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The Business Analysis Manager, Data Quality is responsible for leading the execution of data quality initiatives that ensure the accuracy, completeness, consistency, and reliability of enterprise reporting and analytics solutions. This role partners closely with data engineering, reporting, business intelligence, and analytics teams to establish data quality standards, monitor data integrity, identify root causes of data issues, and implement sustainable remediation processes. The Business Analysis Manager, Data Quality oversees day-to-day data quality operations, drives governance adherence, and leads a team of analysts and data quality professionals focused on validating data across data warehouses, data lakes, reporting platforms, and analytical solutions. This role serves as a key liaison between technical and business stakeholders to ensure trusted data is available for operational and strategic decision-making.
Job Responsibility
Partner with data engineering, reporting, and business insights teams to validate data accuracy from source systems through report delivery and analytics consumption
Lead data quality monitoring processes, controls, and audits to ensure data integrity across data warehouses, data lakes, and reporting environments
Develop and maintain data quality frameworks, standards, metrics, and scorecards that measure data health and operational effectiveness
Collaborate with cross-functional teams to analyze data requirements and support architecture, design, and implementation efforts that improve data reliability
Investigate, troubleshoot, and resolve data discrepancies, defects, and integration issues through root cause analysis and corrective action plans
Oversee data profiling, validation, reconciliation, and data wrangling activities involving structured and unstructured data sources
Manage data quality workstreams and support project delivery by assisting with planning, prioritization, estimation, and resource allocation
Facilitate workshops, design reviews, and stakeholder meetings to drive alignment on data quality requirements and governance practices
Mentor and develop team members in data quality methodologies, governance standards, and analytical problem-solving techniques
Support management reporting, executive presentations, and status communications regarding data quality performance and improvement initiatives
Ensure compliance with enterprise data governance policies, standards, and regulatory requirements
Perform additional duties and special projects as assigned
Requirements
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Data analysis, data science, similar quantitative fields or equivalent practical experience
4-7 years Working experience solving analytical problems using quantitative approaches
4-7 years Working experience reporting and analyzing performance & dta visualization (Tableau, Power BI, etc.)
4-7 years Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research
Working experience with Python, R, Go or similar statistics or data science language preferred
Telecommunications preferred
Business Acumen
Dashboard Development
Data Analysis
Data Storytelling
Executive Presence
Financial Modeling
People Management
Project Management
Stakeholder Management
Strategic Thinking
Other Business Certification preferred
At least 18 years of age
Legally authorized to work in the United States
Nice to have
Working experience with Python, R, Go or similar statistics or data science language preferred