Business Intelligence Developer

Company Overview

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.

Position Overview

We are seeking a Junior BI Developer with foundational SQL, reporting, and data analysis skills, strong attention to detail, and a desire to build expertise in business intelligence development. This role is ideal for an early-career professional interested in developing hands-on experience with SAP BusinessObjects, enterprise reporting solutions, and business intelligence technologies in a federal client environment.

Working under the guidance of senior developers, analysts, data teams, and business stakeholders, the Junior BI Developer will support the development, maintenance, testing, and troubleshooting of enterprise reporting solutions using SAP BusinessObjects, SQL, and related analytics tools. Responsibilities include assisting with report and universe development, creating and validating SQL queries, testing and validating report outputs, documenting report logic and technical specifications, and supporting ongoing reporting operations and production issue resolution.

This position provides exposure to the full reporting solution lifecycle, including requirements analysis, design support, development, testing, deployment, maintenance, and continuous improvement of analytical products and reporting applications within enterprise business intelligence environments.

Key Responsibilities

• Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches. 
• Build and deploy end-to-end ML pipelines on AWS (e.g., SageMaker, S3, Glue) for scalable training, evaluation, and inference. 
• Develop and implement advanced NLP solutions, including text classification, entity recognition, topic modeling, and semantic search using models such as BERT and transformer-based architectures. 
• Design, build, and productionize RAG (Retrieval-Augmented Generation) systems, including document ingestion, embedding pipelines, vector search, and LLM orchestration. 
• Design and implement a scalable knowledge graph and semantic data model that captures relationships among policies, analytic use cases, data domains, information assets, products, and institutional knowledge, enabling advanced search, discovery, impact analysis, and AI-assisted knowledge retrieval. 
• Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and optimization techniques for accuracy, consistency, and cost. 
• Contribute to agentic AI system design, including multi-step reasoning workflows, tool use, and orchestration of LLM-driven agents for complex tasks. 
• Implement predictive analytics and statistical modeling to uncover patterns, trends, and insights from healthcare data. 
• Perform data mining and exploratory data analysis (EDA) using state-of-the-art techniques across structured and unstructured datasets. 
• Build data visualizations, dashboards, and analytical tools to communicate findings clearly to technical and non-technical stakeholders. 
• Evaluate model performance using appropriate metrics (e.g., accuracy, AUC, precision/recall) and present results in a clear, actionable manner. 
• Collaborate in an Agile environment with cross-functional teams including engineers, analysts, and stakeholders. 
• Recommend data-driven solutions and AI strategies aligned with CMS business needs and healthcare policy objectives.