SEO Data Lead for Web Analytics & AEO

AVG

Northern, New York (KY, NY)

Hybrid

USD 134,000 - 179,000

Full time

14 days+
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Benefits offered by this job

401(k) match
Health & Wellness benefits
ESP P (Employee Stock Purchase Plan)
Unlimited paid time off
Education reimbursement

Job summary

Gen is seeking a Principal Web Data Specialist to lead analytics for a global portfolio of consumer brands. You will own data pipelines powering SEO, AEO, and content performance.

You'll collaborate with cross-functional teams across US, Europe, and UK, building dashboards in Looker Studio and Power BI, and nudging decisions with data.

Required: 4+ years in analytics roles, strong SQL/BigQuery, and experience shaping data architecture in a digital marketing context.

Qualifications

  • 4+ years in analytics/SEO analytics/digital marketing data roles.
  • Hands-on builder of data infrastructure and reporting systems.
  • Strong SQL and BigQuery skills; able to write complex queries.

Responsibilities

  • Own and evolve data warehousing and reporting infrastructure for SEO/AEO.
  • Lead analytics projects across cross-functional teams and time zones.
  • Build dashboards in Looker Studio, Power BI and Periscope; translate data into decisions.
  • Drive end-to-end analytics projects from architecture to insights.
  • Develop AI/LLM visibility models for content performance.
  • Mentor teammates on analytics best practices.

Skills

BigQuery
SQL
SEO analytics
Data visualization

Education

Bachelor's degree or equivalent experience

Tools

Looker Studio
Power BI
Periscope
Snowflake
GA4
Adobe Analytics
Python or R

Job description

Gen is seeking a Principal Web Data Specialist to lead analytics for a global portfolio of consumer brands. You will own data pipelines powering SEO, AEO, and content performance.

You'll collaborate with cross-functional teams across US, Europe, and UK, building dashboards in Looker Studio and Power BI, and nudging decisions with data.

Required: 4+ years in analytics roles, strong SQL/BigQuery, and experience shaping data architecture in a digital marketing context.

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