Director - Supply Chain Analytics (Healthcare Domain)
Tiger Analytics, Granite Heights, Wisconsin, United States
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
Responsibilities
Work on the latest applications of data science to solve business problems in the Healthcare domain
Work directly with client stakeholders to translate business problems into high-level analytics solution designs
Experience in Supply Chain, advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions. In-addition experience in the Finance and Cash Management space is good to have.
Proficiency in using advanced analytics to drive business value, including ROI/value assessment, digital KPI tracking, campaign measurement, etc
Responsible for scaling pilots / POCs to a long-term, transformative program and delivering continuous business value
Experience leveraging complex data to drive business decisions, hands - on experience in data science methodologies (predictive analytics, machine learning, patient-level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI or Tableau for visualization.
Experience working across all levels of management and consulting with key business stakeholders.
Present analytical solutions to business audiences, highlighting the robustness of the solution and how it could help generate business value
Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytics solutions
Explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth.
Qualifications
12-16 years of professional work experience with at least 9 years in data analytics
Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
Solid understanding of statistical and machine learning algorithms
Strong knowledge of Lifescience and Pharma domain
Strong project management and team management skills and ability to work with global teams
Strong SQL skills and hands‑on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
Graduate in Business Analytics or MBA or equivalent work experience
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
Responsibilities
Work on the latest applications of data science to solve business problems in the Healthcare domain
Work directly with client stakeholders to translate business problems into high-level analytics solution designs
Experience in Supply Chain, advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions. In-addition experience in the Finance and Cash Management space is good to have.
Proficiency in using advanced analytics to drive business value, including ROI/value assessment, digital KPI tracking, campaign measurement, etc
Responsible for scaling pilots / POCs to a long-term, transformative program and delivering continuous business value
Experience leveraging complex data to drive business decisions, hands - on experience in data science methodologies (predictive analytics, machine learning, patient-level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI or Tableau for visualization.
Experience working across all levels of management and consulting with key business stakeholders.
Present analytical solutions to business audiences, highlighting the robustness of the solution and how it could help generate business value
Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytics solutions
Explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth.
Qualifications
12-16 years of professional work experience with at least 9 years in data analytics
Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
Solid understanding of statistical and machine learning algorithms
Strong knowledge of Lifescience and Pharma domain
Strong project management and team management skills and ability to work with global teams
Strong SQL skills and hands‑on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
Graduate in Business Analytics or MBA or equivalent work experience
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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