Wells Fargo Data Management Analyst 

India, Telangana, Hyderabad 

933024495

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:

• Knowledge and understanding of financial services industry: wealth & investment management, retail brokerage, trust & fiduciary services.
• Knowledge and understanding of Data Models, ERD, Dimensional Models and Metadata.
• Experience using data analysis to identify trends.
• Knowledge and understanding of Metadata.
• Relational database experience.
• Knowledge and understanding of big data (Hadoop) environment.
• Experience delivering Business Intelligence (BI), analytics and reporting using API Services architecture.
• Experience using SQL within a variety of database sources such as Hive, Oracle, SAS, or Teradata.
• Python experience.
• Scripting and automation experience.
• Knowledge and understanding of Data Models, ERD, Dimensional Models and Metadata.
• Knowledge and understanding of data modeling tools, such as Power Designer.

Job Expectations:

• Scope: Build out the WIM Data Catalogue, Taxonomy, Business Glossary & Dictionary starting with key use cases. Build the conceptual & logical data models across WIM & the linkage to the data catalogue.
• Knowledge of finance business & wealth management domain.
• Experience in understanding and contributing to the creation of a data taxonomy & catalogue. Ability to partner with business and technical SME’s.
• Experience of business and metadata semantics, data analysis, data profiling.
• Experience with relational databases and big data (Hadoop, S3) as well as with API’s (JSON, XML).
• Strong knowledge of Analysis Tools – SQL, Python, Scripting.
• Experience with conceptual, logical, and physical data modeling.
• Experience with data modeling and design tools - e.g. Power Designer, Erwin, etc.
• Relational and object modeling skills and knowledge of knowledge Graphs.
• Experience with auto-harvesting metadata and inferring metadata linkages a plus.

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.