Senior Marketing Analyst

Earnest•San Francisco, CA

2d•$134,000 - $167,000•Remote

About The Position

Earnest is seeking a Senior Marketing Analyst to help its marketing team measure, grow, and optimize marketing channels. Reporting to the Senior Manager, Analytics, this role partners with channel managers to deliver performance analysis and visibility into key business and marketing metrics. The analyst designs and runs experiments, including incrementality tests, and turns findings into campaign optimization opportunities and actionable recommendations for marketing leaders. The role advances marketing measurement and attribution approaches, including MMM, MTA, and incrementality. In partnership with Analytics Engineering, the analyst builds scalable reporting pipelines and data foundations by 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 a data expert for marketing partners, identifying campaign optimization and process improvement opportunities and enabling data-informed decisions. This position is remote in the United States. The stated base salary range is $134,000–$167,000 USD. Employees are also eligible for an annual performance-based bonus and equity.

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 these channels 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 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, and own performance analysis that provides visibility into key business and marketing metrics.
Design and run experiments, including incrementality tests, and translate results into campaign optimization opportunities.
Apply and advance measurement and attribution approaches, including MMM, MTA, and incrementality, and communicate clear recommendations to marketing leaders.
Build scalable reporting pipelines and data foundations with Analytics Engineering, organizing data from sources such as the data warehouse, prospect lists, and site traffic databases into well-modeled forms, including dbt models and semantic layers.
Serve as a data expert for marketing partners, surfacing opportunities for campaign optimization and process improvement and facilitating data-informed decisions.