Sr. Business Consultant, Pharma Sales and Marketing
Saama, Campbell, CA, United States
Sr. Business Consultant, Pharma Sales and Marketing
Saama is seeking a Sr. Business Consultant for our Life Sciences Consulting practice, who has the experience and deep understanding of Pharma Sales Operations and Marketing. As a lead consultant, you will be a crucial leading member of a fast growing team focused on analytics solutions and consulting engagements.
You will be expected to lead delivery of client projects; provide leadership, coaching and direct supervision to project staff; build/nurture client relationships; and lead/participate in analytics solution development and innovation efforts. Working independently under limited supervision, you are expected to help plan, analyze, design, and develop business analytics solutions for complex business problems. This person will work very closely with both the Business and I.T., at all levels, to ensure successful delivery of solutions.
Position Requirements and Responsibilities Core Expertise:
Data Analysis and Insights Building
Business Process Operations and Improvement
End to End As-Is & To-Be Business Process Mapping
Advanced Analytics and Reporting Solutions
Pharma Domain Expertise:
Sales Data Analytics and Reporting (Integrated HCP - HCO by Sales, Rx, and Claims data)
Segmentation and HCP/HCO Targeting knowledge required
New Product Launch Strategy and Analytics
HCP to HCO to GPO/IDN Affiliations Management
Territory Alignment Solutions
Incentive Compensation Management (IC Data/Reporting)
Deep expertise with Claims data (Symphony or IQVIA )
Commercial Data Management Strategies
Data Expertise (IQVIA, DRG, HealthLeaders, Symphony, CMS, EHR/PHR, SP, SD)
Consulting Skills:
Demonstrate a logical, rigorous, and analytical problem-solving approach, leading requirements gathering sessions and preparing and delivering client presentations and work products
Experience writing uses cases, user stories and acceptance criteria
Experience with external facing applications planning and design
Experience with Waterfall, Agile/Scrum project delivery methodologies
Communicate business findings and strategic recommendations to senior management.
Be able to write client ready decks with few iterations under the guidance of a more senior consultant (e.g. can structure complex analysis involving multiple quantitative and qualitative datasets and all required activities, can structure horizontal and vertical logic of decks)
Be able to outlines initial storyboard of decks of more complex problems without or with minimal support from senior
Conduct and document complex business analysis
Ability to adapt to change, work independently, organize work effectively and take initiative in fast-paced work environment while managing multiple tasks and deliverables simultaneously
Become a thought leader and Subject Matter Expert (SME) for specific analytics driven business problems.
Skilled at analyzing complex issues and distilling concepts to clients
Able to proactively identify risks, and drive action to mitigate and resolve issues
Strong analytical and interpersonal communication skills, with the ability to work independently
Strong organizational skills and the ability to manage a vast array of information
Broad understanding of the role of data management, information flow, and data governance issues
Able to serve as a liaison between both business and technical teams to drive effective, timely solutions that fulfill both strategic and operational needs
Skilled at defining and documenting business processes and requirements for ongoing system enhancement initiatives
Firm sense of accountability, ownership for end-to-end project lifecycle
Excellent verbal, written and presentation skills, with the ability to interact efficiently with technical and non-technical groups
Technical Expertise:
Advance level presentation skills required: Powerpoint, Google slides
Data Analysis: SQL, SAS, MS Excel and Access Expert.
Experience with data discovery, analytics and reporting tools preferred (e.g. Qlikview, Tableau, Power BI)
Demonstrated advanced level analytical skills are required.
Systems and tools knowledge preferred (MDM, SFDC CRM, Field Support Tools).
Data Warehouse experience (design, development and/or implementation) is a plus.
Statistical experience (SAS, R, WPS, Python) is desirable.
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You will be expected to lead delivery of client projects; provide leadership, coaching and direct supervision to project staff; build/nurture client relationships; and lead/participate in analytics solution development and innovation efforts. Working independently under limited supervision, you are expected to help plan, analyze, design, and develop business analytics solutions for complex business problems. This person will work very closely with both the Business and I.T., at all levels, to ensure successful delivery of solutions.
Position Requirements and Responsibilities Core Expertise:
Data Analysis and Insights Building
Business Process Operations and Improvement
End to End As-Is & To-Be Business Process Mapping
Advanced Analytics and Reporting Solutions
Pharma Domain Expertise:
Sales Data Analytics and Reporting (Integrated HCP - HCO by Sales, Rx, and Claims data)
Segmentation and HCP/HCO Targeting knowledge required
New Product Launch Strategy and Analytics
HCP to HCO to GPO/IDN Affiliations Management
Territory Alignment Solutions
Incentive Compensation Management (IC Data/Reporting)
Deep expertise with Claims data (Symphony or IQVIA )
Commercial Data Management Strategies
Data Expertise (IQVIA, DRG, HealthLeaders, Symphony, CMS, EHR/PHR, SP, SD)
Consulting Skills:
Demonstrate a logical, rigorous, and analytical problem-solving approach, leading requirements gathering sessions and preparing and delivering client presentations and work products
Experience writing uses cases, user stories and acceptance criteria
Experience with external facing applications planning and design
Experience with Waterfall, Agile/Scrum project delivery methodologies
Communicate business findings and strategic recommendations to senior management.
Be able to write client ready decks with few iterations under the guidance of a more senior consultant (e.g. can structure complex analysis involving multiple quantitative and qualitative datasets and all required activities, can structure horizontal and vertical logic of decks)
Be able to outlines initial storyboard of decks of more complex problems without or with minimal support from senior
Conduct and document complex business analysis
Ability to adapt to change, work independently, organize work effectively and take initiative in fast-paced work environment while managing multiple tasks and deliverables simultaneously
Become a thought leader and Subject Matter Expert (SME) for specific analytics driven business problems.
Skilled at analyzing complex issues and distilling concepts to clients
Able to proactively identify risks, and drive action to mitigate and resolve issues
Strong analytical and interpersonal communication skills, with the ability to work independently
Strong organizational skills and the ability to manage a vast array of information
Broad understanding of the role of data management, information flow, and data governance issues
Able to serve as a liaison between both business and technical teams to drive effective, timely solutions that fulfill both strategic and operational needs
Skilled at defining and documenting business processes and requirements for ongoing system enhancement initiatives
Firm sense of accountability, ownership for end-to-end project lifecycle
Excellent verbal, written and presentation skills, with the ability to interact efficiently with technical and non-technical groups
Technical Expertise:
Advance level presentation skills required: Powerpoint, Google slides
Data Analysis: SQL, SAS, MS Excel and Access Expert.
Experience with data discovery, analytics and reporting tools preferred (e.g. Qlikview, Tableau, Power BI)
Demonstrated advanced level analytical skills are required.
Systems and tools knowledge preferred (MDM, SFDC CRM, Field Support Tools).
Data Warehouse experience (design, development and/or implementation) is a plus.
Statistical experience (SAS, R, WPS, Python) is desirable.
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