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Internship Data Mapping Analyst Jobs (NOW HIRING)

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Mapping Analyst

Las Vegas, NV · On-site

The Mapping Analyst will provide support to the Market Entry Map Operations team by collecting infrastructure data and analyzing road features and work closely with product and engineering teams to ...

Neotecra

Data Mapping GIS analyst

New York, NY · On-site

This role requires strong analytical skills, experience with data validation, mapping tools, and the ability to investigate and resolve data discrepancies. Responsibilities: * Validate and reconcile ...

Neotecra, Inc.

Data Mapping GIS analyst

Manhattan, NY · On-site

This role requires strong analytical skills, experience with data validation, mapping tools, and the ability to investigate and resolve data discrepancies. Responsibilities: Validate and reconcile ...

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

We are seeking a detail-oriented Data Analyst with strong experience in data mapping, data analysis, and data transformation . The ideal candidate will work closely with business stakeholders, data ...

Ask IT consulting

Data Analyst

Chicago, IL

Collaborate with ETL Architects and created the DMD (Data Mapping Document) to specify the data mapping from various data base sources to the target database. * Conduct data analysis, data profiling ...

Conch Technologies Inc

Data Analyst

Phoenix, AZ · On-site

Mapping logic and dependencies Data Analysis & Validation * Accessing data and running SQL queries for analysis * Performing data profiling and quality checks * Example challenges: * Identifying ...

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How much do internship data mapping analyst jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for internship data mapping analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Mapping Analyst, and why are they important?

To thrive as an Internship Data Mapping Analyst, you need a solid understanding of data analysis, attention to detail, and familiarity with database concepts, often supported by coursework in computer science, statistics, or information systems. Proficiency in tools such as Microsoft Excel, SQL, and data visualization platforms is typically required, and familiarity with ETL (Extract, Transform, Load) processes is beneficial. Strong problem-solving skills, effective communication, and the ability to collaborate in team settings help distinguish top candidates. These skills are essential for accurately mapping data between systems, ensuring data integrity, and supporting effective decision-making within organizations.

What is the difference between Internship Data Mapping Analyst vs Data Analyst?

AspectInternship Data Mapping AnalystData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent analysis
Employer & Industry UsageInternship programs in tech, finance, healthcareVarious industries including finance, marketing, healthcare

The Internship Data Mapping Analyst role is an entry-level position focused on learning data mapping processes under supervision, often as part of an internship program. In contrast, a Data Analyst is a full-time professional responsible for analyzing data, creating reports, and providing insights. While both roles involve working with data, the internship is more educational and supervised, whereas the Data Analyst role requires more experience and independence.

What types of data projects can an Internship Data Mapping Analyst expect to work on, and how do these projects contribute to the team's goals?

As an Internship Data Mapping Analyst, you’ll typically support projects involving the integration, transformation, and organization of data from various sources. These projects may include mapping legacy data to new systems, standardizing data formats, or assisting in quality assurance checks. Your work directly enables the team to improve data accuracy and streamline business processes, often collaborating closely with data engineers, business analysts, and IT specialists. This hands-on experience provides valuable insights into data governance and prepares you for more advanced roles in data management.

What is an Internship Data Mapping Analyst?

An Internship Data Mapping Analyst is an entry-level or student position focused on organizing, analyzing, and translating data from one format or system to another within an organization. This role often involves working with data sets, understanding database structures, and ensuring data integrity during migrations or integrations. Interns in this position gain hands-on experience in data management, learn about data mapping tools and techniques, and support data-driven projects under supervision. The role helps build foundational skills for a career in data analysis, information systems, or business intelligence.
What cities are hiring for Internship Data Mapping Analyst jobs? Cities with the most Internship Data Mapping Analyst job openings:
What are the most commonly searched types of Data Mapping Analyst jobs? The most popular types of Data Mapping Analyst jobs are:
What states have the most Internship Data Mapping Analyst jobs? States with the most job openings for Internship Data Mapping Analyst jobs include:
Internship Data Mapping Analyst jobs near you
Senior Metadata & Data Mapping Analyst

Senior Metadata & Data Mapping Analyst

LONG FINCH TECHNOLOGIES

Dallas, TX • On-site

$85K - $107K/yr

Full-time

Posted 6 days ago

Job description

Role Overview

The Senior Metadata & Data Mapping Analyst is responsible for defining, managing, and governing enterprise metadata and end‑to‑end source‑to‑target data mappings across complex banking and risk data ecosystems. This role partners closely with Business, Risk, Finance, Data, and Technology teams to ensure data is accurate, traceable, governed, and compliant with regulatory expectations, including BCBS 239 principles.

