Revenue Operations Analyst — Evlo AI, New York, NY

About The Role

The role sits at the center of revenue operations: owning the systems, data pipelines, and analytics that connect marketing, sales, and customer success into one measurable funnel.

You will maintain and improve the go-to-market tech stack (CRM, marketing automation, enrichment, BI), build reliable reporting on pipeline and forecast health, and translate operational friction into process and tooling changes.

Key Responsibilities

• Build and maintain pipeline, forecast, and rep-productivity dashboards in Looker, Tableau, or SQL-based BI tools

• Administer and optimize the CRM (Salesforce) — objects, validation rules, flows, and permission sets — and partner with RevOps engineering on larger automations

• Own data hygiene across lead-to-revenue systems: deduplication, enrichment (Clearbit, ZoomInfo), and territory/account assignment logic

• Partner with Finance on bookings, quota attainment, and commission reporting; reconcile CRM data against the GL

• Design and document sales processes — lead routing, stage definitions, deal reviews — and drive adoption with sales leadership

• Evaluate, implement, and administer GTM tools (HubSpot/Marketo, Gong, Outreach, Clari) including vendor onboarding and license management

• Surface insights and risks to leadership through weekly pipeline reviews and quarterly business reviews

What We Are Looking For

• 3-6 years in revenue operations, sales operations, business analysis, or a comparable analytics-heavy role

• Hands-on Salesforce administration experience (flows, reports, dashboards); Salesforce Admin certification a plus

• Strong SQL skills and comfort building analyses from raw CRM and product data

• Experience with marketing automation and sales engagement platforms (Marketo, HubSpot, Outreach, or similar)

• Track record of shipping process or tooling changes with measurable impact on pipeline velocity or forecast accuracy

• Clear communicator who can work across sales, finance, and data teams and push back with data when needed

• Bonus: Python or dbt for pipeline automation, CPQ experience, experience supporting ARR reporting or SaaS metrics (NRR, CAC payback)