Data Analyst - (B2B SaaS - Revenue Operations)

Skimmer, Austin +2

The role

We are currently #615 on the Inc. 5000 list of fastest-growing companies (#74 in Texas and #63 in Software!), on the Deloitte Fast 500, one of Built In Austin's Best Startups, ABJ's 6th Fastest Growing Company, and most importantly one of Austin's Best Places for Working Parents for the last 5 years. Our eNPS score is consistently over 60; you will also be joining a company with a collaborative culture, focus on customers, and emphasis on having a good time together.

What you need

About you

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.

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.

What you bring

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.

Data Analyst - (B2B SaaS - Revenue Operations)

The role

Data Analyst - (B2B SaaS - Revenue Operations)

The role

What you need

About you

What you bring

Keep the business running on trusted reporting

Make our crm Data clean, complete, and automatic

Build what's next

Support acquisitions and grow into the Data layer

Pay and benefits

About Skimmer

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