Consultant, Enterprise Analytics Delivery

Trinity Partners, LLC is hiring a Consultant for its Enterprise Analytics Delivery team. The role develops and executes analyses using life sciences secondary data, including real-world evidence, and turns findings into actionable client insights. The Consultant also coordinates client deliverables and contributes to presentations, proposal development, and analytics product testing.

Biotechnology

• Healthcare
• Pharmaceutical
• Health Care
• Insider Connection @Trinity Life Sciences
• 2 email credits available today
• Beyond your network
• Maegan Rudolph & 4 connections
• From your previous company
• & 2 connections
• Previously@undefined and...
• from your School

Responsibilities

• Understand our clients’ business needs and creatively think through methodological solutions in collaboration with senior team members
• Develop an understanding of industry secondary data sources available and weigh pros and cons of leveraging each data source available
• Drive insights and key takeaways from data analyses and develop clear, concise presentations that outline business rules, study results and actionable insights for our clients
• Add value by translating analysis findings into the “so-whats” for our clients
• Analyze and interpret secondary data (e.g., real-world data) to address the business objectives, leveraging SQL, Python, R or other programing languages
• Gain methodological expertise by aiding in proposal development as needed
• Serve as the point of contact for assigned client deliverables, communicating internally and externally with clarity, conciseness and effective listening skills
• Effectively leverage AI tools, applying them appropriately while maintaining strong quality control
• Work closely with cross-functional subject matter experts to develop and interpret business rules for study analysis
• Support in execution of analytics product testing with the guidance of senior managers

Preferred

• Demonstrated interest in the life sciences field is a plus
• Graduate training (Masters/Doctoral degree) in STEM fields or Masters in Public Health strongly preferred
• Python, R as optional

Benefits

• Eligible for an annual discretionary performance bonus
• Glassdoor
• 3.3
• Life sciences commercialization intelligence and analytics services.
• Waltham, Massachusetts, USA
• https://trinitylifesciences.com
• Late Stage
• Total Funding
• unknown
• Key Investors
• Havas Health Network
• Bain & Company
• Kohlberg & Company
• 2023-01-10
• Corporate Round
• 2022-08-08
• 2021-11-30
• Private Equity
• Leadership Team
• Scott Evangelista
• Chief Executive Officer
• Scott Langer
• Senior Vice President, Commercial Data Solutions
• Recent News
• TradingView
• Allison Transmission (ALSN) Q3 earnings report preview: what to look for
• 2026-11-01
• Morningstar.com
• Trinity Acquires Verix, Adding AI-Powered Next-Best-Action and Omnichannel Orchestration to the TrinityEDGE Platform
• 2026-10-20

Qualifications

• Education: BS, MS or PhD in Public Health, Computer Science, Mathematics, Statistics, Biostatistics or Engineering
• Experience with life sciences real-world evidence data is a must
• 2-3 years of work experience in analyzing healthcare administrative claims data (e.g., CMS, IQVIA, Merative MarketScan, HealthVerity, Komodo)
• Experience developing analytical methods leveraging data to answer life science key business questions such as line of therapy, compliance/persistence, patient journey
• 2-3 years programming skills for querying data for analysis using SQL
• Demonstrated quantitative and analytical skills (including interpretation of statistics)
• Extensive experience with MS Office Suite (Excel & PowerPoint)
• Familiarity with Business Intelligence tools (e.g. Tableau, PowerBI, etc.) and git
• Self-motivated, strong problem-solving skills, innovative with a positive attitude and eager to learn
• Ability to manage time and work on multiple projects concurrently in a fast-paced environment
• Excellent communication in English (written and verbal) and interpersonal relations skills
• Demonstrated interest in the life sciences field is a plus
• Graduate training (Masters/Doctoral degree) in STEM fields or Masters in Public Health strongly preferred
• Python, R as optional
• 2-3 years of work experience in analyzing healthcare administrative claims data (e.g., CMS, IQVIA, Merative MarketScan, HealthVerity, Komodo).

Required skills

• Git, Healthcare Administrative Claims Data, Microsoft PowerPoint, Power BI, Python, SQL, Statistics, Tableau

Preferred skills

• Demonstrated interest in the life sciences field is a plus, Python, R as optional

Experience

• 2-3 years