Trade Business Analytics

Payrate up to $90/hr based on experience 12+ month contract (potential to extend or convert based on performance & budget)

Location:

Remote Must have experience with Pharmaceutical Trade Data Analytics Overview:

Business Analyticsrolesupportsmultiplecustomergroupsand/ortherapeuticareas&willbeanexpertinstatisticalmethodologiesformeasuringmarketingimpact,willhaveabroadunderstandingofthepharmaceuticalindustryandadeepfamiliaritywithindustrydatasources.

Therolerequiresusingsophisticatedanalyticsforprojectsincludingmarketingmixmodeling,ROIanalysesonallrelevantmarketingprograms/customerchannelsandpromotionalspends,customerprofilingandsegmentation,andpredictivemodeling.

Responsibilitiesincludetheconductingandinterpretationofadvanceanalyticstosupportdecisionmakingonpromotionalstrategiesandeffectiveness(ROIand Marketing Mix analysis ),supportbrandplanning/fieldforceevolutionactivitiesandserveasinputstotheforecastingprocess.

• Conduct advanced analytics to brand teams/ customer channels in support of brand planning and promotional resource allocation, resource allocation in customer channels and evolution of commercial model.
• Liaison between Marketing and Sales in the development of business tactics and strategies.
• Responsible for leading the development of targets and segments that are aligned with business strategy.
• Responsible for executing departmental procedures and collaborating within the organization to ensure the marketing strategy is integrated into the delivered sales force call plans.
• Work with internal customers to assure that responsible analytical results are communicated and used effectively.
• Build and share knowledge of analytical methodologies and high-quality vendors with others in the department.
• Establish work habits to support the therapeutic business function's evolving process and execution needs.
• Will work with data from Manufacturer to Wholesale to Pharmacy – wholesale data.

• Pharmaceutical Trade Data Analytics.
• Electronic Data Interchange (EDIs'849/852/867)
• Bachelor's degree from an accredited institution in Mathematics, Statistics, Engineering, Business / Data analytics, or related equivalent and seven (7) years of analytic experience with relevant data sources and digital analytical methodologies, or a Master's degree from an accredited institution in Mathematics, Statistics, Engineering, Business / Data analytics, or related equivalent and five (5) years of experience with relevant data sources and analytical methodologies.