Consultant - Commercial Operations (IC)

Beghou; Maharashtra; Sur place; INR 1 200 000 - 2 200 000; Plein temps

Résumé du poste

Beghou in Maharashtra, India is seeking a results‑driven Consultant with 4–6 years of experience in pharmaceutical commercial operations and analytics. The role spans incentive compensation, field reporting, enablement, and analytics strategy across global teams.

You will design solutions, build dashboards, and collaborate with cross‑functional teams to deliver enterprise‑level reporting and AI‑assisted data initiatives for commercial success.

Qualifications

• Graduate/Master’s degree with strong academic record.
• 4+ years delivering data analytics engagements in life sciences.
• Experience in sales force optimization and deployment.
• Proficiency with analytics and visualization tools listed.

Responsabilités

• Lead analytics projects with global teams and stakeholders.
• Design incentive compensation, analytics dashboards and field enablement tools.
• Develop enterprise reporting across Market Access and Customer Services.
• Support master data strategy with AI and data science.
• Coach junior team members in analytical methodologies.

Connaissances

Python

R

Alteryx

SAS

Tableau

PowerBI

Spotfire

Communication

Mentoring

Formation

Graduate/Master’s degree in life sciences/related field

Outils

Reltio

Alteryx

Veeva Network

Description du poste

Purpose of Job

We’re seeking a results-driven Consultant with 4-6 years of experience in pharmaceutical commercial operations and analytics. This role is ideal for someone with hands‑on experience working across incentive compensation, field reporting and enablement, and commercial data strategy and analytics.

Project Delivery and Stakeholder Management

• Independently execute projects with global teams – understand project needs, translate solutions briefs into specific tasks, devise analytical approaches, maintain commercial excellence, and manage stakeholder communication (internal and external)
• Design and execute solutions to address business needs, particularly in Incentive Compensation, Commercial Analytics, and Field Enablement Tools
• Collaborate with project leads, engagement managers globally, and team associates to conduct high‑quality analysis and develop structured, impactful deliverables focused on Commercial Analytics
• Establish project priorities, flag potential risks, and create mitigation plans
• Ensure a high level of quality and thoroughness in analysis, reporting, and IC operations
• Drive innovation by staying informed about emerging trends, technologies, and best practices in data science, commercial execution, and AI applications in the pharmaceutical industry

Solutioning and Problem Solving

• Design and implement incentive compensation plans aligned with brand and commercial goals
• Analyze IC effectiveness and recommend modifications to drive field performance
• Develop and maintain commercial dashboards for field teams and executive leadership
• Collaborate with cross‑functional teams to deliver unified enterprise‑level reporting across Market Access, Omni‑channel, and Patient Services functions
• Provide ongoing analytics support for Commercial Ops/CI&A and Sales Ops teams
• Execute opportunity mapping, segmentation, performance tracking, and launch analytics
• Support master data strategy using AI and data science to establish accurate HCP‑HCO hierarchies. Contribute to implementation using tools such as Reltio, Alteryx, and Veeva Network
• Configure and deploy proprietary platforms and field tools including field coaching, call reporting, and account planning modules
• Collaborate with client teams to align operational capabilities with commercial strategies
• Manage and improve commercial operations tools (e.g., Roster Management, Alignment Refinement, Apportionment)
• Conduct landscape assessments of data providers; design roadmaps for integrated commercial data ecosystems

People Management

• Mentor and coach resources on analytical methodologies, data interpretation, and applying insights to commercial use cases such as Incentive Compensation, CDW, CRM, and Commercial Execution
• Provide guidance to junior team members through projects and on‑the‑job training

You’ll need to have:

• Graduate/Master’s degree from a Tier‑I/Tier‑II institution/university with a strong academic record
• Demonstrated track record of success in executing and delivering data & analytics engagements to life sciences companies
• At least 4 years of relevant experience delivering data and analytics engagements in the Pharmaceutical/Healthcare industry
• At least 2+ years of experience working across sales force optimization and deployment
• Strong expertise in using analytics and visualization tools (e.g., Python, R, Alteryx, SAS, Tableau, PowerBI, Spotfire)
• Excellent communication skills and ability to deal with unstructured real‑world problems
• Strong passion for understanding and devising solutions for the current issue areas in the pharma industry
• Demonstrated ability to coach and mentor junior team members
• Ability to operate effectively in an international matrix environment and work with US clients

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.