Business Analyst — Austin, TX

About The Role

The Business Analyst sits at the intersection of revenue operations, data, and business process — translating messy operational questions into clean data models, dashboards, and recommendations that leadership actually acts on.

The role matters because growth-stage decisions get made weekly: territory design, quota setting, pipeline forecasting, tooling investments. This person owns the analysis and systems knowledge that make those decisions rigorous instead of anecdotal.

Key Responsibilities

• Build and maintain dashboards and reporting in Looker, Tableau, or Power BI covering pipeline health, forecast accuracy, and revenue KPIs

• Own and iterate on RevTech stack workflows in Salesforce, including automation, validation rules, and process documentation

• Write SQL queries against production data warehouses (Snowflake, BigQuery, or Redshift) to answer ad hoc business questions

• Partner with sales, finance, and marketing leadership to define metrics, audit data quality, and drive adoption of reporting standards

• Document business processes and requirements, translating stakeholder needs into specs for analysts and engineers

• Model scenarios for forecasting, headcount planning, and go-to-market changes; present findings to senior leadership

• Identify and drive process improvements that reduce manual work and increase data reliability across revenue teams

What We Are Looking For

• 3-6 years of experience in business analysis, revenue operations, or a related analytics role, ideally in a SaaS or high-growth tech environment

• Strong SQL skills; comfortable writing complex queries and working with large datasets independently

• Hands-on experience with Salesforce and at least one BI tool (Looker, Tableau, or Power BI)

• Proven ability to translate ambiguous business problems into structured analysis and clear recommendations

• Excellent communication skills — able to present to executives and partner with technical and non-technical teams alike

• Bachelor's degree in a quantitative field (economics, finance, statistics, computer science) or equivalent practical experience

• Bonus: Experience with Python or R for analysis, dbt, Excel/Google Sheets modeling at an advanced level, or exposure to GTM planning and commission tools (Xactly, CaptivateIQ)