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Data Analyst Data Science Jobs in Iowa (NOW HIRING)

Align Technology, Inc.

Bachelor's or Master's degree in a relevant field such as Statistics, Mathematics, Computer Science, or a related discipline. * Minimum 2-5 years of experience in BI, data analysis, or a related role.

Tractor Zoom

Be Seen First

Senior Data Scientist

Des Moines, IA · On-site

$120K - $145K/yr

There is significant room for you to develop models and analytics ranging from time-series ... Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science or related field ...

B2E Marketing

Marketing Data Scientist

Des Moines, IA · On-site

Bachelor's degree in Data Analytics or a related field. * 25 years of experience in data science, analytics, or marketing data. * Experience with marketing data, audience targeting, or campaign ...

Genuine Parts Company

BI Data Analyst

Cedar Rapids, IA · On-site

The Inventory Data Analyst ensures all locations are properly managing inventory in order to maximize profits and customer service. This position consults company representatives on proper business ...

Deloitte

Data Scientist

Des Moines, IA · On-site

Stay up to date with the latest trends and technologies in data science and machine learning ... Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and ...

Deloitte

Data Scientist

Davenport, IA · On-site

Stay up to date with the latest trends and technologies in data science and machine learning ... Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and ...

Kellton

Imaging Data Scientist

Johnston, IA · On-site

$75/hr

The contractor will contribute to endtoend imaging and analytics from microscopy microspore ... Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to ...

Weitz

Project Controls Data Analyst

Des Moines, IA · On-site

Are you a data analyst who enjoys building dashboards and reports to deliver key insights to stakeholders? The Weitz Company is hiring a Project Controls Data Analyst to join our Operational ...

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Data Analyst Data Science information

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

As of Jun 21, 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.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

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 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

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.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

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 the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
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:
What cities in Iowa are hiring for Data Analyst Data Science jobs? Cities in Iowa with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you

Data & BI Analyst

Align Technology, Inc.

On-site

Full-time

Posted 13 days ago

Job description

We are looking for an enthusiastic and motivated BI & Data Analyst to join our EMEA Data & Analytics team.

This is a great opportunity for someone eager to learn, contribute hands-on, and grow within a collaborative and supportive environment. The role combines structured analytics work with day-to-day operational support, ensuring strong exposure across the full data lifecycle.

As a BI & Data Analyst, you will play a crucial role in extracting actionable insights from large datasets to drive informed business decisions, aiming to support the EMEA organization. Leveraging data and data visualization tools, you will contribute to the enhancement of business performance. The role involves collaborating with all members of the Data & Analytics team, supporting on operational and ad-hoc data requests as part of day-to-day business needs, interpreting complex data sets, and presenting findings in a clear and concise manner to support organizational goals.


1. Data Analysis & Business Support
a. Perform hands-on data analysis to support commercial and sales teams across EMEA
b. Investigate trends, identify issues, and help answer ad-hoc business questions
c. Support recurring reporting processes and ensure accuracy and timeliness

2. Reporting & Visualization
a. Build and maintain dashboards and reports (primarily in Power BI)
b. Translate business needs into clear, user-friendly data visualizations
c. Help improve existing reports and standardize KPIs

3. Data Preparation & Modeling
a. Write and optimize SQL queries to extract and transform data
b. Support development and maintenance of data models, dataflows, and semantic models
c. Contribute to ELT processes, ensuring efficient data transformation and integration

4. Automation & Process Optimization
a. Manage and maintain existing Power Automate flows to support business processes
b. Design and implement new automated workflows to improve efficiency and reduce manual effort

5. Team Collaboration
a. Work closely with senior analysts and stakeholders to deliver insights
b. Support ongoing projects and gradually take ownership of smaller initiatives
c. Learn from experienced team members and contribute to knowledge sharing

6. Continuous Learning & Improvement
a. Develop your technical and business skills with support from the team
b. Contribute ideas to improve reporting, processes, and data quality
c. Stay curious and proactive in understanding the business context

  • Bachelor's or Master's degree in a relevant field such as Statistics, Mathematics, Computer Science, or a related discipline.
  • Minimum 2-5 years of experience in BI, data analysis, or a related role. We are open to strong junior candidates with the right mindset.
  • Mandatory strong experience with data visualization tools such as Tableau or Power BI. Microsoft Power BI Certification would be a strong plus.
  • Advanced proficiency in Microsoft Excel, including complex formulas (e.g. INDEX/MATCH, SUMIFS), pivot tables, and automation using Power Query, Power Pivot, and macros (VBA) to streamline data processing, reporting, and repetitive tasks.
  • Proficiency in SQL, Python, R, or other programming languages commonly used in data analysis, with exposure to data modeling. Exposure to data modeling, statistical methods, and machine learning techniques.
  • Experience managing semantic models, dataflows, and supporting ELT processes.
  • Experience working with Power Automate, including maintaining existing flows and building new workflows.
  • Strong Excel skills (e.g., advanced formulas, data manipulation, analytical modeling).
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication and presentation skills. Fluent in English is mandatory, with the ability to communicate effectively at all levels of the organization.

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