Sr. Sales Analyst - Data Scientist

The Opportunity:

We are seeking an experienced and commercially driven Senior Sales Analyst - Data Scientist to join our team. The ideal candidate will leverage advanced data science techniques and analytics to drive business performance and optimize commercial outcomes.

This role is responsible for analyzing large and complex datasets, building predictive models, and providing actionable insights that enhance decision-making across the commercial organization.

You will collaborate with cross-functional teams, including sales, marketing, and finance, to support data-driven strategies that improve revenue, customer acquisition, and overall business growth.

Ideally, candidate will be close to Radnor, PA office (hybrid schedule). Open to remote as well.

How you will thrive and create an impact:

Commercial Data Visualization and Insights:

• Analyze commercial data to identify opportunities for optimizing key sales metrics such as revenue, pipeline, forecasting and customer trends.

• Gather, analyze, and interpret large sets of sales data to provide meaningful insights and recommendations to senior management.

• Develop dashboards and visualizations using Power BI or similar tools to present complex data in a clear, actionable format for stakeholders.

Advanced Data Analysis & Predictive Modeling

• Apply advanced statistical, machine learning, and predictive modeling techniques to identify patterns, trends, and insights that drive business strategies.

• Build and maintain models that predict key commercial metrics such as pipeline forecasting, likely to buy and revenue growth.

Data Infrastructure & Automation

• Build, maintain, and optimize scalable data pipelines to support automated data processing and real-time analytics.

• Work with IT and data engineering teams to ensure data is properly collected, stored, and accessible for analysis.

• Automate recurring tasks such as reporting, data extraction, and analysis to improve operational efficiency.

Research & Innovation:

• Stay updated on the latest data science methodologies, tools, and technologies, and apply these innovations to solve business problems.

• Experiment with new algorithms and models to improve the accuracy of predictions and recommendations.

• Identify new data sources and integrate them into the commercial data ecosystem for enhanced insights.

Business Collaboration:

• Work closely with the sales, marketing, and finance teams to align sales strategies with IOP.

• Collaborate with IT teams to ensure the smooth integration of data sources into Power BI and other reporting systems.

• Support the development and refinement of data processes and reporting standards across the organization.

Training and Development:

• Partner with training team to infuse analytical thinking across the commercial team, enhancing data literacy and decision-making capabilities within the organization.

• Lead workshops and training sessions on the use of BI tools and data comprehension.

What we're looking for:

• Education: Master’s degree in Data Science, Statistics, Business Analytics, or a related field.

• Experience: 3+ years of experience in a data science role, preferably within a commercial or business-driven environment.

• Strong expertise in statistical analysis, data processing, visualization, machine learning etc.

• Advanced proficiency in data processing, visualization, and analytics tools such as Power BI, SQL, R, and Python.

• Familiarity with data platforms (e.g., Snowflakes) and experience working with large-scale datasets.

• Commercial acumen with a deep understanding of how data science can drive business growth, revenue, and efficiency.

• Experience in the biotech or healthcare industry is highly desirable.

• Expertise in statistical and mathematical methodologies for data analysis.

• Experience with CRM systems (e.g., Salesforce, C4C) and sales performance data.

• Exceptional project management and organizational skills.

• Effective communication skills, capable of conveying complex data insights to non-technical audiences.

• Proven ability to foster a collaborative team environment.

• Strategic thinking and proactive problem-solving abilities.

Disclaimer:

The above statements are intended