Associate Consultant-Customer Engagement (Life Sciences)

TL;DR

Associate Consultant-Customer Engagement (Life Sciences): Leveraging healthcare data and advanced analytics to optimize pharmaceutical commercial engagement with an accent on strategic insights for sales performance, marketing effectiveness, and customer engagement. Focus on conducting customer segmentation, developing sales force sizing models, and building predictive models for customer behavior and sales forecasting.

Location: Hybrid in Pune, Maharashtra, India

Company

hirify.global helps life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology, leveraging AI to improve customer insights and engagement.

What you will do

• Conduct customer segmentation, targeting, and sales force sizing analyses to optimize engagement strategies.
• Design and execute territory alignment and optimization projects to maximize market coverage and sales potential.
• Analyze sales performance data, conduct competitive intelligence, and support launch planning for new pharmaceutical products.
• Collaborate with pharmaceutical clients to understand commercial challenges and present actionable recommendations to leadership.
• Extract, clean, and manipulate large commercial and healthcare datasets using SQL.
• Develop automated analytical workflows, build predictive models, and create interactive dashboards for key commercial metrics.

Requirements

• Bachelor’s or Master's degree in Business Analytics, Marketing Analytics, Operations Research, Statistics, or a related quantitative field.
• Minimum 2+ years of professional experience in commercial analytics, pharmaceutical sales operations, or related consulting environment.
• Demonstrated experience working with commercial and healthcare datasets (sales, prescription, customer interaction, CRM).
• Advanced proficiency in statistical programming languages (SAS, R, and/or Python) and strong SQL skills.
• Experience with data visualization tools (Tableau, Power BI) and presentation development (PowerPoint).
• Knowledge of statistical analysis methods, optimization techniques, and predictive modeling.
• Deep understanding of pharmaceutical commercial operations including sales force management, territory design, and customer engagement.
• Strong problem-solving abilities with a focus on commercial optimization challenges.

Nice to have

• Familiarity with CRM systems (Salesforce, Veeva) and commercial analytics platforms.

Culture & Benefits

• Join a highly collaborative, values-driven team focused on technical excellence and analytical rigor.
• Opportunity for personal growth and to make an impact in life sciences through AI innovation and commercialization strategies.

Hiring process

• Artificial intelligence (AI) tools may support parts of the hiring process (reviewing applications, analyzing resumes, assessing responses).
• Final hiring decisions are ultimately made by humans.