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Data Modeling Analyst Jobs (NOW HIRING)

Data Modeler

Albany, NY · Remote

$56 - $72.75/hr

Analyze business requirements to identify data needs and relationships. * Design normalized and ... Use modeling tools like ER/Studio, ERwin, or SQL DBMS-native tools. Qualifications: * Bachelor ...

Data Modeler

La Vista, NE · On-site

$51 - $66/hr

Primary Responsibilities Data Modeling & Design * Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and analytics platforms. * Design and ...

$60 - $80/hr

Interprets financial data and prepares analyses that support business planning and strategic ... models. * Effective verbal and written communication skills. * Detail-oriented and willing to ...

Data Analyst/Modeler

Bloomfield, NJ · On-site

$56 - $72.75/hr

... modeling tools like Erwin o Experience developing both OLTP and Data Warehousing data models o ... Data Analyst experience o Reference Data Modeling experience o Prior knowledge/experience of ...

Data Modeling Consultant

Charlotte, NC · On-site

$125 - $150/hr

We specialize in leveraging advanced AI and analytics to create innovative solutions that address ... Develop target‑state data models by rationalizing legacy data structures and aligning with ADS ...

$125 - $150/hr

We specialize in leveraging advanced AI and analytics to create innovative solutions that address ... Develop target‑state data models by rationalizing legacy data structures and aligning with ADS ...

... analyse results, and coordinate bug fixes to uphold the software quality standards • Develop ... and physical data models for Authorized Data Store (ADS) aligned with business domains and ...

Showing results 41-60

Data Modeling Analyst information

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$34K

$82.6K

$136K

How much do data modeling analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data modeling 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 is a data modeling analyst?

Data Modeling Analysts are professionals who design, implement, and manage data models that organize and structure information within a business or organization. They analyze data requirements, create diagrams and representations of data flow, and ensure that data is stored efficiently and securely. Their work helps organizations make sense of complex data, supports business intelligence, and facilitates decision-making processes. Data Modeling Analysts often collaborate with database administrators, software developers, and business analysts to align data models with business goals.

How does a data modeling analyst typically collaborate with data engineers and business stakeholders during a project?

A Data Modeling Analyst works closely with data engineers to ensure that data models are effectively translated into robust database structures, addressing both performance and scalability requirements. They also engage with business stakeholders to understand data needs, clarify requirements, and ensure models align with organizational goals. Regular meetings, joint design sessions, and ongoing feedback loops are common, helping to bridge technical and business perspectives and ensuring that the final data solutions support decision-making and analytics processes.

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

To thrive as a Data Modeling Analyst, you need a strong background in data analysis, database design, and an understanding of relational and dimensional data modeling, often supported by a degree in computer science or a related field. Proficiency with tools such as ERwin, Microsoft Visio, SQL, and familiarity with database management systems like Oracle or SQL Server is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with stakeholders and translate business requirements into data models. These competencies ensure data integrity, support business intelligence initiatives, and facilitate efficient decision-making processes.

What is the difference between Data Modeling Analyst vs Data Analyst?

AspectData Modeling AnalystData Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Skills & CertificationsSQL, data modeling, database design, possibly certifications like CBIPExcel, SQL, data visualization tools, statistical knowledge
Work EnvironmentData warehouses, database environments, IT teamsBusiness units, analytics teams, reporting platforms
Industry UsageTech, finance, healthcare, where data architecture is keyMarketing, finance, operations, where data insights drive decisions

In summary, Data Modeling Analysts focus on creating the structure of data storage and ensuring data integrity, while Data Analysts interpret data to support business decisions. Both roles require strong analytical skills but differ in their core responsibilities and technical focus.

What are popular job titles related to Data Modeling Analyst jobs?

For Data Modeling Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Modeling Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Modeler

Albany, NY • Remote

$56 - $72.75/hr

Other

Re-posted 17 days ago


Job description

Job Title: Data Modeler

Location: Remote

We are currently seeking candidates who meet the following qualifications.

Responsibilities:

  • Develop and maintain conceptual, logical, and physical data models.
  • Analyze business requirements to identify data needs and relationships.
  • Design normalized and denormalized data structures for OLTP and OLAP systems.
  • Collaborate with data architects, engineers, analysts, and business stakeholders.
  • Create and maintain data dictionaries and metadata repositories.
  • Ensure data integrity, consistency, and quality across systems.
  • Support data warehouse, data lake, and master data management projects.
  • Use modeling tools like ER/Studio, ERwin, or SQL DBMS-native tools.
Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Experience in data modeling or database design.
  • Proficiency in data modeling techniques and standards (3NF, Star Schema, Snowflake).
  • Experience working with RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL).
  • Experience in data integration and ETL processes.
  • Strong SQL skills and experience with writing queries for validation and testing.
  • Understanding of data governance, data quality, and metadata management.
  • Experience with NoSQL or semi-structured data modeling (e.g., JSON, MongoDB).
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of BI tools and reporting systems (e.g., Power BI, Tableau).
  • Experience with Data Vault, Anchor Modeling, or other advanced methodologies.
  • Federal Experience is a plus.
  • Required Security clearance.
    If you meet these qualifications, please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.