<p>Piper Companies is seeking a Data Quality Analyst to support critical data quality initiatives within the organization's Data Quality team. This role is central to ensuring the accuracy, reliability, and operational excellence of enterprise data, supporting both daily operations and long-term risk reduction efforts across the firm.</p> <p>Responsibilities of the Data Analyst Include:</p> <ul> <li>Monitor and address data quality issues, collaborating with stakeholders and tracking resolution progress. </li><li>Investigate and resolve root causes across data pipelines and systems, documenting corrective actions. </li><li>Design, implement, and maintain data quality controls, validation processes, and dashboards. </li><li>Perform regular data audits to ensure accuracy, integrity, and compliance across platforms. </li><li>Convert business requirements into actionable insights using SQL, Python, and BI tools. </li></ul> <p>Qualifications for the Data Analyst Include:</p> <ul> <li>Minimum of 3 years' experience in data management, data quality, or data operations roles. </li><li>Skilled in SQL with hands-on experience designing dashboards in Tableau. </li><li>Experienced in creating data validation rules, exception handling workflows, and quality controls. </li><li>Solid understanding of the full data lifecycle, including pipelines, ingestion processes, and system dependencies. </li><li>Strong written and verbal communication skills with experience developing documentation, SOPs, and operational playbooks. </li><li>Bachelor's degree in Information Systems, Data Management, Business Analytics, or a related discipline </li></ul> <p>Compensation for the Data Analyst Includes:</p> <ul> <li>Targeted Salary Range: $85,000 - $115,000 annually <em>depending on experience and qualifications</em> </li><li>Comprehensive benefits package including Medical, Dental, Vision, 401K, PTO, and additional company-sponsored benefits. </li></ul> <p>Keywords: Data Quality Analyst, data quality, data management, data operations, data governance, data pipelines, data validation, data audits, data integrity, SQL, Python, Tableau, dashboards, BI tools, root-cause analysis, exception workflows, quality controls, data lifecycle, ingestion processes, system dependencies, stakeholder collaboration, documentation, SOPs, operational playbooks, enterprise data, operational excellence, risk reduction, business insights, data analysis, reporting</p> <p>This position opens for applications on 03/13/2026. Applications will be accepted for at least 30 days from the posting date.</p> <p>#LI-CM1 #LI-ONSITE</p>