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Data Analyst Project Manager Jobs in Iowa (NOW HIRING)

Pwc

Data Strategy-Manager

Des Moines, IA · On-site

$99K - $232K/yr

This role offers the chance to work with innovative technologies and collaborate on transformative projects that shape the future of data management and analytics. Responsibilities - Lead the ...

Von Maur

CONSTRUCTION PROJECT MANAGER

Davenport, IA · On-site

As a Construction Project Manager , you support the Operations team with coordinating all aspects ... Analyze project bids and negotiate pricing; prepare construction documents and provide ...

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All JobsData Analyst Project Manager JobsData Analyst Project Manager Jobs in Iowa

Data Analyst Project Manager information

See Iowa salary details

$31.9K

$77.6K

$127.7K

How much do data analyst project manager jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data analyst project manager in Iowa is $77,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

Who earns more, BA or PM?

In the context of a Data Analyst Project Manager role, project managers typically earn higher salaries than business analysts due to greater responsibilities, leadership requirements, and experience levels. Salaries can vary based on industry, location, and certifications like PMP, but project managers generally have higher compensation than business analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst Project Manager, and why are they important?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

What is a data analyst project manager?

A data analyst project manager is a professional who combines data analysis skills with project management responsibilities. They oversee data-related projects, coordinate teams, ensure timely delivery, and use tools like Excel, SQL, or project management software to meet organizational goals.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

Can a project manager become a data analyst?

A project manager can transition to a data analyst role by developing skills in data analysis tools such as Excel, SQL, and statistical software, along with understanding data visualization and interpretation. Prior experience in managing projects can be valuable, but acquiring technical skills and relevant certifications is often necessary for the switch.

How do Data Analyst Project Managers typically balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

Is 40 too late for data science?

For a Data Analyst Project Manager, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in project management and domain knowledge can also be valuable assets in transitioning to data science roles, which often value diverse backgrounds and continuous learning. Certifications in data science tools like Python, R, or SQL can enhance employability regardless of age.
What are popular job titles related to Data Analyst Project Manager jobs in Iowa? For Data Analyst Project Manager jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Data Analyst Project Manager jobs in Iowa look for? The top searched job categories for Data Analyst Project Manager jobs in Iowa are:
What cities in Iowa are hiring for Data Analyst Project Manager jobs? Cities in Iowa with the most Data Analyst Project Manager job openings:
Data Analyst Project Manager jobs near you

Data Center Commissioning Project Manager

CAI

Des Moines, IA • On-site

$128K - $150K/yr

Full-time

Medical, Life, PTO

Posted 26 days ago

Job description

*THIS IS NOT A DATA ENGINEERING RELATED POSITION*
 
Position Description:
Your responsibilities as a Data Center Cx PM will include:
Working with project teams at client sites to inspect, test, and troubleshoot data center/ building commissioning facilities and/ or equipment. This person is responsible for identifying and coordinating activities for commissioning and reporting. The Project Manager will be the POC with client (data center/ building commissioning companies) personnel and the Regional Manager. The Project Manager will execute the work as well as oversee it. Electrical and/or Mechanical commissioning experience is required.
 
Requirements include:
Position Requirements:
BS in an electrical, mechanical, engineering field or equivalent experience
5-10+ years or more of experience in commissioning and qualification in the Data Center industry, Leading large (minimum of 4 megawatts) projects/facilities. Comfort in the Construction industry (managing vendors, clients, subcontractors) is a plus.
Experience with commissioning plans/test scripts, schedules, budgets, change orders and summary reports is desired.
Experience managing multi-disciplinary teams with full commissioning responsibility is desired.
 
Other Requirements:
Excellent oral and written communication skills in English
Able to travel domestically and internationally as required 
Able to work (paid) overtime 
Able to work in the US without sponsorship now or any time in the future. 
 
About CAI
CAI is established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries.
 
Are You Ready?
Our approach is simple; we put the client's interests first, we do not stop until it is right, and we will do whatever it takes to get there.
We are committed to living our Foundational Principles, both professionally and personally:
We act with integrity
We serve each other
We serve society
We work for our future
 
Benefits
Our full-time positions offer competitive compensation and benefits which include: 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company.
 
CAI Operations DCx Managers will be exposed to cutting edge technologies in the Hyperscale and other spaces. You will have an opportunity to work with recognized subject matter experts allowing YOU to be a key player in bringing data technologies to market. As part of our company culture, we invest in YOUR future, and commit to hands on certifications as well as professional training. Our collaborative culture ensures that our customers benefit from exemplary work across our entire range of professional services.
#LI-MV1 #MISSIONCRITICAL
$128,300 - $150,800 a year
Average salary range, not including benefits or compensatory time and possible discretionary bonuses.
 
CAI Benefits:
Comprehensive Health Insurance coverage
24 days of Paid Time Off
Company paid Life Insurance
Company paid Long Term Disability
We are an equal opportunity employer; we are proud to employ veterans and promote diversity and inclusion in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all - our employees, our customers, and the broader society.
 
This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO). 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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