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Data Matrix Jobs (NOW HIRING)

... data security controls and processes for compliance • Build and enhance the operational guideline ... with Matrix/Hadoop • Addressing complexities of very large databases (VLDB) • Experience ...

Data Architect

Fairfield, IA · On-site

$55.50 - $71.50/hr

Trillium, SSIS Data Quality) • Experience in Design and build of LAI Data Quality (DQ) Business Rules • Experience in design of DQ reporting Matrix to measure Accuracy, timeliness, consistency ...

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Data Matrix information

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$46K

$165K

$243.5K

How much do data matrix jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data matrix in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Matrix vs Data Analyst?

AspectData MatrixData Analyst
Required CredentialsTypically no formal credentials; training in data management and codingBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentData management systems, warehouses, or manufacturing settingsOffice environment, analyzing data, creating reports, and visualizations
Industry UsageManufacturing, logistics, inventory managementFinance, marketing, healthcare, and other sectors
Common Search/ComparisonData Matrix vs Data Analyst

Data Matrix refers to a data encoding or management system used in manufacturing or logistics, while Data Analyst is a professional who interprets and visualizes data across various industries. The two roles differ in credentials, work environment, and industry application, but both involve working with data to support decision-making.

What are some common challenges faced by professionals working with data matrices, and how can they be addressed?

Professionals working with data matrices often encounter challenges such as handling missing or inconsistent data, ensuring data quality, and managing large, complex datasets. Addressing these issues typically involves using data cleaning techniques, employing robust validation checks, and leveraging specialized tools or programming languages like Python and R. Collaboration with data engineers and domain experts is essential to accurately interpret and process matrix data, especially in fields like analytics or machine learning. Staying updated on best practices and new technologies also helps in efficiently overcoming these challenges.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, statistical knowledge, and proficiency in data interpretation, often supported by a degree in a quantitative field. Familiarity with tools like SQL, Excel, Python or R, and data visualization platforms such as Tableau or Power BI is essential. Attention to detail, critical thinking, and effective communication are critical soft skills for distilling insights and presenting findings to stakeholders. These skills enable accurate data-driven decisions and clear communication of complex information, which are vital for business success.

What is a data matrix?

A Data Matrix is a type of two-dimensional barcode that consists of black and white cells arranged in either a square or rectangular pattern. It is commonly used to encode large amounts of data in a small space, such as product information, serial numbers, or tracking codes. Data Matrix codes are widely used in industries like manufacturing, healthcare, and logistics due to their ability to be read quickly and accurately, even if partially damaged. They are particularly useful for marking small items where space is limited.
More about Data Matrix jobs
Infographic showing various Data Matrix job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Architect /Data Migration Facilitator

Instant Serve LLC

Milwaukie, OR • On-site

$80 - $100/hr

Contractor

Re-posted 11 days ago


Job description

 Location Milwaukie, Oregon Job Description 

Position: Data Migration Facilitator
Location Requirement: Candidate must be within 100 miles of OLCC Headquarters and report onsite at least one day per week.


Overview

The Data Migration Facilitator will play a key role in the Enterprise Modernization Program and DSSC project, ensuring accurate, secure, and efficient migration of legacy data into new enterprise systems. The role requires strong analytical skills, experience with data integrity practices, and the ability to coordinate across agency staff, vendors, and external stakeholders.


Key Responsibilities
  • Implement data security approaches and best practices to ensure data consistency, integrity, and business continuity across multiple applications.

  • Collaborate with agency staff, licensees, and contracted liquor store agents to identify required reports/queries, prioritize them, and document data fields needed.

  • Evaluate proposed queries/reports, optimize or combine for performance and efficiency.

  • Maintain and update the data inventory analysis document (unified data matrix), including data mapping, quality measurement, and migration recommendations.

  • Facilitate planning and development of field-level data mapping across legacy systems, defining sources of truth and mapping to future-state schema for cleansing, transformation, extraction, and loading.

  • Research and assess data quality dimensions—completeness, uniqueness, timeliness, validity, accuracy, and consistency—ensuring conformance to design standards.

  • Lead stakeholder meetings to determine which data should be migrated, establish priorities, and design data models accordingly.

  • Provide weekly migration status reports, highlighting gaps, risks, and mitigation strategies to prevent project delays.

  • Develop and execute a data testing plan, involving stakeholders in pre-migration testing.

  • Identify data-related risks that may impact overall system performance and recommend design or process changes.

  • Document procedures, standards, and policies for data migration through facilitated workshops with OLCC subject matter experts, vendors, and contracted agents.

  • Create and maintain a data dictionary bridging legacy databases and new system schemas.

  • Analyze data usage, reporting, integrity, and security to design and establish the data lake/mart, ensuring compatibility across modernization projects.

  • Facilitate cross-team meetings to address migration challenges and ensure alignment across ongoing modernization efforts.


Qualifications
  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field.

  • Strong mathematical and analytical skills with the ability to interpret and apply statistical methods to solve industry problems.

  • Hands-on experience with data migration, analysis, and reporting.

  • Strong computer skills with proficiency in databases, reporting tools, and programming languages for automation or optimization.

  • Ability to compile, organize, and present complex statistical/data findings to stakeholders and management.

  • Excellent communication skills to train and guide team members in interpreting data and organizing findings.

Required Skills
  • Database:

    • Data Analysis – Proficient (4–6 Years)

    • MySQL – Novice (1–3 Years)

  • Languages:

    • JSON – Proficient (4–6 Years)

    • SQL – Proficient (4–6 Years)

  • Others:

    • Communication skills (verbal & written) – Advanced (7–9 Years)

    • Learning ability – Advanced (7–9 Years)

    • Teamwork – Advanced (7–9 Years)


 Desired (Not Required) Skills
  • Database:

    • ADO.NET – Novice (1–3 Years)

    • Data Modeling – Proficient (4–6 Years)

    • Data Warehousing – Novice (1–3 Years)

    • DBA – Novice (1–3 Years)

    • Microsoft SQL Server – Proficient (4–6 Years)

    • PostgreSQL – Novice (1–3 Years)

  • Operating Systems:

    • Linux – Novice (1–3 Years)

  • Others:

    • Integration planning and strategy – Novice (1–3 Years)

    • Presentation skills – Proficient (4–6 Years)

  • Tools:

    • Crystal Reports – Novice (1–3 Years)

    • Microsoft Office – Proficient (4–6 Years)

    • Sybase PowerBuilder – Novice (1–3 Years)


InstantServe is Proud to be an EOE and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law.   Applicants with disabilities that require accommodation or assistance in a position please call 202-701-1667 or email  contact@iserveworld.com. This is a dedicated line designed exclusively to assist job seekers whose disability prevents them from being able to apply online. 


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About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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