Technical Product Analyst - Data QA & Analytics (Remote)

ProfilHQ; Fort Lauderdale, Holmdel Township (FL, NJ); Hybrid; USD 85,000 - 105,000; Full time

Benefits offered by this job

Health benefits

Paid PTO

401(k) matching

Parental leave

Hybrid work schedule

Job summary

CentralReach is a leading provider of autism and IDD care software. This Technical Product Analyst role supports Data Product teams by turning requirements into validated, production-ready data products.

You will bridge product strategy and engineering, ensuring robust data logic underpins analytics features. You will partner with Product Managers and engineers on SQL data validation, metric reconciliation, and QA tooling.

Qualifications

• 2+ years as data analyst, BI analyst, QA/data validation, or technical product analyst in healthcare or SaaS data environment.
• Strong proficiency in writing and reading SQL to validate data against source-to-target logic.
• Hands-on experience with BI reporting/visualization tools (Sisense, Tableau, Power BI, Looker).
• Familiarity with elasticube structures and AI-agent tooling.

Responsibilities

• Refine requirements with Product Managers, define acceptance criteria, support backlog grooming and release readiness.
• Own SQL-based data validation and metric reconciliation across data pipelines.
• Review AI-agent QA outputs, design test cases and follow up on discrepancies.
• Investigate data discrepancies and production issues; escalate upstream problems when needed.
• Serve as front-line owner for internal/external user questions on data and dashboards; triage and route requests.

Skills

SQL proficiency

Data validation

Communication

Analytical thinking

Tools

Sisense

Tableau

Power BI

Looker

Python

Job description

CentralReach is a leading provider of autism and IDD care software. This Technical Product Analyst role supports Data Product teams by turning requirements into validated, production-ready data products.

You will bridge product strategy and engineering, ensuring robust data logic underpins analytics features. You will partner with Product Managers and engineers on SQL data validation, metric reconciliation, and QA tooling.