Lead Analyst, User Analytics & Insights (Performance Marketing)

Fetch•Remote,

2d•$148,723 - $174,968•Remote

About The Position

As the Lead Analyst, Performance Marketing Analytics within Expanded Core, you will serve as a senior analytical partner to our performance and paid marketing teams. Reporting to the Manager of User Analytics & Insights, you will help evaluate marketing effectiveness, diagnose performance trends, and translate data into recommendations that improve acquisition efficiency, customer quality, and long-term business value. This is a highly hands-on individual contributor role requiring strong analytical depth, business judgment, and the ability to independently tackle ambiguous performance marketing questions. You will partner closely with Marketing and cross-functional teams to improve measurement, experimentation, reporting, and decision-making across user acquisition. This is a full-time role that can be held from one of our US offices or remotely in the United States.

Requirements

7+ years of experience in analytics, marketing analytics, growth analytics, data science, or a related quantitative field.
Significant hands-on experience supporting performance marketing or paid media.
Advanced proficiency in SQL and experience using Python or R for analysis.
Strong understanding of performance marketing metrics including CAC, ROAS, LTV, conversion, and retention.
Experience with Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA).
Experience with experimentation, incrementality measurement, and A/B testing.
Experience analyzing large-scale user-, campaign-, and conversion-level datasets.
Exposure to customer segmentation, predictive modeling, propensity modeling, lifetime value analysis, or causal inference techniques.
Strong data visualization and storytelling skills, with experience using tools such as Hex, Tableau, Looker, or Grafana.
Proven ability to take ambiguous business questions, define an analytical approach, and translate findings into actionable recommendations.
Demonstrated ability to influence cross-functional stakeholders and communicate complex analytical concepts to non-technical audiences.
Strong analytical storytelling and presentation skills.

Nice To Haves

Experience with causal inference or advanced marketing measurement techniques.
Familiarity with major paid media ecosystems such as Meta, Google, TikTok, Apple Search Ads, or programmatic advertising.
Experience with mobile app or digital consumer acquisition.
Familiarity with dbt, Git/GitHub, and modern analytics engineering workflows.
Experience working in a fast-paced consumer, marketplace, gaming, or e-commerce environment.

Responsibilities

Serve as a senior analytical partner to Performance Marketing, Growth, Finance, and adjacent business teams.
Analyze performance across key metrics including CAC, ROAS, LTV, conversion, retention, and downstream revenue.
Diagnose changes in acquisition performance, identifying drivers across channel mix, media efficiency, audience composition, user quality, seasonality, and broader market dynamics.
Support decisions around channel strategy, audience targeting, bidding, and budget allocation through rigorous analysis.
Proactively identify opportunities to improve marketing efficiency and quantify expected business impact.
Develop deep-dive analyses that move beyond reporting to explain why performance is changing and what actions should be taken.
Partner with Marketing on the design, execution, and analysis of A/B tests, holdouts, lift studies, and other incrementality tests.
Apply appropriate statistical and analytical methods to evaluate marketing effectiveness when direct experimentation is not possible.
Help improve measurement approaches across paid acquisition, balancing rigor, speed, and business needs.
Evaluate performance across multiple measurement methodologies and clearly communicate limitations, trade-offs, and confidence levels.
Use SQL, Python, and visualization tools to independently conduct complex analyses across user-, campaign-, and event-level datasets.
Build and maintain scalable reporting and analytical frameworks that provide clear visibility into marketing performance.
Partner with Analytics Engineering and Data Science to improve data quality, measurement inputs, and reusable analytics infrastructure.
Translate complex analytical findings into clear, persuasive business narratives and recommended next steps.
Present insights to senior stakeholders and influence decisions through a strong understanding of both the data and the underlying business.
Mentor junior analysts and contribute to best practices across the analytics team.