Associate Principal, Insights & Analytics

Position Summary

This role functions as the analytical and clinical translation layer between client facing teams and the Analytics function. The individual is accountable for ensuring that client objectives are converted into precise, executable analytical specifications and that analytical outputs are translated back into accurate, decision ready client deliverables.

The position requires deep fluency in medical claims data, strong disease area understanding, and the ability to operate with authority across Analytics, Delivery, and client stakeholders. This is not a coordination role. It is quality control, specification of ownership, and analytical interpretation role.

The successful candidate will act as the primary steward of analytical intent, ensuring fidelity between client needs, analytical design, and delivered insights.

Core Responsibilities

Analytical Translation and Specification Ownership

• Own the end-to-end translation of client questions into detailed analytical specifications at the claims code level, including ICD, CPT, HCPCS, NDC, place of service, provider taxonomy, and temporal logic

• Create and maintain dynamic specification documents that evolve with client feedback, analytical discovery, and data constraints

• Serve as the primary point of contact for the Analytics function, ensuring clarity of intent, methodological rigor, and correct interpretation of requirements prior to coding

• Proactively identify ambiguities, edge cases, and data limitations before analytical execution begins

Analytical Quality Control and Validation

• Act as the final quality control checkpoint between Analytics output and client delivery

• Validate cohort definitions, patient journeys, metrics, and assumptions for clinical plausibility and analytical correctness

• Ensure reproducibility, traceability, and defensibility of analytical logic

• Identify and resolve discrepancies between expected and observed results

Client Facing Interpretation and Delivery

• Translate analytical output into clear, accurate, and client ready materials including PowerPoint, Excel, and written documentation

• Communicate analytical findings with appropriate nuance, avoiding over interpretation while preserving strategic relevance

• Support client discussions by explaining methodology, assumptions, and limitations in clear, confident language

Disease Area Research and Clinical Contextualization

• Conduct self-directed research into disease states relevant to client engagements

• Document and apply understanding of epidemiology, patient demographics, symptomology, comorbidities, diagnostic pathways, treatments, and procedures

• Integrate clinical context into cohort design, patient journey logic, and analytical interpretation

Methodology and Solution Design

• Contributes to the development of analytical strategies and methodologies for leveraging medical claims and RWE data in Pharma commercial and medical use cases

• Collaborate with senior Analytics leadership to design scalable frameworks for patient identification, segmentation, and longitudinal analysis

• Apply creative problem solving to combine multiple claims and RWE datasets to address complex or non-standard client questions

Required Qualifications

• Bachelor of Science degree in quantitative, scientific, or technical discipline

• Minimum of 5 years of experience in healthcare analytics, healthcare consulting, or medical claims-based analysis

• Strong hands-on experience working with open and closed commercial healthcare datasets

• Demonstrated understanding of medical claims data structures and coding systems and their application to Pharma commercial and medical analytics

• Knowledge (proficiency optional) of 2+analytical and data science technologies used in claims-based analytics including SQL, Python, R, SAS, etc.

• Experience creating dashboards and visual analytics using any BI technology

• Advanced proficiency in Microsoft Excel, including management and interrogation of large datasets using pivot tables, logic functions, and text functions

• High proficiency in Microsoft PowerPoint and Word with strong attention to narrative structure and detail

• Excellent written and verbal communication skills with the ability to engage both technical and non-technical audiences

Preferred Qualifications

• Advanced degree in life sciences, public health, biostatistics, data science, or related field

• Experience supporting Pharma commercial analytics, market access, or medical affairs use cases

• Prior experience acting as a bridge between analytics teams and clients facing stakeholders

• Strong understanding of longitudinal patient journey construction and provider interaction mapping

• Experience reviewing and validating analytical work produced by data science teams

Additional Information

• Travel requirement approximately 20 percent

• Role requires comfort operating in ambiguity, managing multiple stakeholders, and making defensible analytical decisions

• Position demands uncompromising attention to detail and accountability for analytical integrity

Compensation and Benefits:
The salary range for this position is $103,000 – $193,000 per year, which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual compensation will depend on factors such as experience and qualifications.

This role is also eligible for a commission plan based on sales performance, in accordance with the company’s commission policy.

All employees receive standard benefits, including medical, dental, and vision coverage, unlimited paid time off, and participation in the company’s 401(k) plan with employer contribution.