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Data Modeling Analyst Jobs (NOW HIRING)

Sonsoft Inc

Data Modeler Analyst

Tampa, FL

$51.75 - $67/hr

Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project ... Ability to communicate strategies and processes around data modeling and architecture to cross ...

Sonsoft Inc

Data Modeler Analyst

Tampa, FL

$51.75 - $67/hr

Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project ... Ability to communicate strategies and processes around data modeling and architecture to cross ...

Sonsoft Inc

Data Modeler Analyst

Warren, NJ

$56.75 - $73.75/hr

Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project ... Ability to communicate strategies and processes around data modeling and architecture to cross ...

Sonsoft Inc

Data Modeling Consultant

Charlotte, NC

Experience on data modeling using Dimensional as well as ER-Model * Have working Knowledge of ... Analytical skills. * Experience and desire to work in a Global delivery environment. * Person needs ...

Guru Schools

Data Analyst/Data Modeler:

Sacramento, CA · On-site

$58.50 - $75.75/hr

... modeling in relational and dimensional models- Develops physical data model and/or works with ... Performs data analysis/predictive data modeling- Mentors and educates team members on best ...

Capital One

Manager, Ontology & Data Modeling

Richmond, VA

$54.25 - $70.25/hr

Manager, Ontology & Data Modeling The role of the Manager of Ontology and Data Modeling is to ... Able to analyze and implement knowledge organization strategies using tools capable of machine ...

Capital One

Manager, Ontology & Data Modeling

Chicago, IL

$56.50 - $73.25/hr

Manager, Ontology & Data Modeling The role of the Manager of Ontology and Data Modeling is to ... Able to analyze and implement knowledge organization strategies using tools capable of machine ...

Capital One

Manager, Ontology & Data Modeling

Mclean, VA

$55.25 - $71.75/hr

Manager, Ontology & Data Modeling The role of the Manager of Ontology and Data Modeling is to ... Able to analyze and implement knowledge organization strategies using tools capable of machine ...

Orion180

Data Modeling Lead

Irving, TX · On-site

At Orion180, we expect our analytics team to go beyond maintenance and serve as architectural ... Strong understanding of model performance tuning, relationship and cardinality management, and data ...

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All JobsData Modeling Analyst Jobs

Data Modeling Analyst information

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$34K

$82.6K

$136K

How much do data modeling analyst jobs pay per year?

As of Jun 17, 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.

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 does a data modeling analyst do?

A data modeling analyst designs and develops data models to organize and structure data for analysis and decision-making. They use tools like ER diagrams and SQL, and often work closely with database administrators and data engineers to ensure data accuracy and efficiency.

Will AI replace data modelers?

AI tools can automate certain tasks in data modeling, such as data cleaning and pattern recognition, but data modeling analysts are essential for designing complex models, interpreting results, and ensuring data quality. Human expertise remains critical for understanding business context and making strategic decisions, making the role of a data modeling analyst unlikely to be fully replaced by AI in the near future.

What are Data Modeling Analysts?

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.

Is 40 too late for data science?

For a Data Modeling Analyst, age is not a barrier to entering data science, as skills and experience are more important. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python. Continuous learning and certifications can help overcome age-related concerns in the field.

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.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around the national average, while experienced analysts with specialized skills or certifications can earn higher salaries. The role often requires proficiency in tools like Excel, SQL, and data visualization software, which can influence compensation levels.
More about Data Modeling Analyst jobs
What job categories do people searching Data Modeling Analyst jobs look for? The top searched job categories for Data Modeling Analyst jobs are:
Data Modeling Analyst jobs near you
Infographic showing various Data Modeling Analyst job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Utility Data and Modeling Analyst

Utility Data and Modeling Analyst

HDR

Saint Louis Park, MN • On-site

Other

Posted 28 days ago

HDR rating

9.1

Company rating: 9.1 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

20th of 352 rated engineering

Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' https://www.hdrinc.com/our-story' 
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. 
We believe water is more than a resource, it's a shared responsibility. As part of our Water Business Group, you'll help shape how communities manage water for generations to come. From delivering safe drinking water and treating wastewater responsibly to developing sustainable water supplies and protecting lives and property through flood control, your work will directly support public health, environmental sustainability, and infrastructure resilience.  We bring together experts across disciplines to solve complex challenges with bold thinking and technical excellence. Whether you're modernizing aging systems or pioneering innovative approaches, your contributions will make a meaningful difference in people's lives. This isn't just a job, it's a chance to lead change, drive progress, and leave a lasting legacy.

