China Analytics Manager - Oncology

Posted:
9/23/2024, 7:51:20 AM

Location(s):
Beijing, China ⋅ Beijing, Beijing, China

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

POSITION SUMMARY

The Commercial Analytics & AI (CAAI) China team is responsible for the delivery of services that require secondary data analysis across business units (BU) to provide strategic recommendations on performance review, brand planning, operation planning, promotional resource allocation, field force sizing, segmentation/targeting, structural decisions, and digital strategies, etc.  The team delivers the services by leveraging the central expertise and existing tools, or by building simple to intermediate analysis locally. 

POSITION RESPONSIBILITIES

Key Roles & Responsibilities:

Market Analytics

  • Provide Analytic support in the market and interfacing with country commercial teams to provide data driven guidance. 
  • In partnership with country stakeholders, recommend, define and implement business analytics plans that generate insights and influence business priorities and objectives
  • Lead customer/omni-channel analysis and consultation to proactively provide deep insights that drive and maximize business opportunities, including segmentation, customer journey development, data mining, work-shopping insights into actions. Collaborate closely with marketing and Customer Experience teams in this context and lead forums to analyze and discuss results with BU leadership.
  • Assist to frame, investigate, and answer key business questions related to the identification and evaluation of commercial strategies and tactics
  • Define data requirements, gather and validate information, and apply judgment and statistical tests.
  • Prepare management reports defining and evaluating problems and recommending solutions.
  • Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.

Forecasting/Operating Plan Support

  • In partnership with key Pfizer stakeholders, support the development of Long Range Forecasts (LRFs) and Operating Plans.
  • Qualify and quantify business opportunities, including communicating results and recommendations.

xBU Analytics Support on Critical Business Decisions

  • Support cross BU level analysis such as but not limited to: VBP analysis, Launch Excellence, Market Intelligence,  Performance Data Visualization, GTM Transformation, etc.

Vendor/Offshore Resource Management

  • Develop, commission and contract projects through preferred vendors
  • Accountable for meeting compliance and Corporate SOP obligations of all PMR projects
  • Manage budgets associated with assigned activities
  • Direct workload of flexible resources
  • Be accountable for continuous improvement and identification/utilization of new capabilities to maximize the competitive advantages of the business

Collaboration with other Analytical team

  • Partner with local analytical teams to adapt global strategies to the local markets
  • Actively seek to share knowledge and expertise with other colleagues making use of knowledge sharing platform
  • Alignment with other CAAI teams (CoEs/other Country teams) to ensure cohesive activities with our stakeholders
  • Closely work with Data Science and AI team in a very agile way to seek for advanced analytical solutions to business questions / market or customer insights

ORGANIZATIONAL RELATIONSHIPS

Reports to:

  • Solid Line to:  Sr.Manager/Director, China CAAI

RESOURCES MANAGED  

EDUCATION AND EXPERIENCE

Education: Bachelor’s degree required, Masters in analytic discipline/pharmacology/medicine preferred,

Qualifications / Experience:

  • 5+ years analytics experience
  • At least 3 years’ experience in pharmaceutical/biotech industry
  • Thorough understanding of Pharmaceutical marketing and sales processes including the development of the op plan
  • Strong analytical problem-solving skills with the ability to develop and execute creative solutions
  • Ability to understand and communicate business challenges, issues and events, and effectively incorporate that knowledge in the analyses and recommendations
  • Working knowledge of developing analytic models, primary/secondary market research, data reporting and commercial analytics tools
  • Experience analyzing large amounts of data.
  • Ability to understand/interpret/integrate raw outputs from various econometric and statistical models; ability to integrate and synthesize separate concepts
  • Ability to work closely with senior management, providing business insights, challenging their thinking, and managing their expectations.
  • Ability to prioritize and manage multiple projects simultaneously.
  • Significant hands-on experience analyzing large pharmaceutical secondary datasets (sub national level, payer, patient / longitudinal, call activity)
  • Fluency in English is preferable

TECHNICAL SKILLS REQUIREMENTS

  • Candidates should have strong quantitative and computer skills; employers prefer workers who have completed advanced math courses including statistics, forecasting, mathematical programming etc;
  • Individuals with a master's degree in operations research or management science should have excellent employment prospects; entry-level positions are available to those with a bachelor’s degree;
  • Two years’ of modeling experience in pharmaceutical industry is preferable;
  •  Proficient in Excel, Power Point and preferable with visualization tool using experience such as Tableau
  •  Good command of English both in oral and written.

PHYSICAL POSITION REQUIREMENTS

Physical location: Beijing/Shanghai, preferably Shanghai

 
Work Location Assignment: Flexible

#LI-PFE

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

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Pfizer

Website: https://www.pfizer.com/

Headquarter Location: New York, New York, United States

Employee Count: 10001+

Year Founded: 1849

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Biotechnology ⋅ Health Care ⋅ Medical ⋅ Pharmaceutical ⋅ Precision Medicine