Job Description:

• Work with clients to understand their analytics and business needs for developing and delivering solutions that will provide critical insights through sophisticated quantitative analyses and data modeling
• Deliver operational analytics, sales operations or business technology oriented projects for sales operations teams within the Life Science industry. Projects will be primarily related to (but not limited to) incentive compensation, customer targeting, and call planning (response model based), sales force design, promotion evaluation, ad-hoc analysis and reporting
• Apply advanced statistical, econometric and optimization models and algorithms to real-world business problems
• Work hands-on with client business teams with limited or no supervision
• Make presentations and recommendations to clients on optimal customers, sales, and marketing strategies and tactics
• Design project plans and manage client expectations and communication plans for project delivery. 
• Create documents such as business requirements, functional requirements, business rules, analytics plans, quality checklists, etc. for use by both internal and external customers
• • Contribute in business development efforts by creating sales pitches, case studies, solutions for business problems
• Mentor junior staff

• BA/BS Degree or equivalent experience required in Statistics, Economics, or any other healthcare related major with quantitative background is preferred. Advanced degree in a relevant area is desirable but not necessary. 
• 3+ years of related experience in Sales/Brand analytics, commercial operations
• Sales Operations experience directly in life sciences is significantly valuable

• Advanced SAS programming
• Knowledge of various data source such as Xponent, APLD, DDD, HCOS (from IMS or Symphony), Specialty Data, Calls, Sample, Claims, etc. 
• Relevant expertise in using data-handling tools including SAS, Excel, and SQL, and able to quickly master new packages when needed
• Analytical problem solving skills, able to identify and link patterns among data sets, analyze and extrapolate market trends and patterns, and to distill large data sets into meaningful information
• In-depth understanding of purpose and process of certain areas in SFE and MS, as well as of the linkage between other business areas. Must be able to assess the impact of other areas and provide business and technical solutions 
• Presentation skills, good at developing and presenting findings and recommendations from analysis and reporting to key internal and external customers
• Effective oral and written communication skills that enable personal impact with senior-level decision makers
• Able to manage multiple projects, priorities, resources and timeline
• Strong attention to detail, with a quality-focused mindset
• Promotes and generates innovation and cooperation within and cross team to achieve a collective outcome

Preferred Skills: