Job Description

Data Quality Technical Analyst

MUST be local to New York City, Hybrid Schedule at least 3 days onsite

Salary Range: $105k to 145k

No Sponsorship Available

You will be a key team member in supporting initiatives to improve the ongoing operation of the data management program such as policies, standards and execution related to data quality monitoring, data attestation, reporting, and issue remediation to promote comprehensive, consistent, accurate and timely data across the enterprise. It will require you to develop relationships with counterparts within the team including data quality engineers and across Business and Functional units.

You will be required to lead reviews of data quality requirements, providing directions to the data quality engineers to produce a high quality of work product. The candidate should also be able to work hands-on using existing tools to meet deliverables as needed. An initial focus will be on critical reporting use cases but this is expected to expand beyond regulatory pressures in 2025 and beyond.

Responsibilities

• Assist in the development and implementation of Data Quality Standards and Procedures
• Collaborate across Data Domains, IT, Line of Business and Stakeholders to achieve goals
• Analyze data quality requirements and conduct data profiling. Implement data quality rules and configure data observability.
• Maintain knowledge of technology/tooling to support data quality management, and provide input into requirements for future tooling
• Conduct complex analysis to identify and remediate data quality issues and/or control gaps

Required Qualifications, Capabilities, and Skills:

• 8+ years of data quality management experience, including foundational knowledge of best practices and industry standards
• 5+ years of experience with data analysis and data wrangling using tools such as SQL, Python
• Experience with enterprise data quality and observability tools like Anomalo, Monte Carlo etc.
• Knowledge of control and risk management concepts with the ability to evaluate controls, create procedure and process flows in conjunction with business and control partners
• Knowledge of relational and dimensional modelling
• Knowledge of data warehouse, operational data store and data mart design concepts
• Knowledge of source code management and DevOps platforms such as GitLab or GitHub
• Experience with project/issue tracking software (JIRA)
• Experience with data analytic reporting software such as Power BI
• Experience with Data Catalogs such as Securiti.ai
• Strong experience in the CIB and/or Financial Services data domain would be advantageous.

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