Bayer

Associate Director Secondary Data Analytics

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Posted On:
Closing On:
Tuesday, 17th October 2017
Sunday, 17th December 2017
Job Type:
Pharma Manufacturer
Duration:
Travel:

Job Description:

To apply, please visit https://career5.successfactors.eu/sfcareer/jobreqcareer?jobId=10048&company=C0003153479P&username

The primary responsibilities of this role, Associate Director Secondary Data Analytics, are to: 

  • Serve as proactive, consultative business partner who interfaces with all key brand stakeholders and support their data analytics needs;
  • Provide strategic and tactical analytical support and recommendations to the team, through the analysis and interpretation of secondary market research data;
  • Work with large specialty pharmaceutical data set to provide a comprehensive view of market, noting strengths and weaknesses of the data / approach;
  • Leverage incomplete dataset to support go local strategy;
  • Develop customer-focused longitudinal view (e.g., patient) to optimize business opportunity (e.g., adherence);
  • Support product and market opportunity assessments, situational analyses, trend identification, market sizing, and competitive landscape research;
  • Manage metrics to track brand strategy, tactics and market performance;
  • Develop and operationalize ongoing reporting needs;
  • Partner with Commercial Analytics to design and measure Pilots & Experiments;
  • Support quick turnaround return on investment analysis to course adjust brand team investment;
  • Lead secondary data collection in support of Commercial Analytics pipeline projects, including Call Plan Creation Process, Marketing Mix and Market Access analytics;
  • Support implementation of organization-wide reporting and return on investment analytics for the global Integrated Multichannel Marketing (IMCM) initiative;
  • Proactively identify business opportunities and insights through secondary data mining;
  • Drive implementation of business strategies with commercial colleagues;
  • Work with Data Warehouse team to be an expert and effective liaison with third party data, e.g., IMS, Symphony for Business Insight team;
  • Create a strategic advantage for the brand by combining the best available information with the best tools to drive decision making and evaluation of results from a strong basis in data and robust analytics.

 

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

  • Bachelor’s degree, Post-graduate degree (Master’s/Ph.D.) in quantitative field highly desired (Statistics, Management Science, Operations Research, Engineering, Accounting, Business, Marketing, etc.);
  • Proven team and project leadership skills, and ability to work independently;
  • Strong analytical/quantitative skills and knowledge with the ability to understand the big picture;
  • Ability to appropriately challenge "prevailing wisdom," ensuring decisions and assumptions are based on best available information;
  • Strong verbal and written communication skills, as demonstrable in oral management presentations, succinct PowerPoint stories and layout, as well as structured syntheses and recommendations;
  • Five (5) or more years of relevant full-time work experience, of which two (2) or more years of recent experience in U.S. healthcare marketing analytics;
  • Experienced in identifying and retrieving appropriate data and analyzing secondary market research audits and resources (e.g. IMS, Symphony, Specialty Pharmacy);
  • Expert in handling and analyzing various data types (e.g., patient longitudinal, claims data, distribution, sales, demand, units, promotion);
  • Record of professional success, demonstrated through above-average performance reviews, promotions and relevant “extracurricular" activities/ engagements.

 

Preferred Qualifications:

  • Understanding of specialty pharmaceutical data;
  • Programming/Coding proficiency and experience and/or understanding of other statistical tools (e.g., SAS, R);
  • Specialty Pharmaceutical or 'Rare Disease' experience.

Preferred Skills:

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