ZipRecruiter

Log In

2

Remote Data Mapping Analyst Jobs in Pittsburgh, PA

Data Ideology

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Ideology LLC

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

... maps * Strong foundation in machine learning, data modeling, and predictive analytics ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

CEI

Business Analyst

Pittsburgh, PA · Remote

Remote (US) Must reside in Eastern or Central Time Zone Employment Type: Contract / Contract-to ... Due to client data security and compliance requirements, candidates must be U.S. Citizens. * Must ...

next page

Showing results 1-20

All JobsData Mapping Analyst JobsRemote Data Mapping Analyst JobsRemote Data Mapping Analyst Jobs in Pittsburgh, PA

Remote Data Mapping Analyst information

See Pittsburgh, PA salary details

$33K

$80.2K

$132K

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

As of Aug 18, 2026, the average yearly pay for remote data mapping analyst in Pittsburgh, PA is $80,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 per year, depending on experience, location, and employer.

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 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.

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 most commonly searched types of Data Mapping Analyst jobs in Pittsburgh, PA?

The most popular types of Data Mapping Analyst jobs in Pittsburgh, PA are:

What are popular job titles related to Remote Data Mapping Analyst jobs in Pittsburgh, PA?

For Remote Data Mapping Analyst jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Remote Data Mapping Analyst jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Data Mapping Analyst jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Data Mapping Analyst jobs?

Cities near Pittsburgh, PA with the most Remote Data Mapping Analyst job openings:

Remote Data Mapping Analyst jobs near you

Cloud Data Architect

Data Ideology

Pittsburgh, PA • Remote

$65.25 - $84/hr

Contractor

Re-posted 10 days ago

Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com.
Cloud Data Architect
We are always looking to connect with top talent! We are seeking a skilled and collaborative Cloud Data Architect to help drive ongoing data modernization efforts. This role is responsible for designing and enabling modern cloud data platforms, integrating enterprise systems, and building semantic data models that support critical business functions across the organization. If you're passionate about cloud architecture, scalable data solutions, and helping organizations transform their data ecosystems, we'd love to connect with you.
Key Responsibilities

  • Own the architecture for cloud-native data platforms, including Lakehouse designs (Delta Lake, Iceberg, Databricks, or Microsoft Fabric) that support reporting, analytics, and BI.
  • Design scalable data models supporting enterprise platforms, including ERP, financial, operational, and project management systems.
  • Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production.
  • Build frameworks for real-time and near real-time data ingestion and processing, alongside batch pipelines (ELT/ETL).
  • Drive decisions across storage, orchestration, data quality, reliability, and performance.
  • Define semantic data models that enable self-service analytics and consistent reporting, in coordination with data governance, metadata management, and master data management (MDM) standards.
  • Partner with business and technical stakeholders across functional areas to prioritize requirements and translate them into architectural decisions.
  • Support secure, governed data access in coordination with Identity and Access Management (IAM) teams.
  • Evaluate emerging technologies, including AI, and identify opportunities to apply them within the data ecosystem; help shape the long-term technical roadmap.
  • Mentor junior architects and data management staff, and translate complex technical concepts into clear, business-friendly language for technical and non-technical audiences alike.
Qualifications
  • 8+ years of experience in data architecture, data modeling, or cloud data engineering, with demonstrated ownership of architecture decisions.
  • Hands-on experience designing and implementing cloud data solutions using Snowflake, Azure, AWS, and/or Databricks.
  • Deep understanding of distributed systems, data architecture, and modern cloud infrastructure.
  • Experience with Lakehouse architecture and platforms (Delta Lake, Apache Iceberg, Apache Hudi).
  • Demonstrated success designing semantic data models for reporting and analytics at scale.
  • Experience leading or supporting large-scale data migrations, from discovery through cutover, and building systems from concept through production.
  • Experience supporting low-latency or high-volume data environments is highly desirable.
  • Strong grounding in modern data warehousing, ELT/ETL, and cloud architecture best practices.
  • Proven ability to navigate ambiguity, influence technical direction, and drive clarity across cross-functional teams, balancing strategic vision with hands-on execution.
  • Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
  • Deep experience with data governance, metadata management, MDM, and data quality frameworks.
  • Familiarity with data catalog tools (e.g., Purview, Collibra, Alation).
  • Track record supporting enterprise data modernization, migration, or cloud transformation initiatives.
Work Environment: 
  • Remote work from home. 
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. 
Physical Demands: 
  • Must be able to remain in a stationary position 50% of the time. 
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. 
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. 
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. 

Data Ideology is an EEO Employer
 

Powered by JazzHR

hQ8Bz5JGY3