Data Analyst

• Supports the design, development, and implementation of new reporting requirements.
• Gathers and translates business needs and requirements from non-technical end users and stakeholders into query development and design.
• Fulfills ad-hoc reporting/data requests.
• Performs data validation to ensure completeness and accuracy of queries and reports and reconciles discrepancies.
• Assists in the evaluation and prioritization of reported issues and communicates status and resolution to relevant users.
• Participates in the maintenance of existing queries and reports, re-writing and enhancing these queries as needed.
• Assists in the building of data visualizations and dashboards in PowerBI to display defined KPI.
• Participates in the presentation of complex concepts and results to end users and stakeholders
• Participates in the migration from Tableau to PowerBI

Business Data Analyst

• Collect, clean, and analyze financial and operational data from multiple internal systems; use AI-assisted tools (including Claude) to accelerate data validation, anomaly detection, and cross-source reconciliation
• Develop and maintain advanced financial and operational models in Excel — as a designer, not just a user — and leverage Power BI for visualization and Power Query for automated data transformation
• Build and maintain Power Automate workflows to reduce manual reporting steps, automate data refreshes, and improve operational efficiency across finance functions
• Actively use Claude and other AI tools to generate analytical narratives, draft variance explanations, and identify trends that inform strategic recommendations
• Champion AI adoption within the organization by training colleagues, sharing practical use cases, and developing repeatable AI-assisted workflows that teams can adopt
• Serve as an active participant in NELC’s AI governance framework — contributing to the development of responsible use standards, data policies, and compliance guidelines for AI tools in a healthcare environment
• Contribute to the annual budgeting and quarterly forecasting processes, ensuring alignment with organizational goals and leveraging AI tools to improve accuracy and speed
• Analyze monthly financial results and trends to deliver actionable insights and strategic recommendations to senior management
• Identify trends, variances, and anomalies and communicate findings proactively to stakeholders, using AI-generated summaries and dashboards where applicable
• Structure and analyze large, complex data sets to uncover patterns, trends, and business opportunities
• Perform routine data quality checks and reconciliations to ensure consistency across data, reporting, and outcomes
• Collaborate with internal and external stakeholders to gather requirements, validate data, and ensure accuracy in reporting
• Create clear and compelling presentations and reports based on analytical findings and recommendations
• Design, maintain, and enhance dashboards and visualizations that communicate key metrics across the organization
• Maintain knowledge of applicable regulations and policies, including healthcare finance, reimbursement models, and HIPAA requirements as they relate to data and AI use

Financial Data Analyst

• Support management of program data across multiple sources
• Develop clear, actionable reports and dashboards tracking key outcomes
• Support data collection, cleaning, merging, and quality assurance
• Manage program evaluation data to inform planning and strategy
• Track training and technical assistance outcomes and recommend improvements
• Provide technical assistance to healthcare organizations, public health agencies, and partners
• Participate in workgroups and contribute to team objectives
• Contribute to proposal development and growth of digital health initiatives

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Business Data Analyst

Financial Data Analyst

Technical Advisor – Digital Health Data Analyst