In addition to hands‑on delivery, this role provides leadership in business development, RFP responses, and small team management, supporting data governance and regulatory transformation initiatives within a regulated financial services environment.

Key Responsibilities

Metadata Management & Source‑to‑Target Data Mapping

  • Lead the development and maintenance of business and technical metadata across enterprise data platforms.
  • Hands on experience in Data cataloguing and data lineage tools
  • Extensive experience in Metadata and data Quality and Source to target mapping and maintaining data dictionary.
  • Create and manage detailed source‑to‑target mappings (STTM) covering:
    • Business definitions
    • Data attributes and hierarchies
    • Transformation rules and calculations
    • Aggregation logic and derivations
  • Work closely with business stakeholders to ensure mappings reflect true business meaning, not just technical movement.
  • Ensure consistency between business glossaries, logical data models, and physical implementations.
  • Support mappings across multiple source systems, data warehouses, risk data marts, and reporting layers.

Data Governance & BCBS 239 Compliance

  • Support and operationalize data governance frameworks, including:
    • Data ownership and stewardship
    • Data quality rules and controls
    • Data lineage and traceability
  • Ensure metadata and data mappings align with BCBS 239 principles, particularly:
    • Accuracy and integrity
    • Completeness
    • Timeliness
    • Adaptability
    • Traceability and auditability
  • Partner with Risk, Finance, and Compliance teams to support regulatory reporting, audit, and supervisory reviews.
  • Assist in defining and maintaining data standards, naming conventions, and governance artifacts.

Business & Stakeholder Collaboration

  • Act as a bridge between business users and technology teams, ensuring shared understanding of data requirements.
  • Facilitate working sessions to capture business definitions, data usage, and reporting needs.
  • Translate regulatory, risk, and business requirements into actionable metadata and mapping deliverables.
  • Support impact analysis for upstream or downstream data changes.

Delivery & Quality Assurance

  • Support Agile or hybrid delivery models by ensuring data mapping and metadata artifacts are delivery‑ready.
  • Validate implemented mapping through data reconciliation, profiling, and UAT support.
  • Identify data quality issues, lineage gaps, and control weaknesses, and drive remediation efforts.
  • Ensure documentation meets internal governance and audit standards.

Leadership, Business Development & Operations

  • Business Development: Contribute to RFPs, proposals, and client presentations related to data governance, BCBS 239, and regulatory data programs.
  • Engagement Leadership: Support planning and execution of data governance and metadata initiatives for clients.
  • Team Management: Lead and mentor a small team of metadata and data mapping analysts, including:
    • Task planning and prioritization
    • Quality reviews of deliverables
    • Onshore/offshore coordination
  • Promote best practices and continuous improvement across data management initiatives.

Required Qualifications

  • 7–10 years of experience in data analysis, metadata management, or data mapping within banking or financial services.
  • Extensive hands‑on experience with business‑driven source‑to‑target data mapping in complex data environments.
  • Strong understanding of data governance concepts and operating models.
  • Proven experience supporting BCBS 239 compliance and risk or regulatory data programs.
  • Strong knowledge of data domains such as Risk, Finance, Regulatory Reporting, or Capital Markets.
  • Ability to translate complex business and regulatory requirements into clear, well‑structured data artifacts.
  • Excellent communication skills with the ability to engage business, data, and technology stakeholders.

Preferred Qualifications

  • Experience with metadata management or data governance tools (e.g., Collibra, Informatica, Alation, Ab Initio, or similar).
  • Strong SQL skills and experience performing data analysis and validation.
  • Familiarity with data warehousing, ETL/ELT processes, and reporting architecture.
  • Prior experience supporting regulatory reporting, stress testing, or risk data aggregation programs.
  • Experience working in onshore/offshore delivery models.

Key Competencies

  • Strong attention to detail with a data‑quality mindset
  • Ability to balance business meaning with technical implementation
  • Leadership and mentoring capability
  • Comfort operating in regulated, audit‑intensive environments
  • Strong documentation and governance discipline

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