Description

　　This role is based on-site at our Ridgefield, CT location with hybrid flexibility of 2-3 days per week on-site.

　　The Sr. Associate Director Omnichannel Analytics is responsible for supporting BIPI Sales, Marketing and the Payor team in the following key areas: Omnichannel Analytics, Orchestration Engine / Model development with the knowledge of physician targeting, segmentation, sample optimization, analysis and reporting on the effectiveness of sales and marketing promotional strategies, and performance monitoring. Responsibilities include the conducting, interpretation, and communication of advance analytics to support decision making on promotional strategies and effectiveness (ROI and Marketing Mix analysis), support brand/field force planning activities and serve as inputs to the forecasting process. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.

　　Duties & Responsibilities

　　Provide reliable and accurate reports, analyses, and recommendations to senior business leaders to support decision making on promotional strategies and effectiveness for omnichannel suggestion analytics.

　　Conduct advanced analytics to brand teams and customer channels in support of brand planning and resource allocation across promotions and channels for omnichannel suggestion driven engagements.

　　Liaison between Marketing and Sales in the development of business tactics and strategies.

　　Communicate insightful and meaningful results to and understand needs of senior brand and corporate managers and share strategic direction with Business Analytics staff. Be able to present to and influence senior management and advice on strategic direction, where required.

　　Develop the technical/behavioral competencies in analysts/department staff through the design and execution of ongoing knowledge sharing and training initiatives.

　　Independently lead strategic projects that inform and impact significant business decisions.

　　Requirements

　　Bachelor´s degree from an accredited institution required.Master´s/PhD preferred.

　　BS/BA in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with eight (8) years, or Masters degree in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with six (6) years of healthcare/pharmaceutical industry or academic experience. Experience must also include working directly with product segmentation, benchmarking, score-carding, targeting, and promotion-response modeling.

　　Strong statistical background with extensive modeling experience.

　　Proficiency in SAS and other data extraction and analytical tools such as SQL. Experience with Excel and Power Point.

　　Strong interpersonal abilities, can manage multiple projects and direct reports at the same time.

　　Functional competencies: Analytical skills, Business orientation, influence

　　Compensation Data

　　This position offers a base salary typically between $135,000 and $232,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements.

　　All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.