Tiger Analytics
Associate Director/Director - Product Owner (Pharma)
Tiger Analytics, Jersey City, New Jersey, United States, 07390
Job Title
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 complex business problems in the Pharma and Life Sciences domain. Collaborate directly with client stakeholders
to translate business challenges into high-level analytics solution designs. Apply
advanced analytics approaches, methodologies, and best practices
to leverage data for informed decision-making. Build and manage Data Science products
for Commercial Analytics teams, including Marketing Mix Modeling (MMX), Next Best Action, and Dynamic Targeting use cases. Use advanced analytics to drive measurable business value
ROI/value assessment, digital KPI tracking, campaign measurement , and more. Leverage complex data for business decision-making , applying predictive analytics, machine learning, and patient-level data triggers using R, Python, and Databricks. Deep expertise in data visualization with
Qlik, Power BI, and Tableau . Fluency with Pharma data sources
such as Veeva, IQVIA (Plantrak, LAAD, PE, etc.) and RWD sources like TriNetX, Flatiron, Optum, Komodo. Ability to
translate strategy into action , with strong analytical skills and the capacity to simplify complex issues and orchestrate actionable plans to resolve challenges. Act as a Product Owner
define product vision,
develop and maintain the product strategy and roadmap , ensuring alignment with business objectives and stakeholder priorities. Prioritize and manage the product backlog, balancing
strategic initiatives with tactical enhancements . Work closely with cross-functional teams (engineering, analytics, design, business) to deliver high-value features and ensure solutions meet both
user needs and business outcomes . Monitor and measure product performance , using insights to iterate on the product roadmap and maximize ROI. Experience working with all management levels and consulting with key business stakeholders. Present analytic and product solutions
to business audiences, demonstrating solution robustness and the potential for tangible business value. Participate in solution design discussions with team members, applying relevant analytic techniques to create
actionable business insights . Prepare and deliver
senior management presentations , communicate analytical findings to business teams, and develop plans to operationalize analytics solutions.
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 complex business problems in the Pharma and Life Sciences domain. Collaborate directly with client stakeholders
to translate business challenges into high-level analytics solution designs. Apply
advanced analytics approaches, methodologies, and best practices
to leverage data for informed decision-making. Build and manage Data Science products
for Commercial Analytics teams, including Marketing Mix Modeling (MMX), Next Best Action, and Dynamic Targeting use cases. Use advanced analytics to drive measurable business value
ROI/value assessment, digital KPI tracking, campaign measurement , and more. Leverage complex data for business decision-making , applying predictive analytics, machine learning, and patient-level data triggers using R, Python, and Databricks. Deep expertise in data visualization with
Qlik, Power BI, and Tableau . Fluency with Pharma data sources
such as Veeva, IQVIA (Plantrak, LAAD, PE, etc.) and RWD sources like TriNetX, Flatiron, Optum, Komodo. Ability to
translate strategy into action , with strong analytical skills and the capacity to simplify complex issues and orchestrate actionable plans to resolve challenges. Act as a Product Owner
define product vision,
develop and maintain the product strategy and roadmap , ensuring alignment with business objectives and stakeholder priorities. Prioritize and manage the product backlog, balancing
strategic initiatives with tactical enhancements . Work closely with cross-functional teams (engineering, analytics, design, business) to deliver high-value features and ensure solutions meet both
user needs and business outcomes . Monitor and measure product performance , using insights to iterate on the product roadmap and maximize ROI. Experience working with all management levels and consulting with key business stakeholders. Present analytic and product solutions
to business audiences, demonstrating solution robustness and the potential for tangible business value. Participate in solution design discussions with team members, applying relevant analytic techniques to create
actionable business insights . Prepare and deliver
senior management presentations , communicate analytical findings to business teams, and develop plans to operationalize analytics solutions.