Business Intelligence Developer

Medclinicx; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Med Clinic X is seeking a Business Intelligence Developer to design and build data models, dashboards, and reporting systems for healthcare SaaS and clinical platforms. You will work with large-scale healthcare datasets to derive actionable insights that inform clinical, operational, and business decisions across US healthcare organizations.

Collaborating with data engineers, analysts, and product teams, you’ll deliver scalable BI solutions, improve data visualization, and enable data-driven

Qualifications

• Bachelor’s degree in Data Science, CS, Information Systems, or related field.
• Experience in BI engineering or data analytics.
• Strong SQL skills (analytical functions, indexing, optimization).
• Understanding of relational database modeling principles.

Responsibilities

• Design and build BI dashboards for healthcare systems.
• Develop reports for clinical, operational, and business insights.
• Transform raw healthcare data into actionable intelligence.
• Create KPI tracking systems for SaaS platforms.

Skills

Strong SQL skills

Relational database modeling

Data analytics

BI engineering experience

Education

Bachelor's degree in Data Science, CS, Information Systems, or related field

Tools

Power BI

Tableau

Python

Job description

Med Clinic X is a healthcare technology company building modern data-driven systems that support healthcare organizations across the United States.

We develop healthcare SaaS platforms, AI-powered healthcare systems, patient portals, telemedicine solutions, automation workflows, and advanced analytics platforms for clinics, hospitals, and healthcare providers.

Our mission is to transform healthcare data into meaningful insights that improve decision-making and operational efficiency.

Job Overview

We are seeking a Business Intelligence Developer to design and build data models, dashboards, and reporting systems for healthcare SaaS and clinical platforms.

In this role, you will work with large-scale healthcare datasets to create actionable insights that support clinical, operational, and business decisions across healthcare organizations in the United States.

You will collaborate with data engineers, analysts, and product teams to build scalable BI solutions.

Responsibilities

• Design and build BI dashboards for healthcare systems.
• Develop reports for clinical, operational, and business insights.
• Transform raw healthcare data into actionable intelligence.
• Create KPI tracking systems for SaaS platforms.

Data Modeling & Warehousing

• Build and maintain healthcare data models and schemas.
• Optimize queries for performance and accuracy.
• Work with structured and semi-structured healthcare data.
• Support ETL processes and data pipelines.

Business Intelligence Systems

• Develop automated reporting systems for healthcare platforms.
• Support decision-making with real-time analytics dashboards.
• Improve data visualization and reporting accuracy.
• Work on predictive and descriptive analytics systems.
• Work closely with engineering and product teams.
• Translate business requirements into BI solutions.
• Improve reporting systems based on user feedback.

Qualifications

Required

• Bachelor’s degree in Data Science, CS, Information Systems, or related field.
• Experience in Business Intelligence engineering or data analytics.
• Strong SQL skills (analytical functions, indexing, optimization).
• Understanding of relational database modeling principles.

Preferred

• Experience in US healthcare or healthcare SaaS environments.
• Familiarity with HIPAA compliance and healthcare data governance.
• Experience working with EHR/EMR data structures.
• Exposure to cloud data warehouses (Snowflake, BigQuery, etc.).
• Basic scripting in Python for automated report triggers.

Why Join Med Clinic X?

At Med Clinic X, you will turn complex healthcare data into clear insights that drive better decisions. You will:

• Build BI systems used across US healthcare organizations
• Work with real clinical and operational data
• Collaborate with AI, engineering, and product teams
• Contribute to data-driven healthcare innovation

Technical Core

SQL & Query Optimization BI Tools (Power BI / Tableau) Data Modeling & Schema Design ETL / ELT Pipeline Concepts Cloud Data Warehouses Python for Data Analysis

Key Systems Involved

Build aggregated usage dashboards and churn analysis tools.

Clinical Reporting Systems

Design diagnostic cohort charts tracking longitudinal patient histories.

EHR/EMR Data Systems

Normalize patient observations, diagnostics, and appointments data feeds.

Healthcare Operational Dashboards

Build real-time clinical occupancy, throughput, and appointment metrics.

Incorporate machine learning prediction confidence levels in reports.