About The Role
The role sits at the intersection of data, systems, and business process: translating messy operational questions into clean analyses, dashboards, and recommendations that leadership acts on.
You will work across revenue, finance, and product teams to model performance, improve reporting infrastructure in SQL and BI tools, and own the metrics that drive quarterly planning.
Key Responsibilities
Build and maintain dashboards in Looker, Tableau, or Power BI that track core business and revenue KPIs
Write and optimize SQL queries against data warehouses (Snowflake, BigQuery, or Redshift) to answer ad hoc and strategic questions
Partner with RevOps and finance to define metrics, audit data pipelines, and resolve reporting discrepancies
Analyze funnel performance, pricing, and customer behavior; deliver findings and recommendations to stakeholders
Document business requirements and translate them into specs for data engineering and analytics engineering teams
Support quarterly planning and forecasting with scenario models in Excel, Sheets, or Python
Identify process gaps and drive adoption of reporting standards across teams
What We Are Looking For
3-6 years of experience in business analysis, revenue operations, or analytics at a technology company
Advanced SQL skills and hands-on experience with at least one major BI tool (Looker, Tableau, or Power BI)
Strong data modeling and financial/business analysis fundamentals; comfortable owning metrics end-to-end
Experience partnering with sales, finance, or product teams in a fast-moving environment
Bachelor's degree in a quantitative field (economics, statistics, engineering, or related) or equivalent practical experience
Clear written and verbal communication; able to explain analysis to both technical and executive audiences
Bonus: Python or R for analysis, dbt experience, familiarity with Salesforce/CRM data models, or prior RevOps exposure