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Internship Data Mapping Analyst Jobs in Seattle, WA

Stem Xpert

Business Analyst

Seattle, WA

... Data mapping knowledge Basic SQL knowledge - MUST HAVE Should be able to write the business specs Should have hands on experience in creating Process flow diagrams Additional Information

Amazon

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

... analytics, including each of: ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle - 3+ years of non internship data engineering experience PREFERRED QUALIFICATIONS - Experience with ...

TerraPower

Data Architect

Bellevue, WA · On-site

$71.50 - $92/hr

... Synapse Analytics • Define reference architectures and design patterns for data integration ... lake, including data mapping, transformation logic, and quality validation. • Document ...

InterSources Inc

AS400 Developer

Issaquah, WA · On-site

... data mapping documents after analyzing program flows and data flows. • ILE Programming - Analyze and Create program modules, binding directories, service programs. • Working knowledge of Message ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

They are seeking an Associate Data Engineer who will work hands-on in the HR Analytics data ... internships, bootcamps, or self-directed project work. • Must be located in the United States ...

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All JobsData Mapping Analyst JobsInternship Data Mapping Analyst JobsInternship Data Mapping Analyst Jobs in Seattle, WA

Internship Data Mapping Analyst information

See Seattle, WA salary details

$13

$25

$47

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

As of Aug 29, 2026, the average hourly pay for internship data mapping analyst in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as an internship data mapping analyst?

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 types of data projects can an internship data mapping analyst expect to work on?

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 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 are the most commonly searched types of Data Mapping Analyst jobs in Seattle, WA?

The most popular types of Data Mapping Analyst jobs in Seattle, WA are:

Internship Data Mapping Analyst jobs near you

Mapping Data Analyst

Bothell, WA • On-site

Cognizant Technology Solutions

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

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Recommended by parents

Respectful managers

Learn more about Cognizant Technology Solutionsexternal

$19 - $21.60/hr

Full-time

Medical, Dental, Life, Retirement

Posted 10 days ago

Job description

At Cognizant, we strive to provide flexibility wherever possible and support a healthy work-life balance through our wellbeing programs. Based on this role's business requirements, this is an onsite position requiring 5 days per week in a client or Cognizant office in Bothell, WA.
About the Role:
As a Mapping Data Analyst, you will serve as a subject-matter expert in data mining, analytics, reporting, and process improvement. You will leverage data to identify operational opportunities, improve efficiency and accuracy, accelerate model and algorithm performance, and provide actionable insights that support business decisions. This role combines analytical expertise, technical problem-solving, and operational collaboration. Success in this role comes from strong analytical thinking, attention to detail, data storytelling, and the ability to translate complex data into meaningful business recommendations. You will work closely with mapping operations, advanced operators, quality teams, and business stakeholders as part of the Cognizant team.
In This Role, You Will:
Data Analysis & Reporting
  • Understand business and analytical needs, document requirements, and prioritize improvement initiatives.
  • Build and maintain SQL queries, scripts, dashboards, and reports to track operational performance.
  • Use statistical methods to analyze data and generate actionable insights.
  • Create meaningful visualizations and reporting solutions for stakeholders and clients.
  • Monitor key performance indicators and identify trends, risks, and opportunities.
  • Measure solution effectiveness through before-and-after performance metrics.

Process Improvement & Operational Excellence
  • Identify opportunities to improve quality, productivity, and operational efficiency.
  • Develop recommendations and proposals based on data-driven insights.
  • Collaborate with Advanced Operators and cross-functional teams to test improvement hypotheses.
  • Support initiatives that streamline workflows and optimize business processes.
  • Identify and implement data quality improvements and automation opportunities.
  • Serve as a point of contact for data-related questions and analytical support.

Technical Solutions & Data Management
  • Utilize SQL, Oracle, Python, and other tools to prepare, analyze, and present data.
  • Apply knowledge of JSON to support data workflows, integrations, and reporting solutions.
  • Assist in the development and enhancement of data pipelines to improve throughput and near real-time insights.
  • Manage source code updates using version control best practices.
  • Ensure data management processes and scripts comply with established standards and best practices.
  • Support initiatives involving spatial data analysis when applicable.

What We're Looking For:
  • Strong analytical and problem-solving skills with the ability to interpret complex datasets.
  • Experience working with SQL and data visualization or reporting tools.
  • Knowledge of Python, Oracle, JSON, or similar technologies for data analysis and automation.
  • Ability to communicate insights effectively to technical and non-technical stakeholders.
  • Strong attention to detail and commitment to data accuracy and quality.
  • Experience with process improvement, operational analytics, or business reporting is preferred.
  • Knowledge of spatial or geospatial data analysis is a plus.
  • Ability to work collaboratively in a fast-paced operational environment.
  • Willingness to work onsite in Bothell, WA.

Salary & Benefits
The hourly rate for this position ranges from $19.00 - $21.60 per hour, depending on experience and qualifications.
Benefits include: • Life & Disability Insurance
• Group Health, Dental & Wellness
• Sick Leave
• 401(k) Plan and Contributions
The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
Cog2026
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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