About the Job

The Associate Director Analytics & Forecasting is responsible for leading the development and execution of analysis to deliver timely and actionable insights that drive strategic planning and business operations activities across Foundation Medicine. This position is also responsible for near-term and long-term volume forecasting.

We are seeking a team-oriented individual who thrives on finding innovative solutions to complex business questions using data. The ideal candidate excels in a fast-moving and dynamic environment. This is an important position in ensuring the vision and mission of FMI are realized.

Key Responsibilities

• Lead analytics activities, including sales and marketing analytics, customer targeting, segmentation, and customer behavior analytics.
• Regularly assess and evaluate the impact of market and competitive trends on FMI product, portfolio, and market growth.
• Proactively seek to understand business needs, priorities, and scope of work to continually refine and enhance our forecasting coverage and focus areas.
• Create and validate short and long-range forecasts.
• Proactively provide insights and recommendations on opportunities for growth to support decision- making across the organization.
• Keep abreast of the diagnostic and oncology markets to ensure development of robust, strategic assessments.
• Proactively collaborate across with internal partners to incorporate a broad, holistic market perspective into assessments.
• Develop and execute advanced analytical and statistical methods to answer a variety of business questions using multiple data sources and tools.
• Produce and present executive-level presentations on market and opportunity assessments with strong, logical, data-driven analysis.
• Other duties as assigned

Qualifications:

Basic Qualifications:

• Bachelor’s degree in a quantitative discipline (Statistics, Engineering, Mathematics, Data Science, etc.) with 10+ years of professional experience
• 8+ years of hands-on experience in the design and implementation of advanced analytics or quantitative science methods in the healthcare industry

Preferred Qualifications:

• MBA or Advanced degree (PhD, MS) in a data-related field with a substantial scientific and statistical component
• Prior management consulting experience
• Experience in large-scale healthcare data analysis and industry models/standards; analyzing data from traditional healthcare databases (electronic medical records, claims, etc.)
• Prior experience with pharmaceutical sales, marketing, and medical claims data sets (IMS, SDI, Symphony, Flatiron)
• Expertise with a variety of statistical analysis techniques (e.g., linear/logistic regression, cluster analysis, significance testing, factor analysis, ANCOVA)
• Advanced Microsoft Excel and PowerPoint capabilities
• Demonstrated ability to translate complex reports and analysis into simple ‘business speak’ and present results clearly and succinctly to internal stakeholders up to the executive level
• Demonstrated ability to identify new and innovative ways to overcome barriers and obstacles and to succeed in a rapidly changing environment
• Ability to work effectively in a fluid, cross-functional matrixed environment and collaborate effectively
• Ability to proactively “connect the dots” by asking thought-provoking questions
• Good problem-solving ability, breaking down complex problems into distinct parts, managing uncertainty, understanding, and anticipating interdependencies
• Ability to lean in and manage through change

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