Aone Talent

Business Intelligence Analyst

• Collaborate with stakeholders to understand business requirements and design comprehensive business intelligence solutions
• Develop data modes, data integration processes, and data visualization strategies
• Analyze large and complex datasets to extract meaningful insights
• Identify trends, patterns, and outliers to support data-driven decision-making processes
• Design and implement data integration processes from various sources (databases, APIs, flat files, etc.) to create a unified view of the agency’s data
• Develop interactive and visually appealing dashboards and reports using MicroStrategy BI to convey insights and Key Performance Indicators (KPIs) to stakeholders
• Establish and enforce data governance policies, ensuring data accuracy, consistency, and security
• Collaborate with data owners to maintain high data quality standards
• Collaborate and communicate with business stakeholders to understand their needs and challenges
• Monitor and optimize the performance of BI solutions
• Maintain up-to-date documentation for all BI solutions and processes
• Track status for all program deliverables, ensuring ownership and accountability for each
• Develop accurate weekly and monthly status reports including team activities, risks, issues, progress toward milestones, and decisions.

Senior Business Intelligence Architect

AI Engineer

• This is a remote position.
• During this internship, you will play a pivotal role in accelerating a fast-moving project encompassing software stack development, Artificial Intelligence, Computer Vision, and network interoperability.
• Duration- 8 weeks (June- early August)
• This internship project focuses on continuing the development of an LLM+VLM tool that supports both multi modal content and external enterprise data sources.
• The objective is to give users a unified way to ask questions, analyze documents, and build retrieval workflows, whether the data comes from local files, images, scanned documents, and external sources.
• The intern(s) will join an existing team to continue the framework that allows the platform to securely connect to external systems.
• This includes support for authentication, configuration, connection health checks, source discovery, and document ingestion into existing analysis and RAG pipelines.
• The project will emphasize clean architecture so new connectors can be added later with minimal changes to the core platform.
• Attention will be given to multi-user and multi-organization requirements such as role-based access control, token-based access, and separation of data between organizations and users.
• Because some tasks may take time to complete, the internship will integrate a job management model for long-running operations such as batch analysis, ingestion, and indexing.
• This includes thinking about queue visibility, task status, and scalable execution in a multi-user environment.
• This project is well-suited for a student interested in AI systems, backend development, API design, multi modal AI, and secure enterprise integration.

Senior Business Intelligence Architect

Machine Learning/AI Engineering Internship, LLM Focus