About The Position

The Business Insights and Analytics (BIA) team is seeking an Associate Director to lead its business performance sub-team. This pivotal "Quarterback" role will partner with cross-functional teams across Digital Human Health (DHH) to deliver business insights that will help drive marketing strategy and execution as well as enhance customer experience and engagement. Time allocation for this role consists of 80% leading analytics and 20% presenting and working directly with key marketing stakeholders. Responsibilities: Leadership and Mentorship: Lead a team of business analysts, providing guidance on best practices in data analytics, data visualization and storytelling with data. Business Translation: Translate complex business needs and priorities into analytical plans, providing actionable insights and effectively communicating advanced analytics to inform business decisions. Collaboration: Work closely with HHDDA colleagues (i.e., data visualization, data solutions) and Marketing stakeholders to deliver best-in-class solutions and data-driven insights. Project Management. Manage analytics and digital solutions projects to deliver actionable and meaningful insights to marketing stakeholders in a timely manner. Staying Abreast with Industry Trends: Stay current with industry trends and advancements in analytical methodologies to enhance organizational analytic capabilities. Innovation and Experimentation with Agile Mindset in Mind: Contribute to innovative experimentations, focusing on idea generation, incubation, and using tangible, measurable criteria to make incremental meaningful improvements to the business processes and strategies using data. The following skills and knowledge are needed to be successful in this role: Understanding of the pharmaceutical commercial analytics and business acumen Expertise: Deep understanding of the unique opportunities and challenges with ability to use analytics to solve business problems. Communication and Storytelling: Derive actionable business insights from secondary-data sources and communicate them effectively to business stakeholders. Decision Making and Critical Thinking: Identify and understand problems and opportunities, analyze quantitative and qualitative information, establish decision criteria, generate and evaluate alternatives, and make timely decisions. Emotional Intelligence: Build trust, encourage two-way communication, and strengthen relationships. Able to navigate relationships with stakeholders while achieving business results. Networking and Partnerships: Build and leverage relationships within and across stakeholder groups and within HHDDA to achieve results. Complex Data Management: Substantial experience in interpreting complex datasets, particularly patient claims data.

Requirements

  • Bachelor’s degree in relevant field (Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, etc.)
  • 5+ years of relevant experience delivering complex analytical projects in the pharmaceutical/biotech/healthcare industry
  • Prior hands-on experience working with healthcare business performance data
  • Understanding of the pharmaceutical commercial analytics and business acumen Expertise: Deep understanding of the unique opportunities and challenges with ability to use analytics to solve business problems.
  • Communication and Storytelling: Derive actionable business insights from secondary-data sources and communicate them effectively to business stakeholders.
  • Decision Making and Critical Thinking: Identify and understand problems and opportunities, analyze quantitative and qualitative information, establish decision criteria, generate and evaluate alternatives, and make timely decisions.
  • Emotional Intelligence: Build trust, encourage two-way communication, and strengthen relationships. Able to navigate relationships with stakeholders while achieving business results.
  • Networking and Partnerships: Build and leverage relationships within and across stakeholder groups and within HHDDA to achieve results.
  • Complex Data Management: Substantial experience in interpreting complex datasets, particularly patient claims data.

Nice To Haves

  • MBA, MS, or PhD
  • Prior experience managing and mentoring direct reports
  • Delivers statistical and mathematical models through effective technical skills
  • Develops efficient programming code and software assets that provide advanced analytical functionality.
  • Creates analytical products (product parts) as a part of broader teams
  • Understands the business context, challenge, limitation, constraints and goals to effectively match the capability of the statistical and mathematical and M/L approaches to the business, scientific and operational challenge
  • Ensures advanced analytics support to decision making and business process tasks is understood, adopted and embedded as a part of regular business activities
  • Promotes a collaborative and high performing data driven culture across the company and high quality delivery standards among fellow data scientists
  • Includes specializations within domains, such as therapeutic area and data assets (e.g., claims, EMR)
  • Sometimes specific roles include incremental skills pertaining to AI and M/L methods, Marketing Effectiveness Measurement, or test vs control and design of experiments.
  • Analyze data using advanced analytical/statistical techniques from various databases/sources (claims data/EMR data and other sources) to optimize and improve therapy area commercial business strategies.
  • Ensure delivery of high-quality, timely, compliant analyses with excellent user experience (keep clients updated on progress).
  • Communicate with other platforms/competencies to understand new trends/methodologies being implemented or considered within the company ecosystem and bring forward new ideas to enhance analytic capabilities.
  • Contribute to innovative experiments, including idea generation, incubation, and experimentation, by identifying tangible and measurable criteria.
  • Effectively communicate with and influence stakeholders positively.

Responsibilities

  • Lead a team of business analysts, providing guidance on best practices in data analytics, data visualization and storytelling with data.
  • Translate complex business needs and priorities into analytical plans, providing actionable insights and effectively communicating advanced analytics to inform business decisions.
  • Work closely with HHDDA colleagues (i.e., data visualization, data solutions) and Marketing stakeholders to deliver best-in-class solutions and data-driven insights.
  • Manage analytics and digital solutions projects to deliver actionable and meaningful insights to marketing stakeholders in a timely manner.
  • Stay current with industry trends and advancements in analytical methodologies to enhance organizational analytic capabilities.
  • Contribute to innovative experimentations, focusing on idea generation, incubation, and using tangible, measurable criteria to make incremental meaningful improvements to the business processes and strategies using data.

Benefits

  • The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
  • We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.
  • More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
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