Senior Marketing Analyst

Earnest•San Francisco, CA

1d•Remote

About The Position

Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision. The Senior Marketing Analyst will report to the Senior Manager, Analytics and partner closely with marketing channel managers to measure, grow, and optimize channels. The role owns performance analysis that provides clear visibility into key business and marketing metrics. The analyst will design and run experiments, including incrementality tests, and turn findings into campaign optimization opportunities. They will apply and advance measurement and attribution approaches—including MMM, MTA, and incrementality—and translate findings into clear recommendations for marketing leaders. In partnership with Analytics Engineering, the analyst will build scalable reporting pipelines and data foundations, extracting and organizing data from sources such as the data warehouse, prospect lists, and site traffic databases into usable, well-modeled forms, including dbt models and semantic layers. The role also serves as the go-to data expert for marketing partners, surfacing opportunities for campaign optimization and process improvement and facilitating data-informed decisions.

Requirements

At least 5 years of experience in marketing or growth analytics, with a track record of owning analyses that drive measurable impact and clear business outcomes.
Strong business acumen, intellectual curiosity, and motivation to solve difficult marketing problems in a highly regulated space.
Experience assessing performance and opportunities across Paid, Lifecycle, Direct Mail, and Partnership channels, and understanding how they work together to drive growth.
Fluency in marketing measurement, including attribution methodologies, incrementality testing, funnel analysis, and ROI modeling.
Advanced SQL skills and experience using Python or R for exploratory analysis, modeling, or experimentation.
Hands-on experience with dbt, Snowflake, and Looker or comparable tools, including designing data models and semantic layers.
Experience improving data quality, reliability, definitions, and analytics infrastructure.
Ability to translate complex analyses into clear, actionable insights and influence stakeholders.

Nice To Haves

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, such as ESPs and CDPs, and their data ecosystems.
Experience partnering with senior marketing leaders on annual planning, forecasting, and long-term strategy.

Responsibilities

Partner with marketing channel managers to measure, grow, and optimize channels.
Own performance analysis that provides visibility into key business and marketing metrics.
Design and run experiments, including incrementality tests, and use results to identify campaign optimization opportunities.
Apply and advance measurement and attribution approaches, including MMM, MTA, and incrementality, and communicate recommendations to marketing leaders.
Partner with Analytics Engineering to build scalable reporting pipelines and data foundations.
Extract and organize data from the data warehouse, prospect lists, and site traffic databases into usable, well-modeled forms, including dbt models and semantic layers.
Serve as a data expert for marketing partners, identifying campaign optimization and process improvement opportunities and facilitating data-informed decisions.