Consultant - Analytics COE

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Quick Summary

Overview

ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon.

Key Responsibilities

Translate business questions into clear analytical approaches, data requirements, and model structures for engagements spanning new product planning, market access, corporate and investor assessments, and diagnostic strategy.

Technical Tools
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ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives.

As a Consultant – Analytics - COE, you will design, execute, and scale analytical workstreams that power ClearView’s client engagements. You will work on projects such as ATUs, forecasting, conjoint analyses, proprietary data mining and survey designing and coding (e.g., Qualtrics), while contributing to tool development and analytics automation for the firm. As a CoE team member, you will support global project teams in structuring, analyzing, and visualizing complex datasets to inform strategic recommendations for life sciences clients. You will combine strong analytical skills with an understanding of life sciences to help answer critical questions across the product lifecycle.

Responsibilities

~2 min read
  • Translate business questions into clear analytical approaches, data requirements, and model structures for engagements spanning new product planning, market access, corporate and investor assessments, and diagnostic strategy.
  • Collect, clean, structure, and validate data from multiple sources, including sales, claims, epidemiology, primary research outputs, and internal proprietary datasets.
  • Design, program, and analyze quantitative surveys, including ATUs, demand assessments, and pricing research; support project teams in defining sampling plans and questionnaire logic.
  • Build and maintain quantitative models for market sizing, forecasting (patient based and sales based), patient flow, scenario testing, and pricing / contracting simulations across a variety of therapeutic areas and business questions.
  • Conduct conjoint / discrete choice and related trade off analyses, including experimental design, model estimation, and result visualization under guidance from senior team members.
  • Support web crawling and data harvesting efforts to automate tracking of markets, competitors, and financial / deal activity where appropriate.
  • Develop and maintain reusable analytical assets (e.g., standard forecast frameworks, KPI dashboards, ATU codebooks, pricing simulators) that can support multiple types of strategic work, including launch, access, and corporate growth questions.
  • Develop dashboards and visuzalizations (e.g., in Excel, PowerPoint or BI tools) that clearly communicate key findings and trends to internal and client stakeholders.
  • Support the creation and refinement of reusable analytical tools and templates (e.g., standard forecast models, patient flow frameworks, KPI trackers).
  • Document assumptions, methodologies and data sources to ensure transparency, reproducibility, and efficient hands offs across global teams.
  • Collaborate closely with Insights and consulting teams to integrate analytics outputs into cohesive storyline and client deliverables.
  • Contribute to internal capability building by sharing analytical best practices and participating in developing training material and code or template libraries.

Requirements

~1 min read
  • 4–6 years of experience in analytics, forecasting, or data driven roles within life sciences consulting, pharma, healthcare analytics, or related sectors; strong analytical internships may be considered.
  • Undergraduate or Master’s degree in a quantitative or life sciences field (e.g., engineering, statistics, mathematics, economics, biostatistics, pharmacy, biotechnology).
  • Strong quantitative and problem-solving skills, with the ability to decompose ambiguous business questions into structured analytical workplans.
  • Advanced Excel skills (e.g., advanced formulas, pivot tables, basic data modeling, Macros/VBA); exposure to forecasting and scenario analysis preferred.
  • Experience with at least one analytical or programming tool (e.g., R, Python, SQL, or a BI platform such as Power BI/Tableau) is a plus; willingness to learn these tools is essential.
  • Strong attention to detail and comfort working with large or complex datasets, including data integrity checks and reconciliation.
  • Clear written and verbal communication skills in English, with the ability to explain analytical approaches and results to non-technical stakeholders.
  • Ability to work effectively in a fast-paced, collaborative environment supporting multiple projects and time zones.
  • Ability to work in a hybrid setup, with 3 days per week from the Gurgaon office.

We recognize that not every candidate will meet every qualification listed. If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration.

ClearView Healthcare Partners ("CV") is an Equal Opportunity employer.  All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Location & Eligibility

Where is the job
Gurugram, India
On-site at the office
Who can apply
IN

Listing Details

Posted
May 8, 2026
First seen
May 8, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
60%
Scored at
May 8, 2026

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Consultant - Analytics COE