出海雷达

🌎数据分析师 - 远程,联系人

🌎 Data Analyst - Remote, Contact

AI市场运营未标注地域
公司Xperteez Technology
薪资未公开
工作地点Worldwide
地域资格未标注地域
时区要求日间重叠约 9 小时,基本正常作息
用工类型Contractor
发布时间4 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →

Role Title: Data Analyst
Role Type: Contractor
Location: Remote
We are engaging Data Analysts to contribute to a high-impact customer project focused on business data. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. This opportunity is ideal for experienced professionals who can expertly review, analyze, and ensure the privacy of large-scale data sets, with a particular emphasis on business data and quality assurance.
Required Skills

  • PII
  • Data Privacy
  • Document Review
  • Data Analysis
  • Quality Assurance

Scope of Work

  • Review and analyze extensive business data sets for accuracy, completeness, and relevance.
  • Conduct thorough document review with strict adherence to data privacy and PII protocols.
  • Identify, flag, and resolve data quality issues, inconsistencies, and anomalies.
  • Deliver detailed feedback and recommendations on data findings to inform AI training processes.
  • Contribute to the development and refinement of quality assurance standards for data review assignments.
  • Collaborate with project stakeholders through clear, professional written and verbal communication.
  • Ensure compliance with all established data privacy and security guidelines throughout project deliverables.

Preferred Qualifications

  • Demonstrated expertise in handling and analyzing large business data sets.
  • Proven experience managing data containing personally identifiable information (PII) and sensitive material.
  • Strong understanding of data privacy regulations and best practices.
  • Background in document review, data quality assurance, or audit projects.
  • Exceptional written and verbal communication skills; ability to convey complex findings clearly and concisely.
  • High attention to detail and commitment to data accuracy and integrity.
  • Experience working remotely and delivering consistent, reliable output in a distributed project environment.

Originally posted on Himalayas

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