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Internship Data Mapping Analyst Jobs in Virginia

Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.

New

Senior Mortgage Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Perform comprehensive data lineage analysis, profiling, and mapping across enterprise systems to identify data flows and quality issues * Define business requirements and user stories for data ...

Data Analyst - Sr

Mclean, VA · On-site

$88K - $111K/yr

Title : Sr Data Analyst Location: McLean, VA Duration: 12+ Months Must Haves: * SQL * Regex ... Snowflake experience * data mapping Dexian stands at the forefront of Talent + Technology solutions ...

Data Analyst - Sr

Mclean, VA · On-site

$86K - $109K/yr

Title : Sr Data Analyst Location: McLean, VA Duration: 12+ Months Must Haves: * SQL * Regex ... Snowflake experience * data mapping Dexian stands at the forefront of Talent + Technology solutions ...

Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data analysis activities * Interpret Customers functional and information needs and ...

Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data analysis activities * Interpret Customers functional and information needs and ...

Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data analysis activities * Interpret Customers functional and information needs and ...

Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data analysis activities * Interpret Customers functional and information needs and ...

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Internship Data Mapping Analyst information

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 are the most commonly searched types of Data Mapping Analyst jobs in Virginia? The most popular types of Data Mapping Analyst jobs in Virginia are:
Senior Mortgage Data Analyst Data Transformation

Senior Mortgage Data Analyst Data Transformation

Netsynk

Mclean, VA • On-site

$88K - $111K/yr

Other

Posted 10 days ago


Job description

Job Title: Senior Mortgage Data Analyst – Data Transformation
Location: McLean, VA
Work Mode: In Office
Experience Required: 10+ Years
Employment Type: Contract


Role Overview

We are seeking an experienced Senior Mortgage Data Analyst – Data Transformation to support a large-scale enterprise data transformation initiative within the financial services industry. This role serves as the bridge between business stakeholders and technical teams, ensuring business requirements are translated into scalable, cloud-based data solutions.

The ideal candidate will have strong expertise in business analysis, data lineage, data mapping, cloud data platforms, and enterprise data transformation, along with excellent stakeholder management and communication skills.


Key Responsibilities
  • Perform data lineage analysis, data profiling, and data mapping across enterprise applications and data platforms.
  • Analyze legacy data assets and map them to modern cloud-based target architectures.
  • Gather, analyze, and document business, functional, and technical requirements for enterprise data transformation initiatives.
  • Create user stories, business process flows, functional specifications, and acceptance criteria for development teams.
  • Collaborate with business stakeholders, architects, data engineers, and product owners to define scalable data solutions.
  • Evaluate event-driven and entity-based data models while identifying transformation opportunities and data gaps.
  • Support cloud-based data ingestion and integration initiatives.
  • Coordinate User Acceptance Testing (UAT), Quality Assurance (QA), and validation activities.
  • Ensure project deliverables meet business objectives, quality standards, and delivery timelines.
  • Facilitate stakeholder meetings, manage expectations, and communicate project progress effectively.
  • Utilize AI-powered productivity tools such as Microsoft Copilot, ChatGPT, and Claude to improve documentation, analysis, and delivery efficiency.
  • Support enterprise data governance initiatives and ensure adherence to organizational data standards.

Required Qualifications
  • Bachelor''s degree in Computer Science, Information Systems, Business, Data Analytics, Finance, or a related field.
  • 7+ years of experience in Business Analysis supporting enterprise data, analytics, or technology transformation initiatives.
  • Proven expertise in:
    • Data Lineage
    • Data Profiling
    • Data Mapping
    • Business Process Analysis
  • Strong experience gathering and documenting:
    • Business Requirements
    • Functional Requirements
    • Technical Requirements
  • Experience working with cloud-based data platforms and modern data ingestion architectures.
  • Knowledge of enterprise data architecture, data governance, and data integration concepts.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Excellent written and verbal communication skills.
  • Experience working in Agile environments.

Preferred Qualifications
  • Experience within the secondary mortgage or financial services industry.
  • Hands-on experience with cloud data platforms such as:
    • Snowflake
    • Databricks
    • AWS
    • Azure
    • Google Cloud Platform (Google Cloud Platform)
  • Experience supporting enterprise data modernization and legacy system transformation projects.
  • Experience with Agile tools such as Azure DevOps and Jira.
  • Familiarity with AI-assisted productivity tools including Microsoft Copilot, ChatGPT, and Claude.
  • Professional certifications such as:
    • CBAP
    • PMI-PBA
    • Scrum Master
    • Agile Certifications