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Senior Associate - Forecasting (Only Pharma domain)

Senior Associate - Forecasting (Only Pharma domain)

ChryselysDelhi, India
9 days ago
Job description

Were Hiring : Senior Associate Forecasting at Chryselys

Location : Hyderabad

About Us : Chryselys

is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.

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

Who we are : People -

Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.

Quality -

Our goal is to deliver the value of a big five consulting company without the big five cost.

Technology

  • Our solutions are Business centric built on cloud native technologies.

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 :

Conduct Robust market and opportunity assessments to identify growth opportunities and market trends for product launches, portfolio management, and business development strategies.

Forecasting Models :

Develop and maintain robust forecasting models using methodologies such as time series analysis, analogy forecasting, and market sizing techniques. Experience with Python and SQL is a plus.

Data Analysis :

Utilize industry-standard databases (e.g., IQVIA) and internal data sources to analyse market trends, competitor activity, and customer behaviour.

Sales Forecasts :

Create accurate short-term and long-term sales forecasts to support budgeting, resource allocation, and operational planning, using a combination of qualitative and quantitative data.

Scenario Planning :

Participate in scenario planning and risk assessment exercises to identify potential roadblocks and develop mitigation strategies.

Cross-Functional Collaboration :

Collaborate with cross-functional teams to align forecasting models with business goals.

Communication :

Effectively communicate forecasting results through presentations and reports tailored to different stakeholder audiences.

Process Improvement :

Continuously monitor and improve forecasting methodologies and processes. Enhance and streamline routine processes through standardization and automation to increase efficiency and flexibility.

Research Support :

Provide support with secondary research and analysis; stay informed on the latest therapeutic research, clinical developments, and competitive landscape to inform forecasting activities.

What You Bring : Experience :

2+ years of experience in the pharmaceutical or life science industry.

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 :

    Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Engineering or a related field.

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