Data Analyst

Job Description

Job Description

We are looking for a detail-oriented QA Analyst to join our team Massachusetts in a contract position with the potential to become permanent. This position will support the quality, stability, and effectiveness of business applications by evaluating system behavior, validating workflows, and identifying issues before release. The role partners with product, design, engineering, documentation, and business teams to improve user experience and strengthen operational reliability. This is a strong opportunity for someone who enjoys working in a growing environment, building structure, and contributing to a developing quality-focused practice.

Responsibilities:

• Assess new and existing application features to confirm they operate correctly and meet defined business needs.

• Work closely with cross-functional partners to clarify expected outcomes, review workflows, and verify that delivered solutions align with user requirements.

• Execute hands-on testing across employee-facing and customer-facing systems, documenting defects, inconsistencies, and usability concerns.

• Support release preparation by validating readiness, confirming issue resolution, and helping reduce production risk before deployment.

• Develop and maintain repeatable testing approaches, including regression coverage and end-to-end workflow checks, as the systems environment expands.

• Contribute to performance and reliability evaluations to help ensure applications function effectively under expected usage conditions.

• Help establish practical quality standards, documentation practices, and testing processes for a growing technology organization.

• Assist with manual validation activities in areas where automation, tools, or formal procedures are still being developed.

• 5+ years of experience in data analysis, quality analysis, systems testing, or a closely related role.
• Demonstrated ability to investigate issues, interpret business processes, and identify gaps that may affect system quality or user outcomes.
• Experience working with cross-functional teams that include product, engineering, design, and business stakeholders.
• Strong analytical skills with the ability to document findings clearly and translate observations into actionable recommendations.
• Familiarity with fraud analytics, fraud investigation, anti-fraud practices, or suspected fraud review is preferred.
• Comfortable operating in evolving environments where tools, documentation, and processes are still being established.
• Ability to manage multiple priorities while maintaining accuracy, organization, and attention to detail.