Business Analyst - Forecasting - Pharma

We have an Opportunity for Business Analyst Pharma Forecasting - Bangalore with one of the leading US based Pharmaceutical Company.

Roles and Responsibilities :

- Use strong quantitative and analytic abilities to integrate and analyse Pharma data including in-market prescription data from IQVIA and Ex-Factory (claims, total COT, etc.)

- Develop forecasts for Biopharma Business Unit and support Insulin Forecasts as requested by Forecasting COE Insulin lead during AB/RE budget cycles

- Work collaboratively with cross-functional, US-based Forecasting & analytics teams on projects ranging from simple repeatable ad-hoc analyses to more complicated, open-ended, exploratory analyses

- Analyse datasets for insights (trends, correlations, and patterns) that Novo Nordisk US (NNI) can use to enhance Forecasts

- Validate Payer and Product Mapping on an on-going basis to ensure major Forecast trend work can proceed on schedule

- Load the latest data into the forecasting model and prepare the model for use before AB/RE budget cycles

- Generate graphics / PPT slides for use in customer presentations

- Conduct quality checks on various reports and analysis

- Manage project timelines and deliverable schedules and share concerns about deliverables, timelines, and any other issues with project managers and directors

- Process various data files into useful analyses for stakeholders

- Automate processes which are repetitive in nature to improve overall quality and bring efficiency

- Preferred skills : Excel VBA, Tableau, Alteryx, SAS or SQL

Desired Candidate Profile :

- 3+ years of relevant experience in Pharma consulting industry especially in Forecasting and market analytics

- Ability to translate business problems into most efficient and effective analysis plan; execute the analysis including data pull and data preparation

- Ability to collaborate and communicate with different stakeholders, primarily with internal stakeholders

- Strong analytical capabilities, with demonstrated experience in analysing complex situations, collecting data, effectively synthesizing the analytics/data to form a complete, cohesive picture of the market