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Title: Senior Data Management Analyst
Location:
San Leandro, CA
Duration: 6 months
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
Perform default, loss, and prepayment forecasting on credit sensitive positions within the Analytics Portfolio. Participate in company stress testing and capital planning efforts surrounding the securities portfolio and Treasury mortgage portfolio. Advise line of business, companywide functions, and more experienced leadership on business strategies based on research of performance metrics, trends in population distributions, predictive scenario modeling, and other complex data to maximize profits and asset growth, and minimize operating losses within risk and other operating standards. Interpret and translate regulatory defined stress test scenarios into model parameters, evaluate results of stress test results, and interpretation of model output. Provide leadership in the identification and development of new research concepts and designs. Ensure adherence to compliance and legal regulations and policies on all projects managed. Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews. Assist managers and leaders in building quarterly and annual plans and forecast future market research needs for business partners supported. Mentor or manage more less experienced staff, interns, and external contractors. Collaborate and consult with peers, colleagues, and more experienced managers to resolve issues and achieve goals. Lead projects, teams, or serve as a peer mentor.
Responsibilities:
Evaluate the data models of different source systems to the standardize data, ability to design a functional common target model to fit the data and negotiate with SMEs stakeholders to implement consistent processes.
Establishes and follows common terms, business rules, measure definitions, metadata and standardization of master data throughout the CRM systems.
Support the CRMs systems governance and overall data quality management goals
Support with data validation, quality issues, and integrity, perform the analysis, insights and works to resolve impacting issues related to data elements in consistent way.
Create mappings between fields in the different sources/systems for tracking lineage
Lead technical discussion with SMEs about the data issues and agree to a long-term remediation strategy
Responsible for defining, prioritizing, and overseeing delivery of the process and data standardization capabilities required by the business functions.
Responsible for maintenance, administration and support of data elements
Ensures metadata, reference documentation, data files and data flows are accurate and up to date
Support the functional design and implementation, create solutions to meet business objectives and resolve system / process issues
Qualifications:
Full Time
$111k-145k (estimate)
12/06/2023
04/26/2024
wellsfargo.net
San Jose, CA
<25
The following is the career advancement route for Senior Data Analyst positions, which can be used as a reference in future career path planning. As a Senior Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Analyst. You can explore the career advancement for a Senior Data Analyst below and select your interested title to get hiring information.
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Does statistical analysis, explanatory and predictive modeling, data mining.
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They also monitor and oversee the work of less experienced analysts.
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They also work with large sets of data and establish scalable and accurate analytics systems across several applications.
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The Senior Data Analyst additionally develops models and ad hoc reports, sharing observations and recommendations with senior data management, executives, and stakeholders for further consideration.
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Career tips from people on Senior Data Analyst jobs
Systems are then sent to the senior data analytics management for approval and feedback.
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Typically, senior data analysts have a diverse and rich background.
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Learn Data Analytics Fundamentals.
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A good data analyst has a blend of technical and soft skills.
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Candidates with strong academic results will be highly preferred as entry level analysts than their counterparts.
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