SEO Data Analyst, Streaming

Responsibilities

• Monitor and analyze SEO performance for assigned product lines or business areas, identifying opportunities for organic growth and surfacing anomalies.
• Analyze SEO performance data across multiple platforms and 3rd party SEO data sources.
• Prepare recurring (weekly, monthly, quarterly) SEO performance reports and translate findings into actionable recommendations for cross-functional partners.
• Pull, validate, and synthesize data from multiple sources to support SEO analysis and reporting needs.
• Create and maintain dashboards to monitor core SEO KPIs and emerging AI search metrics.
• Conduct deep-dive analyses to identify trends, anomalies, and opportunities across traffic, rankings, and technical SEO performance.
• Track competitive landscape and conduct market analysis to identify search trends, performance gaps, and opportunities across priority keywords and content areas.
• Support forecasting and develop data-driven models to quantify the potential business impact of SEO initiatives, helping inform prioritization and strategic decision-making.
• Develop and maintain automated reporting workflows using APIs, SQL, and Python, where applicable.
• Assist in the creation of presentations and reporting materials, including PowerPoint decks for stakeholders.
• Monitor ongoing site performance across analytics platforms, crawls, alerts, and search tools.
• Support ad hoc data requests and analysis related to SEO initiatives.
• Keep pace with SEO, analytics, and digital marketing industry trends and developments, including AI-driven search changes.

Qualifications

• Strong understanding of SEO KPIs and performance metrics, including familiarity with emerging AI search metrics.
• Hands-on experience with Adobe Analytics, Google Search Console, and SEO tools such as Botify, Semrush, and Similar Web.
• Have exposure to this will be an easier job for them.
• Strong skills in Excel or Google Sheets (pivot tables, VLOOKUP/XLOOKUP, advanced formulas).
• Experience using Python or R for marketing analytics and reporting (data extraction, transformation, and analysis).
• Intermediate SQL skills, with experience querying large datasets.
• Familiarity with dashboarding tools such as Looker Studio, Tableau, or similar platforms.
• Experience working with web crawling, scraping tools, and automation workflows.
• Strong analytical skills with the ability to interpret complex datasets and translate findings into actionable insights.
• Strong understanding of SEO concepts and ability to analyze related data outputs.
• Comfortable storytelling with data and communicating insights to both technical and non-technical stakeholders.
• Passion and curiosity for SEO, data, and the evolving search landscape.