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 MarketScan, HealthVerity, Komodo).


* Experience with life sciences real-world evidence data is a must.

Experience developing analytical methods leveraging data to answer life sci...