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Full Time Data Mapping Analyst Jobs (NOW HIRING)

Ascentt

Manufacturing Data Analyst

Plano, TX · On-site

Map and analyze plant operations, shop floor, and production data * Conduct current-state assessments and build data glossaries * Partner closely with business stakeholders, plant teams, and ...

InstantServe LLC

Data Analyst

Jackson, MS · On-site

Data Analyst Location: Jackson, MS Duration: 12 Months (Must be onsite one full week per month ... Data mapping specifications for migration from large legacy database to new case management ...

Stem Xpert

Fulltime- Data Architect

Miami, FL · On-site

$61 - $78.50/hr

... Data Architect Location:- Miami, FL Duration:- Fulltime Salary:- 140-145K with Benefit including ... Analyze requirements and design solutions for approved projects and change requests. * Collaborate ...

3B Staffing LLC

Sr Business Analyst

Quincy, MA · Hybrid

$97.30K - $125.60K/yr

Data Analysis & Mapping Skills * Provide subject-matter expertise in data discovery, mapping, analysis, and report creation using native database discovery and documenting tools to help improve ...

Centurion

Data Analyst (76789)

Jefferson City, MO · On-site

We are currently seeking a full-time Data Analyst to join our Regional office in Jefferson City, MO. The Data Analyst is responsible for supporting operational and clinical contract requirements via ...

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Full Time Data Mapping Analyst information

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$136K

How much do full time data mapping analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for full time data mapping analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Data Mapping Analyst, and why are they important?

To thrive as a Full Time Data Mapping Analyst, you need strong analytical skills, expertise in data modeling, and a background in information systems or computer science. Familiarity with data mapping tools, ETL (extract, transform, load) platforms, and database management systems such as SQL is typically required. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and ensuring data accuracy. These skills are crucial for translating business requirements into robust data structures and ensuring seamless data integration across systems.

What are some common challenges a Full Time Data Mapping Analyst may encounter when integrating data from multiple sources?

A Full Time Data Mapping Analyst often faces challenges such as dealing with inconsistent data formats, missing or incomplete data fields, and varying data quality across different systems. Additionally, understanding complex business rules and ensuring accurate transformation logic can be demanding, especially when working with legacy systems or large datasets. Effective communication with stakeholders and close collaboration with IT and business teams are essential to clarify requirements and resolve ambiguities during the mapping process.

What does a Full Time Data Mapping Analyst do?

A Full Time Data Mapping Analyst is responsible for analyzing, organizing, and transforming data from various sources to ensure it can be used effectively across systems. They create data maps that define how data fields from one database correspond to those in another, often as part of system integrations or data migrations. Their work helps organizations maintain data accuracy, streamline processes, and support business intelligence or reporting needs. They also collaborate with IT, business analysts, and other stakeholders to understand data requirements and resolve mapping issues.

What is the difference between Full Time Data Mapping Analyst vs Data Analyst?

AspectFull Time Data Mapping AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; familiarity with data mapping toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentCorporate offices, data centers, or remote settings within tech or finance industriesBusiness environments, consulting firms, or remote roles across various industries
Employer & Industry UsagePrimarily in IT, finance, and data management companiesWide-ranging across industries like marketing, healthcare, finance, and tech

The Full Time Data Mapping Analyst focuses on translating data between systems and ensuring data integrity, often requiring technical skills in data mapping tools. In contrast, a Data Analyst interprets data to provide insights, requiring strong analytical and visualization skills. While both roles involve working with data, their core responsibilities and skill sets differ, making each suited to different organizational needs.

More about Full Time Data Mapping Analyst jobs
What cities are hiring for Full Time Data Mapping Analyst jobs? Cities with the most Full Time Data Mapping Analyst job openings:
What are the most commonly searched types of Data Mapping Analyst jobs? The most popular types of Data Mapping Analyst jobs are:
What states have the most Full Time Data Mapping Analyst jobs? States with the most job openings for Full Time Data Mapping Analyst jobs include:
What job categories do people searching Full Time Data Mapping Analyst jobs look for? The top searched job categories for Full Time Data Mapping Analyst jobs are:
Full Time Data Mapping Analyst jobs near you
Infographic showing various Full Time Data Mapping Analyst job openings in the United States as of May 2026, with employment types broken down into 38% Full Time, and 62% Part Time. Highlights an 70% Physical, and 30% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Manufacturing Data Analyst

Manufacturing Data Analyst

Ascentt

Plano, TX • On-site

Full-time

Posted 25 days ago

Job description

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring passionate builders to shape the future of industrial intelligence.
Role Overview
Are you someone who thrives at the intersection of data and real-world operations?
We're looking for a Manufacturing Data Analyst / Senior Data Analyst to drive a large-scale data transformation initiative across manufacturing plants-working directly on the ground where impact truly happens.
What You'll Do
  • Work on-site at manufacturing plants to understand operations firsthand
  • Map and analyze plant operations, shop floor, and production data
  • Conduct current-state assessments and build data glossaries
  • Partner closely with business stakeholders, plant teams, and leadership
  • Identify high-impact, quick-win opportunities (micro-transformations)
  • Act as a trusted data consultant, not just a developer

What We're Looking For
  • 6+ years of experience in data-focused roles
  • Strong foundation in:
    • Data Warehousing, Data Modeling, Data Structures
    • Data Mapping, Data Analysis
    • Data Governance, Data Architecture, Data Glossary
  • Experience with manufacturing / plant / industrial data (highly preferred)
  • Strong consultative skills: stakeholder management, process mapping, requirements gathering, data strategy
  • Ability to translate complex data into simple business language

Tools & Technologies (Must Have)
SQL, Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines
Industry Experience (Important)
Manufacturing, Automotive, Industrial, Supply Chain, Production, Heavy Industry
Nice-to-Have
Lean Manufacturing, Six Sigma, IIoT, Smart Factory, Industry 4.0
Location & Travel
  • Highly on-site role
  • Preferred: Kentucky, Indiana, North Carolina (Raleigh)
  • Open to candidates willing to travel frequently or relocate

Why This Role?
This isn't a typical data role.
You'll be:
  • Building trust with plant teams
  • Driving real transformation from the ground up
  • Acting as a bridge between data strategy and shop-floor execution

Apply