Overview
On Site
61.53/hr - 69.33/hr
Full Time
Skills
Research
Attention to detail
Root cause analysis
Data management
Financial services
Data integration
Data Analysis
Data profiling
Data quality
PL/SQL
Agile
Business analysis
Project management
Analytical skill
Problem solving
Decision-making
Business requirements
Data mapping
Meta-data management
Finance
Analytics
Modeling
SQL
Data
Reporting
Extract
transform
load
Mapping
Transformation
Teradata
Training
Military
Communication
Accounting
Reconciliation
Workflow
Planning
Evaluation
Policies
Regulatory Compliance
Collaboration
Job Details
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Data Management Analyst in Summit, NJ (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
What You Will Be Doing
Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
- 6+ years of experience in one or a combination of the following: Data Integration, data analysis, analytics, or modeling.
- 5+ years of SQL experience, Data profiling, Data quality, and Data reporting or Data scorecards.
- 5+ years of ETL mapping, data lineage, Data transformation.
- 5+ years in either Oracle, SQL server or Teradata.
- Experience in implementing data projects in agile methodologies.
- 4+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- Extensive knowledge on data research and analysis.
- Strong analytical skills with high attention to detail and accuracy.
- Excellent verbal, written, and interpersonal communication skills.
- 5+ years of SQL using Oracle, SQL server and Teradata.
- Knowledge and understanding of credit loan processing.
- Good data analysis skills including root cause analysis.
- Outstanding problem solving and decision-making skills.
- Ability to research, compile, and perform complex analysis on Commercial Bank lending data.
- Ability to work effectively, as well as independently, in a team environment.
What You Will Be Doing
- Identify and define business requirements, provide recommendations, data mapping and lineage.
- Identify and recommend sources, perform data assessment and profile of the data from multiple, cross loan accounting sources and commercial bank Lending authorized source.
- Identify and capture business and technical Meta data by working with application business owners and technical teams.
- Prepare and execute data quality rules, perform root cause analysis to improve quality of the data for business consumption.
- Assist with reporting needs related to data quality and reconciliation across multiple applications.
- Automate data integration by eliminating manual creation of the data into Credit Bridge tactical workflow tool.
- Consult on or participate in moderately complex initiatives and deliverables within Data Management and contribute to large-scale planning related to Data Management deliverables.
- Review and analyze moderately complex Data Management challenges that require an in-depth evaluation of variable factors.
- Contribute to the resolution of moderately complex issues and consult with others to meet Data Management deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
- Collaborate with client personnel in Data Management.