Analyze paid marketing campaign performance and web behavior data across various channels (e.g., Google Ads, Meta Ads, Affiliate) and surfaces (e.g., website, AEO referrals) to identify trends, opportunities for optimization, and areas for improvement in the full marketing and web funnel.
Develop and maintain key reporting dashboards and analyses in our data visualization tools (e.g., Looker) to provide teams with timely and actionable insights into campaign performance, ROI, web engagement, conversion rates, and other key metrics.
Conduct in-depth quantitative research and build forecasting and performance models to support strategic planning, budget allocation for paid marketing initiatives, and prioritization of AEO and web strategy projects (e.g., CRO tests, web personalization, AEO content and experience investments).
Collaborate closely with Marketing stakeholders and Analytics Engineers to define data requirements, develop data infrastructure, and ensure accurate and efficient reporting for both acquisition and on-site performance.
Communicate findings and data-driven recommendations to stakeholders and leadership with a clear point of view, enabling them to make informed decisions about investment, experimentation, and strategy across channels and the website.
Become a go-to expert on paid marketing, web performance/tracking, and AEO-related data, educating teams on best practices for data analysis and interpretation, including how to measure AEO impact and web conversion performance.
Proactively identify opportunities to improve data quality, reporting processes, and analytical capabilities across the Paid Marketing and Web/AEO strategy domains, including integrating new data sources for AEO and web measurement where needed.
Coordinate with stakeholders across Product, Finance, Marketing, Sales, and Customer Success to ensure data is accessible and metrics are well-defined, relevant, and actionable.

Requirements

3+ years of experience in a data analyst role with a strong focus on Marketing Analytics, preferably but not required to have direct exposure to paid acquisition data.
Demonstrated experience using data to influence business decisions and drive measurable results in a marketing context.
Advanced proficiency in SQL for data extraction, transformation, and analysis (experience with Snowflake SQL is a plus).
Strong hands-on experience with Business Intelligence and data visualization tools (experience with Looker is highly preferred).
Excellent analytical, problem-solving, and project management skills.
Strong communication and presentation skills with the ability to convey complex data insights to both technical and non-technical audiences.
Proven ability to collaborate effectively with cross-functional teams (Marketing, Finance, ProdOps).
A proactive and curious mindset with a desire to continuously learn and improve.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analysismarketing analyticsSQLdata extractiondata transformationdata visualizationforecasting modelsperformance modelsCRO testsweb personalization

Soft skills

analytical skillsproblem-solvingproject managementcommunication skillspresentation skillscollaborationproactive mindsetcuriosityinfluencing decisionseducating teams