Job Description -

Data Quality Engineer

Hybrid-Pittsburgh, PA

BNYM

Need local guys only with Linkedin !

They need to have Issue management background

Troubleshooting, understand problem, help stakeholder, Cause analysis journey

Stakeholder management as well

We interface with different stakeholder, different level, knowledge what questions to ask, exposure or knowledge of servicenow would be great, problem issue, would be a plus, for reporting we use doorspot (Monitoring, status and metrics)

Top skills: Issues Management background (Troubleshooting from a data problem, understanding lifecycle of problem statement, what is the problem, what is the root cause, tracing lineage of that issue)

Tooling Working knowledge of ServiceNow, Collibra and CollibraDQ (CDQ) a plus.
Tools - BI PowerBI, Confluence, ServiceNow, Sharepoint for record keeping, some excel, vlookup

• ServiceNow experience and experience with Thought Spot
• Lifecycle of an issue troubleshooting, root cause analysis, etc.
• Collibra DQ is good to have.
• PowerBI and/or Confluence experience are nice to have as well.
• Excel experience is good to have

SQL skills queries (pull data

Issue Management-related role:

Review auto-generated data quality issues and self-identified data issues from line of businesses (e.g., review issues reported, understand problem statement/root cause, perform quality assurance, survey for downstream impact and risk assessment) by coordinating and driving meetings with appropriate Subject Matter Expert.

Partner with Subject Matter Expert and business or technology stakeholders to drive high severity self-identified data issues to remediation.

Have an in-depth understanding of issue management tool (i.e., ServiceNow), business intelligence tool (i.e., ThoughtSpot), and the process (including issue lifecycle) for self-identified data and systematic generated issues to provide support and guidance to end users. Identify and solicit for improvement opportunities.

Perform operational activities to ensure data governance reporting / metrics are up to date.

Prepare power point deck for various data governance working groups/forums (e.g., Cross Data Issue, weekly business office hours) including finalizing agenda and documenting minutes with action items assigned to appropriate owner.

Create, enhance, and implement procedural document and training materials for Data Governance (how to guides, FAQs, rules of the road).

Knowledge about Critical data element, Physical data element, data quality rules/dimensions

Partner with Subject Matter Expert and business or technology stakeholders to drive DQ controls development

Good analytical problem-solving capability

Create Data profiles to review data quality rules requirements

Basic SQL knowledge

Good communication as need to work with Developers, Line of business users and data quality stakeholders