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Sql Data Analyst Jobs in Iowa (NOW HIRING)

State of Iowa

Data Analyst 1

Des Moines, IA · On-site

$63K - $98K/yr

Data Analyst 1 Department: Research Department, Iowa Department of Corrections (DOC) Location: Des Moines, Iowa Reports To: Research Director The Iowa Department of Corrections Research Department is ...

State of Iowa

Data Analyst 1

Des Moines, IA · On-site

$63K - $98K/yr

Data Analyst 1 Department: Research Department, Iowa Department of Corrections (DOC) Location: Des Moines, Iowa Reports To: Research Director The Iowa Department of Corrections Research Department is ...

New

Yale University

$68K - $120K/yr

Overview The Research Data Support Analyst is responsible for collecting, monitoring, and analyzing ... Experience with Power BI, Microsoft Fabric, SQL, and other Microsoft Data Management and Reporting ...

Athene

Marketing Sr. Analytics Partner

West Des Moines, IA

$100K - $124K/yr

Athene is seeking a Marketing Senior Analytics Partner to join our collaborative Marketing team ... Experience working with relational databases, SQL, data mining, and integrating data from multiple ...

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Sql Data Analyst information

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$20.2K

$82.3K

$119.3K

How much do sql data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for sql data analyst in Iowa is $82,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $93,900.00 per year, depending on experience, location, and employer.

What is an SQL data analyst?

An SQL Data Analyst is a professional who uses SQL (Structured Query Language) to extract, analyze, and interpret data stored in relational databases. They transform raw data into actionable insights by writing queries, creating reports, and visualizing trends to support business decision-making. SQL Data Analysts also help ensure data quality, optimize database performance, and collaborate with other teams to meet organizational goals.

What does an SQL data analyst do?

A SQL data analyst is a data scientist that uses the SQL language to interpret data. This analysis is used to improve business information and provide new insights to managers. Your primary responsibilities revolve around creating these analysis reports, but SQL analytical skills are in demand in many different industries, so specific duties can vary. In many positions, you may be tasked with database upkeep as well, developing infrastructure that increases system efficiency. Regarding academic qualifications, this career requires a bachelor’s degree in either computer science, electrical engineering, information technology, or statistics. Most aspiring SQL analysts gain experience through internships while pursuing their degree.

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

To thrive as a SQL Data Analyst, a strong command of SQL, data modeling, and statistical analysis is essential, often supported by a degree in computer science, statistics, or a related field. Familiarity with database management systems like Microsoft SQL Server or MySQL, as well as tools such as Excel, Tableau, or Power BI, is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Analytical thinking, attention to detail, and effective communication stand out as key soft skills for interpreting data and explaining results to stakeholders. These competencies enable accurate data-driven decision-making, efficient data management, and clear insights that support organizational goals.

How does a SQL data analyst typically collaborate with cross-functional teams to deliver insights?

As a SQL Data Analyst, collaboration with cross-functional teams such as product managers, engineers, and business stakeholders is a key part of the role. Analysts often gather requirements from these teams, translate business questions into data queries, and present actionable insights through reports or dashboards. Regular meetings and clear communication are essential to ensure that analysis aligns with business objectives and that results are understood and actionable. This collaborative approach not only improves data-driven decision-making but also provides analysts with valuable context, enhancing the impact of their work.

What is the difference between Sql Data Analyst vs Data Engineer?

AspectSql Data AnalystData Engineer
Required SkillsSQL, data visualization, reportingSQL, programming, data pipeline development
CertificationsSQL certifications, data analysis coursesCloud certifications, programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData infrastructure teams, software engineering environments
Industry UsageFinance, marketing, healthcareTech, finance, large-scale data platforms

Sql Data Analysts focus on interpreting data, creating reports, and visualizations using SQL. Data Engineers build and maintain data pipelines and infrastructure to support data analysis. While both roles require SQL skills, Data Engineers typically have programming expertise and work on data architecture, whereas Sql Data Analysts concentrate on analyzing and presenting data insights.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often essential for performing data queries, creating reports, and supporting data-driven decision-making in many organizations.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often required for data analysis roles, alongside skills in data visualization and statistical tools.

Does SQL pay well?

Data analysts who use SQL often earn competitive salaries, especially with experience and proficiency in database management, data visualization, and analytics tools. Salaries vary by industry and location but generally reflect the demand for data skills in the job market.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the widespread need for data management and analysis. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Skills in SQL, data visualization, and critical thinking remain essential, as AI tools are used to augment rather than replace human judgment in data analysis.
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Sql Data Analyst jobs near you
Infographic showing various Sql Data Analyst job openings in Iowa as of August 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,254 per year, or $39.5 per hour.

Policy Administration Data Analyst Manager

EQUITRUST

West Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 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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