Telemetry & Performance Data Analyst — Federal Health IT
Telemetry Performance Data Analyst — Federal Health IT
Location: Remote (United States) Personnel Vetting: Eligibility for a Tier 3 investigation
Turn Operational Data Into Reliable Performance Insight.
Rackner is seeking a Telemetry Performance Data Analyst to support a federal healthcare technology environment where accurate operational data and consistent performance measurement are essential to improving service delivery and user experience. This role transforms complex operational information into reliable dashboards, meaningful performance measures, and actionable insights.
You will collaborate with technical and operational teams to analyze data using SQL, develop Power BI dashboards, maintain measurement definitions, and support accurate, traceable reporting. Your work will help establish performance baselines, assess technology adoption, identify data-quality issues, and strengthen confidence in operational reporting.
Responsibilities
- Ingest, prepare, and normalize operational telemetry and related data from authorized sources, using SQL to query, analyze, and validate information for consistent reporting.
- Develop and maintain Power BI dashboards and analytical reports that communicate operational trends, service performance, and user experience measures.
- Maintain documented metric definitions, source lineage, and data-quality checks to ensure reported information is accurate, consistent, and traceable to its underlying sources.
- Develop and maintain measurement documentation covering applicable reporting populations, calculation methods, data sources, metric ownership, exclusions, and sampling considerations.
- Produce performance baseline reports using historical information, transition-period telemetry, and cohort-specific starting points to support consistent measurement over time.
- Prepare recurring reports on training activity, user guidance, and technology adoption to help stakeholders assess engagement, identify trends, and evaluate operational performance.
- Identify missing or inconsistent data, investigate reporting discrepancies, and collaborate with authorized stakeholders to support reconciliation, reporting accuracy, and continuous improvement.
Required Qualifications
- 3+ years of professional data analysis experience involving Power BI and SQL.
- Professional experience with Splunk or ServiceNow Performance Analytics.
- Eligibility for a Tier 3 investigation.
Preferred Qualifications
- Experience with healthcare application analytics, EHR utilization reporting, or clinical technology performance measurement.
- Healthcare operations analytics or related operational performance reporting.
- Using Python for data analysis, reporting, or automation.
Why Rackner?
Rackner builds mission-critical systems for the U.S. government across software engineering, AI/ML, DevSecOps, cloud platforms, distributed systems, and application modernization.
You'll have the opportunity to contribute to meaningful healthcare technology initiatives, work alongside multidisciplinary teams, and help strengthen performance analytics and measurement capabilities that support reliable technology operations and informed decision-making.
Benefits Perks
Rackner offers a competitive benefits package designed to support employees professionally and personally, including:
- Professional development and company-supported certification opportunities.
- 401(k) retirement plan with a 100% company match on contributions up to 6%.
- Medical, dental, vision, life, and disability insurance.
- Paid time off and paid holidays.
- Home-office equipment and remote-work support.
- Fitness and wellness reimbursement.
- Weekly pay and company team events.
Benefits are subject to applicable eligibility requirements and plan terms.
Work Arrangement
This is a remote position based in the United States. The role involves collaboration with cross-functional teams supporting federal healthcare technology operations.
Equal Employment Opportunity
Rackner is an equal opportunity employer. Employment decisions are made without regard to any status protected by applicable law.
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