INSPYR Solutions
KYC Client Data Analyst
INSPYR Solutions, Los Angeles, California, United States,
Role:
Data AnalystClient:
City National BankLocation:
100% RemoteWebsite:
https://www.cnb.com/Duration:
6+ Month ContractSummary
This position will serve as Subject Matter Expert to validate data, challenge the state of data quality, and continuously drive improvements through better and higher definition data analysis. The Data Governance team's goal is the continuous measurement of data quality, quicken the pace of anomaly detection, and drive data quality improvements at the source resulting in faster cycle times for data remediation.Responsibilities
Create pipelines and processes to import large, complex data sets into cloud (Snowflake) environment.Develop algorithms to transform, compare and analyze data into useful, actionable insights.Identify, design and implement process improvements for faster repeatable reporting process.Develop and implement data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.Develop checks for staging and loading data.Assist with data-related technical issues.Acquire data from various sources and reload updated data into the databases.Participate in central data cleansing activities to accelerate data quality remediation.Participate in data quality improvement initiatives and projects.Attend meetings with various data governance groups and Subject Matter Experts (SME) from Enterprise Risk Management (ERM).Required
Skilled in communicating on complex topics and solutions and must be open to ideas from others.Ability to build and optimize data sets, big data pipelines and architectures.Well versed in SQL, and Snowflake environments. Able to create repeatable data load and ETL processes using Python scripts.Perform root cause analysis on processes and data.Excellent analytic skills working on unstructured datasets.Ability to build processes that support data transformation, workload management, data structures, dependency & metadata.Must have working knowledge of bank processes and controls.Experience working in a formal risk controls environment with strong understanding of scheduled deliverables.Experience with programming, technology, and tooling such as R, Python, SQL, Snowflake, Azure, Git, Informatica IICS, Tableau, Power BI, Business Objects.Emphasis in Regulatory Reporting experience preferred.Ability to understand the business context and regulatory requirements in order to define data quality functional requirements and standards.OCR experience preferred but not required.
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Data AnalystClient:
City National BankLocation:
100% RemoteWebsite:
https://www.cnb.com/Duration:
6+ Month ContractSummary
This position will serve as Subject Matter Expert to validate data, challenge the state of data quality, and continuously drive improvements through better and higher definition data analysis. The Data Governance team's goal is the continuous measurement of data quality, quicken the pace of anomaly detection, and drive data quality improvements at the source resulting in faster cycle times for data remediation.Responsibilities
Create pipelines and processes to import large, complex data sets into cloud (Snowflake) environment.Develop algorithms to transform, compare and analyze data into useful, actionable insights.Identify, design and implement process improvements for faster repeatable reporting process.Develop and implement data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.Develop checks for staging and loading data.Assist with data-related technical issues.Acquire data from various sources and reload updated data into the databases.Participate in central data cleansing activities to accelerate data quality remediation.Participate in data quality improvement initiatives and projects.Attend meetings with various data governance groups and Subject Matter Experts (SME) from Enterprise Risk Management (ERM).Required
Skilled in communicating on complex topics and solutions and must be open to ideas from others.Ability to build and optimize data sets, big data pipelines and architectures.Well versed in SQL, and Snowflake environments. Able to create repeatable data load and ETL processes using Python scripts.Perform root cause analysis on processes and data.Excellent analytic skills working on unstructured datasets.Ability to build processes that support data transformation, workload management, data structures, dependency & metadata.Must have working knowledge of bank processes and controls.Experience working in a formal risk controls environment with strong understanding of scheduled deliverables.Experience with programming, technology, and tooling such as R, Python, SQL, Snowflake, Azure, Git, Informatica IICS, Tableau, Power BI, Business Objects.Emphasis in Regulatory Reporting experience preferred.Ability to understand the business context and regulatory requirements in order to define data quality functional requirements and standards.OCR experience preferred but not required.
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