Administer, monitor, and maintain Oracle Fusion Cloud Applications including Fusion ERP, WMS, EPM, and OTM. Install, configure, and support Oracle E-Business Suite R12 and Oracle Databases. Proactively monitor and optimize database and application performance, resolving performance bottlenecks and system issues. Execute environment cloning and refresh processes for Oracle EBS and Oracle Cloud applications.
We are seeking a highly motivated and technically skilled Data Analyst with strong experience in value-based care quality reporting. The ideal candidate will be proficient in data extraction, transformation, automation, and visualization, and will play a key role in developing and maintaining high-impact dashboards and reports that drive clinical and operational performance.
Work on the Research and Development team to create and expand Aibidia's range of solutions. You will play a pivotal role in delivering an exceptional product to clients such as Nokia, Dyson, and Bridgestone. Design and develop scalable data models and semantic layers within the BI tool to represent key business processes. Develop and maintain standard and configurable dashboards and reports for both internal and external use.
We’re looking for a Data Analyst to join our Growth team in a high-impact role. You’ll play a critical role in uncovering new growth opportunities, driving data-driven decisions, and setting up the infrastructure to make experimentation and insight generation more effective.
As a Senior Data Scientist, you will play a pivotal role in transforming our business vision into tangible features and actionable insights through the power of data. Your contributions will significantly influence the user experience, restructuring how our users engage with and derive value from our products. You'll work at the intersection of data science and product development, turning raw data into meaningful insights that drive business success.
We're looking for a talented and curious Product Analyst to join our remote team as a contractor. In this role, you'll be key to informing our product development and behavioral interventions through deep data analysis. You'll dive into user behavior patterns, product performance, and optimization opportunities, helping us iterate our way to better health outcomes for our users.
We are looking for a data-driven problem solver with strong statistical expertise to join our growing data science team. In this role, you’ll play a pivotal part in driving product innovation through rigorous experimentation, measurement, and insight generation. You'll collaborate with engineers, designers, and product managers to guide strategic decisions that impact millions of users.
As a Data Engineer, you will be a fundamental part of the team, working on the development and automation of data ingestion processes. Your main responsibilities include automating data flows, documenting and mapping processes, and collaborating with the team to ensure efficient data processing.
This role is responsible for scheduling, orchestrating, and executing big data workflows and jobs using next-generation Data Workflow Orchestration platforms to meet needs for scale and speed. You will build fully managed workflows, enabling high throughput, horizontal scalability, and advanced parametrized, event-based scheduling. Your team will build an ETL framework for incremental data processing for increased data accuracy, freshness, and easy backfill to directly impact the cost and operational efficiency of Analytics and ML.
The data scientist will lead a cross-functional team to develop an AI-powered solution that breaks down barriers to healthcare. By leveraging cutting-edge technologies, including LLMs from Google and Anthropic, the data scientist will analyze patient information and automatically generate accurate responses to complex forms. The ideal candidate will combine strong technical expertise with excellent communication skills and a passion for continuous learning.