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Analyst - DataOp

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BlackRock Investments

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Location:
Mexico , Mexico City

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

We are looking for a high performing individual who is passionate about data to provide data pipeline support, operations and engineering across multiple data domains and data platforms. Initially you will proactively identify and resolve data pipeline issues to ensure high quality on time data for our clients. In addition, you will optimize pipeline performance and understand how our clients use their data.

Job Responsibility:

  • Monitor and manage data pipelines to ensure the timely and accurate flow of data
  • Resolve quality checks alerts to ensure the accuracy, completeness, and consistency of data
  • Monitor and optimize data pipeline performance to meet and exceed established service level agreements (SLAs)
  • Collaborate with data engineering, data stewards, data owner teams to implement improvements in data quality processes and data pipeline performance
  • Implement proactive measures to identify and resolve data issues automatically
  • Maintain comprehensive documentation of data operations processes, monitoring procedures, and issue resolution protocols
  • Ensure documentation and operating procedures are up to date to facilitate knowledge transfer and training

Requirements:

  • 0-3 years’ experience in hands-on data operations including data pipeline monitoring, support and engineering
  • Hands on technical experience including troubleshooting data processing, orchestration (DAG-based orchestrated workflows) data ingestion, cloud-based databases/warehousing (Snowflake) and business intelligence tools
  • Excellent understanding of data quality assurance processes and methodologies
  • Experience monitoring, and supporting data pipelines that are fast, scalable, reliable, and accurate
  • Strong analytical and problem-solving skills, with a keen attention to detail
  • Effective communication and collaboration abilities
  • Bachelor’s degree in computer science, Engineering, Mathematics or Statistics

Nice to have:

  • Passionate about data platforms, data quality and everything data
  • Understand clients' data requirements to meet client data operations needs
What we offer:
  • Strong retirement plan
  • Tuition reimbursement
  • Comprehensive healthcare
  • Support for working parents
  • Flexible Time Off (FTO)

Additional Information:

Job Posted:
February 20, 2026

Expiration:
March 31, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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