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The analyst will own analytics across the pre-sales funnel, building scalable reporting to improve pipeline quality and go-to-market decision-making. They will partner with Sales, Marketing, and RevOps to identify conversion gaps and optimize sales performance.
EverCommerce (Nasdaq: EVCM) is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 745,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Its modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals. With its EverPro, EverHealth, and EverWell brands specializing in Home, Health, and Wellness service industries, EverCommerce provides end-to-end business management software, embedded payment acceptance, marketing technology, and customer experience applications. Learn more at EverCommerce.com.
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://www.evercommerce.com/about-us/careers/
EverHealth, a business within EverCommerce, provides modern end-to-end solutions for healthcare providers. Our open, connected ecosystem of solutions and services helps providers engage patients, increase revenue, improve business efficiency, and remain market competitive. We serve 72,000 healthcare practices and counting. EverHealth consists of five SaaS products; DrChrono, iSalus, CollaborateMD, Updox, and MDTec, combined these products offer end to end solutions for the health care industry.
The Pre-Sales Insights Analyst is a key member of EverHealth's Revenue Analytics & Insights team, responsible for owning analytics across the pre-sales funnel from lead through closed-won. Reporting to the Revenue Analytics & Insights Manager, this role partners closely with Sales, Marketing, and RevOps to improve funnel performance, pipeline quality, and go-to-market decision-making.
Supporting four EverHealth product lines (DrChrono, CMD, Updox, and iSalus), the analyst will build scalable reporting and insights around funnel conversion, ICP segmentation, win/loss analysis, and pipeline health. This role transforms fragmented sales data into actionable insights that help leadership identify the best customer segments, improve conversion rates, increase forecast accuracy, and optimize GTM strategy.
Responsibilities
Skills and Experience needed for success in this role:
Preferred
Where:
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 the United States - 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 may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America.
Benefits and Perks:
Compensation:
The target base compensation for this position is $85,000 to $100,000 USD year in most US 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.
EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!
EverCommerce uses approved artificial intelligence (“AI”) tools to support its business operations. Employees are encouraged to use authorized AI tools, when appropriate for their roles, to improve efficiency, quality, and innovation. All AI use must comply with company policies, including requirements concerning confidentiality, data security, intellectual property, accuracy, and human review. Employees remain responsible for reviewing and validating AI-assisted work.
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