Associate Director – Commercial Analytics, Pharma & Lifescience

Tiger Analytics

Associate Director/Director in Commercial Analytics with a focus on Pharma and Lifescience at Tiger Analytics, driving data-driven business solutions and client relationships.

Posted 7/6/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics methodologies and data science applications within the Pharma and Lifescience domain, with a strong focus on translating business problems into actionable analytics solutions. Proven ability to manage client relationships, drive account growth, and deliver continuous business value through effective communication and project management.

Highest-signal resume keywords

Data Science MethodologiesAdvanced AnalyticsClient Relationship ManagementP&L OwnershipStatistical and Machine Learning Algorithms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsPredictive AnalyticsMachine LearningSQLRPythonQlikTableauDigital KPI TrackingCampaign Measurement

Soft Skills

Project ManagementTeam ManagementCommunicationStakeholder EngagementPresentation Skills

Tools & Technologies

DatabricksHadoop HDFSHiveVeevaIQVIATriNetXFlatironOptumKomodo

Certifications & Qualifications

Graduate in Business AnalyticsMBA

Industry Keywords

PharmaLifescienceBusiness ValueROI AssessmentRWD SourcesAccount ManagementAnalytics Solution DesignBusiness Processes

Tech Stack

Tools & technologies

CloudHadoopHDFSPythonSQLTableau

About the role

Key responsibilities & impact

Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
Work directly with client stakeholders to translate business problems into high-level analytics solution designs
Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
Responsible for account management, client relationships, and account growth
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, Tableau for visualization
Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo
Experience working with all levels of management and consulting with key business stakeholders
Present analytic solutions to business audiences highlighting 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 develop plans to help operationalize analytics solution
Explore opportunities with current and new buying centers and collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth
Responsible for P&L for your account portfolios managing revenue and margin goals

Requirements

What you’ll need

10-16 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

Benefits

Comp & perks

Significant career development opportunities exist as the company grows
Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment
High degree of individual responsibility
Equal employment opportunities 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