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Internship Data Mapping Analyst Jobs in Michigan

... data mapping within SAP and related systems. Knowledge of data modeling principles and best practices. Experience with purchasing analytics, spend analysis, reporting tools, and emerging AI ...

... mapping within SAP and related systems. • Knowledge of data modeling principles and best practices. • Experience with purchasing analytics, spend analysis, reporting tools, and emerging AI ...

$85K - $101K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

$90K - $107K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

$92K - $109K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Showing results 41-60

Internship Data Mapping Analyst information

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 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?

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 Michigan? The most popular types of Data Mapping Analyst jobs in Michigan are:

Project Portfolio Manager

Strategic Resources International USA

Detroit, MI • On-site

Contractor

Posted 26 days ago


Job description

Key Responsibilities

• Elicit, document, and manage business and functional requirements for credit card payment processing systems, including authorization, clearing, settlement, chargebacks, and dispute resolution workflows.

• Translate complex business requirements into detailed functional specifications, user stories, process flows, and data mapping documents for development and QA teams.

• Analyze end-to-end payment lifecycle processes including card authorization, capture, refund, tokenization, 3DS (3D Secure), and fraud management.

• Collaborate with internal teams (engineering, product, compliance, risk, and operations) and external vendors/partners to define and deliver payment solutions.

• Support and participate in UAT (User Acceptance Testing), system integration testing (SIT), and regression testing cycles, including reviewing test cases and defect management.

• Ensure all payment solutions adhere to PCI-DSS compliance standards, regulatory requirements, and industry best practices.

• Facilitate workshops, stakeholder meetings, and sprint ceremonies (in Agile environments) to drive alignment and timely delivery.

• Analyze payment data and transaction reports to identify trends, anomalies, and areas for process improvement.

• Support go-live activities, post-implementation monitoring, and production incident resolution related to payment systems.

• Assist in documenting API specifications and integration guides for payment gateway and processor connectivity.

Required Qualifications

• 4-7 years of experience as a Business Analyst or Technical Business Analyst, with a strong focus on credit card or digital payments processing.

• Deep knowledge of the payments ecosystem: card networks, issuers, acquirers, payment gateways, and processors.

• Proficiency with payment authorization/settlement flows.

• Experience with PCI-DSS compliance requirements and tokenization/encryption concepts.

• Solid understanding of REST APIs and ability to read and interpret API documentation and message schemas.

• Strong skills in writing BRDs, FRDs, user stories, use cases, data flow diagrams, and process maps.

• Experience working in Agile/Scrum methodology using tools such as Azure DevOps.

• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with 3D Secure (EMV 3DS), EMV chip, contactless payments, and digital wallets (Apple Pay, Google Pay).

• Knowledge of chargeback and dispute management processes.

• Familiarity with payment platforms such as Fiserv, FIS, ACI Worldwide, Worldpay, Stripe, Adyen, or Cybersource.

• Preferred Certifications: CBAP, PMI-PBA, or relevant payments industry certifications (e.g., AAP - Accredited ACH Professional).

• Experience with fraud detection tools and rules engines.

• Experience with reconciling merchant activity to the system

Technical Skills

• Tools: MS Office Suite, Miro, ADO

• Languages/Query: SQL, basic understanding of XML/JSON

• Standards: ISO 8583, ISO 20022, PCI-DSS, EMV

• Methodology: Agile/Scrum, Waterfall, or hybrid