The Role
Own quantitative product analysis for the Media team, including developing KPIs, dashboards, automated reporting, and analyzing high-volume data with SQL. Translate business questions into actionable recommendations for internal teams, partners, and clients. Collaborate with Business Development, Engineering, and QA on insights and product processes, while supporting data maintenance and information security practices.
Summary Generated by Built In
About Deploy
Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Product Analyst - Sports, Media, & Marketing Role
As a Product Analyst on the Deploy 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.
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
Who We Are
We are a group of ambitious individuals who are passionate about creating a transformative AI company. At Deploy, 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 Deploy 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.
Skills Required
- Bachelor's or graduate degree in Statistics, Computer Science, Engineering, Mathematics, or another quantitative field
- 1-3 years of experience in an analytics-focused role at a technology or technology consulting firm
- Experience scripting with SQL and extracting large datasets
- Experience designing ETL flows
- Experience with a statistical or scripting language such as Python, Node.js, R, or MATLAB
- Experience working in an interdisciplinary or cross-functional field
- Experience in enterprise technology, SaaS, client-facing, or startup environments
- Strong problem-solving skills and business judgment
- Ability to translate analysis results into business recommendations
- Excellent written and verbal communication skills
- Experience articulating product and business questions, querying datasets with SQL, and conducting business analysis
- Ability to collaboratively structure and define analyses with ambiguous requirements
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The Company
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.
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