketing platforms (GA4, CRM, ad networks).
  • Design and implement SSOT data pipelines from disparate sources.
  • Maintain and optimize data warehouses (BigQuery).
  • Develop automated dashboards and visual reports (Looker Studio, Tableau, PowerBI).
  • Translate statistical findings into executive-ready insights.

Connaissances

SQL
Python
Looker Studio
Tableau
PowerBI
Storytelling
Communication

Formation

Bachelor's or Master's in Data Science/Stats/Math/CS/Economics

Outils

BigQuery
GA4
CRM Platforms

Description du poste

Go Fish Digital is seeking a Media and Marketing Data Scientist to gather, analyze, and interpret data across SEO, Paid Media, Digital PR, and CRO. This role will help create a single source of truth (SSOT) data flow from API partner to client dashboards, conduct A/B testing, and develop ML/AI solutions for client needs.

This position blends data foundations with diagnostic analytics and predictive modeling.

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