Skip to Content

Jobs

Senior Data Analyst

|  Posted On: Jul 29, 2026

location:Brooklyn, NY 11201

Duration:12 Months, Contract

mode of work:On-site

Log In and Apply

Job Summary

Job Title:  
Senior Data Analyst
Posted Date:  
Jul 29, 2026
Duration:  
12 Months, Contract
Shift(s):  

08:00 - 16:45

Salary ($): 
89.46 - 90.31 per Hourly (compensation based on experience and qualifications)
We care about you! Explore Rangam’s benefits information

Talk to our Recruiter

Name:
 
Shyam Khandelwal

Email:
 
shyam@rangam.com

Phone:
 
973-598-3755

Description

This is Hybrid Position. The applicant is expected to work onsite at Brooklyn, NY 11201

Job Description Justification:

The Senior Data Analyst with Data Modeling expertise will primarily be responsible for detailed field-level analysis, metadata analysis and profiling of internal and external sources as well as creation of conceptual, logical physical, and dimensional data models as part of Client ongoing process improvement programs.

Scope of Services:

  • Participate in identification, inventory, and classification of Client critical data.
  • Work with data SME’s to document data quality rules and definitions.
  • 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.
  • Develop complex SQL data validations based on STTMs and target Data Models.
  • Provide technical and analytical support to 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.
  • Defect handling and problem resolution. 

Mandatory Skills/Experience

  • 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.

Technical Ability :

  • 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 technical troubleshooting abilities. 

Desirable Skills/Experience

  • 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.

 

 

 

 

AI-Assisted Application Screening

As part of our recruitment process, we may use automated tools or AI-enabled technologies to assist with resume screening and candidate matching. These tools help our recruitment team review applications more efficiently, but they do not make hiring decisions. All final decisions are made by human reviewers.