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Wells Fargo
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Data Management Analyst

Data Management Analyst

Wells Fargo

2 - 7 years

8 - 13 Lacs

hyderabad

Posted:4 days ago| Platform:

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Skills Required

data management aml python project management data analysis business processes power bi business analysis root cause analysis sql analytics data quality tableau quality assurance data governance data visualization

Work Mode

Work from Office

Job Type

Full Time

Job Description

About this role:

Wells Fargo is seeking a Data Management Analyst

In this role, you will:

Participate in less complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
Adhere to data governance standards and procedures
Identify data quality metrics and execute data quality audits to benchmark the state of data quality
Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions
Support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates
Support issue remediation by performing medium risk data profiling, data or business analysis, and data mapping as part of root cause or impact analysis
Provide support to regulatory analysis and reporting requirements
Recommend plans for the development and implementation of initiatives that assess the quality of new data sources
Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls
Consult with clients to assess the current state of data quality within area of assigned responsibility

Required Qualifications:

2+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

Experience in BSA-AML regulatory requirements and industry practices
Highly proficient in Excel, PowerPoint, data visualization and reporting
Proficient in data analysis and tools Tableau and Power BI
Experience in Data Quality Assurance and data governance.
Technical skills in python, SQL and other data analysis tools will be a plus bit not mandatory
Strong analytical thinking, problem-solving, and program management skills

Job Expectations:

Demonstrated experience in Financial Crimes (BSA-AML, Sanctions, Anti-Bribery/Corruption) through work experience, training, military service, or education
Develop metric-based reporting for all applicable program areas and publish monthly, quarterly, and annual reports to management
Execute data quality audits and track key data quality metrics to benchmark and improve data integrity
Perform data analysis to support issue remediation and root cause analysis
Ensure organizational adherence to data governance standards, policies, and procedures across the enterprise
Collaborate with regulatory teams to support regulatory analysis and reporting requirements
Recommend and implement initiatives to assess the quality of new data sources
Work with business and technology teams to document and maintain business and technical metadata related to systems, processes, and data elements
Identify data quality metrics and execute audits to benchmark the state of data quality
Support issue remediation by performing data profiling, business analysis, and data mapping for root cause or impact analysis
Participate in analysis to identify and remediate data quality or integrity issues and process/control gaps
Consult with business partners to assess the current state of BSA-AML-related data quality within assigned areas
Design and monitor data governance, data quality, and metadata policies, standards, tools, and processes to ensure data control and remediation for companywide data management functions
Support communications with documentation related to requirements, design decisions, issue closure, and remediation updates

Work with business and technology partners or subject matter experts to maintain metadata about systems, business processes, data elements, and data-related controls

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