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Data Analyst Data Science Jobs in Iowa (NOW HIRING)

Jobtailor

Director, Data Management

Des Moines, IA · On-site

$170 - $250/hr

Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access * Prioritize and manage the enterprise data portfolio and align investments with ...

Riverhead Resources

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the following areas: * Proficiency in Python (including pandas and data manipulation libraries) and/or R

Feed Energy

AI & Data Intern

Pleasant Hill, IA

$25/hr

Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the following areas: * Proficiency in Python (including pandas and data manipulation libraries) and/or R

Feed Energy

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the following areas: * Proficiency in Python (including pandas and data manipulation libraries) and/or R

Aegon

Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment: * Architect, build, and support the operation of Cloud and On ...

Kemper

Senior Data Systems Analyst

Des Moines, IA

$83K - $105K/yr

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field; equivalent work experience considered. * 6+ years of experience in one or more of ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Iowa

Data Analyst Data Science information

See Iowa salary details

$14

$37

$65

How much do data analyst data science jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analyst data science in Iowa is $37.93, according to ZipRecruiter salary data. Most workers in this role earn between $27.36 and $45.96 per hour, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

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

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

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science 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 $78,895 per year, or $37.9 per hour.

Director, Data Management

Jobtailor

Des Moines, IA • On-site

$170 - $250/hr

Other

Posted 7 days ago

Job description

  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization
  • Oversee migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using medallion architecture
  • Lead and mentor data engineers and guide the onsite and remote data engineering team
  • Partner with enterprise data and solution architects on data models, pipelines, and platform design
  • Transform a fragmented data ecosystem into a single source of truth for insurance domains
  • Drive cloud-native engineering best practices, including ETL/ELT optimization, CI/CD, DevOps, cost efficiency, and observability
  • Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives
  • Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access
  • Prioritize and manage the enterprise data portfolio and align investments with business value and strategic initiatives
  • Manage budget, resourcing, and vendor relationships
  • Evolve the platform roadmap based on emerging technologies such as Databricks, streaming, and AI/ML
  • Own the Databricks platform and guide business users on Lakehouse adoption
  • Report to the Chief Data & Analytics Officer
Requirements
  • Expertise with Azure Data Services, including Data Lake, Data Factory, Synapse, Event Hub, and Key Vault
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap
  • Excellent communication and leadership skills to influence technical and business stakeholders
  • Familiarity with DAMA/DMBOK practices and standards
  • Familiarity with streaming/real-time ingestion, including Kafka and Event Hub, required
  • 10+ years of experience in data engineering, architecture, or platform leadership
  • At least 5 years of team management experience
  • Insurance or financial services experience required
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems using Databricks or Snowflake
  • Hands-on experience with Databricks Lakehouse, PySpark, Delta Lake, and Unity Catalog
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing
  • Experience with compliance regulations and handling PHI/PII data
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake
  • Experience with DevOps and automation frameworks, including Azure DevOps, Terraform, and GitHub Actions
  • Bachelor's degree in computer science, business/data analytics, management information systems, information technology, or related field; combination of education and/or relevant work experience may be accepted in lieu of degree

Demonstrates expertise in defining and executing enterprise data platform strategies, with a strong focus on Azure Data Services, Databricks Lakehouse, and data modernization. Proven ability to lead teams, manage budgets, and drive cloud-native engineering best practices while ensuring data availability and compliance.

Highest-signal resume keywords
  • Azure Data Services
  • Databricks Lakehouse
  • Data Engineering Leadership
  • ETL/ELT Optimization
  • Insurance Domain Experience
ATS Optimization KeywordsHard Skills
  • Data Modeling
  • PySpark
  • Delta Lake
  • Unity Catalog
  • CI/CD
  • DevOps
  • ETL Frameworks
  • Data Warehousing
  • Streaming Ingestion
  • Compliance Regulations
Soft Skills
  • Leadership
  • Communication
  • Team Management
  • Stakeholder Influence
  • Collaboration
Industry Keywords
  • DAMA/DMBOK
  • Data Modernization
  • PHI/PII Data
  • Financial Services
  • Insurance
Tools & Technologies
  • Azure Databricks
  • Azure SQL Server
  • Azure Data Factory
  • Azure Synapse
  • Event Hub
  • Azure DevOps
  • Terraform
  • GitHub Actions
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