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HiveHiveSan Francisco, CA

Data Operations Analyst

Manages data projects on Hive Data platform to support AI/ML model development, including setup, auditing, and collaboration with Product/ML teams. Requires bachelor's degree, 0-2 years experience, strong organization, and analytical skills.

Salary not listed
On-siteEntry levelData Analytics

About the role

Responsibilities

  • Create, set up, and audit projects on the Hive Data platform to support internal Product and ML initiatives and power proprietary Hive Models
  • Own and execute projects by creatively identifying ways our data solutions can advance model performance, product capabilities, and internal objectives
  • Ensure projects run smoothly by managing timelines, identifying challenges, and proactively resolving issues while keeping stakeholders informed
  • Collaborate with Product and ML teams at the start of each project to understand scope, technical requirements, and success criteria
  • Collaborate with engineers in order to set up optimal pipelines and efficiently audit projects
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

  • Bachelor's degree
  • 0-2 years of work experience
  • Highly organized and detail-oriented; handle multiple priorities without missing a beat
  • Excellent written and verbal communications skills with an analytical mindset
  • Demonstrated success in a competitive environment
  • Highly self-motivated and ambitious in achieving goals
  • Strong team player, but can work and execute independently
  • Driven and actively seek opportunities to contribute

Skills

Hive Data PlatformData PipelinesData AuditingSQLPythonData AnalysisData OperationsMl DatasetsProject ManagementAnalytical Tools

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