Consultant – Incentive Compensation

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• Company: IQVIA India

• Location: Gurugram / Noida, India

• Experience: 4+ years

• Work Mode: Hybrid

• Employment Type: Full-time

• Key Focus: Pharmaceutical incentive compensation, incentive plan design, target setting, payout modelling, and sales force effectiveness.

About the Role

IQVIA is looking for a Consultant to join its Incentive Compensation (IC) Consulting team. The role supports global and affiliate-level pharmaceutical clients in designing, evaluating, and operationalising incentive plans, goal-setting methodologies, and related sales force effectiveness (SFE) solutions.

The successful candidate will combine analytical capabilities, pharmaceutical commercial knowledge, and client-facing consulting skills to develop effective compensation models, generate actionable insights, and support the delivery of client engagements.

Key Responsibilities

Incentive Plan Design and Goal Setting

• Support end-to-end incentive compensation plan design, including KPI identification, metric definitions, pay curves, payout logic, plan mechanics, and financial modelling.

• Develop and validate goal-setting methodologies for mature brands, product launches, and specialised sales roles, including Key Account Managers.

• Build incentive compensation models for payout simulation, scenario analysis, and sensitivity testing using Excel and relevant platforms.

• Assess target-setting methodologies and evaluate target versus achievement performance.

Analytics and Reporting

• Prepare recurring KPI reports covering market share, growth, units, value, year-to-date performance, share of voice, and contribution metrics.

• Develop ad hoc sales and market analysis reports to support commercial decisions.

• Calculate incentive eligibility, target achievement, and payouts using defined business rules.

• Analyse field-force effectiveness indicators, including call coverage, call trends, coaching days, vacancy rates, and productive frequency.

• Configure data and calculation processes, implement reports, and perform data and output verification.

• Use analytical tools, including Python where applicable, to support reporting and analysis.

Client Engagement and Consulting Delivery

• Translate analytical findings into clear recommendations, client presentations, and decision-ready narratives.

• Support client workshops, plan-design sessions, and stakeholder presentations.

• Prepare client deliverables, including assessment reports, plan-design decks, modelling summaries, and communication materials.

• Manage assigned workstreams independently, maintaining quality, timelines, and proactive risk escalation.

• Respond to client information requests and recommend process improvements.

Solution Development and Quality

• Support the development and refinement of customer-specific rules for automating variable compensation calculations.

• Contribute to incentive compensation software enhancements, feature development, and bug-fix validation.

• Test software applications in new client environments using approved test scripts.

• Create and maintain SOPs, quality checklists, and verification procedures.

• Contribute to benchmarking reports, solution accelerators, best-practice frameworks, and internal knowledge-sharing initiatives.

• Provide guidance and training to junior analysts where required.

Required Qualifications and Experience

• At least 4 years of relevant professional experience.

• Strong understanding of incentive compensation processes, including plan design, target setting, KPI frameworks, payout modelling, and incentive calculations.

• Experience in analytical reporting, target-versus-achievement calculations, and sales or market analysis.

• Strong proficiency in Microsoft Excel and experience working with complex data and calculation processes.

• Experience with Python is required as specified in the source listing.

• Ability to collaborate with clients and internal stakeholders to deliver high-quality consulting solutions.

• Strong analytical, communication, problem-solving, and project coordination skills.

Preferred Qualifications

• Experience in healthcare or pharmaceutical commercial functions.

• Familiarity with pharmaceutical sales models, sales force effectiveness, incentive compensation practices, and market dynamics.

• Experience supporting global or regional pharmaceutical clients.

• Experience with incentive compensation software or variable-pay automation solutions.

Educational Qualifications

A graduate or postgraduate qualification in a relevant discipline, such as BTech, BCA, BSc, MTech, MCA, or MSc.

Work Mode and Location

• Location: Gurugram / Noida

• Work Mode: Hybrid

• Employment Type: Full-time

Compensation

Compensation details have not been disclosed in the source listing.