Consultant- Com Ops

2 Months ago • 4-6 Years

Job Summary

Job Description

The Consultant role involves executing projects for top pharma clients. Responsibilities include designing and implementing incentive compensation plans, analyzing IC effectiveness, developing commercial dashboards, collaborating with cross-functional teams for unified reporting, and providing ongoing analytics support. The role also includes mentoring junior team members and staying updated with industry trends, technologies, and best practices. The consultant will be responsible for project delivery, stakeholder management, and solutioning problems related to commercial operations.

Must have:

4+ years of data & analytics experience in Pharma/Healthcare
2+ years of experience in sales force optimization and deployment
Expertise in analytics and visualization tools (e.g., Python, R)
Excellent communication and problem-solving skills

5 skills required

5 skills required for this role

Add these skills to join the top 1% applicants for this job

cross-functional

communication

tableau

data-science

python

Job Details

For over 30 years, Beghou Consulting has been a trusted adviser to life science firms. We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance.

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, CRM enablement, and commercial data strategy. You'll play a key role in solving complex challenges for top pharma clients and shaping high-impact operational strategies.

We’ll trust you to:

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, CDW, Commercial Analytics, and CRM & 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 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 like 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 CRM 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 like 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 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 in 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 the junior team members
Ability to operate effectively in an international matrix environment and work with US clients

What you should know:

· We treat our employees with respect and appreciation, not only for what they do but who they are.

· We value the many talents and abilities of our employees and promote a supportive, collaborative, and dynamic work environment that encourages both professional and personal growth.

· You will have the opportunity to work with and learn from all levels in the organization, allowing everyone to work together to develop, achieve, and succeed with every project.

· We have had steady growth throughout our history because the people we hire are committed not only to delivering quality results for our clients, but also to becoming leaders in sales and marketing analytics.