This individual will leverage advanced analytics and data science techniques to support the Commercial Sales organization through actionable insights, predictive modeling, and data-driven strategies. The role is critical in enabling evidence-based decision-making, optimizing prospecting efforts, and driving commercial growth through sophisticated data analysis.

Key Responsibilities:

• Advanced Data Mining & Prospecting:
  Utilize prospecting tools (e.g., Informa Suite, Zymewire, LinkedIn Sales Navigator) and apply data science techniques to identify high-value prospects and optimize territory planning.

• Predictive & Prescriptive Analytics:
  Develop and implement predictive models to inform strategic decisions and prioritize sales efforts.

• Data Integration & Automation:
  Design and maintain automated data pipelines to consolidate information from CRM systems (SFDC), prospecting tools, and internal databases for real-time reporting.

• Visualization & Storytelling:
  Create dynamic dashboards and visualizations using Tableau, Power BI, Salesforce CRM Analytics, or Spotfire to communicate insights effectively to senior leadership.

• Sales Performance Analysis:
  Conduct deep-dive analyses on sales trends, pipeline health, and conversion metrics to identify growth opportunities and operational efficiencies.

• Cross-functional Collaboration:
  Partner with Sales, Marketing, and Operations teams to translate business questions into analytical solutions and actionable recommendations.

• Continuous Improvement:
  Stay current with emerging data science tools and techniques to enhance analytical capabilities and drive innovation within the Commercial organization.

Critical Success Factors:

• Strong analytical and statistical modeling skills

• Ability to translate complex data into actionable insights

• Proficiency in managing multiple projects in a matrix environment

• Effective communication with senior business leadership

Technical Skills:

• Advanced proficiency in Python or R for data analysis and modeling

• Expertise in SQL for data extraction and transformation

• Strong knowledge of data visualization tools (Tableau, Power BI, Spotfire)

• Familiarity with CRM systems (Salesforce) and commercial analytics tools

Experience Recommended:

• Minimum 5 years in data analytics or data science roles supporting sales or commercial functions

• Proven experience building predictive models and advanced analytics solutions

• Excellent written and oral communication skills

• Industry knowledge preferred

Education/Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field (Master’s preferred)

Learn more about our EEO & Accommodations request here.