Data Analyst

We are looking for a candidate toperform substantive data analysis, validation, profiling, transformation, visualization, and analytical-support activities using authorized Government data sources and Government-managed environments. The Data Analyst develops analytical products that support Health IT operations, modernization, performance monitoring, decision support, system implementation, data quality, and other IHSC requirements.

Duties and Responsibilities

• Extract, query, transform, analyze, and validate data from Government-approved data
  sources.
• Conduct data profiling, data-quality analysis, reconciliation, validation, and anomaly
  identification.
• Develop analytical datasets, queries, calculations, visualizations, reports, and other
  required analytical work products.
• Perform ad hoc and recurring analyses addressing Health IT, operational, clinical,
  program, performance, and management requirements.
• Identify data-quality issues, investigate root causes, document findings, and develop
  corrective or remediation options.
• Develop and maintain data definitions, analytical documentation, data dictionaries,
  calculation methodologies, query documentation, and related artifacts.
• Perform data validation of reports, dashboards, analytical products, and data outputs
  for accuracy, completeness, and consistency before submission or release through
  applicable Government-approved processes.
• Analyze trends, patterns, variances, and performance measures and communicate
  findings through clear analytical products
• Coordinate with Data Engineers, Data Scientists, Reporting Analysts, Business Analysts, and other applicable personnel to support data and analytics requirements.
• Support validation of reports, dashboards, analytical products, and data outputs before release or use.
• Perform authorized configuration, testing, or implementation activities within Government-managed internal platforms when required by assigned analytical work

• Demonstrated experience with data analysis, querying, validation, reporting, or related
  analytical functions.
• Proficiency with applicable data-analysis and visualization technologies such as SQL,
  spreadsheets, business-intelligence tools, or comparable platforms.
• Knowledge of data quality, data validation, analytical methods, and data-documentation
  practices.
• Ability to analyze complex datasets and translate findings into clear reports and actionable information.
• Strong problem-solving, documentation, and communication skills.
• Experience with healthcare, Health IT, clinical, or Federal data is preferred.