Data Analyst Testing Jobs in Iowa (NOW HIRING)

What You'll Do

As a Data Analyst II, you will be a key analytics partner on a crossfunctional 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 (Non-Exempt expressed as hourly; Exempt expressed as yearly)
$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

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.
Original Posting Date
9/8/2026
Most Recently Posted Date
9/8/2026
 

Principal uses artificial intelligence tools to assist in reviewing and evaluating job applications, fraud prevention, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Workforce (U.S.) Privacy Notice for more details on our practices and your data privacy rights.

LinkedIn Hashtag

#LI-EW1Qualifications:

• 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.

Education:UNAVAILABLEEmployment Type: FULL_TIME