Revenue Operations Analyst, Reporting & Data
New
S
SkimmerVertical SaaS
Remote employees in the following states: Alabama, California, Florida, Georgia, Illinois, Indiana, Kansas, Kentucky, Michigan, North Carolina, Ohio, Oregon, Rhode Island, Tennessee, Texas, and Virginia.Full-Time
SalaryCompetitive base pay + bonus potential
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Job Details
- Required Skills
- SQLMicrosoft Power BISalesforceSnowflakeTableauHubSpotdbtLooker
Requirements
- Prior experience in revenue operations, business intelligence, or data analytics.
- Proven expertise in SQL.
- Experience querying a cloud data warehouse, such as Snowflake.
- Experience with modern data transformation workflows, such as dbt.
- Experience with CRM platforms such as HubSpot or Salesforce, including data structures, field mapping, and data-quality workflows.
- Ability to support recurring production reporting from export and build through QA and publication for stakeholders, including executives.
- Strong attention to detail and comfort working with both well-defined and raw, messy data.
- Proficiency in a BI or reporting tool such as Sigma, Looker, Tableau, or Power BI.
- Experience using AI tools such as Claude, Replit, or OpenAI for prototyping and analysis.
- Ability to build cross-functional relationships and high emotional intelligence.
- Vertical SaaS experience is ideal; service-industry and payment-solutions experience is preferred.
- Familiarity with go-to-market reporting or exposure to finance or accounting reconciliation work is a bonus.
Responsibilities
- Help run weekly RevOps KPI dashboards and performance reporting across the go-to-market funnel, payments and financial performance, product adoption, churn and retention, and customer success and onboarding.
- Support Finance and Accounting reporting, including revenue-share reporting, reconciliation support, and reporting on embedded financing products.
- Answer ad hoc reporting requests from executives, program leaders, and other stakeholders.
- Support recurring pipeline and field-hygiene audits by standardizing and consolidating CRM fields and addressing data-quality gaps.
- Partner with the Product Analyst to bring product usage and adoption data into the CRM.
- Automate spreadsheet-driven processes so CRM data populates without manual uploads.
- Prototype reporting with AI tools and work with the Director, RevOps, to approve and build it into the production BI tool.
- Help establish reporting for go-to-market, finance, and operations areas.
- Support acquisition data matching, migration, and reconciliation, distinguishing acquired-business performance from company-wide results.
- Learn the customer and revenue data model, including how customer identity is resolved across systems, and take on more ownership over time.
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