Aloden, Inc.
Data Analyst
Aloden, Inc., Richmond, Virginia, United States, 23214
Data Analyst
W2 Candidates
Location: Richmond, VA, (Nearby candidates)
Job Description:
Required Skills:
1. Expertise in SQL
2. Working knowledge of Data Modeling
3. Working knowledge of Any Data quality tools (Informatica DQ, Collibra DQ), and experience in creating data quality rules
Preferred Skills :
1. SQL Server, Oracle (Exadata)
2. Collibra DQ Experience
3. Banking Industry experience
Position Summary
Data Quality Analyst is responsible for ensuring the integrity of data used for business operations and decision-making processes and will analyze, monitor, and improve data quality across various systems and data bases. They will work with business partners to identify and resolve data inconsistencies, errors, and discrepancies. Key responsibilities include:
Working with business partners to understand data quality standards, policies, and procedures to ensure data integrity.
Understand advantages/disadvantages of various data profiling tools and be able to translate those capabilities to business partners.
Collaborate with stakeholders to understand and define data quality requirements and metrics.
Provide training and support to end-user's data quality best practices and tools.
Develop and maintain documentation related to data quality processes.
W2 Candidates
Location: Richmond, VA, (Nearby candidates)
Job Description:
Required Skills:
1. Expertise in SQL
2. Working knowledge of Data Modeling
3. Working knowledge of Any Data quality tools (Informatica DQ, Collibra DQ), and experience in creating data quality rules
Preferred Skills :
1. SQL Server, Oracle (Exadata)
2. Collibra DQ Experience
3. Banking Industry experience
Position Summary
Data Quality Analyst is responsible for ensuring the integrity of data used for business operations and decision-making processes and will analyze, monitor, and improve data quality across various systems and data bases. They will work with business partners to identify and resolve data inconsistencies, errors, and discrepancies. Key responsibilities include:
Working with business partners to understand data quality standards, policies, and procedures to ensure data integrity.
Understand advantages/disadvantages of various data profiling tools and be able to translate those capabilities to business partners.
Collaborate with stakeholders to understand and define data quality requirements and metrics.
Provide training and support to end-user's data quality best practices and tools.
Develop and maintain documentation related to data quality processes.