Associate Director, Commercial Insights & Analytics

Kiniksa Pharmaceuticals•Lexington, MA

6d•$180,000 - $193,000•Onsite

About The Position

Kiniksa Pharmaceuticals is seeking an experienced, insights-driven Associate Director, Commercial Insights & Analytics to lead analytics and performance insights for ARCALYST, a rapidly growing in-market brand. The role supports brand growth by translating complex commercial data into an ongoing narrative about performance drivers, opportunities, and recommended business actions. Reporting to the Director, BI, Insights and Analytics, this hands-on analytics owner will join and analyze complex datasets in Snowflake using SQL, build Tableau dashboards used by the commercial organization, and deliver insights to senior leadership. The role partners with Marketing, Sales Leadership, Market Access, Patient Services, Value and Access, Finance, Compliance, and IT to support data-informed decisions across the commercial ecosystem. The position is based in the Lexington, Massachusetts office and requires onsite work five days per week.

Requirements

BA or BS required; MS or MBA preferred.
Seven or more years of relevant business intelligence, commercial analytics, or insights and analytics experience.
Pharmaceutical, biotech, or life sciences experience required.
Deep, hands-on experience joining and analyzing complex pharmaceutical datasets using Snowflake, SQL, and Tableau.
Advanced SQL skills, including complex joins, window functions, and common table expressions.
Track record of building production Tableau dashboards using Snowflake data.
Direct experience with specialty pharmaceutical data sources, including specialty pharmacy dispense/status data, specialty distributor (852/867) data, hub/patient services data, claims and payer/formulary data, and CRM data.
Experience with data sources such as IQVIA, Veeva Compass, Symphony, MMIT, Veeva, or Salesforce.
Experience supporting an established in-market specialty or rare disease brand.
Understanding of patient-level longitudinal analytics, persistence, and patient journey metrics.
Ability to partner with IT and data vendors on data warehouse design, business rules, and data quality.
Excellent oral, written, and presentation skills, including the ability to explain complex concepts clearly to varied audiences.
Strong relationship-building and stakeholder-management skills, including the ability to navigate differing perspectives, analyze complex business issues, and develop pragmatic, actionable recommendations.
High integrity and accountability in handling data, with a strong commitment to compliance, privacy, and ethical business practices.

Nice To Haves

MS or MBA degree.

Responsibilities

Own ARCALYST commercial analytics in Snowflake, writing SQL to structure specialty pharmacy, specialty distributor, hub, claims, payer/formulary, marketing, and call activity data.
Build and maintain trusted, analysis-ready data models, including patient-level longitudinal views, HCP/account master data, and territory hierarchies, using tokenized or de-identified patient data.
Define and document business rules, KPI definitions, and data quality checks; partner with IT and data vendors to resolve data issues, onboard sources, and enhance the commercial data warehouse.
Drive the ongoing ARCALYST performance narrative, explaining demand drivers and barriers across acquisition and retention initiatives.
Analyze prescriber breadth and depth, account and segment performance, and geographic trends to identify growth opportunities and underperforming areas.
Diagnose patient journey and access dynamics to inform brand, access, and patient services strategy.
Support monthly brand performance insights reporting and quarterly business reviews, brand planning, and forecasting with senior leadership.
Design, build, and maintain intuitive, dynamic Tableau dashboards for leadership, brand, sales, access, and patient services teams.
Ensure dashboards are accurate, timely, governed, and scalable, with consistent KPI definitions and refresh processes.
Partner with cross-functional teams to increase adoption of reporting and insights tools.
Work with stakeholders to frame critical business questions and recommend analytic approaches, including cohort and persistency analyses, segmentation, targeting, and promotional response measurement.
Propose ways to create additional value from available data assets, technology platforms, and new data sources.
Communicate complex data clearly and make actionable recommendations to senior leaders and stakeholders.
Maintain a strong focus on data accuracy, compliance, privacy, and continuous improvement.