Job Description

The Manager, Analytics & Innovation will be part of Pfizer Corporate Audit's internal team dedicated to enhancing the department's capabilities through the use of analytics and digital technologies throughout finance, commercial, information technology, research & development and manufacturing audit processes. They will use their technical skills to collaborate with audit teams in the execution of best-in-class audit procedures.

The successful candidate will have an analytical mind with business acumen and be responsible for the identification and implementation of analytical solutions and other cutting-edge tools and techniques in the execution of the annual internal audit plan for Pfizer Inc.

Must have the flexibility to balance many projects and stakeholders simultaneously, strong analytical, critical thinking, and troubleshooting skills and the ambition to learn new skills quickly.

ROLE RESPONSIBILITIES

• Work with audit teams to understand their business process and challenges and develop ideas and analytical approaches to enable simplification and a data driven audit.
• Partner with audit teams to design and build analytical tools and dashboards to support various audit processes
• Support audit users with ad-hoc data queries and analytics
• Ensure user adoption of analytical tools and solutions through training and development of Seniors, Managers and Directors
• Establish and maintain working relationships with key stakeholders from other Pfizer functions including, Digital, Finance, Compliance, Global Business Solutions
• Use their technical skills and experience to communicate/ translate information in a non-technical manner

REQUIRED BASIC QUALIFICATIONS

• Bachelor's degree; a degree in a quantitative or business-related field such as computer science, engineering, statistics, or mathematics is preferred
• At least 5 years of experience in data analytics and/or data sciences
• Expert knowledge of Data Analytics like SQL, MS Excel, Spotfire, DB Query, R Studio, Python or others
• Knowledge and strong experience in data wrangling and ETL tools (Alteryx/Dataiku)
• Advanced knowledge in Spotfire with skills developed in areas such as data ingestion, data visualization, and exploratory data analysis
• Familiar with AWS, cloud computing and high-performance computing environments.
• Experience with structured and unstructured data
• Ability to work both independently, conducting problem solving and data exploration analysis, as well as with the team.
• Comfortable collaborating with cross-functional stakeholders to understand the underlying business problem, perform full cycle data analysis and propose recommendations and solutions
• Good at understanding and presenting information using data visualization techniques like charts, graphs, and matrixes
• A curious and highly motivated self-starter who can work effectively across cross-functional teams and reverse engineering the data flow understanding

PREFERRED QUALIFICATIONS

• Advanced degree
• Knowledge of fundamental descriptive and inferential statistics models and experience with R / SAS
• Experience in ML/AI development and deployment
• Knowledge and/or experience in anti-corruption/anti-bribery compliance
• Financial or audit experience or background

Other job details

• Last day to apply: July 29, 2022
• Ability to work on flexible schedule to collaborate virtually with colleagues in North & Central American, European and Aisa Pacific time zones.
• Potential travel required less than 20%
• 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.

Finance & Accounting