Senior Marketing Analyst

WellyBox is a fast-growing SaaS platform with 400% YoY growth, trusted by over 100,000 businesses worldwide. Our AI autonomously collects, analyzes, and organizes receipts and financial documents from emails and digital channels, eliminating manual document handling and streamlining financial workflows at scale.

We're looking for an ambitious Senior Product Manager to lead our product end-to-end and drive our scale to the next phase of hypergrowth.

About the Role

We are looking for an experienced Marketing Analyst to join our team and help drive data-informed decisions across user acquisition and growth initiatives. In this role, you will analyze performance, build scalable analytics solutions, and deliver actionable insights that directly impact business outcomes.

Responsibilities

• Analyze user acquisition performance across paid and organic channels (e.g. paid social, search, affiliates, partnerships).
• Build, maintain and optimize attribution models
• Build, maintain and optimize dashboards and reports in Looker or other data visualization tools.
•  Work with large datasets in Snowflake, writing efficient SQL queries to support analysis and reporting.
•  Design and maintain end-to-end marketing analytics pipelines, from raw data to business insights.
•  Track and analyze key metrics such as CAC, LTV, ROAS, retention, funnel conversion, and cohort performance.
• Partner with the Marketing team to evaluate experiments, campaigns, and channel effectiveness.
• Identify trends, anomalies, and growth opportunities through deep data exploration.
• Ensure data accuracy, consistency, and best practices across marketing analytics.

Requirements

• 4+ years of experience in marketing analytics, growth analytics, or user acquisition analytics.
• Strong hands-on experience with user acquisition data and performance marketing metrics.
• Proven experience building dashboards and reports in Looker or other data visualization tools.
• Solid experience working with Snowflake as a data warehouse.
• SQL skills for data analysis and transformation.
• Strong analytical thinking with the ability to translate data into clear business recommendations.