RevOps Data Analyst - Remote, CRM + AI Prototyping

Skimmer; Clifton (TX); Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Generous medical, dental, and vision

401(k) with company match

Flexible PTO

Remote work friendly

Learning and development budget

Manager dedicated to your development

Job summary

Skimmer, a private equity-backed Austin-based company, seeks a Revenue Operations Analyst to transform messy data into trusted insights. You will own weekly RevOps dashboards, refine CRM data, and collaborate with Finance, Product, and Sales to improve reporting accuracy.

You'll leverage SQL, Snowflake, and BI tools, prototype AI-driven insights, and help scale data models as Skimmer grows through acquisitions and new products, staying focused on customer success and business impact.

Qualifications

• Prior work in revenue operations, business intelligence, or data analytics, ideally with a background in vertical SaaS (experience in the service industry and payment solutions is preferred).
• Proven expertise in SQL, plus experience querying a cloud data warehouse (e.g., Snowflake) and working with modern data transformation workflows (e.g., Proven experience with CRM platforms (e.g., HubSpot or Salesforce), including data structures, field mapping, and data-quality workflows.
• Strong attention to detail and comfort working with both clean, well-defined data sources and raw, messy data.
• Proficiency in a BI or reporting tool (e.g., Sigma, Looker, Tableau, Power BI).
• High emotional intelligence (EQ) and a proven track record of building cross-functional relationships.
• Experience with AI tools such as Claude, Replit, or OpenAI for prototyping and analysis.
• Bonus points: familiarity with GTM reporting, or exposure to finance or accounting reconciliation work.

Responsibilities

• Help run our weekly RevOps KPI dashboards and performance reporting, taking ownership of more of it over time. This covers the go-to-market funnel (marketing, free trial, pipeline, forecast), payments and financial performance, product adoption (including newer add-on products), churn and retention, and customer success/onboarding.
• Support the reporting Finance and Accounting rely on, including revenue-share reporting for partner and referral agreements, reconciliation support, and reporting on our embedded financing products.
• Make our CRM data clean, complete, and automatic.
• Support recurring pipeline and field hygiene audits by standardizing and consolidating fields and helping close known data-quality gaps, including in newer pipelines and product lines.
• Partner with the Product Analyst to bring product usage and adoption data into the CRM, so Customer Success, Sales, and program leaders can see feature adoption, setup, and usage volume.
• Automate manual, spreadsheet-driven processes so CRM data populates on its own instead of through manual uploads.
• Prototype new reporting with AI tools, then work with the Director, RevOps to get it approved and built into our production BI tool.
• Help stand up reporting for go-to-market, finance, and operations areas as they come online.
• Support acquisitions and grow into the data layer.
• Support data matching, migration, and reconciliation for acquisitions, including keeping a clear view of how an acquired business performed on its own versus how it looks inside company-wide numbers.
• Learn our customer and revenue data model, including how customer identity is resolved across systems, and take on more ownership of it over time with the Director's guidance.

Skills

SQL

CRM data modeling

AI prototyping

BI tools

Data analytics

Tools

Snowflake

HubSpot

Salesforce

Looker

Tableau

Power BI

Job description

Skimmer, a private equity-backed Austin-based company, seeks a Revenue Operations Analyst to transform messy data into trusted insights. You will own weekly RevOps dashboards, refine CRM data, and collaborate with Finance, Product, and Sales to improve reporting accuracy.

You'll leverage SQL, Snowflake, and BI tools, prototype AI-driven insights, and help scale data models as Skimmer grows through acquisitions and new products, staying focused on customer success and business impact.