Remote Healthcare Data Product Analyst - QA & Validation

CentralReach, LLC; United States; Hybrid; USD 85,000 - 105,000; Full time

Benefits offered by this job

Comprehensive health benefits

Generous PTO

401(k) matching

Paid parental leave

Hybrid work schedules

Wellness programs

Job summary

United States Digital Space LLC is a leading healthcare data software provider, delivering ABA and related therapy analytics to providers, educators, and employers. The Technical Product Analyst will bridge product strategy and engineering, ensuring data logic underpins analytics features with strong validation and QA capabilities.

You will partner with Product Managers, own data validation, and drive process improvements in a hybrid role spanning product execution, data QA, and data

Qualifications

• 2+ years in data analyst/QA/data validation/technical product analyst roles, preferably healthcare or SaaS.
• Strong SQL writing and data validation against source-to-target logic.
• Experience with BI tools for dashboards and data visualization.
• Familiarity with elasticubes and AI-agent tooling.
• Experience in Agile/Scrum and backlog support.
• Excellent documentation and stakeholder communication skills.

Responsibilities

• Partner with Product Managers to refine requirements and acceptance criteria.
• Own SQL-based data validation and metric reconciliation across ETL pipelines.
• Interpret AI-agent QA outputs and design test cases for data quality.
• Investigate data discrepancies and triage issues across data pipelines and BI layers.
• Serve as front-line contact for internal/external users on data and dashboards.

Skills

SQL proficiency

Data validation

BI analysis

Agile/Scrum

Documentation

Communication

Tools

Sisense

Tableau

Power BI

Looker

Elasticubes

Python

Job description

United States Digital Space LLC is a leading healthcare data software provider, delivering ABA and related therapy analytics to providers, educators, and employers. The Technical Product Analyst will bridge product strategy and engineering, ensuring data logic underpins analytics features with strong validation and QA capabilities.

You will partner with Product Managers, own data validation, and drive process improvements in a hybrid role spanning product execution, data QA, and data