Chief Data Office-Data Quality and Analytics Associate

Bank of China Limited, New York Branch•New York, NY

1d•$42,000 - $90,000

About The Position

The Data Quality and Analytics Associate is responsible for end-to-end measurement, monitoring, and metrics reporting for certified Critical Data Elements (CDEs) across enterprise data domains, following the bank’s data management framework. The role collaborates with business data stewards, technology teams, and governance teams to analyze the root causes of data quality issues, identify solutions, and manage remediation. It also performs data quality testing and assurance for IT system development and enhancement projects, and supports business departments with data analytics and ad hoc data inquiries. The position develops and maintains data quality validation rules and monitoring logic using SQL and Python; profiles data and analyzes trends across internal systems and databases; enhances automated business-as-usual data quality processes; and builds dashboards and scorecards to show data health metrics and key risk indicators. It coordinates remediation activities, reports enterprise data quality status to governance groups, supports analytics requirements and dashboards—including automated ETL/ELT pipelines and analytical data layers—and assists with data dictionary maintenance, data ownership, metadata, definitions, and lineage.

Requirements

Bachelor of Arts or Bachelor of Science degree required.
At least 1 year of experience in data analysis, SQL, and BI tools such as Power BI, Tableau, or Qlik Sense.
Solid knowledge and experience in SQL, data analysis, and data visualization.

Nice To Haves

MBA or MS degree preferred.

Responsibilities

Develop and maintain SQL- and Python-based data quality validation rules and monitoring logic for Critical Data Elements, assessing timeliness, completeness, accuracy, and consistency.
Perform data profiling and trend analysis across internal systems and databases to identify anomalies, inconsistencies, and potential data quality issues.
Execute and enhance the automated data quality business-as-usual process.
Design and enhance data quality dashboards and scorecards using BI tools to provide visibility into data health metrics and data quality key risk indicators.
Perform data validation, data quality testing, and assurance for IT system development and enhancement projects.
Conduct root cause analysis of identified data quality issues and identify remediation solutions.
Coordinate and plan remediation activities with the Data Governance Team, technology teams, business data stewards, and stakeholders to resolve data defects in a timely manner.
Report enterprise data quality status and key risk indicators to the Data Governance Working Group and Data Governance Committee.
Help business departments formulate data analytics requirements and design appropriate solutions.
Build and maintain business analytics dashboards, including automated ETL/ELT pipelines and analytical data layers, to improve operational and reporting efficiency and support data-driven decisions.
Support business departments with ad hoc data inquiries.
Assist Data Governance with maintaining the Data Dictionary and enforcing data ownership and accountability.
Document metadata, data definitions, and data lineage to support transparency between source systems and reporting layers.