BI Developer / Data Analyst

Eye Health America LLC•Greenville, SC

About The Position

About Eye Health America Eye Health America (EHA) is a high-growth ophthalmology and optometry practice management organization serving patients across the Southeast. We partner with physicians to deliver exceptional eye care while building the operational infrastructure that enables practices to thrive. As we scale toward our next stage of growth, analytics and business intelligence have become central to how we make decisions, track performance, and identify opportunities. Position Summary The BI Developer / Data Analyst is a foundational hire for Eye Health America's analytics capability. This role sits within the Strategic Initiatives function and works directly with the VP of Strategic Initiatives to build, maintain, and evolve our DOMO-based business intelligence environment. This is not a traditional back-office analyst role. You will be the person who brings our data to life — building dashboards that inform executive decisions, documenting the data architecture that underpins everything we measure, and helping EHA become an organization where AI-assisted insight is a daily reality, not a future aspiration. Why this role matters right now EHA recently entered the DOMO ACE Accelerate program — a structured knowledge transfer engagement designed to shift us from consultant-dependent to internally capable. Your first priority will be absorbing that institutional knowledge, taking ownership of our DOMO environment, and documenting the data tables and transformation logic that underpin our reporting. This is high-impact, high-visibility work from day one.

Requirements

3–5 years of experience in business intelligence, data analytics, or a closely related role
Proficiency with a modern BI platform — DOMO strongly preferred; Tableau or Power BI considered with demonstrated ability to ramp quickly
Strong SQL skills; ability to write and optimize queries against relational databases
Experience building ETL/ELT data pipelines and managing data flows
Demonstrated ability to translate ambiguous business questions into clean analytical outputs
Comfortable working in a fast-moving, lean environment where you will own your work end-to-end

Nice To Haves

Experience in healthcare, health systems, physician practice management, or a regulated clinical environment
Familiarity with healthcare data types — patient volume, scheduling, revenue cycle, clinical metrics, or similar
DOMO certification or ACE program experience
Exposure to AI/ML tools, natural language querying, or agentic AI workflows — even at an experimental level
Experience building or contributing to a semantic/data model layer
Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a related field (or equivalent experience)

Responsibilities

Build, maintain, and enhance dashboards, reports, and data visualizations in DOMO
Own and document all data tables, data flows, and transformation logic in the DOMO environment
Ensure data accuracy, consistency, and integrity across all reporting outputs
Serve as the primary internal DOMO resource — the go-to for questions, builds, and troubleshooting
Build and maintain a comprehensive data dictionary — every field defined, sourced, and owned
Design data structures using portable, platform-agnostic logic wherever possible
Partner with the ACE consultant during transition to capture all existing build knowledge
Create documentation standards that allow future team members to inherit a system they can understand
Translate business questions from the VP of Strategic Initiatives and department leaders into analytical outputs
Support development of executive KPI dashboards, physician performance metrics, and operational reporting
Identify patterns and anomalies in data; surface actionable insights proactively
Partner with finance, operations, and clinical teams to understand their data needs
Actively explore and implement DOMO's AI and agentic features as they mature
Support the build of the DOMO AI Library (semantic layer) — the foundation for AI-assisted querying
Stay current on emerging BI and AI tools; bring relevant ideas and experiments to the team
Approach every build with an eye toward automation: if a report is being produced manually, ask whether it can be generated intelligently