Analyst, Media & Sports
Hive· Hive Media
San Francisco$60k - $85kFull-timePosted 11mo ago
About the role
Analyst role within Hive’s Media team focused on supporting delivery and growth of the media business through quantitative analysis, cross-team collaboration, and client-focused solutions.
Responsibilities
- Conduct internal and external analysis on Hive offerings to refine solutions and commercialization strategies
- Communicate outcomes of various projects and analytics to ensure growth and development of business goals
- Collaborate with machine learning and engineering teams in developing working solutions that benefit the client
- Enhance awareness in the targeted business community of Hive and our products / services
- 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
Qualifications
- Bachelor's degree
- 0-1 years of work experience (preferred)
- Excellent written and verbal communication skills
- Demonstrated success in a competitive environment
- Highly self-motivated and ambitious in achieving goals
- Strong team player, but able to work and execute independently
- Driven and eager to learn with opportunities to contribute
- Highly organized and detail-oriented; able to manage multiple projects and dynamic priorities
Skills
Required:Analytical mindsetCommunicationCross-functional collaborationProject management
Benefits
- Base salary range: $60,000 - $85,000 (additional compensation such as stock options may be offered)
Last updated Jul 29, 2026. Interested? Apply on the company site.
About Hive
AI to Understand, Search, and Generate Content | Hive
Hive's APIs enable developers to integrate pre-trained AI models that address technically challenging content understanding needs into their applications.
ai modelssolutionscontent understandingcomputer visiondeep learningai solutionsdata labeling
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