Senior Business Analyst, Revenue Analytics

Company: Jobgether

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-06-25

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Business Analyst, Revenue Analytics based in the United States.
This role sits at the intersection of data, strategy, and revenue performance, supporting a high-impact go-to-market organization with actionable insights that shape business growth. You will work closely with sales, finance, product, and data science teams to transform complex datasets into clear, decision-ready intelligence. The position requires strong technical depth in SQL and BigQuery, along with the ability to design scalable dashboards and analytics systems. You will help build and maintain the data foundations that power both traditional reporting and emerging AI-driven analytics. In this environment, speed, accuracy, and clarity of insight are essential to enabling revenue teams to perform at their best. This is a highly collaborative and strategic role where your work directly influences sales effectiveness and business outcomes.


Accountabilities

  • Lead cross-functional analytics initiatives in partnership with sales, go-to-market strategy, finance, product, and data science teams to support revenue growth and operational decision-making.
  • Build and maintain scalable data models, semantic layers, and analytics frameworks that power both dashboards and AI-enabled reporting systems.
  • Develop, optimize, and manage ETL workflows, data pipelines, and Salesforce-to-revenue mappings using BigQuery and related data tools.
  • Design and deliver high-quality dashboards and reporting solutions that surface key performance metrics and business insights.
  • Translate complex datasets into clear narratives and actionable recommendations that drive strategic and operational improvements.
  • Automate recurring reporting processes and continuously improve data accuracy, accessibility, and efficiency across analytics systems.
  • Ensure data integrity and consis...

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