Sr. Data Analyst, Revenue Operations

Location: This role is preferably hybrid in-office at one of Impel's locations — Syracuse, NY;
New York, NY;
Burlington, VT; or Salt Lake City, UT. Remote will be considered depending on candidate location and experience.

We're looking for a technically strong analyst to own how revenue data is structured, modeled, and trusted across the business. You'll work hands‑on in Salesforce, SQL, and Snowflake to turn messy, multi‑system data into accurate enterprise‑wide reporting. This is a data and systems role at its core — you'll partner with Finance and Revenue Operations on KPI definitions, but the technical depth is on you.

• Structure and model data across Salesforce, Snowflake, and source systems (including Sage and ADP) to enable accurate, enterprise‑wide reporting.
• Map, extract, and document complex Salesforce data — standard and custom objects — to support reliable, reusable reporting frameworks.
• Build and maintain scalable Snowflake schemas that support analytics across the full customer lifecycle.
• Partner with Finance and Rev Ops to operationalize key SaaS metrics like ARR, NRR, retention, pipeline, and bookings.
• Establish documentation, definitions, and QA checks that make people trust the numbers.
• Build clear dashboards that help leaders monitor performance and act quickly.
• Support Deals Desk and system admins on complex deal structures to keep data accurate and usable.
• Apply modern AI tools to accelerate analysis, documentation, and SQL development.

• 5–8 years in revenue operations, data analytics, business intelligence, or a related technical role.
• Advanced SQL, including writing and optimizing complex queries in Snowflake or a similar cloud data warehouse.
• Strong, hands‑on understanding of Salesforce data structures, custom objects, and CRM workflows — Salesforce admin experience is a major plus.
• Experience pulling and reconciling data across multiple systems (CRM, ERP/finance, HR platforms).
• Experience modeling SaaS revenue, pipeline, or retention metrics.
• Strong communication skills — you can explain technical challenges and trade‑offs clearly to non‑technical stakeholders.

• Familiarity with modern data stack tools (dbt, Fivetran, or similar).
• Experience with AI tools, such as Claude, for analysis.
• Prior B2B SaaS or high‑growth tech experience.