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    Decision Analyst III- International Commercial Decision Intelligence Solutions - Hyderabad, India - Bristol Myers Squibb

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    Description

    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.

    Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: .

    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:

    • Develop, oversee and implement advanced 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.
    • Design, implement and oversee test designs to evaluate effectiveness of marketing campaigns, pricing strategies or other business initiatives.
    • Create measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to international and country-based stakeholders
    • Partner with international and country-based stakeholders to understand business objectives and translate them into projects and actionable recommendations
    • Stay up-to-date with industry trends, emerging methodologies and best practices related to statistical analysis, optimization and decision support
    • Provide training, guidance and mentorship to junior analysts and team members as required

    Skills & Competencies

    • Develop, oversee and implement advanced 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.
    • Design, implement and oversee test designs to evaluate effectiveness of marketing campaigns, pricing strategies or other business initiatives.
    • Create measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to international and country-based stakeholders
    • Partner with international and country-based stakeholders to understand business objectives and translate them into projects and actionable recommendations
    • Stay up-to-date with industry trends, emerging methodologies and best practices related to statistical analysis, optimization and decision support
    • Provide training, guidance and mentorship to junior analysts and team members as required

    Experience:

    • Bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline.
    • Proven experience (typically 5+ 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), data visualization tools (Tableau), and application development environments (e.g. Domino)
    • 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 - particularly in European, Asian, and Latin/South American Countries
    • Experience managing projects and/or leading teams
    • Full business English proficiency required; proficiency in other major international languages (German, French, etc) is beneficial

    If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

    Uniquely Interesting Work, Life-changing Careers

    With a single vision as inspiring as "Transforming patients' lives through scienceTM ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

    On-site Protocol

    BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

    Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

    BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit ) eeo-accessibility to access our complete Equal Employment Opportunity statement.

    BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

    BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

    Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

    Company: Bristol-Myers Squibb

    Req Number: R1581403

    Updated: :14:25.738 UTC

    Location: Hyderabad-IND

    Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.




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