Position: Business Intelligence Developer
Location: Brazil
About RHEI:
RHEI is a creator economy company advancing the industry by helping creators, media companies and brands find success through digital content. We provide end-to-end solutions to help creators and media companies grow their audiences and revenue, while helping brands connect to hard-to-reach digital fans. Our proprietary technologies leverage generative AI, machine learning, digital signal processing and big data to power our platform and ecosystem, and we are the largest multi-vertical video publisher in the world, reaching tens of billions of monthly views and over 600 million monthly uniques.
About the role:
We are a media-tech company advancing the world through the creation, distribution, management and monetization of content. Our company provides end-to-end solutions to content owners including proprietary tech, leading services and enhanced distribution and monetization.
We have built proprietary VISO technologies leveraging machine learning, digital signal processing and big data to power our platform and ecosystem. Our key revenue streams represent the most relevant and scalable opportunities for monetization of digital IP across advertising, SaaS/content management, mobile apps and other revenue streams. We are the second largest video property worldwide in terms of unique viewers following only Google, reaching tens of billions of monthly impressions.
We're excited to be adding a Business Intelligence Developer to our Content Management team, specializing in analyzing video content data and trends from various platforms such as YouTube, Facebook, Snapchat, and TikTok. The ideal candidate will have a strong background in data analysis, business intelligence tools, and a deep curiosity for how complex data can be interpreted to tell meaningful stories.
As RHEI is a high growth company, you should enjoy working in an entrepreneurial, high change environment. RHEI has a remote work model which offers the best work life balance.
Key Responsibilities:
Data Collection and Integration:
Data Analysis and Visualization:
Platform-Specific Analysis:
Performance Optimization:
Forecasting and Predictive Modeling:
Communication and Collaboration:
Key Requirements: