Senior Business and Data Analyst ( Sales Incentives and Commissions )

Location: Bangalore, India

Department: Product Management

Experience: 2-4

• Analyse complex sales and incentives data to surface trends, anomalies, and opportunities across commission accuracy, quota attainment, and payout performance.
• Build and maintain Excel-based models and dashboards for quota setting, territory planning, commission calculations, and payout reconciliation.
• Own data pipelines and reporting for channel partner programs, direct sales incentives, and territory-based comp plans.
• Translate ambiguous business problems into structured analytical frameworks and present findings to stakeholders across sales, finance, and RevOps.

• Translate business requirements from sales, finance, and RevOps stakeholders into precise product requirements that engineering and design teams can act on.
• Work with PMs to define acceptance criteria, edge cases, and calculation logic for commission engines, plan configurators, and performance dashboards.
• Review product specifications for analytical accuracy — including payout ledger logic, dispute workflows, and attainment calculations.
• Identify gaps between how the product behaves and how users actually work, and surface these as prioritised improvement areas.

• Develop deep familiarity with how sales leaders, RevOps teams, channel managers, and finance teams use incentive and commission products.
• Partner with customer-facing teams to gather feedback from enterprise users and synthesise it into data-backed recommendations.
• Track and monitor metrics like commission dispute rates, payout accuracy, and rep engagement — and drive investigations when numbers shift.

• Deep proficiency in working with complex sales and incentives data — you can navigate large, messy datasets across commission plans, quota structures, channel programs, and payout workflows without hand-holding.
• Advanced Excel skills — you build models from scratch, use nested formulas, pivot tables, and know when a calculation is wrong before anyone tells you.
• Strong analytical skills with a track record of translating business requirements into product requirements — you've sat between business stakeholders and product/engineering teams and made the translation work.

• 2-4 years of experience in a business analyst, data analyst, or product analyst role.
• Prior exposure to fintech, sales performance management, incentive compensation management (ICM), or channel incentives — products in commission automation, quota & territory planning, gamification, or channel partner loyalty.
• Solid understanding of how commission plans are structured, how channel incentives differ from direct sales comp, and why calculation accuracy and auditability matter to reps and finance teams.
• Experience working independently on analytical workstreams — from problem framing through to stakeholder presentation.
• Clear written and verbal communication with both technical and non-technical partners.
• Willingness to work from our Bangalore office

• Experience with BI tools (Tableau, Looker, Power BI) or SQL for deeper data analysis.
• Exposure to channel partner management — MDF, SPIFF programs, tiered rebates, or distributor incentive workflows.
• Familiarity with how enterprise comp teams configure, audit, and dispute commission calculations.
• Experience working within a product team in a close analytical or product operations capacity.
• Prior experience as a founder or at an early-stage startup.

• You’ve worked on products or programs where calculation correctness, auditability, and real-time visibility are non-negotiable — think commission engines, payout ledgers, or performance scorecards.
• You understand the tension between sales rep experience (motivation, transparency, gamification) and back-office needs (accuracy, compliance, finance reconciliation).
• You can move fluidly between a messy Excel model and a structured product requirement document.
• You’re comfortable owning workstreams end-to-end and don’t wait to be told what to analyse.
• You communicate clearly with engineers, product managers, and CFOs — adjusting depth and framing for each audience.
• You care about building practical, usable analysis that actually changes decisions.

• Work on a product competing in one of the fastest-growing segments of B2B SaaS — sales performance and incentive compensation.
• Real ownership: your analysis directly shapes product decisions and business outcomes.
• Collaborate with small, focused teams close to execution.
• Build domain expertise in a space where complexity is real, competition is intense, and good analytical decisions have outsized impact.
• Grow as a business and data operator in a hands-on, high-ownership environment.