Need SAS statistical Consultant Advanced Analytics- Data Science

Please send resumes to durgaprasad@sparinfosys.com

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Appreciate your responses with updated word profile, contact details and rate specifications.

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Role- Advanced Analytics- Data Science

Location- Danbury, CT

Duration: 6-12 months

 About the Role

·         Drive complex consulting statistical projects in payer space and possibly marketing analytics for a large US based pharmaceutical client

·         Delivery management of analytics projects. May eventually require leading a team of data scientists based in US as well as India

·         Transform client business problems into technical problems, translate business requirements and unstructured business issues into data analytic problems

·         Work with data scientists to identify data needs, sources, and structure to support client issues

·         Track and communicate project risks, proactively broaden and deepen client relationships by managing client relations with senior-level clients

·         Establish and successfully execute multiple engagements in parallel

 

Requisite Skills

·         Experience in building statistical analytics solution in healthcare or life science domain with hands on experience in SAS or R or other statistical platform

·         Strong in statistical concepts and statistical solutions

·         Good knowledge of Payers, Pharmacy Benefit Management, Sales and Marketing Space with experience in Pharma datasets, business rules and key performance indicators

·         Experience building solutions in payer analytics such as Spillover, Copay Optimization

·         Worked in multiple therapy areas

·         Client consulting skills including ability to build relationships with clients, potentially with C-level executives

·         Good communication skills with the ability to explain technical data analysis results to business and business processes, challenges and issues to technical team

·         Demonstrated project management skills, with the ability to manage multiple simultaneous projects

 

Good to Have

·         Experience building solutions in Marketing Analytics space such as Digital Marketing, Customer Experience

·         Exposure to Machine and Deep learning concepts. Supervised, unsupervised, semi-supervised and reinforced learning concepts exposure

·         Exposure to Big data tools and technologies. Ability to pick up new analytics skill sets and technologies 

·         Digital Enablement

·         Exposure to various visualization, BI, data analysis and presentation tools.

·         Working with senior stakeholders ideating on their analytics and defining actionable analytics solutions synchronized with their strategies, managing delivery with a cross functional team.

·         Experience of RFP response will be added advantage

·         Aware about recent developments in pharma space, emerging data and analytics solutions

 

Thanks

Durga Prasad

Spar Information Systems

Email:durgaprasad@sparinfosys.com

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