QA Analyst

About The CompanyMcKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.About The RoleCoverMyMeds is seeking a Senior Data Quality Analyst to build and mature a comprehensive data quality capability from the ground up. As a key member of our data team, you will work closely with Data Domain Officers, business stakeholders, data engineers, and contractors to develop and implement standards, processes, and tools that ensure the highest quality of data across our platforms and business lines. This role offers a highly visible opportunity for a collaborative, innovative, and self-driven professional who is comfortable navigating ambiguity and translating complex data quality needs into scalable solutions.The Senior Data Quality Analyst will be instrumental in designing frameworks, establishing observability capabilities, and operationalizing data quality rules that support our strategic objectives. You will serve as a subject matter expert, guiding the organization in best practices and ensuring compliance with regulatory standards, all while fostering a culture of continuous improvement and data integrity.QualificationsCandidates should possess a Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field. A Master's degree or equivalent experience is preferred. Typically, a minimum of 7+ years of experience in data quality, data observability, data engineering, or data governance is required, with proven experience in building data quality capabilities within large, complex organizations.Strong expertise in designing data quality frameworks, implementing observability tooling, and integrating quality checks into data pipelines is essential. Proficiency in SQL and at least one scripting language such as Python is necessary for automating checks and managing data workflows. Familiarity with data catalog and lineage tools like Collibra, Informatica, Alation, or Monte Carlo will be advantageous.ResponsibilitiesDesign and establish an enterprise-wide data quality framework, including defining dimensions, scoring methodologies, thresholds, and escalation procedures to ensure consistent measurement across domains.Implement data observability capabilities such as data freshness, volume, schema drift, and anomaly detection across priority datasets and pipelines to proactively surface quality issues.Define, operationalize, and maintain data quality rules and checks for critical data elements, collaborating with data owners and stewards to encode business logic into testable standards.Develop and maintain reusable data quality service components, including rule libraries, dashboards, and alerting systems that can be leveraged by downstream teams.Conduct comprehensive data quality assessments, identify root causes of issues, and coordinate remediation efforts with relevant stakeholders to resolve problems efficiently.Evaluate, select, and administer data quality and observability tools such as Collibra, Informatica, Monte Carlo, and Great Expectations as part of the broader data governance ecosystem.Establish and monitor data quality SLAs/SLOs with data owners and platform teams, providing regular reports on KPIs like data accuracy, completeness, timeliness, and incident resolution times.Collaborate with legal, compliance, and privacy teams to ensure data quality controls align with regulatory requirements such as HIPAA, GDPR, and CCPA, without duplicating existing governance processes.Provide training and support to data stewards and business users on data quality frameworks, tooling, and observability signals to foster a data-driven culture.Act as a trusted advisor on data quality best practices, guiding the design of systems and pipelines to incorporate quality measures from inception.Proactively identify systemic data quality risks and gaps, escalating issues and recommending improvements to leadership to enhance overall data health.BenefitsMcKesson offers a competitive compensation package as part of our Total Rewards program, which includes base salary, annual bonuses, and long-term incentives based on performance and experience. Our benefits package encompasses comprehensive health insurance, retirement plans, paid time off, and wellness programs designed to support your overall well-being. We also provide opportunities for professional development and continuous learning to help you grow your skills and advance your career within a dynamic organization.Our commitment extends to fostering an inclusive environment where diversity is valued, and every employee has the opportunity to thrive. We prioritize work-life balance and provide resources to support your personal and professional growth.Equal OpportunityMcKesson is an Equal Opportunity Employer. We are committed to providing a work environment that is free from discrimination and harassment. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We welcome applications from all qualified candidates and are dedicated to fostering a diverse and inclusive workplace.If you require a reasonable accommodation during the application process, please contact us by email. Resumes or CVs sent to this email will not be accepted