Job Description

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.

• 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

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.

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