Senior Analyst, Data Science and Business Analytics

Collegium Pharmaceutical•Boston, MA

8d•$113,000 - $146,000•Hybrid

About The Position

The Senior Analyst, Data Science & Business Analytics will build and maintain data models, dashboards, and forecasts that answer key business questions and support performance reporting across the Commercial organization, with a particular focus on national performance and marketing analytics. This role will apply creative, hypothesis-driven approaches to uncover actionable insights and help the Commercial team identify opportunities, risks, and execution priorities.

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
3-5 years of analytical experience, including SQL, Power BI, data modeling, dashboards, and large or complex databases (Oracle, SQL Server, or Amazon Redshift)
Strong analytical and problem-solving skills; able to translate complex data into actionable insights
Able to validate AI-generated outputs for accuracy, bias, business relevance, and reproducibility while applying responsible AI practices for privacy, security, governance, and sensitive data
Strong written and verbal communication skills, including presenting technical concepts to non-technical audiences and leadership
Detail-oriented, with a commitment to data quality, accuracy, and documentation
Able to work independently and collaboratively in a fast-paced, cross-functional environment
Advanced Microsoft Office skills, especially Excel and PowerPoint

Nice To Haves

Experience with statistical modeling, forecasting, or machine learning preferred
Experience with marketing analytics, including campaign or promotional measurement and translating findings into investment recommendations, preferred
Experience using generative AI or AI-assisted analytics tools for analysis, coding, automation, or insight generation preferred
Knowledge of pharmaceutical commercial data sources (e.g., IQVIA, Symphony, claims, payer, wholesaler, field activity, or CRM data) preferred

Responsibilities

Develop creative, hypothesis-driven data science and advanced analytics to identify national trends, business drivers, performance gaps, and opportunities for Commercial action
Build and maintain marketing analytics to measure the impact of campaigns and promotional activity and inform marketing investment decisions
Create clear, actionable performance reporting across the Commercial organization, including recurring and ad hoc outputs such as opportunity assessments and business reviews to track national and marketing performance
Support demand forecasting to inform business planning
Partner with commercial stakeholders to translate business questions into analytical approaches, insights, and recommended next steps
Improve efficiency and accuracy through automation, process improvements, and expanded use of AI