Overview
On Site
Full Time
Skills
3D Computer Graphics
Business Systems
Prototyping
Partnership
Collaboration
Business Rules
Acceptance Testing
Data Quality
Technical Writing
Apache Hadoop
Teradata
Oracle
SQL
Apache Spark
Python
Retail
Banking
Finance
Relational Databases
Big Data
Unstructured Data
Extract
Transform
Load
Apache Oozie
Data Visualization
Tableau
Microsoft Power BI
Microsoft Excel
VBA
Process Flow
Business Analytics
Documentation
Agile
JIRA
Confluence
Git
Communication
Management
Critical Thinking
Business Acumen
LinkedIn
Employment Authorization
Job Details
For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message.
*** Contract position for 12+ months; contract can be extended; contract to hire is possible.
*** The job is on-site with a HYBRID ( 3d office / 2d home ) work schedule. Candidates must be local or willing to relocate within commuting distance of Pittsburgh PA, Cleveland OH ( Strongsville ), Dallas TX ( Farmers Branch ), Phoenix AZ, Birmingham AL
Technical IT Business Systems Analyst :
- Perform in-depth analysis of data within Retail Lending domain
- Write detailed requirements for data solutions and system changes
- Develop code solutions and business logic implementations
- Work with partners to transition prototypes into production environments
- Support one or multiple data domains within the Retail Business
- Drive data needs through partnership with technology teams
- Gather and document requirements for data solutions
- Design and develop nimble data architectures
- Implement business rules into production systems
- Execute User Acceptance Testing (UAT) for data changes
- Participate in data quality processes and controls
- Document data assets and maintain technical documentation
- Complete ad hoc data requests and analyses
Required Qualifications (Skills, Experience, Education, Certifications) :
- Experience with programming on Hadoop, Teradata, and/or Oracle platforms using SQL, Spark, and Python
- Experience in retail lending operations and banking/finance industry
- Experience working with relational databases, big data, unstructured data files, and ETL
- Experience with automation tools such as Oozie, Slurm, Iceberg, or similar platforms
- Experience with data visualization tools (Tableau, Elastic Stack, PowerBI)
- Microsoft Excel / VBA skills
- Ability to create process flows and conduct business analytics
- Experience developing and maintaining both technical and process/procedural documentation
- Good working understanding of Agile framework, Jira, Confluence, and Git repositories
- Strong communication skills with ability to conduct in-depth technical discussions with technology partners while effectively conveying technical concepts to business stakeholders
- Advanced organizational, time management, and critical thinking skills
- Business acumen complemented by a technical skill set
For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message.
#M1
.
*** Contract position for 12+ months; contract can be extended; contract to hire is possible.
*** The job is on-site with a HYBRID ( 3d office / 2d home ) work schedule. Candidates must be local or willing to relocate within commuting distance of Pittsburgh PA, Cleveland OH ( Strongsville ), Dallas TX ( Farmers Branch ), Phoenix AZ, Birmingham AL
Technical IT Business Systems Analyst :
- Perform in-depth analysis of data within Retail Lending domain
- Write detailed requirements for data solutions and system changes
- Develop code solutions and business logic implementations
- Work with partners to transition prototypes into production environments
- Support one or multiple data domains within the Retail Business
- Drive data needs through partnership with technology teams
- Gather and document requirements for data solutions
- Design and develop nimble data architectures
- Implement business rules into production systems
- Execute User Acceptance Testing (UAT) for data changes
- Participate in data quality processes and controls
- Document data assets and maintain technical documentation
- Complete ad hoc data requests and analyses
Required Qualifications (Skills, Experience, Education, Certifications) :
- Experience with programming on Hadoop, Teradata, and/or Oracle platforms using SQL, Spark, and Python
- Experience in retail lending operations and banking/finance industry
- Experience working with relational databases, big data, unstructured data files, and ETL
- Experience with automation tools such as Oozie, Slurm, Iceberg, or similar platforms
- Experience with data visualization tools (Tableau, Elastic Stack, PowerBI)
- Microsoft Excel / VBA skills
- Ability to create process flows and conduct business analytics
- Experience developing and maintaining both technical and process/procedural documentation
- Good working understanding of Agile framework, Jira, Confluence, and Git repositories
- Strong communication skills with ability to conduct in-depth technical discussions with technology partners while effectively conveying technical concepts to business stakeholders
- Advanced organizational, time management, and critical thinking skills
- Business acumen complemented by a technical skill set
For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message.
#M1
.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.