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Meta Data Jobs in New York (NOW HIRING)

JPMorgan Chase & Co.

Data Management Lead

Jersey City, NJ · On-site

$133K - $205K/yr

Identify opportunities to intersect with other Data Management functions to improve meta data and consistency of definitions * Build strong partnerships across Payments and Corporate Functions to ...

J.P. Morgan

Data Management Lead

Jersey City, NJ · On-site

Identify opportunities to intersect with other Data Management functions to improve meta data and consistency of definitions * Build strong partnerships across Payments and Corporate Functions to ...

JP Morgan Chase

Data Management Lead

Jersey City, NJ · On-site

Identify opportunities to intersect with other Data Management functions to improve meta data and consistency of definitions * Build strong partnerships across Payments and Corporate Functions to ...

HSSSoft

MicroStrategy Developer

Edison, NJ · On-site

Good conceptual knowledge and working experience on meta data creation, creating report specifications, integration test planning & testing, unit test planning & testing, UAT & implementation support

Pyramid IT

Data Modeler - Short term contract

New York, NY · On-site

$60 - $77.75/hr

Developed mapping spreadsheets for (ETL) team with source to target data mapping with physical naming standards, data types, volumetric, domain definitions, and corporate meta-data definitions.

HSSSoft

MSTR Lead

Warren, NJ · On-site

... meta data creation, creating report specifications, integration test planning & testing, unit test planning & testing, UAT & implementation support 3. Strong knowledge of quality processes (SDLC ...

HSSSoft

MSTR Architect or Admin

Warren, NJ · On-site

... meta data creation (framework models/universe etc), creating report specifications, integration test planning & testing, unit test planning & testing, UAT & implementation support Strong knowledge of ...

2020 Companies

Meta Sales Specialist

Paramus, NJ · On-site

$23/hr

Partial mobile data plan reimbursement * Opportunities for continued program work and advancement ... Become a Meta Master: Dive into the world of Meta's exciting products - AR/VR headsets, accessories ...

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Meta Data information

What is a metadata professional?

Metadata professionals are individuals who specialize in creating, managing, and maintaining metadata, which is data that describes other data. Their work is essential in organizing, categorizing, and making information easily discoverable in digital environments such as libraries, archives, and databases. They often develop metadata standards, ensure data consistency, and support data interoperability across systems. Metadata professionals play a crucial role in information management, digital asset management, and supporting data-driven decision-making.

What are the key skills and qualifications needed to thrive as a metadata specialist, and why are they important?

To thrive as a Metadata Specialist, you need a strong understanding of information organization, data management principles, and often a background in library science, information science, or a related field. Familiarity with metadata standards (such as Dublin Core, MARC), cataloging tools, and database management systems is typically required. Attention to detail, analytical thinking, and effective communication are essential soft skills for ensuring metadata accuracy and collaborating across teams. These skills ensure that digital assets are easily discoverable, consistently managed, and accessible, supporting efficient data retrieval and organizational workflow.

What are some common challenges faced by professionals working in metadata management roles?

Metadata professionals often encounter challenges such as ensuring data consistency across multiple systems, maintaining metadata quality as data sources grow, and establishing clear data governance policies. Collaboration with IT, data stewards, and business users is essential to accurately capture and update metadata definitions. Overcoming these hurdles typically requires strong communication skills, attention to detail, and ongoing training in metadata standards and tools.

What is the difference between Meta Data vs Data Analyst?

AspectMeta DataData Analyst
Required CredentialsTypically a degree in information science, library science, or related fieldsUsually a degree in statistics, mathematics, or business analytics
Work EnvironmentData management teams, information systems, digital librariesBusiness, finance, marketing departments, often in office settings
Employer & Industry UsageUsed in data cataloging, database management, digital asset managementUsed in data interpretation, reporting, decision-making across industries

Meta Data focuses on describing and managing data itself, ensuring data is organized and accessible. Data Analysts interpret and analyze data to provide insights for business decisions. While Meta Data helps organize data assets, Data Analysts utilize that data to generate meaningful reports and strategies.

Meta Data jobs near you
Infographic showing various Meta Data job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Business Analyst - Finance Data & Architecture

Brains Workgroup, Inc.

Manhattan, NY • On-site, Remote

$65 - $70/hr

Full-time

Posted 27 days ago

Job description

Our client, a major bank in New York City, is looking for Senior Business Analyst – Finance Data & Architecture

6 months initial contract with possibility for extensions and option to hire.
100% Remote Position.

** Must be authorized to work for ANY employer in US   - NO H1 Visa support for this role

Rate: $65-70/h on W2, possible C2C as well.

Senior Business Analyst – Finance Data & Architecture
Overview

Our client seeking an experienced Business Analyst to join the Data Warehouse Analysis & Design team. This role bridges Finance, Business, and Technology teams to support enterprise data initiatives, data architecture, and financial reporting solutions. The ideal candidate combines deep accounting and banking domain expertise with strong data analysis and technical skills.

Key Responsibilities

  • Gather, analyze, and document business, data, and reporting requirements.

  • Translate requirements into data mappings, functional specifications, and design artifacts.

  • Analyze end-to-end financial data flows from source systems through subledgers and General Ledger platforms.

  • Create and maintain source-to-target mappings, data lineage, and logical data models.

  • Partner with Finance, Product Control, Treasury, Risk, Operations, and Technology teams.

  • Support data warehouse, reporting, governance, and modernization initiatives.

  • Perform data analysis, reconciliation, impact assessments, and root-cause investigations.

Required Qualifications

  • 7+ years of Business Analysis, Data Analysis, or Financial Systems experience in Banking.

  • Deep knowledge of:

    • General Ledger (GL)

    • Journal processing and accounting events

    • Subledger architectures

    • Balance Sheet and P&L reporting

    • Financial data flows and reconciliation processes

  • Strong understanding of banking products and operations, with deep expertise in one or more areas:

    • Commercial Lending

    • Syndicated Lending

    • Treasury

    • Repo / Securities Financing

    • Fixed Income

    • Derivatives

    • Deposits / Payments

  • Strong SQL skills and experience analyzing complex enterprise data models.

  • Experience documenting requirements, data mappings, and business processes.

Preferred Qualifications

  • SAP Finance / SAP General Ledger experience.

  • Snowflake experience.

  • Databricks experience.

  • Data warehouse and data lake architecture experience.

  • Data Mesh and data governance experience.

  • Familiarity with metadata management, data lineage, and data quality frameworks.

  • Experience working in Agile environments and with JIRA.

Ideal Candidate
A business analyst who can comfortably discuss accounting events with Finance teams, trace transactions through subledgers and the General Ledger, analyze complex banking data flows, and collaborate with architects and engineers to design scalable enterprise data solutions. Strong banking domain knowledge is more important than any specific technology platform.
 


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Use this link to apply directly:
https://brainsworkgroup.catsone.com/careers/index.php?m=portal&a=details&jobOrderID=16841157
Or email: igork@brainsworkgroup.com
Check ALL our Jobs: http://brainsworkgroup.catsone.com/careers
 Keywords: Business Analysis, Databricks, SAP, SQL, SnowFlake, Data Warehouse, Data Governance, Meta-data Management