Remote Technical Product Analyst for DTQ & Data

Bertelsmann-Jobs; New York (NY); Remote; USD 71,000 - 75,000; Full time

Benefits offered by this job

Comprehensive benefits

Remote-friendly environment

Commuter benefits

Education assistance

Generous paid time off

Job summary

Penguin Random House is seeking a Technical Product Analyst to join the Customer Operations team supporting DTQ, a metadata and asset distribution platform. The role focuses on detailed requirements, testing, troubleshooting, and release readiness across business and technical teams.

The ideal candidate has strong analytical skills, excellent collaboration abilities, and experience with data-driven problem solving within complex systems.

Qualifications

• 3+ years of experience in technical product analysis or a related field.
• Experience translating business needs into functional or technical requirements.
• Experience developing and executing software test plans and regression testing.

Responsibilities

• Translate business needs into detailed functional and technical requirements, user stories, and acceptance criteria.
• Analyze workflows, data flows, and system dependencies to assess impact of changes.
• Develop and execute functional, regression, integration, and release testing.
• Document and track defects, reproduce issues, and validate fixes.
• Maintain test coverage for critical functions and improve testing practices.
• Support Agile development activities including backlog refinement and sprint planning.
• Troubleshoot production issues using data and system analysis.

Skills

Technical product analysis

Data analysis

Communication

Agile practices

Tools

JIRA

ServiceNow

Job description

Penguin Random House is seeking a Technical Product Analyst to join the Customer Operations team supporting DTQ, a metadata and asset distribution platform. The role focuses on detailed requirements, testing, troubleshooting, and release readiness across business and technical teams.

The ideal candidate has strong analytical skills, excellent collaboration abilities, and experience with data-driven problem solving within complex systems.