Sr QA Analyst

Description

We are looking for a Sr QA Analyst to join a long-term contract opportunity in Cincinnati, Ohio. This role is ideal for a senior quality specialist who can lead testing efforts, strengthen test practices, and introduce scalable automation while remaining hands-on with execution. The position requires someone who can work independently, communicate effectively with stakeholders, and drive progress across functional, end-to-end, and data validation activities.

Responsibilities:
Lead quality assurance activities across multiple initiatives, including functional, end-to-end, regression, and data-focused testing efforts.
Design comprehensive test strategies, create detailed test plans and cases, and guide execution to support timely and accurate delivery.
Establish and configure automated testing frameworks, develop reusable test scripts, and expand automation where it improves speed, coverage, and repeatability.
Build and maintain testing dashboards and reporting views that provide clear insight into progress, defects, risks, and overall test cycle health.
Coordinate daily testing activities, prioritize work across concurrent projects, and ensure issues are escalated and resolved in partnership with project leadership.
Perform hands-on validation of data conversions, including reconciliation, exception analysis, and verification of business rules across source and target datasets.
Develop Python-based solutions using pandas to transform raw CSV files, automate validation checks, and produce exception reports, metrics, and audit-ready outputs.
Apply data cleansing, deduplication, and integrity controls to improve data quality, including handling formatting issues, duplicate logic, and file-level inconsistencies.
Collaborate closely with client and internal teams to secure required access, remove blockers, and keep testing moving efficiently to completion.
Follow established quality standards, documentation practices, and artifact retention requirements while supporting both manual and automated testing as needed.

Requirements

Strong experience leading QA activities for enterprise projects, including test planning, execution oversight, and coordination of multiple testing workstreams.
Proven background in both manual and automated testing, with hands-on experience using Selenium for browser-based test automation.
Demonstrated ability to create meaningful QA dashboards and status reporting that communicate test progress, outcomes, and risk clearly to different audiences.
Advanced data validation and conversion experience, including analysis of source-to-target mapping, reconciliation, and exception handling.
Proficiency with Python and pandas to build repeatable scripts for data transformation, validation, and reporting.
Ability to work independently with minimal supervision while remaining highly collaborative, dependable, and proactive in solving problems.
Strong communication and presentation skills, with the ability to adapt messaging for project teams, leadership, and client stakeholders.
Relevant software quality certifications are valued, such as CSQA, CMSQ, CASQ, or comparable QA/testing credentials.

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