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Data Analyst

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Onsite

Data Analyst

IDC咨询(北京)有限公司

Data Analyst

Skills

SQL QueriesPythonData ScienceData AnalysisAINo-code ApplicationsJavascript

3 months ago

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Important information


Contract type:

Permanent

Location:

Beijing, China

Work mode:

Onsite

Published on:

26 August 2026

What they need


该职位来源于猎聘 What You’ll Do

  • Identify business processes, recurring manual tasks, and data workflows that can be improved through AI automation or data-driven solutions.
  • Evaluate relevant AI tools, platforms, and implementation approaches, validate practical use cases and knowledge-retrieval solutions based on business automation needs that meet data availability, complexity and expected impact.
  • Develop and maintain lightweight AI-enabled applications, automation scripts, data-processing workflows, dashboards, or internal tools using programming and low-code or no-code platforms where appropriate.
  • Collaborate across teams to align workflows, integrate AI-enabled solutions into existing processes, and ensure smooth handoffs between functions, improving overall operational efficiency.
  • Track relevant AI technology developments and share actionable insights, best practices, and new use-case ideas with the team. What You Bring
  • Bachelor’s degree or above in computer engineering, data science, business analytics or other relevant fields. 2.1-3 years of relevant work experience in software development, data analytics, business automation, artificial intelligence applications, or related technical roles.
  • Demonstrated programming experience or development background; proficiency in at least one programming language (such as Python, SQL, JavaScript, or similar) is preferred.
  • Hands-on experience using generative AI tools and large language model platforms for research, coding, analysis, automation, or content generation.
  • Understanding of practical AI application patterns, prompt engineering, AI agents, and data quality validation.
  • Strong learning agility and genuine curiosity about emerging automation tools, workflows, and industry applications.
  • Practical problem-solving mindset, with strong ownership and willingness to test, iterate, and improve solutions independently in a fast-changing environment.

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