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Data Operations Analyst

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djinni.co
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Що робити

  • Be the Data Detective: Perform root cause analysis using SQL and Python to uncover nuances and issues with the data, ensuring nothing slips through the cracks.
  • Drive Quality Assurance: Conduct QA procedures and regular backtesting processes to pinpoint opportunities for enhancing data accuracy and consistency.
  • Engineer Automated

Що очікуємо

  • Education: Bachelor's degree in a technical field (e.g., Industrial Engineering, Information Systems) or equivalent practical experience in a data-heavy environment.
  • Experience: 1–3 years of experience as a QA Analyst, Data Analyst, or similar role.
  • Technical Proficiency: Strong proficiency in SQL and familiarity with data warehousing solutions (e.g., Snowflake, Google BigQuery, ClickHouse).
  • Coding: Experience cleaning and normalizing key data sources using SQL and Python.
  • Visualization: Experience building and using data visualization tools (e.g. Hex, Preset, Tableau) is a plus.

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