Remote SIP Analyst: Incentive Data & Analytics

Danaher Corporation; United States; Remote; USD 65,000 - 100,000; Full time

Job summary

Leica Microsystems, a Danaher company, seeks a Sales Incentive Plan (SIP) Analyst to support global incentive programs remotely. You will maintain SIP infrastructure, prepare data for calculations, troubleshoot logic, and generate reports.

You’ll work with Salesforce Analytics, Excel/Power BI, and SQL data sources to ensure accurate payouts. The role collaborates with Regional SIP Managers and finance teams to improve data workflows, automate visuals, and uphold data governance.

Qualifications

• 1–3 years experience in Sales Operations, Finance, Data analytics or similar.
• Experience with Salesforce CRM Analytics and data in Excel/Power BI and/or SQL-based environments.
• Fluent in English.

Responsibilities

• Maintain SIP infrastructure and tools; assist with configuration updates, data uploads and system maintenance.
• Prepare and manage data for SIP calculations, reporting and analysis; ensure data integrity across SFDC, finance and operational systems.
• Troubleshoot calculation logic, rules and recipes used in incentive calculations; investigate data discrepancies and support root cause analysis.
• Prepare reports related to sales performance and incentive payouts; support reconciliation of incentives and audits.
• Identify opportunities to improve data workflows and reduce manual effort; document data flows and system logic.

Skills

Sales operations

Data analytics

CRM Analytics

Excel

Power BI

SQL

Tools

Salesforce CRM Analytics

SQL

Job description

Leica Microsystems, a Danaher company, seeks a Sales Incentive Plan (SIP) Analyst to support global incentive programs remotely. You will maintain SIP infrastructure, prepare data for calculations, troubleshoot logic, and generate reports.

You’ll work with Salesforce Analytics, Excel/Power BI, and SQL data sources to ensure accurate payouts. The role collaborates with Regional SIP Managers and finance teams to improve data workflows, automate visuals, and uphold data governance.