> Markdown version of [/jobs/ext/4481798-data-analyst-revenue-operations](https://www.wearedevelopers.com/jobs/ext/4481798-data-analyst-revenue-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - (Revenue Operations) - **Company:** Skimmer, Inc. - **Location:** Austin, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, Spreadsheets, Software as a Service, Customer Data Management, Data Transformation, Data Structures, Power BI, OpenAI, Salesforce.Com, SQL Databases, Tableau (Software), Snowflake, Data Layers, Data Analytics, Performance Monitor, Tools for Reporting, Claude, Hubspot, Looker Analytics - **Published:** October 15, 2026 - **Apply:** https://startup.jobs/data-analyst-revenue-operations-getskimmer-com-10452239 ## About the Role You love turning messy data into numbers people can trust, and you're energized by the idea that your reports are what leaders use to make decisions every week. You're strong in SQL, at home in a CRM, and you already use AI tools to prototype and analyze faster., * 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., dbt). * Proven experience with CRM platforms (e.g., HubSpot or Salesforce), including data structures, field mapping, and data-quality workflows. * Outstanding ability to support a recurring production reporting process (export, build, QA, publish) where real stakeholders, including executives, see the results. * 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. ## Description You'll report to the Director, Revenue Operations, and work closely with program leaders, the executive team, and your teammates. To start, you'll help keep our standing reports accurate and on time while closing the data-quality gaps that make reporting harder. As you learn our data model, you'll take on more of the recurring reporting work, with the goal of owning specific reports yourself. This role suits someone who wants to grow, because it's built to expand as you do. Our data footprint keeps getting bigger with new products, acquisitions, and leadership reporting, so there will be no shortage of interesting problems., * 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. * Answer ad hoc requests from the executive team, program leaders, and other stakeholders., * 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. Build what's next * 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.