Data Analyst (Pension/Retirement is must)

Hybrid in Brooklyn, NY, US • Posted 1 hour ago • Updated 1 hour ago
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Cobol
  • Mainframe
  • SQL
  • DataStage

Summary

Title: Senior Data Analyst (Cobol, Mainframe, SQL, DataStage)

Position Type: Contract

Location: Brooklyn, NY

Hybrid work

Pension OR Retirement domain experience is a MUST.

Description:

About the Role

The Client seeks one (1) Senior Data Analyst with ETL expertise to work with the Information Technology (IT) Division. The Client reserves the right to hire the candidate(s) as an employee, at no additional cost, after a period of six (6) months.

The Senior Data Analyst will primarily be responsible for detailed field-level analysis, metadata analysis, profiling, and mapping of VSAM files into relational/dimensional SQL tables, as well as conversion/validation efforts as part of an enterprise-wide Legacy Replacement program.

The Senior Data Analyst must be available to work a minimum of 40 hours per week and will be subject to onsite and/or remote work in accordance with Client policies in effect for the duration of the project.

Mandatory Skills/Experience

1. Experience Mandatory

•            Minimum of five (5) years of source-to-target data mapping experience in 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.

2. Technical Ability Mandatory

•            Strong SQL knowledge working with complex queries and stored procedures.

•            Proficiency in SSRS report 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 troubleshooting abilities.

3. Assumptions Regarding Consultant Tasks and Deliverables

The Senior Data Analyst shall provide the Client's Data Management team with technical expertise for the completion of Data Profiling/Cleansing, Conversion/Migration, and Validation efforts as part of the Legacy Replacement initiative, as well as ongoing process improvement programs.

The following deliverables shall apply:

•            Participate in identification, inventory, and classification of critical data.

•            Work with data SMEs to document data quality rules and definitions.

•            Actively participate in optimization and performance tuning of existing ETL and SQL processes.

•            Extract business rules from existing Legacy code and create Source-to-Target mappings.

•            Transform business rules and data quality rules into ETL and/or SQL technical specifications.

•            Develop complex SQL data validations based on STTMs and target Data Models.

•            Provide technical and analytical support to data integrity and quality initiatives.

•            Collaborate with SMEs 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.

•            Defect handling and problem resolution.

Desirable Skills/Experience

•            Experience extracting business rules from 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 a New York State or New York City pension system.

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.
  • Dice Id: 10186340
  • Position Id: 9103592
  • Posted 1 hour ago
Contact the job poster
SR

Sathyendra Rachuri

Recruiter @ InfoPeople Corp
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