As part of the Innovation & Transformation Team, this role will support current and upcoming business challenges across all therapeutic areas, reporting to the Innovation Lead and working together with the Content & Channel Manager and Patient & Health Care Experience Lead.

This role will lead omnichannel analytics and measurement in support of the growing roadmap of omnichannel capabilities across countries.

The Omnichannel Insight Specialist have a keen ability of translating data into insights, and a deep understanding of designing omnichannel analytics solutions leveraging tailored approaches including reporting, research or advanced technics such as predictive modeling, machine learning and artificial intelligence around tactic-level and omnichannel experiences.

The role will also be forward-thinking and will be able to anticipate the organization’s needs as customer needs change with the ever-evolving omnichannel and analytical landscapes

Provides analytics thought leadership and influences content and channel strategy design through actionable insights.

Partners with Local and Global BAI to identify new approaches, novel data science techniques & new data sources to power omnichannel analytics and activation opportunities

This person should be inquisitive by nature, able to relate simultaneously to data and organizational needs, in order to tackle open-ended questions and undirected research in ways that bring measurable business benefits to the organization.

This person will be the link between the data resources available and the business areas looking for opportunities to make the business better, faster, and stronger. 

Responsibilities

• Active member of Patient & Healthcare Experience team in country, providing analytics thought leadership and influencing content and channel strategy design

• Develop and execute short and long-term measurement plans for proposed campaigns tactics, partnering with broader analytics team as needed

• Lead the development of Omnichannel KPIs, reporting and tracking

• Develop tools and solutions that improve corporate analytics maturity to support growing demand for fact based, customer-centric decision making.

• Setup and design A/B testing, case control studies and other deep dive analyses to address business questions related to omnichannel execution and impact

• Drive integration of omnichannel dynamics with broader analytics activities to help paint full picture of commercial execution and customer engagement/experience

• Partners with internal COEs to identify new approaches such as data science technics and new data sources to power omnichannel analytics and activation opportunities

• Build and promote models for data-driven decisions asking challenging questions and creating new solutions where necessary. Lead on creative use of internal and external data sources.

• Focus on data collection, manipulation, and analysis, using standard formulas and methods.

• Create a culture of curiosity about data, based on the ambition to obtain insights, and an ability to “tell a story” to business audiences about data.

• Develop ad hoc analysis of critical issues that impact business performance and translate the analysis into actionable recommendations or automation opportunities.

• Administering and training people on business to enable self-service data analysis.

• Provide input towards long-term analytics needs.

• Develop & maintain key processes to ensure data is available within defined quality.

• Develops omnichannel KPIs, reporting and tracking.  Sets up and designs control studies and other deep dive analyses to address business questions related to omnichannel execution and impact

Skills

• Excellent analytic, quantitative and problem-solving skills with proven ability to deliver actionable insights that drive decisions and return on investment.

• Proficient in computer applications used to manipulate large data sets to analyze, test, validate and report data.

• Strong skills in database modelling, database querying, business intelligence platforms and advanced data wrangling

• Clear understanding of modern data stores architectures.

• Strong relationship management skills; ability to collaborate with people at all levels throughout the organization.

• Advance Knowledge on some of the following tools: Python & PySpark, R & SparkR, SQL & SparkSQL, Shell, Scala Spark, Hive, Impala & Pig

• Strong communication skills, both written and verbal; ability to effectively communicate technical concepts to non-technical audiences.

• Performs well inan environment with competing priorities and multiple projects.

• A minimum of 4 years of experience working with Data and Analytics.

• Proven ability to work creatively and analytically in a problem-solving environment.

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.  Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.  Pfizer is an E-Verify employer

Work Location Assignment: Flexible

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