Demand Planning Decision Analyst I
1 month ago
Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.
BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.
Summary: The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region.
Roles & Responsibilities
Partner with senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making. Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data. Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies. Partner with senior analysts to design & implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies, or other business initiatives. Partner with senior analysts to develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders. Collaborate with stakeholders to understand business objectives and translate them into projects and actionable recommendations. Senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization. Stay up to date with industry trends, emerging methodologies, and best practices related to statistical analysis, optimization, and decision support.Skills and competencies
Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Solid ability to present complex information to non-technical stakeholders in a concise manner. Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously. Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis. Strong project management skills and the ability to work independently or as part of a team. Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations.Experience
We welcome a bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research, or a related discipline. Proven experience (typically 1 to 3 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry. Experience working with large datasets, statistical software packages (e.g., R, SAS, Python) and data visualization tools. Experience with descriptive/explanatory models, regression modeling, clustering, segmentation, and portfolio analysis. Familiarity with the biopharma industry, including market dynamics, regulatory requirements, and healthcare data sources. Certification or training in decision analysis, statistical modeling or related.
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