Job Description

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.
Skills Required
Salesforce, Spotfire, Power Bi, Tableau, Python, Sql

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