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Data & Analytics Product Operations Intern

  • United States

$16 USD / hour

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
$16 USD / hour
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Parsippany Data and Analytics Product Operations Intern

Location: Parsippany, NJ

Role Description:

Zoetis is seeking a Data and Analytics Product Operations Intern to support our Diagnostics Digital ecosystem by improving how product and business teams find, understand, trust, and use data. The intern will partner closely with Business and Technical Product Managers, Product Owners, and engineering teams to support analytics dashboards, define core data elements, and advance foundational data governance practices, including data cataloging, definitions, documentation, and data quality.

Key Responsibilities:

  • Support the development and maintenance of product and operational dashboards, including metrics related to adoption, workflow usage, reliability, and availability, in partnership with product and engineering teams.
  • Assist with data governance initiatives, including maintaining data catalog entries, business glossary terms, core data elements, and basic lineage and contextual documentation for key datasets.
  • Enable self-service analytics by developing how-to guides, facilitating training sessions and office hours, and helping product teams understand dashboard usage, data interpretation, and data literacy best practices.
  • Collaborate with data and engineering stakeholders to identify data gaps, including instrumentation, tagging, and missing fields, while tracking action items and supporting continuous improvement in data quality and usability.

Qualifications:

  • Currently pursuing a Bachelor’s degree from an accredited U.S. college or university, with an anticipated graduation date in 2027.
  • Preferred areas of study include Business Analytics, Information Systems, Data Science, Computer Science, Industrial Engineering, Statistics, Applied Mathematics, or a related field.
  • Demonstrated interest in analytics, data usability, and data governance, including concepts such as data definitions, data quality, metadata, and cataloging.
  • Strong written and verbal communication skills, with the ability to explain data concepts to both technical and non-technical audiences.
  • Ability to collaborate effectively across business, product, data, and engineering teams.
  • Experience with or exposure to common analytics and business intelligence tools, such as Power BI, Tableau, and SQL.

Compensation:

The following hourly pay rates reflect the anticipated base pay for this position:

  • Associate-level degree: $16.00/hour
  • Undergraduate-level degree: $22.00/hour
  • Graduate-level degree: $32.50/hour
  • Doctorate-level degree: $36.00/hour

For candidates located in California, Connecticut, District of Columbia, Illinois (Chicago area), Massachusetts, New Jersey, New York, or Washington (Seattle area), the anticipated hourly base pay rates are:

  • Associate-level degree: $17.00/hour
  • Undergraduate-level degree: $24.20/hour
  • Graduate-level degree: $36.40/hour
  • Doctorate-level degree: $40.30/hour

Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.

Zoetis is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

More about this job

Skills

  • Data analysis
  • Cataloging
  • Documentation
  • Workflow
  • Process improvement
  • Computer science
  • Industrial engineering
  • Statistics
  • Communication skills
  • Business intelligence
  • Microsoft Power BI
  • Tableau
  • SQL

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