Associate

Position Summary

This role focuses on in-patient journey analysis, leveraging patient-level data to develop sophisticated solutions for client teams. The ideal candidate is an expert in Patient Analytics, capable of guiding and leading teams that support pharmaceutical clients.

Job Responsibilities

• Manage client and onshore stakeholders effectively to ensure successful business delivery as per business needs.
• Collaborate closely with the project manager to define algorithms, break down problems into execution steps, and conduct analyses.
• Deliver high-quality analytics solutions and reports to the client.
• The delivery role encompasses project scoping, solution design, execution, and communication of analysis in client-ready formats.
• Contribute to Axtria's tools and capabilities based on business requirements.
• Build organizational capabilities by participating in hackathons, solution design, and process automation initiatives.
• Communicate effectively with onshore teams and clients as needed.

Education

Master Diploma in Business Administration or Master of Business Administration in Computer or Business Administration.

Work Experience

• Possess 3-5 years of comprehensive experience in the Pharmaceutical / Life Sciences Domain.
• Demonstrate expertise in commercial pharmaceutical analytics, including HCP analytics, payer analytics, and patient analytics.
• Have experience with advanced analytics in the pharma domain across the patient journey, such as line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, utilizing various data sources.
• Proficient in working with patient-level data including APLD, LAAD, EMR, patient registries, prescription data, and formulary data.
• Exhibit strong logical reasoning, analytical structuring skills, the ability to ask pertinent questions, and a logical approach to analyzing data, problems, and situations.
• Experience in pharmaceutical sales and marketing analytics is preferred.
• Possess relevant experience in statistical/modeling knowledge, with the ability to transform data into insights, and strong data visualization/reporting skills.
• Experience in building statistical models and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow is a plus.
• Technical skills required include R, Python, and SQL. Knowledge of self-service analytics platforms like DataiKU, KNIME, or Alteryx is an advantage. Proficiency in MS Excel is mandatory.

Behavioral Competencies

• Teamwork & Leadership
• Motivation to Learn and Grow
• Ownership
• Cultural Fit
• Project Management
• Communication

Technical Competencies

• Python
• R
• SQL
• EXCEL
• Pharma Commercial Know How
• Patient Data Analytics
• Pharma Forecasting
• Others