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# Data & Qualitative Analyst

- **Company:** Heitech Services
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Data Cleansing, Document-Oriented Databases, Metadata, Software Version Control
- **Published:** July 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=919f30ac71a2ce02

## About the Role

* Experience performing quantitative and qualitative data analysis for Federal or similar program reporting environments.
 * Knowledge of data cleaning, validation, reconciliation, quality assurance, metadata, documentation, version control, and reproducible analytic practices.
 * Ability to identify, code, synthesize, and present themes and insights from narrative or text-based data.
 * Experience preparing analytic products, narrative reports, summaries, data tables, and findings for leadership, program staff, or public-facing audiences.
 * Ability to work under concurrent reporting cycles and respond to routine and urgent data calls with accurate, well-documented outputs.

## Description

The Data & Qualitative Analyst supports ACL/AoD data receipt, preparation, cleaning, validation, analysis, interpretation, and reporting across AoD-funded programs. This role also conducts qualitative analysis of narrative and text-based information to supplement quantitative findings and support program oversight, statutory reporting, performance measurement, and decision-making., * Extract, transform, standardize, clean, validate, and organize program data from ACL systems and other authorized sources.

 * Conduct descriptive, diagnostic, comparative, longitudinal, cross-program, and qualitative analyses to identify trends, gaps, patterns, and outcomes.
 * Prepare data tables, narrative summaries, analytic findings, briefing materials, and decision-support products for technical and non-technical audiences.
 * Support PPRs, State Plans, Annual Work Plans, performance measures, Congressional inquiries, budget justifications, and other reporting needs.
 * Document data definitions, transformation logic, lineage, business rules, assumptions, validation criteria, and analytic limitations.


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