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Data Modeling Jobs in Iowa (NOW HIRING)

Data Analyst II

Des Moines, IA Β· On-site

$75K - $105K/yr

Beginner/Intermediate Modeling Skills: Performs statistical modeling on existing data sets. Develop analytic models that support business initiatives. Effectively utilize sophisticated tools ...

Data Analyst II

Des Moines, IA Β· On-site

$75K - $105K/yr

Beginner/Intermediate Modeling Skills: Performs statistical modeling on existing data sets. Develop analytic models that support business initiatives. Effectively utilize sophisticated tools ...

New

Knowledge of data modeling concepts and data storage technologies, and how to extract information from these sources using query languages (SQL and/or KQL). * Experience using tools such as Excel ...

Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the ...

Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet modeling analytics to develop, test and validate models for various functions within the company.

Data Engineer

Des Moines, IA Β· On-site

$64K - $173K/yr

Hands-on experience with dimensional data modeling, schema design, and data warehousing * Hands-on experience with troubleshooting data issues * Hands-on experience with various performance ...

Showing results 21-40

Data Modeling information

See Iowa salary details

$9

$55

$78

How much do data modeling jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data modeling in Iowa is $55.15, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $64.13 per hour, depending on experience, location, and employer.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

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

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.

What are popular job titles related to Data Modeling jobs in Iowa?

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

What job categories do people searching Data Modeling jobs in Iowa look for?

The top searched job categories for Data Modeling jobs in Iowa are:

Infographic showing various Data Modeling job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,706 per year, or $55.1 per hour.

Data Analyst II

Des Moines, IA β€’ On-site

Principal Financial Group
Finance and InsuranceΒ β€’Β 51 - 200 employees

$75K - $105K/yr

Full-time

This job post hasΒ expired today.Β Applications are no longer accepted.


Job description

What You'll Do
As a Data Analyst II, you will be a key analytics partner on a cross-functional product team comprised of Data Engineering, Data Analytics, and Product Management. In this role, you will develop insights through general analytics and statistical modeling, examine and identify data patterns and trends, and deliver presentations or dashboards that support data-driven storytelling and business decisions.
  • Beginner/Intermediate Data Preparation: Utilizes best practices in data preparation, data quality, analytics, and dashboard design to provide business partners with trusted and actionable insights.
  • Beginner/Intermediate Modeling Skills: Performs statistical modeling on existing data sets. Develop analytic models that support business initiatives. Effectively utilize sophisticated tools/technologies to mine data sources providing relevant information in a consumable manner. Familiar with common statistical methods and applications (A/B testing, probability, regression).
  • Examines and identifies data patterns and trends to help answer business questions, provide insights, and improve data-driven decision making.
  • Beginner/Intermediate Decision Making and Critical Thinking: Consulting with our business partners to use the data available to investigate issues facing the business, without always having a well-defined hypothesis. Understanding of the issues related to the decision-making process; ability to analyze situations fully and accurately, and reach productive decisions.
  • Beginner/Intermediate Visualization Skills: Able to effectively articulate insights to help stakeholders answer the most critical questions. Create compelling written, numeric and visual summaries.
  • Applies data validation and quality assurance practices to ensure analytics solutions are accurate, reliable, and aligned with stakeholder expectations.
  • Design, build, maintain, and continuously improve analytics products, dashboards, and reporting solutions aligned to business and product objectives.
  • Partner with data engineers and fellow analysts throughout the analytics lifecycle to source, validate, interpret, and communicate data that supports business decisions.

Who You Are
  • Bachelor's degree in a Business, Technical, or Analytical field (e.g., Data Analytics, Statistics, Mathematics, Computer Science, Finance, Economics, or related field).
  • 2+ years of Data Analytics, Business Intelligence, or related analytical experience (e.g. mathematics, engineering or financial analysis).
  • Experience using data to solve complex business problems and influence decision making.
  • Strong verbal and written communication skills, including the ability to present complex findings to diverse audiences.
  • Proven attention to detail and commitment to data quality.
  • Demonstrated ability to collaborate across technical and business disciplines, contribute to shared solutions, and incorporate diverse perspectives.
  • Comfortable working in agile, cross-functional teams and contributing to shared team objectives.

Preferred experience with:
  • Power BI or other Business intelligence applications (Domo, Looker, Qlik, Tableau).
  • Data querying, transformation, and processing languages such as SQL, Python, Power BI DAX/M Query, or SAS.
  • Operational, enterprise, and analytical relational/non-relational data stores such as Snowflake, SQL Server, Oracle, and DB2.
  • Version control and collaborative development practices using Git, GitHub or other tools.
  • Data modeling, reporting, and self-service analytics solutions.
  • Dashboard and visualization design.
  • Data storytelling and executive-level communication.
  • Insurance industry experience.

Salary Range Information
Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Salary Range
$75000 - $105000 / year
Salary Details
The following salary ranges reflect market-specific compensation for this position across multiple job levels. Candidates will be evaluated to determine the appropriate job level based on their skills and experience.
  • Data Analyst II: $75,000 - $88,000 / year
  • Data Analyst III: $88,000 - $105,000 / year

Time Off Program
Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don't accrue a bank of time off under FTO and there is no set number of days provided.
Pension Eligible
Yes
Additional Information
Work Environments
This role is located in our Des Moines, Iowa office and offers in-office, hybrid (blending at least three office days in a typical workweek). You'll work with your leader to figure out which option may align best based on several factors.
Job level
We'll consider talent at the next level (Data Analyst III) with the right experiences and skills.
Work Authorization/Sponsorship
At this time, we're not considering candidates that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please use the following links.
Nonimmigrant Workers and Green Card for Employment-Based Immigrants
Investment Code of Ethics
For Principal Global Investors positions, you'll need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.
Experience Principal
While our expertise spans the globe, we're bound by one common purpose: to foster a world where financial security is accessible to all. And our success depends on the unique experiences, backgrounds, and talents of our employees - individually and all of us together. Explore our core values, benefits and why we're an exceptional place to grow your career.
Principal is an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Posting Window
We will accept applications for 3 full days following the Original Posting Date, after which the posting may remain open or be removed based upon applications received. If we choose to post the job again, we will accept additional applications for at least 1 full day following the Most Recently Posted Date. Please submit applications in a timely manner as there is no guarantee the posting will be available beyond the applicable deadline.
Date First Posted (TTF)
9/8/2026
Latest Post Date: Careers - US
9/8/2026
LinkedIn Hashtag
#LI-EW1