Campaign Data Engineer: Targeting & Analytics Expert

Google Operations Center

Chicago (IL)

On-site

USD 110,000 - 135,000

Full time

6 days ago
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Benefits offered by this job

Health care (medical, dental, vision)
Onsite meals and snacks
Parental leave and other benefits

Job summary

Google Operations Center is seeking a Data Specialist to own data pipelines and audience targeting for email marketing campaigns managed by the Ads Campaign Operations team. You will build and maintain SQL pipelines, validate audiences, and collaborate with analytics to ensure campaign health and effective setup.

The role requires deep SQL skills, experience with data visualization tools, and the ability to present data-driven insights to both technical and non-technical stakeholders.

Qualifications

  • 5+ years of experience with SQL and data pipeline building.
  • Comma-separated complex SQL for targeting.
  • Experience with data visualization tools.

Responsibilities

  • Collaborate with stakeholders to manage audience signals and target audiences in campaigns.
  • Create, manage, and validate campaign audiences using SQL scripting.
  • Collaborate with analytics teams on experiment setup and feasibility of implementation.
  • Maintain and operate data pipelines and implement efficiency improvements.
  • Communicate campaign performance results and create dashboards for marketers.
  • Build relationships with stakeholders and explain technical data to non-technical teams.
  • Serve as data availability SME for marketing campaigns.

Skills

SQL
Data pipelines
Code libraries
Data visualization

Tools

Tableau
Looker
PLX/Data Studio
GitHub

Job description

Google Operations Center is seeking a Data Specialist to own data pipelines and audience targeting for email marketing campaigns managed by the Ads Campaign Operations team. You will build and maintain SQL pipelines, validate audiences, and collaborate with analytics to ensure campaign health and effective setup.

The role requires deep SQL skills, experience with data visualization tools, and the ability to present data-driven insights to both technical and non-technical stakeholders.

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