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1 день назад

Senior Data Operations Analyst (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Operations Analyst (AI): Leveraging AI and automation to enhance item coding accuracy and streamline data processes for the APAC region with an accent on GenAI integration and operational excellence. Focus on designing prompts, automating data cleaning with Python/SQL, and monitoring operational KPIs via Power BI.

Location: Based in Shanghai, China office

Company

NIQ is the world’s leading consumer intelligence company, delivering a holistic retail read and comprehensive consumer insights through advanced analytics.

What you will do

  • Use GenAI tools (LLMs, Copilot, ChatGPT) to automate repetitive tasks and improve data coding accuracy.
  • Design, test, and refine prompts for production-level coding workflows (prompt engineering).
  • Process, clean, and transform large-scale datasets using Python and SQL to develop automation scripts.
  • Build and maintain Power BI dashboards to track operational KPIs like accuracy and delivery timelines.
  • Collaborate with local and global teams to ensure requirement alignment and smooth project execution.
  • Monitor data quality, identify root causes of errors, and propose actionable reliability improvements.

Requirements

  • Must be based in the Shanghai office.
  • Hands-on experience using AI/GenAI tools in a professional setting, including prompt engineering.
  • Proficiency in Python and/or SQL for data processing, scripting, and automation.
  • Excellent English language skills (oral and written communication).
  • University degree in Computer Science, Data Science, Statistics, or a related field.
  • Strong attention to detail and critical thinking skills when working with large datasets.

Nice to have

  • Experience with Power BI.
  • Familiarity with data operations, item coding, or FMCG/retail data environments.

Culture & Benefits

  • Flexible working environment.
  • Volunteer time off.
  • Access to LinkedIn Learning.
  • Employee Assistance Program (EAP).

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