Staff Marketing Analytics Analyst

Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision.

As the Staff Marketing Analyst, you will:

• Partner closely with Marketing and Partnerships to shape budget allocation, channel mix, and campaign strategy through proactive, data-driven insights.
• Own performance analytics across lifecycle, direct mail, paid, and partnership channels—deeply understanding what’s working, why, and where to optimize.
• Define and evolve marketing measurement frameworks, including attribution methodologies, incrementality testing, and ROI modeling to better understand channel effectiveness.
• Build and maintain clear, actionable dashboards and KPIs that connect marketing efforts to conversion, growth, and efficiency outcomes—while continuously improving data quality and trust.
• Drive improvements to the marketing analytics data foundation, ensuring datasets, definitions, and pipelines are reliable, scalable, and well-documented.
• Partner with Data Engineering and Analytics Engineering to improve data models, tracking, and instrumentation that power marketing insights.
• Act as a thought partner to marketing leadership, influencing strategy through deep analysis and a strong point of view grounded in data.
• Enable the broader marketing team to self-serve analytics by improving tooling, documentation, and training on dashboards and data best practices.
• Own and improve marketing analytics and MarTech Ops tooling (e.g., Braze and related platforms), focusing on scalability, automation, and usability.

About You: 

• You bring 8+ years of experience in marketing or growth analytics, with deep expertise in performance marketing, MarTech Ops, and a track record of influencing strategy at a senior level.
• You have strong intuition and experience with channel mix optimization across lifecycle, acquisition, and partnerships, and understand how these levers work together to drive growth.
• You are highly fluent in marketing measurement, including attribution methodologies, incrementality testing, funnel analysis, and ROI modeling.
• You have strong technical skills in SQL and experience using Python or R to perform advanced analysis, build models, or support experimentation.
• You care deeply about data quality and have experience improving data reliability, definitions, and analytics infrastructure.
• You excel at translating complex analyses into clear, actionable insights and are comfortable influencing senior stakeholders.
• You are passionate about enabling others—whether through building intuitive dashboards, improving documentation, or training business partners to self-serve analytics

Even Better:

• Experience partnering with senior marketing leaders on annual planning, forecasting, and long-term strategy.
• Experience working closely with data platform teams to improve marketing data models and tracking.
• Familiarity with lifecycle marketing platforms (e.g., Braze) and their data ecosystems.
• Experience designing and interpreting experiments, including incrementality and lift testing in performance marketing.