Senior Business Analyst, Sales Compensation Analytics

Partner with Finance Operations IT business teams and leadership to identify automation opportunities redesign processes and deploy solutions using the latest technology. The role will eliminate manual effort wherever practical build reusable analytical tools and train teams to confidently adopt and use new automation capabilities.

Identify prioritize and automate all types of repetitive or manual work across business processes including data preparation validations reconciliations reporting documentation and exception management.

Design and deploy AI agents GenAI-enabled workflows and latest industry best solutions that improve accuracy transparency control and cycle time.

Translate business requirements into scalable process designs data models workflow logic user stories test scenarios and production-ready solutions.

Build forecasting scenario and what-if models; create dashboards and decision support for business and executive audiences.

Partner with IT and enterprise architecture teams on APIs ETL middleware system integrations data lineage and production scalability.

Establish monitoring audit acceptance and reconciliation controls; perform root-cause analysis and drive sustainable resolution of process and data issues.

Develop practical playbooks and deliver hands-on training so teams can use Claude Python and other approved automation tools safely and effectively.

Document process flows business rules solution designs test evidence version history and production approvals.

Automation & AI: Demonstrated experience automating processes using the latest technologies including AI agents GenAI and workflow tools.

Data & Analytics: Strong data analysis modeling visualization SQL/Excel API ETL and integration of troubleshooting skills.

Enablement: Experience training teams creating user guidance and driving adoption of new tools and automated ways of working.

Tools: Hands-on experience with Claude Python and industry-standard analytics automation integration and business intelligence tools.

Business Analysis: Strong requirements gathering process mapping solution design testing change management and stakeholder management.

Leadership Communication: Ability to explain technical and financial concepts clearly and provide concise executive-ready recommendations.

Bachelors degree in business Finance Data Science Computer Science Analytics Information Systems or related fields. 8 years of relevant experience in business analysis finance analytics operations data engineering process transformation or enterprise automation. Exposure to machine learning predictive analytics enterprise AI governance and production-grade automation is preferred.