Lead Analyst, User Analytics & Insights (Performance Marketing)

fetch; United States; Remote; USD 149,000 - 175,000; Full time

Job summary

Fetch is seeking a Lead Analyst, Performance Marketing Analytics within Expanded Core to partner with performance marketing, measure effectiveness, diagnose trends, and translate data into actionable recommendations to improve acquisition efficiency and long-term value.

This hands-on role reports to the Manager of User Analytics & Insights and requires strong analytical depth to tackle ambiguous marketing questions. The position can be based in a US office or remote within the United States.

Qualifications

• 7+ years in analytics or a related quantitative field.
• Hands-on experience supporting performance marketing analytics.
• Advanced SQL; Python or R for analysis.
• Strong metrics knowledge including CAC, ROAS, LTV.
• Experience with MMM and MTA.
• Experience with experimentation and A/B testing.
• Experience analyzing large-scale datasets.
• Exposure to segmentation, predictive modelling, or causal inference.
• Strong data visualization and storytelling with Hex/Tableau/Looker/Grafana.
• Ability to translate findings into actionable recommendations and influence stakeholders.

Responsibilities

• Serve as senior analytical partner to Performance Marketing, Growth, Finance, and adjacent teams.
• Analyze performance across CAC, ROAS, LTV, conversion, retention, and downstream revenue.
• Diagnose changes in acquisition performance and drivers across channel mix and audience.
• Support decisions around channel strategy, targeting, bidding, and budget allocation via analysis.
• Identify opportunities to improve marketing efficiency and quantify impact.
• Develop deep-dive analyses explaining why performance changes and actions needed.
• Design, execute, and analyze A/B tests, holdouts, lift studies, and incrementality tests.
• Apply statistics when experiments aren't possible and improve measurement approaches.
• Communicate limitations, trade-offs, and confidence levels clearly.
• Translate findings into persuasive business narratives and recommended steps.
• Present insights to senior stakeholders and influence decisions.
• Mentor junior analysts and share best practices.

Skills

SQL

Python

R

MMM/MTA

A/B Testing

Data Visualization

Stakeholder Communication

Big Data Analysis

Causal Inference

Marketing Analytics

Tools

dbt

Git/GitHub

Looker

Grafana

Tableau

Hex

Job description

About the Role:

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.

Role Responsibilities:

Performance Marketing Analytics

• 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.

Experimentation & Measurement

• 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.

Data & Storytelling

• 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

Compensation:

At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $148,723-$174,968. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.