Career Opportunities: Associate- Decision Science (10830)

Requisition ID 10830 - Posted  - Kharadi, Pune

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Position Summary

This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities

Job Responsibilities

• Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy
• Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team
• Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy
• Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes
• Ensure that value assessment addresses the impact of key market dynamics and internal events, is logically designed and well-documented
• Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable
• Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions
• Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements
• Perform ad-hoc queries for leadership across all functions; be an internal expert and resource
• Maintaining accountability for high quality, timely service delivery of forecasting analytic service requests, including requests for solutions requiring sophisticated statistical and machine learning approaches

Education

Bachelor of Engineering in Statistics

Work Experience

Behavioural Competencies

Teamwork & Leadership

Motivation to Learn and Grow

Ownership

Cultural Fit

Project Management

Communication

Technical Competencies

Python

R

SQL

EXCEL

MMx

Forecasting

Machine Learning

Pharma Commercial Know How

HEOR EPI and Economic Analysis

HEOR Simulation Analysis

Patient Data Analytics Know How

Dataiku

KNIME

Others

Skills

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