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Director​/Senior Director, Strategic Analytics & Reporting

Remote / Online - Candidates ideally in
Fall River, Bristol County, Massachusetts, 02720, USA
Listing for: Karyopharm Therapeutics Inc.
Remote/Work from Home position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Director / Senior Director, Strategic Analytics & Reporting

Role Overview & Key Functions:

We are seeking a highly skilled and motivated Commercial Analytics Lead with a strong background in statistical analysis, data modeling, visualization, reporting, and predictive modeling. The ideal candidate will have experience in leveraging a variety of data analytics tools including data science, machine learning, and programming languages to analyze large datasets, draw insights, and support decision‑making processes.

  • Lead the development and implementation of sales force strategies, including targeting, field team sizing, and incentive compensation plans, to drive sales productivity and improve business performance.
  • Guide and develop analytics for all commercial activities and departments, providing actionable insights and recommendations for effective decision‑making.
  • Foster a culture of continuous learning and professional development, while mentoring team members to support individual and team success.
  • Leverage data and insights to clearly communicate the health of the business, while providing strategic guidance for growth and improved business outcomes.
  • Design and implement field operation needs, such as CRM, Power BI reporting, and targeting lists, to ensure data quality and accuracy.
  • Maintain the highest standards in commercial data, reporting, and analytics, while proactively sharing insights to uncover new growth opportunities.
  • Collaborate closely with various functional stakeholders, such as Sales, Marketing, Patient Support and Services, Access and Reimbursement, IT, and Finance to ensure cross‑functional alignment and execution of commercial strategies.
  • Manage relationships with data vendors, ensuring the quality of final products and maintaining high standards of data integrity.
  • Support commercial initiatives and product performance assessment with relevant analytics and insights.
  • Support the development of the company's Data Warehouse and reporting capabilities, supporting pre‑launch planning and launch execution.
  • Develop and implement weekly, monthly, and quarterly dashboards for various internal stakeholders, utilizing data‑driven insights to inform strategic decision‑making.
  • Analyze multiple data sources, KPIs, trends, and market events to provide strategic insights on business performance.
  • Process, analyze, and visualize patient claims data, providing reliable reporting on key metrics.
  • Ensure accurate and timely delivery of weekly, monthly, and quarterly reporting of brand's performance to senior management and the broader commercial organization.
  • Use predictive modeling to enhance and optimize business outcomes.
Candidate Profile & Requirements:
  • Bachelor’s degree in Statistics, Engineering, Computer Science, Mathematics, Economics, Data Science, or related quantitative field required; advanced degree preferred.
  • Director:
    Minimum 8–10 years of relevant experience in commercial analytics, business analytics, or data science.
  • Senior Director:
    Minimum 10–12+ years of relevant experience with increasing leadership responsibility.
  • Experience supporting biopharmaceutical commercial organizations, including sales, marketing, market access, or patient services analytics.
  • Demonstrated experience translating complex data into actionable insights to support commercial strategy, performance reporting, and launch readiness.
  • Proficiency with SQL and analytics programming languages (Python or R) and experience with data visualization tools such as Power BI, Tableau, or similar platforms.
  • Strong analytical, communication, and cross‑functional collaboration skills.
Preferred Qualifications
  • Engineering degree is preferred.
  • Experience with big data technologies like Hadoop, Spark, or similar.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Familiarity with deep learning frameworks like Tensor Flow, Keras, or PyTorch.
  • Strong portfolio showcasing applied data science projects.

Remote/hybrid working arrangement is eligible: may work from home / virtually; may also work hybrid on‑site‑virtual as required/approved by hiring manager.

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Position Requirements
10+ Years work experience
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