About this role:

　　Corporate and Investment Banking (CIB) delivers a comprehensive suite of capital markets, banking, and financial products and services. A trusted partner to our clients, we provide corporate and transactional banking, commercial real estate lending and servicing, investment banking, equity and fixed income solutions including sales, trading, and research capabilities to corporate, commercial real estate, government, and institutional clients across the globe.

　　The role of the Data Management Analyst would be to work with product owners to analyze data, identify data gaps and create requirements. The analyst would be responsible to create data model design changes, provide transformation logics, Develop Data Quality Checks and solutions while working closely with development teams for implementation on the same.

　　In this role, you will:Write Scripts for the Data Quality Checks and Controls Design and conduct moderately complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gapsAdhere to data governance standards and proceduresAnalyze data and identify the data exceptionsIdentify data quality metrics and execute data quality audits to benchmark the state of data qualityDesign and monitor data governance, data quality and metadata policies, standards, tools, processes or procedures to ensure data control and remediation for companywide data management functionsSupport communications with basic documentation related to requirements, design decisions, issue closure, or remediation updatesSupport issue remediation by performing basic to mildly complex data profiling, data or business analysis, and data mapping as part of root cause or impact analysisWork 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 and quality checks Assessing Risks, ensuring mitigations, escalating issues/defects & working with technology partners to research and remediate as neededParticipate in Agile project methodology sessions, including sprint planning and sprint retrospectives.Required Qualifications: University degree in Business / Engineering or related discipline.4+ years of Data Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.2+ years of experience with Abinitio: ETL Abinitio Developer, EME (Enterprise Meta Environment) , Express IT2+ Years of experience in ETL Metadata management2+ Years of experience in SQL, Python , Java , Scripting and AutomationExcellent SQL/Hive skills - queries, joins, data modelling, relational DB conceptsFunctional expertise on banking domain.Excellent verbal, written, and interpersonal communication skillsDesired Qualifications: Experience in working with remote teamsExperience in Data mapping and data profiling will be added advantageSolid experience with MS ExcelExperience and understanding of Agile methodologyPosting End Date:

　　*Job posting may come down early due to volume of applicants.

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　　At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

　　Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

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