EverPro - Growth Data Analyst

EverPro - Growth Data Analyst

At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 725,000+ customers. As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Wellness industries.

We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://careers.evercommerce.com/us/en

EverPro, a business within EverCommerce, provides software and solutions designed to help home and field service businesses run and grow their companies with greater efficiency and confidence. EverPro brings together purpose-built tools across key trades—including field service, remodeling and roofing, landscaping, and pest and lawn—so service professionals can manage operations, engage customers, and drive long-term growth.

Our solutions support the full lifecycle of running a service business, from scheduling and dispatching work, to estimating, invoicing, and payments, to customer communication, reputation management, and business insights. Together, these connected solutions help service pros win more jobs, save time, and build stronger, more resilient businesses.

The Invoicing vertical withinEverProfocuses on business management and payments solutions for small service businesses through our Invoice Simple and Joist products. These solutions help service professionals efficiently manage their business finances, from creating estimates and invoices to processing payments and tracking jobs. Our products serve hundreds of thousands offreelancers, soloentrepreneursand microbusinesses across hundreds of industriesacross multiple geographies.

We’re looking for aGrowth Data Analystto build and own the foundation of our marketing analytics ecosystem for Invoice Simple and Joist. This role will establish a single source of truth for marketing performance data and build the reporting and forecasting tools that enable effective planning and spend optimization.

You’ll work closely with our Growth, Marketing, and Finance teams to connect data across channels, create clear performance visibility, and generate insights that guide acquisition and retention investments.

Responsibilities:

Marketing Data Infrastructure & Source of Truth

• 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.

Reporting & Tooling

• 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.

Performance Analytics & Insights

• Analyze acquisition efficiency, CAC trends, and channel mix performance.

• Identify data-driven opportunities to improve marketing ROI.

• Partner with Finance to reconcile spend and revenue and ensure data alignment.

• In later stages, expand analysis to campaign effectiveness, LTV, and retention modeling.

Strategic Partnership:

• Participateactively in growth strategy development and planning sessions.

• Providedata-driven insights to shape strategic direction.

• Partner with Growth Lead on strategic decision making.

• Identifyopportunities for growth optimization through analytics.

• Guide strategic resource allocation based on performance data.

Skills and Experience needed for success in this role:

• 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).

Personal Characteristics:

• Analytical, detail-oriented, and motivated to build things from scratch.

• Comfortable moving between high-level insights and hands-on SQL debugging.

• Curious and proactive — you don’t wait for direction to identify improvement opportunities.

• Strong communicator who can translate data into clear, concise narratives for non-technical partners.

Where: Remote, Ontario/Canada

The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in Canada – if you’re close to one of our offices, we can set you up in-office or you can work 100% remotely. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role will require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America.

Benefits & Perks:

• 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 

Compensation:The target base compensation for this positionis$100,000 - $120,000CAD per yearin most Canada locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above