Remote Data Operations Analyst (Contract)

Randstad USA

New York (NY)

Remote

USD 43,000 - 50,000

Part time

3 days ago
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Job summary

Randstad Digital is seeking a data operations professional to support databoost workflows and ensure financial data integrity. The role is remote in the United States, with contract terms and hourly pay.

You will execute high-volume data workflows and apply predefined acceptance criteria using Bash, Python, SQL, and BigQuery. The ideal candidate has a technical degree or equivalent experience, strong English skills, and meticulous attention to detail.

Qualifications

  • A Bachelor's degree in a technical discipline, and/or prior work experience in Technical Operations/Data Analysis.
  • Advanced english verbal and written communication skills.
  • Great attention to detail.
  • Exposure to Bash, Python or other similar languages, comfortable with spreadsheets and numbers.

Responsibilities

  • Databoost workflow support, MDE config support, Orca support
  • Execute high-volume data workflows daily, using step-by-step one-books
  • Apply predefined quality and acceptance criteria
  • Operate within systems like Unix shell, SQL, BigQuery, and others
  • Respond to push alerts and execute defined tasks in real-time
  • Escalate only when needed; most tasks should be handled independently via one-books
  • Do not deviate from one-books - compliance is critical

Skills

Advanced English
Attention to detail
Strong communication

Education

Bachelor's degree in a technical discipline

Tools

Unix shell
SQL
BigQuery
Bash
Python

Job description

Randstad Digital is seeking a data operations professional to support databoost workflows and ensure financial data integrity. The role is remote in the United States, with contract terms and hourly pay.

You will execute high-volume data workflows and apply predefined acceptance criteria using Bash, Python, SQL, and BigQuery. The ideal candidate has a technical degree or equivalent experience, strong English skills, and meticulous attention to detail.

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