Business Intelligence & Data Quality Specialist (Administrator II)

MDH Deputy Secretary for Operations; Baltimore (MD); Hybrid; USD 80,000 - 120,000; Full time

Job summary

The Maryland Department of Health Data Office seeks a Business Intelligence and Data Quality Specialist to develop dashboards, validate data integrity, troubleshoot discrepancies, and collaborate with cross-functional teams to deliver accurate insights.

This full-time, hybrid telework-eligible role requires strong BI development skills with Tableau or Power BI, plus ETL, data quality, and governance knowledge.

Qualifications

• Five years of relevant work experience or equivalent education.
• Experience developing BI solutions with Tableau/Power BI and understanding of ETL processes.
• Experience in data quality assurance, validation, and writing complex queries for anomaly detection.

Responsibilities

• Develop and maintain public and internal dashboards.
• Validate data integrity and troubleshoot discrepancies.
• Collaborate with cross-functional teams to deliver accurate insights.

Skills

Data governance

Data quality assurance

Root cause analysis

Python or R scripting

Education

Five years of professional experience

Tools

Tableau

Power BI

SQL

Job description

The Maryland Department of Health Data Office seeks a Business Intelligence and Data Quality Specialist to develop and maintain public and internal dashboards, validate data integrity, troubleshoot discrepancies, and collaborate with cross-functional teams to deliver accurate insights. This full-time, hybrid telework-eligible position requires strong BI development skills with tools like Tableau or Power BI, combined with expertise in ETL processes, data quality assurance, and data governance compliance.

Key qualifications:

• Five years of administrative staff or professional work (or equivalent education substitution)
• Experience developing business intelligence solutions with Tableau, Power BI, or similar tools and understanding of ETL processes
• Experience in data quality assurance, validation, and writing complex queries for anomaly detection and root cause analysis
• Knowledge of data governance and compliance standards such as HIPAA and GDPR
• Basic scripting ability in Python or R to support data preparation and QA automation
• Familiarity with healthcare, public health, or government data systems