Senior Manager/Associate Director – Analytics Consulting, Pharma/Life Sciences
Tiger Analytics
CloudHadoopHDFSPythonSQLTableau
Associate Director/Director - Product Owner, Pharma
Tiger Analytics
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudHadoopHDFSPythonSQLTableau
About the role
- 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.
- Translate strategy into action, 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.
- 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.
Requirements
- 12-18 years of professional work experience with at least 7 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
- Solid understanding of statistical and machine learning algorithms
- 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
- Fluency with Pharma data sources such as Veeva, IQVIA (Plantrak, LAAD, PE, etc.) and RWD sources like TriNetX, Flatiron, Optum, Komodo
- Experience with Databricks and patient-level data triggers
- Deep expertise in data visualization with Qlik, Power BI, and Tableau
