1+ months

Analytics Solution Engineer

Collegeville, PA 19426

The Analytics Support Engineer is primarily responsible for the end-to-end technical hands-on implementation and management of the analytic platform infrastructure, data onboarding, development and oversight of operational processes and analytic development and operations for Pfizer Manufacturing within the Enterprise Platform and Security Analytics function. This is a hands-on technical role which will primarily support the Manufacturing analytics platform powered by Splunk. The scope of this role includes a wide range of highly transactional platform and cybersecurity data sources with diverse collection points and complicated collection methods, as well as, the platform infrastructure to support it and the analytics which operate within it. Ensuring platform, data and analytic reliability, efficiency, and quality is core to this role.

For Pfizer, we look for candidates that are motivated, self-learning, and team-oriented individuals. From a technical perspective, an ideal candidate would have the skills shown below, but candidates that possess a strong subset and an attitude towards self-development & growth will be considered.


+ Design, manage, and troubleshoot complex large-scale data forwarding infrastructure within a hybrid on premise and cloud hosted environment.

+ Design, manage, and troubleshoot complex large-scale data engineering methods within a hybrid on premise and cloud hosted environment.

+ Utilize vendor apps and develop custom app configurations to standardize and normalize diverse data source types.

+ Develop and maintain service patterns used for platform, data collection and analytics.

+ Partner with internal and external teams to implement solutions which improve data engineering processes and enable automated and/or self-service data onboarding.

+ Collaborate with the Service Manager, Data Stewards and customers to support and prioritize business requirements.

+ Support the Platform Engineering, Data Management and Analytics Lifecycle processes from inception and design through deployment, operation, and optimization.

+ Ensure documentation details the methods to collect, triage and backfill data feeds and analytic result sets to support monitoring and data resiliency.

+ Proactively, continuously assess and identify opportunities to better maintain and reduce ingestion volume.

+ Manage technical work activities of contingent worker resources to engineer data and ensure procedures and standards are adhered to.

+ Ensure high infrastructure, data and analytics reliability, efficiency, and quality standards are maintained and continuously improve engineering practices and processes.

+ Support 24x7 oversight of Business as Usual (BAU) operations, along with continual monitoring of the service for quality levels, and response to outages or performance issues with a sense of urgency.

+ Participate in incident, problem, and change management process related to Splunk and related supporting platforms.


+ Bachelor's degree in Computer Science or related discipline with 5+ years experience.

+ Competency with Unix/Linux command line; network connectivity and data flow troubleshooting.

+ Superior analytical and creative problem-solving skills. Demonstrate successes in analysis, conclusions and improvement.

+ Flexible to changing priorities and comfortable in a fast-passed dynamic environment.

+ Strong problem-solving abilities with an analytic and qualitative eye for reasoning under pressure.

+ Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision.


+ Master's degree

+ 5+ years in a hands-on analytic platform engineering role.

+ 2+ years of experience of hands on experience with Splunk.

+ Script languages: Python

+ Experience in designing, developing, and implementing advanced analytic platforms and data collection methods, sizing for data storage, index strategies, ingesting/indexing processes, transforming/normalizing data to common standards, data enrichment and/or anonymization of data upon ingest.

+ Experience transforming large datasets into consumable assets for self-service analytics and reporting.

**Other Job Details:**

+ Additional locations: Groton, CT or Collegeville, PA

+ Eligible for Employee Referral Bonus

+ \#LI-PFE

**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.

Information & Business Tech


Posted: 2020-05-11 Expires: 2020-07-12

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Analytics Solution Engineer

Collegeville, PA 19426

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