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Remote Data Mapping Analyst Jobs in Detroit, MI (NOW HIRING)

Varsity Tutors

High School Geography Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Skilled at teaching map interpretation, spatial analysis, and geographic reasoning. Guides students through reading topographic and thematic maps, analyzing population data and migration patterns ...

Varsity Tutors

High School Geography Tutor

Detroit, MI · Remote

$18 - $40/hr

Skilled at teaching map interpretation, spatial analysis, and geographic reasoning. Guides students through reading topographic and thematic maps, analyzing population data and migration patterns ...

Pyrovio

Business Analyst (Remote)

Ann Arbor, MI · Remote

Analyze usage data and feedback to inform product enhancements and innovation strategies. * Support the development of new tools and platforms (e.g., PowerApps, SharePoint, Power BI) for project ...

Varsity Tutors

Neuroscience Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing neuroimaging results, and understanding the pharmacological basis of neurological treatments.

Varsity Tutors

Neuroscience Tutor

Detroit, MI · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing neuroimaging results, and understanding the pharmacological basis of neurological treatments.

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Showing results 21-40

All JobsData Mapping Analyst JobsRemote Data Mapping Analyst JobsRemote Data Mapping Analyst Jobs in Detroit, MI

Remote Data Mapping Analyst information

See Detroit, MI salary details

$33.7K

$81.8K

$134.6K

How much do remote data mapping analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data mapping analyst in Detroit, MI is $81,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

How does a remote data mapping analyst typically collaborate with cross-functional teams to ensure accurate data integration?

As a Remote Data Mapping Analyst, you'll regularly interact with IT, business analysts, and project managers to understand data requirements and ensure that data from various sources is accurately mapped and integrated into target systems. Collaboration often takes place through virtual meetings, documentation sharing, and project management tools. You may need to clarify data definitions, resolve mapping discrepancies, and provide updates on progress, making strong communication skills and attention to detail essential. Building relationships with stakeholders across departments helps streamline workflows and ensures the success of data integration projects.

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

AspectRemote Data Mapping AnalystData Analyst
Required CredentialsBachelor's in IT, Data Management, or related field; familiarity with data mapping toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentRemote, often collaborating with IT and data teamsRemote or on-site, working with business units and management
Industry UsageIT, Data Management, Software DevelopmentFinance, Marketing, Healthcare, Business
Common Search/ComparisonYesYes

The Remote Data Mapping Analyst primarily focuses on translating data between systems, ensuring data integrity during migrations or integrations. In contrast, a Data Analyst interprets data to generate insights, reports, and support decision-making. While both roles require data skills, the analyst emphasizes data transformation and mapping, whereas the data analyst emphasizes analysis and reporting.

What are the key skills and qualifications needed to thrive as a remote data mapping analyst?

To thrive as a Remote Data Mapping Analyst, you need a strong background in data analysis, database management, and data migration, typically supported by a degree in computer science or a related field. Proficiency with ETL (Extract, Transform, Load) tools, SQL, data mapping software, and familiarity with data integration platforms is essential. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret requirements and collaborate across remote teams. These skills ensure accurate data transformation and integration, which are critical for maintaining data integrity and supporting business operations.

What is a remote data mapping analyst?

A Remote Data Mapping Analyst is a professional who works from a remote location to analyze, organize, and translate data from various sources into a structured format. Their primary role involves identifying relationships between different data sets, ensuring data consistency, and supporting data integration projects. They often collaborate with IT teams, data engineers, and business analysts to implement data solutions that improve data quality and accessibility. This job requires strong analytical skills, attention to detail, and proficiency with data mapping tools and software.
What are popular job titles related to Remote Data Mapping Analyst jobs in Detroit, MI? For Remote Data Mapping Analyst jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Mapping Analyst jobs in Detroit, MI look for? The top searched job categories for Remote Data Mapping Analyst jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Remote Data Mapping Analyst jobs? Cities near Detroit, MI with the most Remote Data Mapping Analyst job openings:
Remote Data Mapping Analyst jobs near you
Infographic showing various Remote Data Mapping Analyst job openings in Detroit, MI as of August 2026, with employment types broken down into 72% Full Time, 4% Part Time, 8% Temporary, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,811 per year, or $39.3 per hour.

Data Architect (Remote)

Delan Associates, Inc

Auburn Hills, MI • Remote

$65.25 - $84/hr

Full-time

Posted 13 days ago

Job description

Position Description

The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required.

General

Must be self-motivated and able to work independently while consistently meeting deadlines.

Strong business and technical verbal and written communication skills.

Experience creating metrics and dashboard analytics.

Strong working knowledge of different analysis tools and techniques.

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects.

Strong SQL skills.

Functions Performed

This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position.

General Functions/Responsibilities

Architect and design business intelligence solutions for accessing and analyzing data and metadata.

Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures.

Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques.

Experience architecting and developing database solutions using both OLAP and OLTP technologies.

Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC).

Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates.

Develop and maintain technical documentation.

Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.