Senior Business Analyst, Sales Compensation Analytics

Job Summary
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.
Job Requirements
· 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.
Required Skills & Experience
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.
Preferred Qualifications
Bachelor's 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.