Collaborate with the unit leader and business partners to develop solutions that enable data-driven decision-making.
Design comprehensive analytical solutions to support various commercial teams and professionally communicate results.
Design and manage cross-functional analytical projects, developing and implementing approaches that break down complex business problems into multiple independent and sequential phases of analysis.
Ensure data integrity, accuracy, and consistency.
Summarize key metrics for presentations and dashboards.
Implement, automate, and maintain analytical processes and machine learning models.

Requirements

Bachelor's Degree with minimum 2 years of experience with in a highly technical/quantitative discipline (Statistics, Computer Science, Data Science, Mathematics, Economics, Finance, etc.)
2 years of hands-on experience in generating advanced insights and predictive capability from statistical models, including (but not limited to) multivariate linear regression, clustering algorithms, decision trees, logistic regression, Principal Component Analysis (PCA), time series, survival analysis, machine learning (supervised and unsupervised), Bayesian Methods, Neural Networks, etc.
2 years of experience in performing data analysis and modeling using Python (pandas, scikit-learn, PySpark, NumPy, etc.)
Strong SQL skills for data manipulation, aggregation, and optimization.
Proficiency in bringing structure to ambiguous problems and deriving insights from multiple data and information sources.
Ability to communicate complex ideas, insights, and analytical proficiency into meaningful conclusions to internal and external stakeholders.
Strong data curiosity, analytical skills and problem-solving abilities.
Excellent written and verbal communication skills and the ability to work effectively with both technical and non-technical stakeholders.
Strong interpersonal skills and team player mentality.
Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced and multi-tasking environment.
Understanding of the brand and generic pharmaceutical landscape and of commercial data and analytic needs.
Experience in life sciences, commercial analytics, and healthcare industry.
Experience with cloud services: Azure, AWS.
Experience with large scale database applications (SQL, Oracle, SAP).
Experience in automating analysis and authoring pipelines based on ETL framework.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysispredictive modelingmultivariate linear regressionclustering algorithmsdecision treeslogistic regressionPrincipal Component Analysistime series analysissurvival analysismachine learning

Soft Skills

communication skillsanalytical skillsproblem-solvinginterpersonal skillsteam playeradaptabilitydata curiosityability to derive insightspresentation skillscollaboration