Hybrid Mid-level Data Analyst – Analytics & Operations

Posted 2 weeks ago

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About the role

  • Data Analyst supporting data processes and analytics at Itaú, ensuring efficient data management for decision-making. Contributing to insights for business areas and improving pipeline functions.

Responsibilities

  • Maintain, support and evolve data pipelines
  • Continuously monitor the data processing pipeline
  • Develop and improve pipelines from data ingestion through to availability for analytical consumption
  • Respond to incidents, identify root causes and impacts, and propose solutions
  • Create and maintain technical and functional documentation
  • Perform data analyses to identify patterns, anomalies, risks and opportunities
  • Conduct analytical and exploratory studies, translating data into insights for business areas

Requirements

  • Experience with data pipelines, including maintenance, support and evolution.
  • Strong knowledge of SQL for data manipulation, analysis and extraction.
  • Practical experience using Python for data processing.
  • Experience monitoring data processing pipelines, incident resolution and root cause analysis.
  • Familiarity with Big Data environments (e.g., Hadoop, Hive, Spark).
  • Experience with AWS data services (e.g., S3, Glue, EMR, Lambda, Athena).

Benefits

  • Transportation allowance (commuter benefit)
  • Meal voucher (restaurants) / Grocery voucher (supermarkets)
  • Medical plan (Fundação Saúde Itaú or Central Nacional Unimed)
  • Dental plan (Odontoprev or Interodonto)
  • Life insurance
  • Profit sharing (PLR) — participation in profits and results (subject to the bank's results)
  • Private pension plan
  • Exclusive discounts on our financial products
  • Extended maternity and paternity leave
  • Childcare / nanny subsidy (for parents)
  • Education assistance
  • Wellhub or TotalPass
  • Access to Itaú leisure clubs (Guarapiranga / Itanhaém and São Sebastião)
  • Additional perks you can learn about during the process

Job title

Mid-level Data Analyst – Analytics & Operations

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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