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Data Visualization Jobs in Iowa (NOW HIRING)

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 ...

Sr Analyst, Data Solution Analyst

Des Moines, IA · On-site +1

$83K - $105K/yr

Uses visualization and analysis techniques to present findings of data exploration exercises to stakeholders based on requirements gleaned. * Maps the flow of data and the business processes and/or ...

Provide data visualization to provide an expansive overview of integrated data * Create and update project control reports that highlight key performance indicators, trends, and risk factors for ...

Communicate findings and insights to technical and non-technical audiences through data visualization and presentations. * Stay up to date with the latest trends and technologies in data science and ...

Communicate findings and insights to technical and non-technical audiences through data visualization and presentations. * Stay up to date with the latest trends and technologies in data science and ...

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Data Analysis Tutor

Ames, IA · Remote

$40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Familiarity with cloud-based data environments, AI/ML concepts, and data visualization tools (Tableau, Power BI). * Ability to translate data into clear business insights and communicate effectively ...

Data Science Tutor

Ames, IA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Software Engineer - 100% Remote

Johnston, IA · Remote

$49.40 - $59.40/hr

The successful candidate will build new dashboard features, fix data rendering bugs, and maintain serverless infrastructure to enhance data visualization and reporting tools for farming operations.

New

Software Engineer - 100% Remote

Johnston, IA · Remote

$49.40 - $59.40/hr

The successful candidate will build new dashboard features, fix data rendering bugs, and maintain serverless infrastructure to enhance data visualization and reporting tools for farming operations.

New

... data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80% Job Posting End Date The salary range for ...

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Data Visualization information

See Iowa salary details

$50.7K

$102.8K

$151.7K

How much do data visualization jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data visualization in Iowa is $102,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $115,500.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

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 tools are better positioned to adapt to these technological changes.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These roles involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What are the most commonly searched types of Data Visualization jobs in Iowa? The most popular types of Data Visualization jobs in Iowa are:
What are popular job titles related to Data Visualization jobs in Iowa? For Data Visualization jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Data Visualization jobs? Cities in Iowa with the most Data Visualization job openings:

Full-time

Posted 9 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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