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Manager Data Science, Business Analytics & Insights, India

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Pfizer

4.1

Mumbai, India

Why you should apply for a job to Pfizer:

  • 4.1/5 in overall job satisfaction

  • 4.5/5 in supportive management

  • 78% say women are treated fairly and equally to men

  • 79% would recommend this company to other women

  • 81% say the CEO supports gender diversity

  • Ratings are based on anonymous reviews by Fairygodboss members.
  • 23-25 Week Maternity Leave (Fully paid for birth parents)

  • Family building benefits include $35,000 fertility services + $25,000 adoption and surrogacy services

  • Pfizer is a founding member of Healthcare Businesswomen's Association Gender Parity Collaborative

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    Position summary

    ROLE SUMMARY

    Business Analytics & Insights (BAI) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, BAI’s rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including market research, data science, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patient's lives and the future of Pfizer as a data-driven organization.

    The person in this role is accountable for delivering data science support in India. The person will partner with Commercial and Medical teams, to develop and implement models and data-science derived insights that drive  [include country] strategic priorities. This will include executing and interpreting AI/ML models, framing problems, shaping solutions

    Also, this person will help shape the brands’ strategies and tactics by  interfacing closely with Data Science COEs and leveraging capabilities that have been developed around bespoke AI/ML models, and interface closely with omnichannel-operations to drive execution.

    This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join BAI colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.

    ROLE RESPONSIBILITIES

    Role definition and key accountabilities include, but are not limited to:

    Commercial and Medical Data Science and Insights

    • Provide data science and insights to Country Commercial and Medical teams to drive brand tactic decisions
    • Assist to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of Commercial and Medical brand strategies and tactics
    • Interface with Omnichannel-operations on execution and data science bespoke analytical needs
    • Connect machine learning models and insights together to identify Medical and Commercial brand opportunities and tactics to execute
    • Guide Medical and Commercial brand teams via compelling and persuasive story and deliver clear and actionable brand tactic recommendations
    • Track and analyze impacts of Medical and Commercial brand strategies and tactics using dashboards and data products

    Collaborate with Data Science COE

    • Partner with Data Science COE to develop bespoke AI and machine learning models; Configure pre-built models and interpret updated results
    • Ensure alignment with Data Science COEs teams to ensure cohesive activities with stakeholders

    Collaboration with other BAI and Analytics teams

    • Partner with BAI market lead to incorporate and prioritize data science insights into analytics plans and recommendations
    • Align across BAI Data Science teams and Data Science COE teams to ensure cohesive activities with our stakeholders
    • Partner with other analytic functions to advance the use of novel data sources, including RWD

    QUALIFICATIONS

    Indicate basic and preferred qualifications:

    • Basic qualifications are job related, consistent with business requirements and necessary for the performance of an essential function of this role including: education/licenses/certifications, location, relevant experience, technical and/or other job-related skills. Basic qualifications determine minimum requirements that applicants must possess to be qualified for the role; anyone who does not meet basic qualifications for the role will not be interviewed or eligible for hire.

    • Preferred qualifications are job-related qualifications that may be indicated in addition to basic qualifications; they are not absolutely required for performance of the job but are desired and further describe the education/skills/experience sought for the position. Preferred qualifications enhance a candidate’s ability to perform the job. 

    PROFESSIONAL CHARACTERISTICS

    • Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how BAI can provide value to the organization
    • Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights 
    • Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others
    • Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork
    • Project Manager: Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in
    • Self-Starter: Takes an active role in one’s own professional development; stays abreast of analytical trends, and cutting-edge applications of data

    Technical Skills

    • Fluent in English (written and spoken)

    • Strong MS Excel and PowerPoint skills

    • Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques

    • Experience in understanding brand content, strategy, and tactics

    • Ability to effectively utilize dashboards and data products to derive insights

    • Understands quantitative and qualitative research methodologies

    • Experience in management of secondary data with application of real-world data

    • Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics

    • Ability to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question

    • Ability to be flexible, prioritize multiple demands and deal with ambiguity

    • 3+ years experience in business analytics or data science function, country strategy and/or strategic consulting

    • Experience using data science models to solve problems in an education or business environment setting 

    Education

    • Bachelor’s degree required, ideally in quantitative discipline like engineering or data science; also advanced degree preferred in business administration, statistics, or other relevant field

    ORGANIZATIONAL RELATIONSHIPS

    Business Analytics & Insights Data Science Team

    • Close interactions with Data Science COE teams
    • Commercial Leadership Teams
    • Brand Marketing Teams
    • Omnichannel Operations

    Financial Accountability

    • Manage budget and spending for BAI Data Science projects (including contract resources)

     
    Work Location Assignment: On Premise

    Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

    Marketing and Market Research#LI-PFE

    What are Pfizer perks and benefits

    Paid paternity

    Paid maternity

    About the company

    27839

    Pfizer

    Industry: Pharmaceutical

    Pfizer is a leading research-based biopharmaceutical company. We apply science and our global resources to deliver innovative therapies that extend and significantly improve lives. We make medicines and vaccines that help people when they are sick and prevent them from getting sick in the first place. Every day, our colleagues work in developed and emerging markets to ...

    Why you should apply for a job to Pfizer:

  • 4.1/5 in overall job satisfaction

  • 4.5/5 in supportive management

  • 78% say women are treated fairly and equally to men

  • 79% would recommend this company to other women

  • 81% say the CEO supports gender diversity

  • Ratings are based on anonymous reviews by Fairygodboss members.
  • 23-25 Week Maternity Leave (Fully paid for birth parents)

  • Family building benefits include $35,000 fertility services + $25,000 adoption and surrogacy services

  • Pfizer is a founding member of Healthcare Businesswomen's Association Gender Parity Collaborative

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