SAP Commissions

3 days ago


India numberz.ai Full time
You enjoy making compensation math compute . Give you a plan with accelerators, draws, caps, overrides, SPIFs—and you’ll turn it into clean, explainable logic. You sanity‑check inputs, dry‑run the calc with masked UAT data , and reconcile to the penny before payroll. Works on my laptop” isn’t your style—your laptop mirrors prod with seeded files, contract checks, and repeatable jobs. Mission: Make commissions correct and on time —every cycle, with clear audits.

0 Sev‑1 payroll misses.
Speed: New/changed plans from signed design → prod in ≤ 4 weeks ; Data quality: Reconciliation: Variance by T+1 of payroll; Documentation: 100% coverage of plans, crediting, rate tables, data mappings, and runbooks.

Implement & configure SAP Commissions (CallidusCloud) : plans, crediting rules, rate tables, quotas, calendars, territories/positions, hierarchies, and effective‑dating/versioning.
Build/operate Data Loader jobs and integration pipelines from CRM/ERP (Salesforce, SAP, Oracle); S. sales comp models (accelerators, draws, caps, guarantees, ramps, overrides, SPIFs, quota attainment) into precise system logic.
Create unit/system tests , perform end‑to‑end UAT with masked data, and validate results against back‑of‑the‑envelope math.
Own reconciliations to payroll outputs; investigate variances with SQL and source data trails.
Keep technical docs tidy: configuration specs, data dictionaries, test cases, and runbooks.
Use Cursor/Copilot to draft SQL, generate edge‑case test data , and scaffold documentation—then verify every result.
Lock plan logic & data contracts before loading.
Masked prod‑like data in UAT; Horses for courses. Spreadsheets for discovery, configs for production, SQL for truth.
3–8 years hands‑on with SAP Commissions (CallidusCloud) configuration and data validation.
~ S. sales compensation models (base + variable, accelerators, draws, caps, overrides, SPIFs, quota/attainment, territory‑based incentives).
~ Proficiency in SQL for analysis and troubleshooting; comfort with Data Loader and reporting modules.
~ Experience validating CRM/ERP feeds and end‑to‑end data flows; self‑directed delivery.

Exposure to payroll cycles, SOX/controls, dispute workflows, and audit requirements.
Familiarity with Salesforce data model, SAP/Oracle ERP feeds, ETL tools, or a cloud data warehouse.
Scripting (Python) for data prep; dashboarding (Looker Studio/Tableau/Power BI).

We are supporting a sister concern through a groom‑and‑place engagement.

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