Consultant/Sr. Consultant @ Flyder Immigration Llp

Job Description

: You will provide advanced analytical and strategic support to pharmaceutical clients on SFE projects and will be responsible to share the insightful results and solution independently. In this opportunity, you will work in an international, innovative and engaging environment and help the team in building the SFE skills within Solutionec. You will challenge yourself to grow, excel and develop on relevant capabilities and learn how to perform and evolve within fast, complex, and transformative changes across Solutionec and customers. Key responsibilities: Work with Europe & US Pharma clients to understand their analytics and business needs for developing and delivering solutions that will provide critical insights through sophisticated quantitative analyses and data modelling Projects will be primarily related to (but not limited to) marketing analytics, competitive intelligence, incentive compensation, customer targeting, and call planning (response model based), sales force design, promotion evaluation, ad-hoc analysis and reporting Perform marketing analytics to optimize sales / brand effectiveness (campaign ROI analysis, segmentation, forecasting, longitudinal patient level analysis, and develop interactive dashboards that visualize KPI) 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 Provide strategic approach to the problem statement within the pharma analytics space Education/Experience/Skills: 6 to 10 years of related experience in Sales/Brand analytics, commercial operations Graduate/Post-graduate Degree or equivalent experience required in Statistics, or healthcare related major with quantitative background is preferred. Graduate/Post-graduate Degree in Statistics/ Life Sciences from a premier institute is good to have. PG in business administration with a Marketing related specialization is preferred. Should demonstrate strong fundamentals on domain, project management, client influencing and relationship building skills. Strong analytical, problem solving (qualitative and quantitative), interpersonal, and presentation skills. Prior experience working on Segmentation & targeting, driver analysis, indication split, disease detection, geospatial models, scoring models, network analysis, supply chain analytics. Strong understanding and hands on about the healthcare commercial datasets: Finance, Audited (Sales MMIT, DRG, FF, IQVIA NPA, IQVIA DDD, symphony, DRG), CRM/SFE/MCE, Social media and etc. Strong understanding of fundamental processes across pharmaceutical commercial business, their interaction, and the impact of external/internal influences on effectively develop and deliver forecasts as well as on decision making. Strong capability in juggling priorities so that deadlines are met while retaining consistently high-quality outcomes. Excellent interpersonal skills and ability to work effectively with others in and across the organization to accomplish team goals. Ability to think creatively and strategically. Strong with Excel/ SQL; some familiarity with SAS, R or Python is a nice to have. Experience in Oncology/Specialty Products/Rare disease is a nice to have. Experience in machine learning (k-means, hierarchical clustering, LCA, PAM, etc) is a nice to have In-depth understanding of coding languages (Java, JavaScript). Sound knowledge of various operating systems and databases. Efficient communication skills. Strong organizational and leadership skills

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Hospital Management / DirectorNursing
Functional Area: Not Applicable
Role/Responsibilies: Consultant/Sr. Consultant

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Keyskills:   Commercial operations Statistics Healthcare Project management Relationship building Analytical skills Problem solving Interpersonal skills Presentation skills Network analysis Finance Social media Forecasting Excel SQL SAS R Python Oncology Machine learning Coding languages Operating systems Databases Communication skills Leadership skills SalesBrand analytics Client influencing Segmentation targeting Driver analysis Indication split Disease detection Geospatial models Scoring models Supply chain analytics Healthcare commercial datasets Audited datasets CRMSFEMCE Pharmaceutical commercial business Decision making Specialty Products Rare disease Organizational skills