About the company
We are a data-driven marketing team at a fast-growing company that values measurable impact, experimentation, and cross-functional collaboration. The Marketing Analyst (Paid Media Focus) will partner with Growth, Product, and Finance to turn paid media performance into scalable acquisition and revenue outcomes.
Role overview
Own analysis, reporting, and optimization for paid acquisition channels to improve efficiency, scale high-performing campaigns, and inform strategic investment decisions. This role blends hands-on campaign analysis with modeling, attribution, and clear storytelling to stakeholders.
Key responsibilities
- Analyze paid media performance across search, social, display, and programmatic channels to identify trends, opportunities, and risks.
- Build and maintain dashboards and automated reports for CAC, ROAS, LTV, funnel conversion rates, and cohort performance.
- Design and run experiments to test creative, audience, bidding, and landing page variations; measure incremental lift and statistical significance.
- Develop attribution models and contribute to media mix modeling to guide budget allocation and forecasting.
- Translate insights into action by producing clear recommendations for campaign managers, product teams, and leadership.
- Collaborate on tagging and data quality with engineering to ensure accurate tracking and event instrumentation.
- Support forecasting and budget planning with scenario analysis and sensitivity testing.
Required qualifications
- 24+ years experience in marketing analytics, paid media analytics, or performance marketing analytics.
- Strong proficiency with analytics tools (e.g., Google Analytics, GA4, Mixpanel, Amplitude) and paid platforms (Google Ads, Meta Ads Manager, DV360, LinkedIn Ads).
- Advanced Excel skills and experience with SQL for querying event-level data.
- Experience building dashboards in Looker, Tableau, Power BI, or Data Studio.
- Solid understanding of attribution concepts, statistical testing, and basic econometric approaches.
- Excellent communication skills with the ability to present complex analysis in concise, actionable formats.
Preferred qualifications
- Experience in SaaS or e-commerce environments with subscription or repeat-purchase economics.
- Familiarity with server-side tracking, GTM, and data-layer implementation.
- Hands-on experience with Python or R for advanced analysis and modeling.
- Prior exposure to marketing automation and CRM systems (e.g., HubSpot, Braze, Salesforce).
What we offer
- Competitive salary and equity opportunities.
- Flexible remote/hybrid work policy and generous PTO.
- Professional development budget and mentorship.
- Health benefits and a collaborative, metrics-driven culture.
