Investor Reporting Analyst
ValonFull Time
Junior (1 to 2 years)
Candidates should possess 5+ years of experience in Analytics Engineering, Business Intelligence, or a similar data-focused role, along with advanced expertise in Tableau for developing executive-level dashboards and visualizations. Strong SQL skills and experience optimizing queries for performant, accurate reporting are essential, as are exceptional skills in metric definition, documentation, and communication with meticulous attention to detail. Experience with data modeling and ETL processes to enhance reporting efficiency and reliability is also required.
The Analytics Engineer will collaborate closely with Data Science & Business partners to understand reporting needs and deliver dashboards that provide clear, actionable insights. They will develop, maintain, and enhance executive dashboards using Tableau, ensuring they reflect best practices in data visualization and usability. The role involves defining, documenting, and maintaining clear and precise definitions of key business metrics, ensuring consistency and clarity across reporting. Additionally, the engineer will ensure the accuracy, integrity, and performance of underlying data queries, proactively identifying and resolving data quality issues, establishing standards and best practices for dashboard development and management, educating stakeholders and team members, and partnering cross-functionally with data engineering, analytics, and business teams to streamline data sourcing and drive continuous improvement in reporting capabilities.
Develops safe and beneficial AI technologies
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.