Sr. Manager, Analytics Engineer - Biopharma

ROLE SUMMARY:

Pfizer is seeking hardworking, passionate and results-oriented individuals to join our Analytics Engineering team to build data foundations and tools to craft the future. You will design and implement scalable, extensible and highly-available data pipelines on large volume data sets, that will enable impactful insights & strategy for our products. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking sensible risks. Our team collaborates deeply with partners across analytics, data science, marketing, digital, business teams: our mission is to drive innovation by providing the business, marketing and data scientist partners best in class systems, data products, and tools to make decisions that drive business performance and patient experience. This will include using large and complex data sources, helping derive measurable insights, delivering dynamic and intuitive decision tools, and bringing our data to life via amazing visualizations.

The ideal candidate is a self-motived teammate, skilled in a broad set of data processing techniques with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible data processing solution is a must.

ROLE RESPONSIBILITIES:

Reporting to the head of Analytics Engineering this person will collaborate with data scientists, reporting/data visualization specialists, business, marketing teams all working together to identify requirements that will derive the creation of data pipelines and other data products. You will work closely with Pfizer’s Digital team to understand the architecture and internal APIs involved in upcoming and ongoing projects. We are seeking an outstanding person to play a pivotal role in helping the analysts & business users make decisions using data and visualizations. You will partner with key partners across the business, data science & marketing teams as you design and build query friendly data structures.

• Partner with data scientists to build scalable modeling features pipeline
• Understand and Identify server APIs that needs to be instrumented for data analytics and align events for execution in already established data pipelines
• Explore and understand sophisticated data sets, identify and formulate correlational rules between heterogenous sources for effective analytics and reporting
• Process, clean and validate the integrity of data used for analysis
• Build scalable data sets based on specifications from the available raw data and derive business metrics/insights
• Develop Python and Shell Scripts for data ingestion and stitching from external data sources for business insights
• Translate business requirements by business team into data and engineering specifications
• Work closely with analytics and data science teams to develop robust data pipeline and analytics visualization

BASIC QUALIFICATIONS:

• Familiarity with rule based tools and APIs for multi stage data correlation on large data sets is a plus!
• Relevant professional experience with Big Data systems, pipelines and data processing
• Bachelor’s degree with 7+ years of experience OR Masters Degree with 6+ years of experience OR PhD with 2+ years of experience
• Practical hands-on experience with technologies like Apache Hadoop, Apache Pig, Apache Hive, Apache Sqoop & Apache Spark
• Ability to understand API Specs, identify relevant API calls , extract data and implement data pipelines & SQL-friendly data structures
• Experience working in Dataiku is a plus but not required
• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
• Expertise in Core JAVA, Oracle, Teradata and ANSI SQL
• Identify Data Validation rules and alerts based on data publishing specifications for data integrity and anomaly detection
• Understanding on various distributed file formats such as Apache AVRO, Apache Parquet and common methods in data transformation
• Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field
• Degree preferably in engineering, economics, statistics, computer science, or related quantitative field.
• Expertise in Python, Unix Shell scripting and Dependency driven job schedulers

Other Job Details:

• Last Date to Apply for Job: July 31, 2023
• Additional Location Information: US virtual and any US Pfizer site

The annual base salary for this position ranges from $113,900.00 to $189,700.00. In addition, this position offers an annual bonus with a target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. Benefits offered include a retirement savings plan, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans. Pfizer compensation structures and benefit packages are aligned locally, the US Salary range provided does not apply to the Tampa, FL or any EXUS locations.

Relocation assistance may be available based on business needs and/or eligibility.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

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.

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