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.

Duration: 9 Months Contract

W2 with competitive pay and Health Benefits

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 management

3 years experience managing data quality monitoring and remediation processes

Proficiency in data profiling, statistical analysis, data analysis, and data standardization / cleansing techniques

Experience using statistical techniques to discover the root cause of data quality issues and recommend remediation options

Strong SQL skills with the ability to write sophisticated queriers across large, complex data sets

Ability to analyze data trends, identify patterns and proactively address potential data quality issues

Proficient in documenting data quality issues and remediation plans in a clear and concise manner

Experience with Collibra, Informatica, and Snowflake (Python, R is a plus)