Senior Marketing Analyst

Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together. 

• Partner closely with marketing channel managers to measure, grow, and optimize their channels, owning performance analysis that gives clear visibility into key business and marketing metrics.
• Design and run experiments, including incrementality tests, that deliver learnings quickly and scalably, and turn the results into campaign optimization opportunities.
• Apply and advance measurement and attribution approaches (MMM, MTA, incrementality) with confidence, and translate the findings into clear recommendations for marketing leaders.
• Build scalable reporting pipelines and data foundations in partnership with Analytics Engineering, extracting and organizing data from sources like the data warehouse, prospect lists, and site traffic databases into usable, well-modeled form (dbt models, semantic layers).
• Serve as the go-to data expert for marketing partners, using critical thinking and creativity to surface opportunities for campaign optimization and process improvement, and facilitating data-informed decisions.

• You bring 5+ years of experience in marketing or growth analytics, with a track record of owning analyses that drive measurable impact and clear business outcomes.
• You have strong business acumen, are intellectually curious, and are motivated to solve difficult marketing problems in a highly regulated space.
• You have solid experience assessing performance and opportunities across Paid, Lifecycle, Direct Mail, and Partnership channels, and understand how they work together to drive growth.
• You are fluent in marketing measurement, including attribution methodologies, incrementally testing, funnel analysis, and ROI modeling.
• You have advanced SQL skills and experience using Python or R for exploratory analysis, modeling, or experimentation.
• You have hands-on experience with dbt, Snowflake, and Looker (or comparable tools), including designing data models and semantic layers.
• You care about data quality and have experience improving data reliability, definitions, and analytics infrastructure.
• You translate complex analyses into clear, actionable insights and are comfortable influencing stakeholders.

• Experience working in the financial services industry
• Experience working closely with data platform teams to improve marketing data models and tracking.
• Familiarity with martech platforms and tools (ESPs, CDPs, etc.) and their data ecosystems.
• Experience partnering with senior marketing leaders on annual planning, forecasting, and long-term strategy.

• This role will be remote in the US. 

At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other:

• Every Second Counts: Speed is our competitive advantage. Our customers need better solutions, and the faster we execute, the greater our chance of success.
• Choose To Do Hard Things: We win by tackling the hard things that others avoid, fueled by grit and resilience.
• Pursue Excellence: Great companies, teams, and individuals never settle and are proud of the work that they do. What’s good enough today won’t be good enough tomorrow. Excellence isn’t a destination; it’s a mindset of continuous improvement.
• Lead Together: Our success comes from how we work together. Leadership is not about titles—it is about action. We take ownership, drive results, and move forward as a team.
• Don’t Take Yourself Too Seriously: We take our work seriously, not ourselves. The stakes are high, but a sense of humor keeps us grounded, creative, and resilient.

Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.