SEO Data Analyst, Streaming

Avispa Technology

$114K — $124K *
Media
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in SEO or digital analytics.
  • Familiarity with global SEO performance across multiple markets.
  • Proficient in key analytics tools like Adobe Analytics and Google Search Console.
  • Strong skills in Excel or Google Sheets for data analysis.
  • SQL proficiency for querying large datasets.
  • Experience with APIs for data management.
  • Ability to create and manage dashboards in BI tools like Looker Studio or Tableau.
  • Understanding of technical SEO and emerging AI performance metrics.

Responsibilities

  • Monitor and report on SEO performance for multiple streaming products.
  • Develop and automate dashboards and reporting workflows for stakeholders.
  • Analyze data to evaluate SEO KPIs and market trends across web properties.
  • Support decision-making by leveraging datasets and analytical tools.
  • Collaborate with cross-functional teams to communicate insights and monitor performance.

Benefits

  • Group medical, dental, and vision insurance.
  • Life insurance coverage.
  • Retirement savings program.
  • Paid sick leave (PSL).
  • Onsite work with potential for remote flexibility.
Full Job Description
Job Description


  • Hourly pay: $55-$60/hr (Depends on location)
  • Worksite: Leading digital streaming network (Los Angeles, CA 90069 (preferred), Burbank, CA 91501, or New York, NY 10036 - Onsite)
  • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
  • 40 hours/week, 9 Month Assignment (With possibility of extension)

A leading digital streaming network seeks an SEO Data Analyst, Streaming to support SEO performance analysis and reporting across large-scale streaming platforms.

SEO Data Analyst, Streaming Responsibilities:
  • Monitor, analyze, and report on SEO performance across multiple products, platforms, and third-party data sources by identifying growth opportunities, performance anomalies, competitive trends, and actionable recommendations through recurring and ad hoc analyses.
  • Develop, maintain, and automate dashboards, reports, and reporting workflows using SEO, analytics, and business intelligence tools while creating presentation-ready materials and executive reporting for cross-functional stakeholders.
  • Collect, validate, synthesize, and analyze data from multiple sources to evaluate SEO KPIs, AI search metrics, traffic, rankings, technical SEO performance, keyword opportunities, and market trends across domestic and international web properties.
  • Support forecasting, business modeling, and strategic decision-making by leveraging large datasets, APIs, SQL, Python, and other analytical tools to quantify the impact of SEO initiatives.
  • Partner with SEO, Product, Engineering, Marketing, and Analytics teams to communicate insights, support data-driven decision-making, monitor ongoing site performance, and stay current on SEO, AI search, and digital marketing trends.

SEO Data Analyst, Streaming Qualifications:
  • 5+ years of experience in SEO, digital analytics, marketing analytics, or a related field.
  • Experience analyzing SEO performance for products or brands with a global web presence across multiple markets, locales, or languages.
  • Experience with Adobe Analytics, Google Search Console, and SEO platforms such as Botify, Semrush, Similarweb, or comparable tools.
  • Proficiency with Excel or Google Sheets, including Pivot Tables, VLOOKUP/XLOOKUP, advanced formulas, and large dataset analysis.
  • SQL skills with experience querying and analyzing large datasets.
  • Experience using APIs to retrieve and work with data.
  • Experience creating dashboards using Looker Studio, Tableau, or similar business intelligence platforms.
  • Experience with web crawling tools, automation workflows, and technical SEO performance analysis.
  • Understanding of SEO KPIs, technical SEO metrics, and emerging AI search performance metrics.
  • Experience preparing recurring reports, executive presentations, and presentation-ready materials.
  • Experience using Python or R for marketing analytics, reporting, and data transformation is preferred.
  • Experience measuring performance across AI-powered search platforms is preferred.

Shift:
  • 9:00 AM to 5:00 PM.

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