Sales Compensation Analyst (Pipeline Operations & Data Integrity)

S&P Global Market Intelligence; Gurugram District, Bengaluru; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

S&P Global Market Intelligence is seeking a Sales Compensation Analyst focused on Pipeline Operations Data Integrity. You will oversee data ingestion health, run reconciliation scripts, and troubleshoot data anomalies to ensure accurate compensation calculations.

The role collaborates with global stakeholders to improve data pipelines and governance. Responsibilities include monitoring ingestion health, performing programmatic checks, and driving end-to-end data integrity.

Qualifications

• 5+ years of technical experience in data operations, financial systems support, sales compensation analysis, or data pipeline validation.
• Advanced SQL: write, debug, and optimize complex queries with aggregations and multi-table joins.
• Automation tooling: build or maintain scripts using Python, Alteryx, or VBA/macros.
• Analytical problem solving with high attention to detail on large financial datasets.
• Reporting tools experience and data in Power BI.
• Strong English communication and ability to collaborate across time zones (US, UK, APAC).

Responsibilities

• Monitor daily data ingestion pipelines across billing, CRM, and target tables.
• Run and validate reconciliation checks to catch data anomalies before they impact calculations.
• Triage pipeline issues and implement fixes with global data architecture teams.
• Support month-end loads, baselining, and error-free processing in close schedules.
• Develop and maintain SOPs and SOX controls for data processes.
• Provide data health metrics and KPI dashboards using Power BI and Excel.

Skills

SQL

Analytical problem solving

Global collaboration

Reporting skills

Tools

Python (Pandas)

Alteryx

VBA/macros

Job description

Job Summary

Grade Level (for internal use): 10

Role Overview: The Sales Compensation Analyst (Pipeline Operations Data Integrity) is an essential technical driver responsible for ensuring the operational health, daily precision, and end-to-end data integrity of the sales compensation data platform. You will oversee daily and monthly data ingestion feeds, run programmatic reconciliation scripts, troubleshoot data anomalies before they impact calculations, and support continuous improvement of data pipelines in close coordination with global stakeholders.

Responsibilities

Operational Pipeline Monitoring Ingestion Health

• Manage the day-to-day execution and monitoring of critical data ingestion pipelines, checking table populations across billing systems, CRM feeds, and target tables.
• Execute script-based pre-calculation validation checks daily to identify failed data syncs, malformed records, null foreign keys, and currency conversion discrepancies.
• Triage pipeline failures and data ingestion errors in real-time, working closely with global data architecture and systems teams to implement permanent fixes.
• Execute automated end-of-month data loads and baseline calculations within rigorous month-end close timetables, ensuring zero downtime or processing bottlenecks.

Programmatic Reconciliation Anomaly Eradication

• Run, maintain, and enhance automated Python, Alteryx, and SQL reconciliation routines to verify that transactional revenue matches commission calculation inputs down to the penny.
• Detect and eliminate data discrepancies including duplicate order lines, inactive employee crediting, split-credit percentages exceeding 100%, and unmapped sales territories.
• Conduct root cause investigations on data bugs and transaction discrepancies, creating bug tickets with reproducible steps and proposing database-level logic fixes.
• Partner with regional Revenue Operations and Technology teams to clean invalid source-system entries directly at the point of origin.

Standard Operating Procedures (SOPs) Controls Maintenance

• Maintain and execute documented operational runbooks and Standard Operating Procedures (SOPs) for all recurring data processes, ensuring adherence to strict operational SLAs.
• Enforce SOX data controls and validation protocols across all operational cycles, ensuring that every calculation cycle is fully backed by auditable data logs and reconciliation sign-offs.
• Standardize monthly adjustment handling processes, validating that all manual overrides meet documentation standards and programmatic validation rules before entry into production tables.

Reporting, KPI Telemetry Regional Partner Support

• Build and publish operational data health scorecards and pipeline status reports using Power BI and Excel, highlighting key error rates and data latency metrics to leadership.
• Partner with Commissions and Finance teams to research complex payment discrepancies, providing detailed transaction extraction files and mathematical logic walkthroughs.
• Provide continuous technical analysis and feedback to UK/US systems architects on recurring source data defects to drive systematic, long-term schema and pipeline enhancements.

Requirements

• Experience: 5+ years of technical experience in data operations, financial systems support, sales compensation analysis, or data pipeline validation.
• Advanced SQL: Proven ability to independently write, debug, and optimize complex SQL queries involving aggregations, subqueries, and multi-table joins.
• Automation Tooling: Hands-on experience building or maintaining automation scripts using Python (Pandas), Alteryx, or advanced VBA/macros.
• Analytical Problem Solving: Exceptional diagnostic and troubleshooting skills with high attention to detail when working with complex financial datasets.
• Reporting Tools: Experience creating operational dashboards and reporting data in Power BI.
• Global Collaboration: Strong English communication skills (written and spoken) with experience and willing to collaborate across global time zones (US, UK, and APAC).

Location

Hyderabad,Gurugram,Bengaluru,Noida,Uttarpradesh,Mumbai,Maharastra