Data Quality Analyst
Role: Data Quality Analyst
Location: 2 days onsite in Auburn Hills, MI
Duration: 10 months
Work auth: USC/GC or EADs
LinkedIn: Must have
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
Problem solving Issue resolution Decision-making Able to synthesize information leading to recommendations of solutions Communication across all levels – written and verbal Attention to detail with ability to align with the big picture Multi-tasking Influencing others Challenging professionally Relationship management
Comparison Summary
Aspect
Data Analyst
Data Quality Analyst
Primary Focus
Extracting insights from data
Ensuring data accuracy, completeness, and consistency
Key Responsibilities
Analyzing data, creating visualizations, reporting
Data profiling, cleansing, auditing, governance
Skills Required
Statistical analysis, data manipulation, visualization
Data profiling, cleansing tools, data governance
Tools
SQL, Excel, Python, R, Tableau, Power BI
Talend, Informatica Data Quality, data profiling tools
Outcome
Business insights and decision support
High-quality, reliable data for all users
Please only submit DATA QUALITY ANALYST, not DATA ANALYSTs.
Location: 2 days onsite in Auburn Hills, MI
Duration: 10 months
Work auth: USC/GC or EADs
LinkedIn: Must have
- Candidate must be 8 + YEARS with Banking and Financial experience, must have data asset quality management 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
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 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)
Problem solving Issue resolution Decision-making Able to synthesize information leading to recommendations of solutions Communication across all levels – written and verbal Attention to detail with ability to align with the big picture Multi-tasking Influencing others Challenging professionally Relationship management
Comparison Summary
Aspect
Data Analyst
Data Quality Analyst
Primary Focus
Extracting insights from data
Ensuring data accuracy, completeness, and consistency
Key Responsibilities
Analyzing data, creating visualizations, reporting
Data profiling, cleansing, auditing, governance
Skills Required
Statistical analysis, data manipulation, visualization
Data profiling, cleansing tools, data governance
Tools
SQL, Excel, Python, R, Tableau, Power BI
Talend, Informatica Data Quality, data profiling tools
Outcome
Business insights and decision support
High-quality, reliable data for all users
Please only submit DATA QUALITY ANALYST, not DATA ANALYSTs.
-
Seniority level
Associate -
Employment type
Contract -
Job function
Information Technology -
Industries
Staffing and Recruiting
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