Virtusa

Data Analyst/Brand Analyst

Job description

The Brand Analytics Analyst will coordinate the understanding of various datasets, design and implement analytical solutions in support of Business Opportunities, Customer Segmentation & Targeting, HCP & Patient Opportunity Identification, Return-On-Investment analytics and Optimal Resource/Budget allocation across diverse Sales and Marketing channels, Patient & Prospective Analytics, Smart Business Experiments (Test & Learn), Market Simulation & Patient flow modelling among other business critical analyses.

This role works closely with Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations business partners.In addition to strong analytical skills, should have excellent communication skills with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing.The candidate will also be required to continuously evaluate new quantitative analysis methods and technologies.Develop a deep understanding of internal customers' data and analytical needs focusing on the customer-facing model leadership.Champion the use of local customer insight in strategic and resourcing decisions across the business.Collaborate with the US Sales Force Operations to ensure success of key business processes and coordination on joint initiatives.Identify and prioritize enhancements and new analytic capabilities.

Can lead the development, deployment, and embedding of such capabilities across the organization.Instills a culture of continuous improvement, testing, and deployment of new capabilities for the business.Develop innovative analytical practices to create and sustain competitive advantage.Access appropriate information via a variety of tools and sourcesSummarize and present findings through various communication channels.Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.)Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.3+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets.Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.Data Mining, Predictive Modelling & Machine Learning algorithms.Optimization & Simulation.3+ years of recent experience and proficiency with PySpark, Python, R, SQL.Working knowledge of data visualization

PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools.Working knowledge on platforms like DataBricks.Experience in MS Office products

Excel and PowerPoint skills required.Expertise in managing and analyzing a range of large, transactional databases is required.Statistical analysis and modelling background ML a plus Experience with IQVIA data sets.

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