Tiger Analytics, LLC
Director Commercial Analytics (Pharma & Lifescience) - Jersey City
Tiger Analytics, LLC, Jersey City, New Jersey, us, 07305
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.
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working 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 Pharma and Lifescience domain. Work directly with client stakeholders to translate business problems into high-level analytics solution designs. Knowledge of advanced analytics approaches, methodologies, and best practices for leveraging data to drive informed decisions. Proficiency in using advanced analytics to drive business value, including ROI/value assessment, digital KPI tracking, campaign measurement, etc. Manage client relationships, account management, and account growth. Scale pilots/POCs to long-term transformative programs and deliver continuous business value. Leverage complex data to drive business decisions with hands-on experience in data science methodologies (predictive analytics, machine learning, patient-level data triggers) using R, Python, Databricks, and visualization tools like Qlik, PowerBI, Tableau. Work with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc.) and RWD sources like TriNetX, Flatiron, Optum, and Komodo. Collaborate with all management levels and key business stakeholders. Present analytic solutions to business audiences, highlighting robustness and business value. Communicate results to senior management and develop plans to operationalize analytics solutions. Explore opportunities with current and new buying centers, collaborating with internal SMEs to create proposals that drive growth. Manage revenue and margin goals for your account portfolios. 10-16 years of professional experience, with at least 9 years in data analytics. Ability to engage with executive/VP-level stakeholders to translate business problems into analytics solutions. Experience managing large accounts and contributing to account growth; P&L ownership is a plus. Solid understanding of statistical and machine learning algorithms. Strong knowledge of the Lifescience and Pharma domain. Excellent project and team management skills, with ability to work with global teams. Strong SQL skills, hands-on experience with R & Python, and visualization tools like Qlik or Tableau. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. Ability to collaborate with IT and Data Engineering teams to embed analytics into business processes. Graduate in Business Analytics, MBA, or equivalent work experience. Significant career development opportunities exist as the company grows. This position offers a chance to be part of a small, fast-growing, entrepreneurial environment with high individual responsibility.
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Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working 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 Pharma and Lifescience domain. Work directly with client stakeholders to translate business problems into high-level analytics solution designs. Knowledge of advanced analytics approaches, methodologies, and best practices for leveraging data to drive informed decisions. Proficiency in using advanced analytics to drive business value, including ROI/value assessment, digital KPI tracking, campaign measurement, etc. Manage client relationships, account management, and account growth. Scale pilots/POCs to long-term transformative programs and deliver continuous business value. Leverage complex data to drive business decisions with hands-on experience in data science methodologies (predictive analytics, machine learning, patient-level data triggers) using R, Python, Databricks, and visualization tools like Qlik, PowerBI, Tableau. Work with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc.) and RWD sources like TriNetX, Flatiron, Optum, and Komodo. Collaborate with all management levels and key business stakeholders. Present analytic solutions to business audiences, highlighting robustness and business value. Communicate results to senior management and develop plans to operationalize analytics solutions. Explore opportunities with current and new buying centers, collaborating with internal SMEs to create proposals that drive growth. Manage revenue and margin goals for your account portfolios. 10-16 years of professional experience, with at least 9 years in data analytics. Ability to engage with executive/VP-level stakeholders to translate business problems into analytics solutions. Experience managing large accounts and contributing to account growth; P&L ownership is a plus. Solid understanding of statistical and machine learning algorithms. Strong knowledge of the Lifescience and Pharma domain. Excellent project and team management skills, with ability to work with global teams. Strong SQL skills, hands-on experience with R & Python, and visualization tools like Qlik or Tableau. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. Ability to collaborate with IT and Data Engineering teams to embed analytics into business processes. Graduate in Business Analytics, MBA, or equivalent work experience. Significant career development opportunities exist as the company grows. This position offers a chance to be part of a small, fast-growing, entrepreneurial environment with high individual responsibility.
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