Product Analyst - Sports, Media, & Marketing

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software powered by proprietary AI models and datasets, unlocking breakthrough applications for critical business needs with deep learning and generative AI. Collectively, Hive's technology is transforming approaches to platform integrity / content moderation (including AI-generated content detection), brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Product Analyst - Sports, Media, & Marketing Role As a Product Analyst on the Hive Media team, you will be a key member of a growing product team and will own business-crucial quantitative analysis.  You are a self-starter who works efficiently and is capable of working with engineering to automate analysis to focus on high-value-add projects. As a Product Analyst, you relish tallying up the numbers one minute and communicating your findings the next. You are well versed in verbal, written, and visualization-driven communications. You will work to effectively turn business questions into data analysis, and provide meaningful data backed recommendations to our business teams and clients. Who We Are We are a group of ambitious individuals who are passionate about creating a transformative AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in the world. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon! The current expected base salary for this position ranges from $75,000 - $105,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here. 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

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