Sales Analyst Jobs

About The Position

Requirements

• At least 5 years of experience in sales compensation analytics, financial modelling, or commercial data governance within a multinational organisation.
• Advanced SQL proficiency for data modelling, validation, and complex multi-table reconciliation across ledger revenues, CRM systems, and compensation engines.
• Hands-on experience using Python/Pandas or Alteryx to build automated reconciliation workflows, variance-detection models, and data-pipeline scripts.
• Advanced Power BI expertise, including data modelling, star-schema design, complex DAX measures, and Power Query M transformations for enterprise-level reporting suites.
• Proven experience operating within SOX-compliance frameworks, including designing audit-ready controls, running automated control-test queries, and producing end-to-end calculation traceability documentation.
• Indefinite right to work in the United States.

Nice To Haves

• Experience in B2B SaaS or subscription-based sales compensation environments, including enterprise crediting rules, quota structures, and multi-tier incentive-plan mechanics.
• Experience presenting complex data logic, calculation methodologies, and compensation-model outcomes to Finance and Commercial executive leadership in clear, non-technical language.
• Experience translating complex commercial contract mechanics into structured algorithmic logic within enterprise compensation calculation engines.
• Experience partnering with Revenue Operations and Legal/Deal Desk to assess non-standard transaction structures for data feasibility and downstream compensation-calculation readiness.
• Experience building real-time data-health and anomaly-monitoring dashboards that surface unmapped accounts, missing credit assignments, adjustment-volume trends, and pipeline-integrity issues.
• Experience designing and maintaining standardized adjustment protocols with systematic approval-trail tracking for manual compensation overrides.
• Experience conducting technical peer reviews of SQL queries, automation scripts, and configuration changes before production deployment in compensation environments.

Responsibilities

• Translate complex commercial deal structures—including multi-year enterprise agreements, joint-production credit splits, co-selling models, and overlay allocations—into structured algorithmic logic and standardized business rules in the compensation calculation engine.
• Model and simulate the financial impact of proposed compensation-plan and crediting-rule changes using Python and SQL scenario analyses on historical payout data.
• Partner with Revenue Operations and Legal/Deal Desk to evaluate non-standard transaction structures for data feasibility and commercial accuracy.
• Build and maintain automated reconciliation engines using Python, Alteryx, and SQL to compare ledger revenues, CRM bookings, and calculated commissionable revenue.
• Develop variance-detection models to surface anomalies such as revenue double-counting, territory misalignment, unassigned account credits, and clawback mismatches.
• Design and maintain governance controls and tracking for manual adjustments, including origin, justification, and approval trails.
• Direct quarterly and annual SOX audit documentation and run automated control-test queries to demonstrate end-to-end calculation traceability.
• Architect and maintain enterprise Power BI reporting suites using advanced data models, DAX, and Power Query M.
• Build real-time data-health and anomaly-monitoring dashboards and present variance summaries, root-cause analyses, and actionable insights to Finance and Commercial leadership.
• Convert fragmented legacy workflows into structured standard operating procedures with clear service-level agreements.
• Serve as a senior technical point of contact for Commercial and Finance stakeholders, explaining complex data logic and calculation outcomes in plain language.
• Conduct technical peer reviews of queries, code updates, and configuration changes before production deployment.

Benefits

• Health care coverage designed for mind and body.
• Generous time off.
• Access to continuous-learning resources and opportunities to develop new skills.
• Competitive pay and retirement planning.
• Continuing education program with a company-matched student-loan contribution.
• Financial wellness programs.
• Family-friendly perks and benefits.
• Retail discounts.
• Referral incentive awards.
• Annual incentive plan.