Associate - Data Analyst

Job Description

You will be responsible for providing analytical expertise to the Commercial Organization, driving strategic and operational excellence. This is a hands-on analytical role where you will act as a proactive internal consultant to a specific brand team. The Brand Analytics Associate will support and design commercial solutions, enabling data-driven decisions based on rigorous analysis and the best available information. A high level of proficiency in syndicated and custom, primary, and secondary data, for both predictive and prescriptive analytics is required. The Brand Analytics Associate will coordinate the understanding of various datasets, design and implement analytical solutions in support of Business Opportunities, Customer Segmentation & Targeting, HCP & Patient Opportunity Identification, Patient & Prospective Analytics 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 analytical skills, you should have excellent communication skills with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing. Accountabilities 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. Support, maintain and deliver Analytics Reports in BAU to the respective collaborators. Maintain tight Turn Around Times and at most quality as per agreed SLA. Support the development and deployment of such capabilities across the organization. Instill 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 sources. Summarize and present findings through various communication channels. Apply 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. Monitor the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization. Essential Skills/Experience Quantitative Bachelor s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master s, MBA or PhD). 1+ years of experience in application of methods and procedures on large and disparate datasets. 1+ years of recent experience with PySpark, Python, R, SQL. - Experience in MS Office products - Excel and PowerPoint skills required. Working knowledge on platforms like DataBricks. Working knowledge of data visualization - PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools. Expertise in managing and analyzing a range of large, transactional databases is required. Ability to derive, summarize and communicate insights from analyses. Organization and time management skills. Desirable Skills/Experience Strong interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. Strong communication skills. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. Experience using Big Data is a plus. Exposure to SPARK is desirable. Excellent Analytical and Problem-Solving ability. Should be able to grasp new concepts quickly.