Ask IT Consulting Inc. Logo

Ask IT Consulting Inc.

Data Analyst

Posted 3 Days Ago
In-Office
New York, NY, USA
Senior level
In-Office
New York, NY, USA
Senior level
Analyze and profile IBM zVSE Mainframe VSAM files, extract field references from COBOL and application code, create a master data dictionary and source-to-target mappings, support data quality, cleansing, and migration activities, and collaborate with SMEs and IT to remediate data issues.
The summary above was generated by AI
Job Description

Position: Data Analyst.

Duration: 3+ Years

Location: Brooklyn, New York 11201.

REQ ID: 06022017-2DA

PROJECT SCOPE: NYCERS seeks at minimum two (2) Data Analysts to work with the Information Technology (IT) Division for a period up to 36 months. NYCERS reserves the right to hire the candidate(s) as an employee, at no additional cost, after a period of six (6) months The Data Analyst will primarily be responsible for detailed field level analysis, profiling and mapping of the current IBM zVSE Mainframe VSAM files. The Data Analyst will create and maintain the master data dictionary and mapping to NYCERS mission critical applications and inventory of its components.

The Data Analyst must be available to work a minimum of 40 hours per week.

Justification:

The Data Analyst’s role is to create a master Data Dictionary and Source-to-Target mappings for all NYCERS Mainframe fields extant in VSAM files and embedded in COBOL program code. This is critical to establishing the entire universe of Mainframe fields and data currently in use and understanding the nature and purpose of each field for the data profiling/cleansing exercise. NYCERS IT will leverage the Data Dictionary and Source-to-Target mappings in automated processes that retrieve Mainframe data and prepare it for Legacy Replacement initiative and sharing with existing non-mainframe applications.

1. Mandatory Skills: Candidate must meet all the requirements below to be considered for the for this position:

Must have excellent interpersonal, communication, presentation, writing, analytical, problem solving, and information gathering skills along with fundamental technique troubleshooting abilities.

Ability to facilitate sessions and one-on-one meetings with developers and managers, meet deadlines, and work well under pressure.

Minimum of five (5) years of source-to-target data mapping experience in a mixed Mainframe, relational database and object storage environment.

Experience creating data dictionary documentation and data definitions/domains.

Experience mapping/converting VSAM data to SQL databases and object relational databases.

Experience extracting field references and calculated data from COBOL programs.

Understanding of data structures and their relationship to applications.

Ability to work in multiple development environments or systems: IBM Mainframe, Windows Server and SQL Server.

Experience extracting field references from C# and Java application code.

2. Preferred Experience:

Experience with legacy and unstructured data.

Experience with ETL and Data Quality/Profiling tools.

4

Experience extracting business rules from the existing legacy code.

Experience creating automated inventory of mainframe components.

Experience with MS Visual Studio and .NET.

3. Assumptions Regarding Consultant Tasks and Deliverables

The Data Analyst shall provide NYCERS’ Data Management with technical expertise for the completion of Data Quality, Data Profiling and Data Cleansing effort as well as NYCERS’ ongoing process improvement programs. The following deliverables shall apply:

· Participate in identification, inventory, and classification of NYCERS critical data

· Work with data SME’s to document data quality rules and definitions

· Transform business rules into technical specifications to cleanse the data prior to the migration

· Provide technical and analytical support to NYCERS data integrity and quality initiatives

· Collaborate with data 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.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Similar Jobs

2 Days Ago
Remote or Hybrid
US
95K-115K Annually
Junior
95K-115K Annually
Junior
Big Data • Fintech • Information Technology • Insurance • Software
Build and maintain dbt models, write SQL to investigate and validate data, implement data quality checks, document lineage and metrics, resolve production issues (including on-call), and partner with analysts and business teams to deliver production-ready data products using modern warehouse tooling and AI-assisted frameworks.
Top Skills: Ai-Assisted FrameworksBi ToolsClaude CodeCloud Data WarehouseCopilotCursorDbtOrchestrationSQL
2 Days Ago
Hybrid
New York City, NY, USA
70K-110K Annually
Mid level
70K-110K Annually
Mid level
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Support asset-level data intake, validation, and exception triage for private markets. Ensure data quality and standardization, perform trend analysis to inform product and process improvements, coordinate onshore/offshore delivery, document operational logic, and collaborate with Product, Data, and Engineering teams to improve workflows and client reporting.
Top Skills: Data PlatformsExcelSQL
4 Days Ago
In-Office or Remote
New York, NY, USA
143K-258K Annually
Senior level
143K-258K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.
Top Skills: ETLLookerPrefectPythonRSQLTableau

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account