About the Role

HDR is seeking an entrylevel Utility Data, Asset Management & Hydraulic Modeling Analyst to support water and wastewater utility projects through applied hydraulic modeling analysis, data analytics, GIS, and asset management. This position contributes to system evaluations, capital planning, regulatory analysis, and development of technical deliverables for municipal utility clients. The successful candidate will demonstrate strong analytical capability, technical rigor, and an interest in advancing datadriven utility planning.

Key Responsibilities:

Hydraulic Modeling & System Analysis

  • Assist with building and maintaining hydraulic model data for water distribution and wastewater collection systems using GIS datasets, asbuilt drawings, and field data.
  • Support hydraulic simulations, system performance evaluations, and scenario analyses for planning studies and operational assessments.
  • Utilize data from industry modeling tools such as InfoWater, InfoSewer, InfoSWMM, InfoWorks ICM, SewerGEMs, WaterGEMs, EPANet, and ArcGIS Pro. 

Data Engineering, Analytics & Visualization

  • Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and monitoring records.
  • Develop analytical and visualization outputs using SQL, Power BI, Python, R, and GIS platforms to support technical evaluations.
  • Support database management, data structuring, and creation of modeling-ready datasets to improve study reliability and documentation.
  • Handle highly sensitive and confidential information with professionalism and discretion
  • Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
  • Develop data products including reports, visualizations, and dashboards
  • Adhere to software and data science development standards
  • Perform data acquisition, sourcing, cleaning and exploratory data analysis (EDA)
  • Transform raw data into usable attributes for machine learning modules through feature engineering
  • Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference.
  • Create automated data pipelines and data engineering solutions
  • Develop advanced and custom predictive models (classification, regression, time series, neural networks, natural language processing, and computer vision)
  • Tune models with training, hyperparameters with comprehensive validation and testing processes

Asset Management & Capital Planning

  • Contribute to asset inventory development, condition assessment processes, and risk prioritization activities supporting water and wastewater capital planning.
  • Assist in preparing asset management and capital improvement plan documents, including risk modeling graphics, lifecycle analysis summaries, and decision-support exhibits.
  • Integrate asset, condition, and geospatial data to support longterm strategic planning for utility infrastructure.

Utility Planning, Policy Analysis & Technical Reporting

  • Support development of technical reports, planning documents, regulatory analyses, and client presentations.  
  • Assist with evaluating impacts of evolving state and federal environmental policies on client utility systems.
  • Leverage predictive models to optimize business results
  • Contribute to studies involving financial planning, rate evaluation, and longrange system needs assessment.

Professional Collaboration

  • Actively participate in HDR's employeeowned, collaborative culture by working closely with multidisciplinary teams including engineers, planners, analysts, and project managers.  
  • Communicate findings through written reports, visualizations, engineering graphics, and presentations.  
  • Maintain high standards of quality control, documentation, and analytical accuracy.

Preferred Qualifications

  • Bachelor's Degree
  • A minimum of 3 years experience in a data science role
  • Foundational knowledge or academic experience in hydraulics, environmental systems, data analytics, GIS, or related disciplines.
  • Familiarity with or academic exposure to hydraulic modeling concepts or tools.  
  • Experience with ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online.
  • Oracle Spatial or SQL Server Spatial back-end data processing experience  
  • Understanding of asset management principles such as condition assessment, risk scoring, or lifecycle planning.
  • Interest in environmental regulations and policy frameworks related to water and wastewater utilities.  

#LI-EV1

Required Qualifications
  • A degree in a closely related field or combination of education and relevant experience
  • Self-motivated, detail-oriented professional, ability to multitask a must
  • Proficiency with MS Office including Word and Outlook
  • Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas
  • Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
  • Proficiency with data science languages such as Python and R
  • Ability to handle confidential information
  • Excellent writing and people skills
  • Strong math and organizational skills
  • Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
  • Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
  • An attitude and commitment to being an active participant of our employee-owned culture is a must

What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

What HDR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

HDR logo

About HDR

Sourced by ZipRecruiter

At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Omaha, NE, US

Year founded

1917

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