Etl Tester / Data Quality Analyst//Local To Mi Only

CANDIDATES WITHIN COMMUTING DISTANCE OF ANN ARBOR ONLY AT THIS TIME.

The Data Quality Analyst is accountable for the design and operational execution of the Enterprise Information Service Data Quality framework, as well as well as coordination across all technical resources throughout the lifecycle of information investigation and data management. Secondary responsibilities include creation and maintenance of various types of documents, quality assurance testing support and assisting in delivery activities.

General Responsibilities

• Regularly review and interprets QA results and findings with limited support from senior leadership.
• Act as translator between business and technical community interpreting data domain needs and translating them into more technical quality assessment rules for developers (and vice-versa).
• Agile testing knowledge is a plus.
• Candidate will be involved in both SQL data investigation and manual testing across multiple scrum teams
• Develop, documents and implements data quality standards for Enterprise Information Services platform.
• Business process analysis and data modeling.
• Participation in architecting the logical design of data quality practices with the technical team, including DQ screen design and specifications, data modeling, and documentation of logical processing flows.
• Leads data quality analysis to support Enterprise Information ServicesData Warehouse projects.
• Work closely with Business Analysts, Data Analysts/Scientists, Development, and Product Owners to ensure data housed in multiple source systems is valid and accurate. Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time.
• Leads design and implementation of data quality screen strategies and protocols used in QA processes; ensures the full application of all relevant QA protocols, processes and procedures across the Enterprise Information Services technology stack.
• Uses out-of-the-box ingenuity in applying analytical techniques and organizational skills to identifying and evaluating alternatives and to developing recommended approaches to resolving quality assurance issues and problems.

Qualifications

• Work Environment for role - hybrid. Need to be available for moments which matter, customer meetings, project launch, production issues, major rollout
• Ability to create systematic and manual data quality operations procedures in both technical and user-friendly language.
• Excellent organization and management skills.
• Demonstrated effectiveness in a fast-paced rapidly changing environment.
• Extensive knowledge of industry standard development methodologies
• 6-9 month term
• Experience with business and technical requirements analysis, data modeling/mapping, and quality assurance frameworks.
• Strong oral and written communications skills.
• Bachelor's degree with at least five to eight years related experience or equivalent combination of education and experience (systems consulting experience desired).
• Strong facilitation skills.
• Target Start Date - 9/15/2023
• At least three years' experience in large scale system implementation efforts following a standard software development lifecycle approach (scrum desired).