Senior Associate - Forecasting (Only Pharma domain)

Were Hiring: Senior Associate Forecasting at Chryselys

Location:

About Us:

Chryselys

We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.

Who we are:

People -

Quality -

Technology

Role Overview:

We are seeking a highly motivated and analytical Pharma Commercial Forecasting Senior Associate to join our growing team. In this role, you will develop accurate and insightful forecasts to support strategic decision-making across the product lifecycle. You will leverage your expertise in market research, data analysis, and forecasting methodologies to assess market opportunities, develop long-term plans, and identify potential risks.

Key Responsibilities:

Market and Opportunity Assessments:

Forecasting Models:

Data Analysis:

Sales Forecasts:

Scenario Planning:

Cross-Functional Collaboration:

Communication:

Process Improvement:

Research Support:

What You Bring:

Experience:

Skills:

• Good understanding of pharma/oncology disease areas and indications.

• Strong technical skills and functional expertise in inline & pipeline forecasting with specialized skills in creating models using epi and trend-based approaches.

• Ability to collaborate with internal and external stakeholders for diverse forecasting needs: Strategic/long range planning, budget/tactical planning, Sales & Ops. Planning, Business Development & Licensing etc.

• Strong analytical skills with experience in data analysis, manipulation, coding and visualization (experience with Python, Excel/VBA, Qlik/Tableau and SQL preferred).

• Good understanding of quintessential US, RE and Global pharma datasets for sales/Rx & EPI.

• Experience with market research techniques and familiarity with market research tools and databases.

• Ability to independently work and deliver projects across brand life cycle.

• Passion and commitment to achieve results through individual excellence and collaboration.

• Strong problem solving, communication and customer orientation.

• Understanding of industry standard forecasting platforms, tools and technologies is a plus.

Preferred Qualifications:

Educational Qualifications: