| Urgent Requirement || Data Quality Analyst || Auburn Hills, MI (Hybrid) || 6+Months at Auburn Hills, Michigan, USA |
| Email: [email protected] |
| From: Suraj Prashar, Pivotal [email protected] Reply to: [email protected] Hi, Hope you are doing great!! Please find the requirement below, If you find yourself comfortable with the requirement please reply back with your updated resume and I will get back to you or I would really appreciate if you can give me a call back at my contact number (703) 570-8775 * (Ext. 232). Job Title: Data Quality Analyst Location: Auburn Hills, MI (Hybrid) Duration: 6+ Months Interview: Video Visa Type: No H1/CPT Local Or Nearby Only Job Description:- Required Skills Collibra, Informatica, and Snowflake Preferred Skills: Python, R 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) Skills 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 Keywords: rlang Michigan |
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| Thu Mar 21 01:00:00 UTC 2024 |