Data Quality Analyst Mid-Level/Senior

A leading systems company with over 30 years of experience in the IT sector is seeking a Data Quality Analyst - Mid Level /Senior
We want you to be part of this great team!

Working Conditions:
Location: Deerfield Beach, Florida
Work arrangement: 100% on-site
Schedule: Monday through Friday, 9:00 a.m. to 5:00 p.m

What will your responsibilities be?

In this role, you will have the opportunity to:

Analyze large datasets to identify inconsistencies, duplicates, missing values, and anomalies.
Perform data cleansing, standardization, validation, and remediation activities.
Use SQL to query databases, investigate errors, and verify data accuracy and consistency.
Review data from ERP systems and other enterprise applications.
Compare information across multiple systems to identify discrepancies in data flows.
Develop data quality rules, validation criteria, and controls to prevent recurring issues.
Conduct root cause analysis to identify the source of data quality problems.
Document data issues, validation rules, cleansing procedures, and remediation results.
Create reports and metrics to monitor data accuracy, completeness, consistency, and reliability.
Work with business users to understand data definitions and validate corrective actions.
Collaborate with technical teams to resolve data integration, transformation, and migration issues.
Recommend automation opportunities to improve data cleansing and validation processes.
Support continuous improvement, data governance, and process optimization initiatives.

Required Qualifications
Previous experience in data analysis, data cleansing, and data validation.
Strong SQL skills and experience querying relational databases.
Experience working with large datasets.
Ability to identify data inconsistencies, patterns, duplicate records, and anomalies.
Understanding of data structures, system integrations, and data transformation processes.
Experience with data analysis, reporting, or visualization tools.
Familiarity with ERP systems or other enterprise applications.
Ability to document processes, validation criteria, and analysis results.
Advanced written and spoken English proficiency is required.
Bachelors degree in Information Systems, Computer Science, Data Science, Business Administration, or a related field.
Preferred Qualifications
Experience with ETL or data integration tools.
Knowledge of Python or another language used for data analysis and automation.
Experience with data governance, data quality, or master data management practices.
Familiarity with workflow or process automation tools.
Participation in ERP implementation, data migration, or system integration projects.
Experience defining and monitoring data quality metrics and key performance indicators.

We believe that diversity improves our culture and perspectives, which is why we actively promote an inclusive environment where each individual, regardless of their background, gender, orientation or beliefs, is not only welcome, but also essential to our success. We value and respect all voices, and we invite you to join our team, where inclusion is an essential pillar of our values.