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.
About the job
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 Platform, Data Pipelines, Data Auditing, SQL, Python, Data Analysis, Data Operations, Ml Datasets, Project Management, Analytical Tools
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