Consultant, Enterprise Analytics Delivery

Position Summary We’re looking for a talented, committed, and energetic individual to join our growing Enterprise Analytics Delivery team. The Consultant is an integral member of project teams, working closely with cross-functional team members including consultants, project managers, and subject matter experts to deliver high-quality analytical solutions. With strong attention to detail, the Consultant is responsible for designing, developing, and executing analyses on life sciences secondary data sources, including real-world evidence (RWE) data (e.g., administrative claims), to meet client and internal project needs and generate value-added insights.

The Consultant also communicates effectively with project team members, including managers, on all matters related to project assignments. In this role, the Consultant is expected to manage multiple projects and project types concurrently, maintain a high degree of quality and accuracy, and contribute to client-facing activities, including presenting findings and communicating results to clients.

What You'll Do 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

What You'll Bring

Education:

BS, MS or PhD in Public Health, Computer Science, Mathematics, Statistics, Biostatistics or Engineering. 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.

Work Experience:

2-3 years of work experience in analyzing healthcare administrative claims data (e.g., CMS, IQVIA, Merative Market Scan, Health Verity, Komodo).

Experience with life sciences real-world evidence data is a must. Experience developing analytical methods leveraging data to answer life science key business questions such as line of therapy, compliance/persistence, patient journey2-3 years programming skills for querying data for analysis using SQL with Python, R as optional. 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 gitSelf-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

Ability to work in the Boston, Massachusetts, Philadelphia, or Pennsylvania/New Jersey/NYC area About Trinity Trinity powers the future of life sciences…