Data Quality Technical Analyst

Data Quality Technical Analyst MUST be local to New York City, Hybrid Schedule at least 3 days onsiteSalary Range: $105k to 145kNo Sponsorship AvailableYou 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.ResponsibilitiesAssist in the development and implementation of Data Quality Standards and ProceduresCollaborate across Data Domains, IT, Line of Business and Stakeholders to achieve goalsAnalyze 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 gapsRequired Qualifications, Capabilities, and Skills:8+ years of data quality management experience, including foundational knowledge of best practices and industry standards5+ years of experience with data analysis and data wrangling using tools such as SQL, PythonExperience 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 partnersKnowledge of relational and dimensional modellingKnowledge of data warehouse, operational data store and data mart design conceptsKnowledge of source code management and DevOps platforms such as GitLab or GitHubExperience with project/issue tracking software (JIRA)Experience with data analytic reporting software such as Power BIExperience with Data Catalogs such as Securiti.aiStrong experience in the CIB and/or Financial Services data domain would be advantageous.