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Data Analytics Engineer Jobs in Iowa (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

AWS Data Engineer

Des Moines, IA · On-site

$111K - $134K/yr

Experience in data analysis, engineering, and solutioning. * Strong experience with AWS services and architecture development using boto3 and CloudFormation. * Experience with scheduling tools ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Showing results 21-40

Data Analytics Engineer information

See Iowa salary details

$41.8K

$121.8K

$166.7K

How much do data analytics engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data analytics engineer in Iowa is $121,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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

The most popular types of Data Analytics Engineer jobs in Iowa are:

What are popular job titles related to Data Analytics Engineer jobs in Iowa?

For Data Analytics Engineer jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Iowa look for?

The top searched job categories for Data Analytics Engineer jobs in Iowa are:

Infographic showing various Data Analytics Engineer job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,838 per year, or $58.6 per hour.

Engineer III (Operations Intelligence & Analytics) - Pella, IA

Pella, IA • On-site

Pella Corporation
Building Materials and Garden Equipment Dealers • 5 - 10K employees

$70K - $95K/yr

Full-time

Posted 7 days ago


Pella rating

7.6

Company rating: 7.6 out of 10

Based on 133 frontline employees who took The Breakroom Quiz


Job description

Summary:

We are seeking a highly skilled Operations Intelligence & Analytics Engineer to join our dynamic Intelligent Operations Team and revolutionize the way we manufacture windows and doors. In this role, you will be instrumental in empowering data-driven decision-making by transforming raw data into actionable insights through compelling visualizations and robust analysis. You will work closely with stakeholders to understand their needs, collaborate with data engineers to build required data pipelines and utilize your expertise in agile methodologies to deliver impactful solutions.

Benefits:

  • Competitive salary and benefits package.

  • Opportunity to play a key role in driving data-driven decision-making and operational excellence.

  • Collaborative and supportive work environment.

  • Exposure to cutting-edge data analysis tools and technologies.

  • Potential for career growth and advancement within a growing Intelligent Operations team.

Qualifications:

  • Education: Bachelor's or Master's degree in Data Science, Statistics, Analytics, Computer Science, or a related field.

  • Experience: Proven track record in data analysis and dashboard development, ideally in a manufacturing or industrial setting. Strong experience in working with business stakeholders and collaborating with data engineering teams.

  • Skills: Expertise in data visualization tools (e.g., Power BI, Tableau) and programming languages (Python, SQL). Familiarity with cloud platforms (Microsoft Azure), data streaming (Kafka), and data transformation tools (Databricks). Strong understanding of agile methodologies. Excellent communication and presentation skills.

  • Problem-Solving: Strong analytical and problem-solving skills with a passion for uncovering insights from complex datasets.

  • Customer Focus: Customer-centric mindset with a focus on delivering value and meeting the needs of stakeholders.

Additional Preferred Qualifications:

  • Experience with MES systems and connectivity to manufacturing processes & machines.

  • Exposure to industrial automation and robotics.

  • Familiarity with GraphQL and Oracle EBS.

Responsibilities:

  • Dashboard Development: Design and develop interactive, user-friendly dashboards using tools like Microsoft Power BI or Tableau to provide real-time visibility into key performance indicators (KPIs), production metrics, and operational efficiency.

  • Data Storytelling: Craft compelling narratives that translate complex data analysis into clear and actionable insights for stakeholders at all levels of the organization.

  • Data Exploration and Analysis: Conduct in-depth analysis of manufacturing data, identifying trends, patterns, and anomalies to uncover opportunities for optimization and process improvement.

  • Collaboration with Data Engineering: Partner with data engineers to define data requirements, ensure data quality and integrity, and build data pipelines that support analytics and reporting needs.

  • Stakeholder Engagement: Build strong relationships with business stakeholders, understand their priorities, and proactively identify and address their data and reporting needs.

  • Agile Collaboration: Thrive in an agile team environment, actively participating in sprints, backlog grooming, and daily standups to deliver value iteratively and respond to changing business needs.

  • Technical Expertise: Leverage your knowledge of Python, SQL, and other relevant tools to extract, transform, and analyze data from various sources, including Oracle EBS, PLCs, and MES.

  • Innovation: Stay abreast of the latest trends and best practices in data analysis and visualization, proactively suggesting and implementing improvements to our data-driven processes.


What Pella employees say

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About Pella

Sourced by ZipRecruiter

Pella Corporation, headquartered in Pella, IA, is an innovative leader in creating a better view for homes and businesses by designing, testing, manufacturing, and installing quality windows and doors for new construction, remodeling, and replacement applications. Founded in 1925, Pella is a family-owned and professionally managed privately held company, known for its history of innovation, making outstanding products, providing quality service, and delivering on customer satisfaction. The company is committed to incorporating new technologies, increasing productivity, and practicing environmental stewardship.

Industry

Building materials and garden equipment dealers

Company size

5,001 - 10,000 Employees

Headquarters location

Pella, IA, US

Year founded

1925