Saxon Global
Data Quality Analyst
Saxon Global, Frisco, Texas, United States, 75034
Job Description:
This is not technical - this is someone to work with the business side.
The Data Quality Analyst will support the definition of data quality standards, requirements, and specifications for data quality controls in the data lifecycle. They will also provide support for operational processes that measure, monitor and report on data quality levels as well as the remediation of identified data quality issues.
The person will meet with various stakeholders to gather and document information, perform data analysis, and conduct assessments of business and technical processes involved in managing data.
Responsibilities:
Data Quality Remediation
Collaborate with internal stakeholders to gather information and document identified data quality issues. Perform root cause analysis of identified data quality issues. Collaborate with cross-functional teams to support development and implementation of remediation plans to promptly resolve identified data quality issues.
Data Quality Measurement, Monitoring and Reporting Processes
Define and develop data quality metrics based upon data quality standards. Support the development of automated data quality reports and dashboards. In partnership with Data Stewards, monitor data quality levels and respond to alerts when data quality metrics for critical data elements are outside the acceptable data quality thresholds.
Data Quality
Management Framework
Collaborate with business stakeholders to identify business needs and opportunities for data quality improvement, including identifying data critical to meeting business needs. Perform an assessment of the data to understand data content and relationships and comparing actual data to rules and expectation. Develop standards and templates for documenting data quality rules so they have a consistent format and meaning.
Experience:5 years' experience in data and/or information asset quality management3 years' experience managing data quality monitoring and remediation processesProficiency in data profiling, statistical analysis, data analysis, and data standardization / cleansing techniquesExperience using statistical techniques to discover the root cause of data quality issues and recommend remediation optionsStrong SQL skills with the ability to write sophisticated queriers across large, complex data setsAbility to analyze data trends, identify patterns and proactively address potential data quality issuesProficient in documenting data quality issues and remediation plans in a clear and concise mannerExperience with Collibra, Informatica, and Snowflake (Python, R is a plus)Skills:
Problem solving Issue resolutionDecision-makingAble to synthesize information leading to recommendations of solutionsCommunication across all levels - written and verbalAttention to detail with ability to align with the big pictureMulti-tasking Influencing othersChallenging professionallyRelationship management
This is not technical - this is someone to work with the business side.
The Data Quality Analyst will support the definition of data quality standards, requirements, and specifications for data quality controls in the data lifecycle. They will also provide support for operational processes that measure, monitor and report on data quality levels as well as the remediation of identified data quality issues.
The person will meet with various stakeholders to gather and document information, perform data analysis, and conduct assessments of business and technical processes involved in managing data.
Responsibilities:
Data Quality Remediation
Collaborate with internal stakeholders to gather information and document identified data quality issues. Perform root cause analysis of identified data quality issues. Collaborate with cross-functional teams to support development and implementation of remediation plans to promptly resolve identified data quality issues.
Data Quality Measurement, Monitoring and Reporting Processes
Define and develop data quality metrics based upon data quality standards. Support the development of automated data quality reports and dashboards. In partnership with Data Stewards, monitor data quality levels and respond to alerts when data quality metrics for critical data elements are outside the acceptable data quality thresholds.
Data Quality
Management Framework
Collaborate with business stakeholders to identify business needs and opportunities for data quality improvement, including identifying data critical to meeting business needs. Perform an assessment of the data to understand data content and relationships and comparing actual data to rules and expectation. Develop standards and templates for documenting data quality rules so they have a consistent format and meaning.
Experience:5 years' experience in data and/or information asset quality management3 years' experience managing data quality monitoring and remediation processesProficiency in data profiling, statistical analysis, data analysis, and data standardization / cleansing techniquesExperience using statistical techniques to discover the root cause of data quality issues and recommend remediation optionsStrong SQL skills with the ability to write sophisticated queriers across large, complex data setsAbility to analyze data trends, identify patterns and proactively address potential data quality issuesProficient in documenting data quality issues and remediation plans in a clear and concise mannerExperience with Collibra, Informatica, and Snowflake (Python, R is a plus)Skills:
Problem solving Issue resolutionDecision-makingAble to synthesize information leading to recommendations of solutionsCommunication across all levels - written and verbalAttention to detail with ability to align with the big pictureMulti-tasking Influencing othersChallenging professionallyRelationship management