Overview
On Site
Full Time
Skills
EDIS
Reporting
Analytics
Supply Chain Management
DSC
Mentorship
Training
Continuous Improvement
Performance Tuning
Technical Writing
Risk Management
Data Analysis
Military
Google Cloud Platform
Google Cloud
Business Data
Data Quality
Communication
Agile
JIRA
Confluence
Attention To Detail
AML
Fraud
Finance
Ab Initio
Extract
Transform
Load
Data Mapping
Meta-data Management
Management
Business Rules
SQL
Mapping
Data Architecture
Job Details
Senior Data Analyst
Job Brief: Join the Fraud/AML squad as Senior Data Analyst within Enterprise Data and Information Services (EDIS)! Be part of a team that is focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions. The Senior Data Analyst will be responsible for data mapping, required to deliver vital information to the consumer population for multiple data assets.
Essential Job Functions:
Owns the attribution mapping details for data elements from the source systems to the target Fraud, AML and various marts within data supply chain (DSC)
Independently translates business requirements to detailed mapping documents, develops and unit tests datasets building maintainable code to accelerate delivery through reusability, and performs peer code reviews Embraces mentorship and provides training for less experienced business and data analysts
Provides continuous improvement ideas to reduce expenses, improve efficiency, and elevate quality
Assesses the technical viability of new and emerging data solutions providing design guidance, technical recommendations, performance optimization, and development insights
Contributes to technical documentation, specifications, and project artifacts for developing data solutions
Adheres to and identifies standards and best practices to be extended beyond the Fraud/AML Squad
Provide input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL
Create and enhance context diagrams for data solutions to maintain auditability.
Provide all the business rules, transformation logic, derived column expressions, SQL, etc. to build mapping documents
Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions
Knowledge of portfolio planning, project prioritization, and remediation planning activities
Strong knowledge of Risk Management practices associated with Financial Institution or financial data
Required Qualifications:
Education: Master's Degree and 5+ years data analytics experience, Bachelor's Degree and 8+ years data analytics experience, or equivalent military/work experience
3+ years experience in SQL
Experience in Google Cloud Platform, notably Big Query
Extensive experience analyzing and interpreting business data leveraging various techniques including automation for data quality validations
Possess strong written and verbal communication skills
Experience with Agile Methodologies, Jira and Confluence
Attention to detail / quality focused
Able to effectively work multiple priorities simultaneously
Experience in AML, Fraud or Financial Industry, a plus
Experience in AbInitio or ETL tool, a plus
Provide data mapping details on the attributes required including the vital information on how the data from the source system will be transformed and stored in the target source.
Be an influencer with other resources in KTOS including Data Architects, Developers and Enterprise Testers to help drive design, develop, and test based on the requirements given.
Be an influencer with the Line of Business including Business Analysts and Business Subject Matter Experts (SMEs) to make sure business requirements are clear, concise and meet the need of the business.
Leverages metadata to provide insight into source system data.
Understand source systems and apply that knowledge to prepare the detailed mapping of source to target documents for use by Developers.
Lead the work with application system business users and SMEs on finalizing requirements and translate those requirements into technical mapping documents.
Provide status of mapping work to Project Managers and other members of Management and estimate the effort to complete work.
Give input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL.
Understand programming concepts including program design, performance and execution and utilize this information as part of the mapping design process. Give into efficient programming design.
Provide all the business rules, transformation logic, derived column expressions, SQL, etc. to build mapping documents.
Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions
Job Brief: Join the Fraud/AML squad as Senior Data Analyst within Enterprise Data and Information Services (EDIS)! Be part of a team that is focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions. The Senior Data Analyst will be responsible for data mapping, required to deliver vital information to the consumer population for multiple data assets.
Essential Job Functions:
Owns the attribution mapping details for data elements from the source systems to the target Fraud, AML and various marts within data supply chain (DSC)
Independently translates business requirements to detailed mapping documents, develops and unit tests datasets building maintainable code to accelerate delivery through reusability, and performs peer code reviews Embraces mentorship and provides training for less experienced business and data analysts
Provides continuous improvement ideas to reduce expenses, improve efficiency, and elevate quality
Assesses the technical viability of new and emerging data solutions providing design guidance, technical recommendations, performance optimization, and development insights
Contributes to technical documentation, specifications, and project artifacts for developing data solutions
Adheres to and identifies standards and best practices to be extended beyond the Fraud/AML Squad
Provide input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL
Create and enhance context diagrams for data solutions to maintain auditability.
Provide all the business rules, transformation logic, derived column expressions, SQL, etc. to build mapping documents
Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions
Knowledge of portfolio planning, project prioritization, and remediation planning activities
Strong knowledge of Risk Management practices associated with Financial Institution or financial data
Required Qualifications:
Education: Master's Degree and 5+ years data analytics experience, Bachelor's Degree and 8+ years data analytics experience, or equivalent military/work experience
3+ years experience in SQL
Experience in Google Cloud Platform, notably Big Query
Extensive experience analyzing and interpreting business data leveraging various techniques including automation for data quality validations
Possess strong written and verbal communication skills
Experience with Agile Methodologies, Jira and Confluence
Attention to detail / quality focused
Able to effectively work multiple priorities simultaneously
Experience in AML, Fraud or Financial Industry, a plus
Experience in AbInitio or ETL tool, a plus
Provide data mapping details on the attributes required including the vital information on how the data from the source system will be transformed and stored in the target source.
Be an influencer with other resources in KTOS including Data Architects, Developers and Enterprise Testers to help drive design, develop, and test based on the requirements given.
Be an influencer with the Line of Business including Business Analysts and Business Subject Matter Experts (SMEs) to make sure business requirements are clear, concise and meet the need of the business.
Leverages metadata to provide insight into source system data.
Understand source systems and apply that knowledge to prepare the detailed mapping of source to target documents for use by Developers.
Lead the work with application system business users and SMEs on finalizing requirements and translate those requirements into technical mapping documents.
Provide status of mapping work to Project Managers and other members of Management and estimate the effort to complete work.
Give input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL.
Understand programming concepts including program design, performance and execution and utilize this information as part of the mapping design process. Give into efficient programming design.
Provide all the business rules, transformation logic, derived column expressions, SQL, etc. to build mapping documents.
Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions
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