Responsibilities

• Own reporting and analysis across paid channels, including paid search, paid social, display, video, and programmatic, providing a holistic view of how channels perform in tandem.
• Analyze performance metrics such as CTR, CPC, CPA, conversion rate, ROAS, and pacing to diagnose root causes of trends and identify optimization opportunities.
• Provide optimization recommendations and actionable insights to channel leads based on performance data, including budget allocation and bid-strategy guidance.
• Deliver performance projections and budget recommendations at multiple levels, including account, market, campaign, channel, and product line.
• Support QA of tracking, tagging, pixel implementation, and landing-page measurement to ensure data accuracy.
• Analyze the full-funnel impact of paid media, connecting spend and channel performance through to pipeline and revenue.
• Support media mix analysis, attribution, and incrementality testing to assess true contribution and guide investment decisions.
• Design and maintain dashboards and reporting frameworks that communicate the impact of paid media on overall business KPIs.
• Translate business questions into structured analyses, testing plans, and clear recommendations.
• Deliver compelling data stories and present findings and recommendations to non-technical audiences and senior stakeholders.

Requirements

• 8+ years of experience in paid media, performance marketing, digital marketing analytics, marketing analytics, or related roles.
• Strong hands-on experience analyzing and optimizing paid media campaigns across channels such as paid search, paid social, display, video, or programmatic.
• Advanced knowledge of media platforms such as Google Ads, Microsoft Advertising, Meta/Facebook Business Manager, LinkedIn, and DSPs.
• Strong analytical skills and comfort working with data to assess performance, diagnose issues, and make recommendations.
• Proficiency with analytics and visualization tools such as Google Analytics, Tableau, Looker, Power BI, and advanced Excel.
• Strong understanding of media metrics and measurement concepts, including CPA, ROAS, attribution, incrementality, sample size, and statistical significance.
• Ability to translate business questions into testable hypotheses, structured analyses, and actionable insights.
• Strong communication skills, with the ability to convey complex performance data clearly to non-technical and senior stakeholders.

Preferred

• Experience in B2B SaaS, technology, fintech, compliance, data, or enterprise software.
• Experience supporting both digital-led and sales-assisted go-to-market motions.
• Familiarity with SQL, Python, or R for data extraction and analysis.
• Experience with media mix modeling, multi-touch attribution, or incrementality testing.
• Experience using AI-enabled media tools, automated bidding, or predictive audience and decisioning capabilities.
• Relevant certifications such as Google Ads, Google Analytics, or Meta Blueprint.
• Experience creating measurement playbooks, testing frameworks, documentation standards, or training materials.