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Director Advanced and omnichannel analytics (MI)
Nutley, NJ
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The Director, Advanced & Omnichannel Analytics will collaborate with Marketing Insights, Commercial Analytics, Marketing, and Managed Markets teams to provide deeper understanding of relationship between action and results, ultimately contributing towards Company’s evolution from “reporting on the past” to “predicting the future”. The role will also be involved with Company Ecosystem data projects helping to provide analysis to uncover patient insights getting to true patient needs. This position will be a leader within the Business Intelligence organization and a valued partner to our cross functional stakeholders in building, enhancing and maintaining a Data driven decision making culture, utilizing best in class methodologies, processes, and strategies and will be a trusted thought partner in enterprise decision making.

Essential Functions

  • The Director Advanced & Omnichannel Analytics will be expected to direct the use of advanced analytical techniques utilizing a broad range of data assets to monitor demand shifts, measure performance, develop marketing mix models to optimize our investments, inform planning and predict market actions.
  • Advance the organizational capability in design, development, and implementation of modern data analytic applications and best practices while contributing to the creation of an analytics driven decision making culture.
  • Utilize expertise in univariate and multivariate techniques, including General and Generalized Linear Models, Structural Equation Modeling, various segmentation methodologies, etc.
  • Drive the adoption of data driven decision making processes across the enterprise promoting a culture of data literacy and data informed strategies.
  • Develop fact-based promotional investment strategies and guide investment decisions from marketing mix/business optimization and other analysis to optimize performance, influence business growth & inform the annual financial forecasting and brand planning process.
  • Develop near-term KPIs and longer-term ROI measurements that will inform recommendations to optimize personal and non-personal promotional channels while developing and executing on a comprehensive omnichannel analytics strategy aligned with the company's sales and marketing objectives.
  • Leverage innovative, sophisticated analytic models that address critical issues but also meet key business criteria (e.g., cost, risk, business impact) and key technical criteria (e.g., reliability, validity, and predictability).
  • Utilize segmentation insights to personalize marketing content and recommendations while also analyzing customer behavior and preferences to identify meaningful audience segments.
  • Collaborate/Partner with cross-functional teams including sales, marketing, and commercial teams to develop targeted strategies based on customer segments and generate strategy for integrated omnichannel promotion for execution while offering strong, concise and articulate analyses that include insights, proposals, and recommendations.
  • Blends omnichannel, analytics, marketing, patient and therapeutic are expertise and orchestrate appropriately with internal teams and partners including – data science, market research, marketing strategy, and market access, while proposing insights and actionable solutions to be considered by appropriate leadership.
  • Define and measure key performance indicators (KPIs) to assess the effectiveness of omnichannel marketing campaigns.
  • Be a thought leader within the organization for omnichannel analytics by proposing and implementing innovative approaches to enhance the effectiveness of omnichannel data analytics.
  • Proactively propose analytical solutions to business inquiries and problems, and implement suggested methods and solutions.
  • Provide strong, concise and articulate analyses that go beyond a presentation of the facts, to include a dialogue with matrix partners on the associated business implications, to include insights, proposals, and recommendations.

Minimum Qualifications

  • Bachelor's Degree in Computer Science, Statistics, Economics, or other related fields.
  • 10+ years total industry minimum experience
  • Experience with statistics and advanced analytics such as ROI measurement, regression analysis, and optimization, supporting marketing business applications.
  • Minimum 5 years of pharmaceutical industry experience, including support of Oncology or Institutional Care products.
  • Excellent communication and presentation skills, including experience with presenting to senior management and ability to explain complex concepts to a non-technical audience.
  • Proven ability to effectively analyze mass amounts of data and provide key business insights to inform business decisions.
  • Proficiency in data analytics tools and software, as well as a strong command of data visualization tools to present findings effectively.
  • Experience with analyzing customer behaviors and preferences to identify meaningful audience segments.
  • Experience with leading projects or project teams.
  • Considerable experience in solving business problems with advanced analytical solutions
  • Proven experience in conducting statistical analysis and building predictive models with advanced scripting language such as R, SPSS, or other analytic tools.
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling.

Preferred Qualifications:

  • Masters Degree in related field.
  • Familiar with frequently used pharmaceutical data sources.
  • 5 years of progressive pharmaceutical experience in Data Analytics and Omnichannel Enablement type function specifically in a Health Care, Health Sciences, Pharmaceutical or Biotech environment.

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