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Data Analyst Jobs in Iowa (NOW HIRING)

Senior Data Systems Analyst

Des Moines, IA ยท On-site

$83K - $105K/yr

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

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Data Analyst information

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$31.9K

$77.6K

$127.7K

How much do data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst 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.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the most commonly searched types of Data Analyst jobs in Iowa?

The most popular types of Data Analyst jobs in Iowa are:

What cities in Iowa are hiring for Data Analyst jobs?

Cities in Iowa with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Iowa as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $77,621 per year, or $37.3 per hour.

Policy Administration Data Analyst Manager

EQUITRUST

West Des Moines, IA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

About Us:
EquiTrust Life Insurance Company is a national carrier of competitive, client-friendly annuity products sold through a variety of distribution channels, including more than 20,000 independent agents and independent marketing organizations (IMOs). Since 2003, we have provided exceptional customer service to our clients by operating with integrity and passion. Our efforts are supported by a dedicated workforce who execute their responsibilities through teamwork and an entrepreneurial spirit. EquiTrust sells products nationwide and is headquartered in Chicago, Illinois, with operations in West Des Moines,
How You'll Contribute
As a Policy Administration Data and Analytics Manager, you will lead the reporting, analytics, and performance insights function within Policy Administration. You will be responsible for overseeing a team of data and analytics professionals, developing reporting strategies, ensuring data accuracy and governance, and delivering actionable insights that support policy issuance, maintenance, servicing, and operational decision-making. This role works closely with Operations, New Business, Compliance, Technology, Customer Service, Sales, Marketing, and external vendor partners to drive operational efficiency, support strategic planning, and enhance customer and policyholder experiences. We are looking for candidates who are passionate about data-driven decision-making, process improvement, and operational excellence and bring strong leadership, analytical, reporting, and stakeholder management skills to the team.
What You'll Do
  • Lead, coach, and develop a team of data analysts and associates.
  • Manage team performance, workload prioritization, hiring recommendations, and professional development activities.
  • Oversee the design, automation, enhancement, and maintenance of operational dashboards and reporting solutions.
  • Ensure reporting metrics accurately reflect policy activity, workflow volumes, capacity, and performance trends.
  • Review and validate reporting outputs for accuracy, consistency, and usability.
  • Analyze policy administration data to identify trends, risks, variances, and process improvement opportunities.
  • Translate analytical findings into actionable business recommendations.
  • Support audits, compliance initiatives, and regulatory reporting requirements.
  • Establish and maintain data governance and data quality processes.
  • Lead reporting and analytics efforts supporting IVR, Contact Center, and client-facing website operations.
  • Monitor digital self-service adoption and identify opportunities to improve customer experience and operational efficiency.
  • Partner with business stakeholders to gather requirements and deliver meaningful reporting and insights.
  • Provide leadership with ad hoc analyses and strategic recommendations to support decision-making and operational planning.
  • Support departmental and company initiatives as needed.

What You'll Bring
Education
Required:
  • High School Diploma

Preferred:
  • Bachelor's degree in Business, Marketing, Statistics, Data Science, Data Analytics, or a related field.

Experience
  • Minimum 5 years of policy administration or insurance operations experience with a focus on data analysis and reporting.
  • Experience developing operational dashboards and managing data workflows.
  • Power BI experience required.
  • Minimum 3 years of supervisory or people leadership experience.
  • Experience within life insurance, annuities, financial services, or other regulated industries preferred.

Knowledge, Skills, and Abilities
  • Strong proficiency with data visualization tools such as Power BI, Tableau, or Looker.
  • Advanced Excel skills and working knowledge of SQL.
  • Experience with CRM platforms (e.g., Salesforce) and marketing tools (e.g., HubSpot, Marketo).
  • Ability to manage multiple projects and meet deadlines in a fast-paced environment.
  • Excellent communication and presentation skills, including the ability to explain complex data to non-technical audiences.
  • Advanced analytical, mathematical, organizational, and critical-thinking skills.
  • Strong understanding of data analysis, databases, reporting tools, and system integrations.
  • Advanced problem-solving and decision-making capabilities.
  • Ability to adapt to changing priorities and business needs.
  • Strong interpersonal skills, professionalism, and commitment to customer service.
  • Demonstrated ability to lead teams and collaborate effectively across departments.

Physical Requirements
  • Occasionally lift or carry up to 20 pounds.
  • Frequent sitting, computer use, fine hand manipulation, and visual concentration.
  • Frequent verbal communication and hearing.
  • Occasional standing, walking, bending, stooping, reaching, and pushing/pulling.
  • Infrequent travel (less than 5%).
  • Ability to perform work primarily in an office or remote environment.

Total Rewards:
In addition to base pay, eligible employees may receive an annual discretionary incentive bonus and access to a competitive benefits package including:
  • Medical, Dental & Vision coverage:
  • 401(k) with Company Match
  • Paid time off: Vacation, Sick, Holiday, and more
  • Paid Parental Leave for both Mothers and Fathers
  • Hybrid/Remote Work Options
  • Early Friday Closure

EquiTrust is an Equal Opportunity Employer and participates in the U.S. Federal E-Verify program. Applicants have rights under federal and state employment laws. To learn more, visit EquiTrust Careers.
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