Senior COBOL / Mainframe Analyst

Senior COBOL / Mainframe Analyst

All IT Solutions

United States · Brooklyn, New York

Workplace Type — Hybrid

Employment Type — Contract

We are currently seeking a qualified Senior COBOL / Mainframe Analyst to support this engagement. Please review the complete requirements, work location, employment type, and screening questions before applying. Candidates whose experience closely matches the position will be contacted directly by the AIS recruiting team.

Job Summary

All IT Solutions is seeking a Senior COBOL / Mainframe Analyst to join a client engagement.

Responsibilities

• Senior Data Analyst All IT Solutions United States Workplace Type — Hybrid Employment Type — Contract We are currently seeking a qualified Senior Data Analyst to support this engagement.
• Please review the complete requirements, work location, employment type, and screening questions before applying.
• Candidates whose experience closely matches the position will be contacted directly by the AIS recruiting team
• Our client is hiring a Senior Data Analyst to join its Data Management team.
• In this role, the analyst will lead data profiling, cleansing, conversion, migration, and validation work supporting our client Legacy Replacement initiative, and will contribute to our client' ongoing process improvement efforts
• Brooklyn, New York
• Participate in identification, inventory, and classification of our client critical data
• Work with data SME’s to document data quality rules and definitions
• Develop complex SQL data validations based on STTMs and target Data Models
• Provide technical and analytical support to our client data integrity and quality initiatives
• Collaborate with SME’s and technical leads in identifying and addressing data quality gaps
• Work with IT partners to remediate identified gaps using both manual and automated solutions
• Support processes that proactively detect, correct, and prevent invalid data values

Required Qualifications

• Minimum of five (5) years of source-to-target data mapping experience in a mixed Mainframe and Relational Database environments
• Experience creating data dictionary documentation with business terms, valid values, and definitions
• Experience converting/migrating VSAM data to relational/dimensional SQL distributed databases
• Minimum of three (3) years of recent experience developing applications using IBM DataStage ETL
• Experience extracting field references and calculated data from COBOL programs
• Experience with BMC Control-M workload automation software
• Experience with GIT version control software
• Minimum of three (3) years of recent experience with Pension Administration systems
• Strong SQL knowledge working with complex queries and stored procedures
• Proficiency in SSRS reports’ development
• Strong analytical skills demonstrated by the ability to receive and analyze requirements and propose a suitable solution that adheres to the team’s methodology
• Ability to work in multiple environments: IBM Mainframe, Windows Server, and SQL Server
• Proficiency in mainframe applications encompassing COBOL, CICS and DB2
• Understanding of data structures and their relationship to ETL applications
• Ability to develop complex SQL data validations based on STTMs and target Data Models
• Excellent analytical, problem solving, and information gathering skills along with fundamental technique troubleshooting abilities
• Assumptions Regarding Consultant Tasks and Deliverables
• The following deliverables shall apply
• Actively participate in optimization and performance tuning of existing ETL and SQL processes
• Extract business rules from the existing Legacy code and create Source-to-Target mappings
• Transform business rules and data quality rules into ETL and/or SQL technical specifications
• Defect handling and problem resolution
• Background check and employment verification
• Candidates may be required to interview prior to award
• No more than three (3) resumes per vendor
• Three (3) references are required for each candidate
• This is a hybrid position. In accordance with our client' hybrid work policy, the candidate must be able to work three (3) days per week in our client' Brooklyn office and two (2) days per week remotely. This schedule is subject to change

Preferred Qualifications

• Experience extracting business rules from the existing legacy code
• Experience with Data Quality/Profiling tools
• Experience with Data Warehouses/Data Marts
• Experience with SQL Server Reporting Services (SSRS)
• Prior experience working in a pension system, preferably New York State or New York City pension system
• Our client
• Headquartered in Mount Laurel, New Jersey, our client is a technology and workforce solutions company serving government and commercial organizations throughout the United States. AIS provides IT staffing and staff augmentation, cybersecurity, IT consulting, custom software development, cloud services, data engineering, artificial intelligence, application development, and related technology solutions
• AIS is an NMSDC/EMSDC-certified Minority Business Enterprise and our client of Small Business Services-certified M/WBE. We participate in E-Verify and are committed to maintaining professional, transparent, and compliant hiring practices
• Our client is an equal opportunity employer. Employment decisions are made based on qualifications, merit, performance, and legitimate business requirements without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local law
• Reasonable accommodations are available to qualified applicants with disabilities during the application and interview process
• Our client is a staffing and technology services company and may receive fees or compensation from client organizations for recruiting, staffing, placement, or workforce services. Candidates are never charged an application, recruitment, placement, or interview fee by our client
• Any commercial rates, fees, or staffing arrangements are between our client and its clients and do not require payment from the candidate

ABOUT ALL IT SOLUTIONS LLC

Headquartered in Mount Laurel, New Jersey, All IT Solutions LLC is a technology and workforce solutions company serving government and commercial organizations throughout the United States. AIS provides IT staffing and staff augmentation, cybersecurity, IT consulting, custom software development, cloud services, data engineering, artificial intelligence, application development, and related technology solutions.

AIS is an NMSDC/EMSDC-certified Minority Business Enterprise and an NYC Department of Small Business Services-certified M/WBE. We participate in E-Verify and are committed to maintaining professional, transparent, and compliant hiring practices.

EQUAL EMPLOYMENT OPPORTUNITY

All IT Solutions LLC is an equal opportunity employer. Employment decisions are made based on qualifications, merit, performance, and legitimate business requirements without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.

Reasonable accommodations are available to qualified applicants with disabilities during the application and interview process.

RECRUITMENT NOTICE

All IT Solutions LLC is a staffing and technology services company and may receive fees or compensation from client organizations for recruiting, staffing, placement, or workforce services. Candidates are never charged an application, recruitment, placement, or interview fee by All IT Solutions LLC.

Any commercial rates, fees, or staffing arrangements are between All IT Solutions LLC and its clients and do not require payment from the candidate.

Official recruiting communications will come from an authorized All IT Solutions representative or an @allitsolutions.us email address.

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