Roles & Responsibilities:

What You'll Do:

Own data analysis and reporting:

- 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.

Bridge business and product:

- 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.

Stay close to users and execution:

- 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.

Ideal Candidate:

What Were Looking For:

- 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.

Additional requirements:

- 3-6 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.

Nice to Have:

- 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.

What Makes You a Strong Fit:

- Youve 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.

- Youre comfortable owning workstreams end-to-end and dont 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.

Perks, Benefits & Culture:

Why Join Us:

- 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.