Responsibilities
- Develop product quality and performance KPIs and track over time via dashboarding and automated reporting
- Analyze high volume data using SQL and effectively communicate findings
- Collaborate with Business Development to provide data-backed insights to our partners and clients
- Develop and own product processes. Collaborate with Engineering and QA teams to execute on process-driven objectives
- 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
- You have a bachelor’s or graduate degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics
- You have 1-3 years of work experience in an analytics focused role at a technology or technology consulting firm
- You have experience scripting with SQL, extracting large sets of data, and designing ETL flows. You also have experience with a statistical or scripting language such as Python, Node JS, R, or MATLAB
- You have experience in an interdisciplinary/cross-functional field. Added points for enterprise-technology, SaaS, client facing, or start-up experience
- You have distinctive problem-solving skills and impeccable business judgment. You know how to translate analysis results into business recommendations, and possess excellent written and verbal communication skills
- You have experience articulating product and business questions, pulling data from datasets (SQL) and conducting business analysis to arrive at an answer. You are able to collaboratively structure and define analysis with initially ambiguous requirements
Top Skills
What We Do
Hive is the leading provider of cloud-based enterprise AI solutions to power the next wave of intelligent automation. The company offers a portfolio of best-in-class deep learning models, built with consensus-validated training data sourced and annotated by a distributed workforce of more than 2 million registered contributors. Hive's APIs enable use cases including automated content moderation, contextual advertising, advertising and sponsorship measurement, document parsing, and more. Hive processes billions of API requests per month for many of the world’s largest and most innovative companies.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Jericho Capital, Bain & Company, Visa Ventures, and others. In April 2021, Hive announced a $50M Series D at a $2B valuation. The San Francisco-based company has 175+ full-time employees globally, in addition to a distributed workforce of more than 2 million global contributors that supports data labeling operations. For more information, visit thehive.ai.









