Growth Data Analyst

November 5

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EverCommerce

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SaaS • B2B • eCommerce

EverCommerce is the leading service commerce platform, providing vertically-tailored, integrated SaaS solutions to over 500,000 global service-based businesses. Established in 2016, EverCommerce offers software solutions that help businesses market their services, streamline day-to-day operations, and enhance customer engagement. The company specializes in powering the service economy with digital transformation across multiple industries, including Home & Field Services, Health Services, and Fitness & Wellness. EverCommerce's technology aims to accelerate growth, improve operations, and increase retention for small and medium-sized businesses, transforming the way they interact with customers through modern digital and mobile applications.

1001 - 5000 employees

Founded 2016

☁️ SaaS

🤝 B2B

🛍️ eCommerce

💰 Private Equity Round on 2019-07

📋 Description

• Build and maintain a unified, reliable dataset for marketing performance metrics (spend, leads, subscriptions, revenue) • Partner with Data Engineering to design and QA pipelines that connect ad platforms, CDP, and subscription data • Define marketing taxonomy and naming conventions to ensure data consistency across tools • Build self-serve dashboards for spend, ROI, and funnel performance using Looker or equivalent BI tools • Develop frameworks for forecasting and budgeting marketing spend and expected ROI • Support leadership with recurring marketing performance reviews and ad-hoc analyses • Analyze acquisition efficiency, CAC trends, and channel mix performance • Partner with Finance to reconcile spend and revenue and ensure data alignment • Participate actively in growth strategy development and planning sessions

🎯 Requirements

• 4+ years of experience in marketing or growth analytics, preferably in a SaaS or consumer app environment • Strong SQL skills and experience building datasets for performance reporting • Experience working with marketing data (Google Ads, Meta, Apple Search Ads, etc.) and integrating with BI tools • Proficiency in data visualization (Looker, Tableau, Power BI) • Strong understanding of acquisition funnels, attribution, and unit economics (CAC, payback, LTV) • Ability to translate messy, complex data into actionable insights and scalable tools • Experience collaborating with cross-functional teams (Marketing, Finance, Data Engineering)

🏖️ Benefits

• Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid • Robust wellness benefits, including an annual wellness stipend • Flexible and generous (FTO) time-off • Employee Stock Purchase Program • Registered Retirement Savings Plan (RRSP) with 4% company match • Continued investment in your professional development