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Internship Data Visualization Jobs in Missouri (NOW HIRING)

Accounting Analyst

Saint Louis, MO · On-site

$58K - $76K/yr

... internship(s) * Good analytical and problem-solving skills * Experience in data analytics, data visualization, and web development * Proficiency in data interpretation and manipulation of large ...

$58K - $99K/yr

... interns and student workers as needed. Primary Duties & Responsibilities: GIS Operations & Data ... Analysis & Visualization * Create maps, dashboards, reports, and web applications. * Perform ...

Integrate data from multiple sources into actuarial and financial client reports and deliverables ... Prepare spreadsheets, graphs, charts, and other visualization tools to clearly communicate health ...

... reconcile data for accuracy and consistency. • Integrate data from multiple sources into ... other visualization tools to clearly communicate healthcare-related insights to clients. • ...

Showing results 21-40

Internship Data Visualization information

What types of projects and tools can I expect to work with during a data visualization internship?

As a Data Visualization intern, you will typically collaborate with data analysts and business stakeholders to create visual representations of complex datasets. You can expect to work on projects such as interactive dashboards, infographics, and reports using tools like Tableau, Power BI, or open-source libraries such as D3.js and Plotly. Interns often assist in cleaning and preparing data, designing visual layouts, and presenting findings to team members. This role offers valuable exposure to both technical and creative aspects of data storytelling, and provides a strong foundation for future roles in data analytics or visualization.

What is an internship data visualization?

Internship data visualization roles are entry-level positions where interns learn to create visual representations of data to help organizations make data-driven decisions. These roles typically involve working with tools like Tableau, Power BI, or Python libraries to turn raw data into charts, graphs, and dashboards. Interns gain hands-on experience by assisting with data cleaning, analysis, and reporting tasks, while learning best practices in presenting complex information clearly and effectively. These internships are a great way for students and recent graduates to develop technical and analytical skills in a real-world setting.

What is the difference between Internship Data Visualization vs Data Analyst Intern?

AspectInternship Data VisualizationData Analyst Intern
Required SkillsData visualization tools, basic analytics, programming (e.g., Excel, Tableau, Power BI)Data analysis, statistical skills, programming (e.g., SQL, Python), visualization
Work EnvironmentProject-based, collaborative teams, entry-levelData-focused projects, cross-departmental collaboration, entry-level
Industry UsageMarketing, finance, tech, researchBusiness, finance, healthcare, tech

Internship Data Visualization focuses on creating visual representations of data to communicate insights, often using tools like Tableau or Power BI. Data Analyst Interns perform broader data analysis, including statistical evaluation and data cleaning. Both roles are entry-level, require basic technical skills, and are used across various industries. The main difference lies in the emphasis: visualization versus comprehensive data analysis.

What are the key skills and qualifications needed to thrive as an internship data visualization, and why are they important?

To thrive as an Internship Data Visualization, you need a solid understanding of data analysis, basic statistics, and proficiency with visualization concepts, often supported by coursework in computer science, statistics, or related fields. Familiarity with tools such as Tableau, Power BI, Excel, or programming languages like Python (with libraries such as Matplotlib or Seaborn) is typically expected. Attention to detail, creativity, and effective communication skills help interns present data insights clearly to diverse audiences. These skills ensure that data-driven stories are accurately and compellingly conveyed to support decision-making.
What are the most commonly searched types of Data Visualization jobs in Missouri? The most popular types of Data Visualization jobs in Missouri are:
What cities in Missouri are hiring for Internship Data Visualization jobs? Cities in Missouri with the most Internship Data Visualization job openings:

People Team Analyst

Paper Converting Machine

Saint Louis, MO • On-site

Full-time

Re-posted 15 days ago


Job description

About Us:


 

Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world.


 

Job Description:

This is an opportunity to make a meaningful impact across the full breadth of our People organization. As a People Team Analyst, you will serve as part of the analytical backbone for our central People functions - including Talent, Organizational Design, Recruiting, People Analytics, and Strategic Workforce Planning - translating strategic questions into clear, data-driven methodology and answers. Each year, you will also play a key role in supporting the CHRO's annual strategic plan, providing data to ensure our most important people decisions are grounded in rigorous analysis.

About the Role

This role communicates directly with leaders across the People team, helping to define the right questions, then designing the right analyses and communicating back those findings with support from our Leader of Compensation and Workforce Planning. The ideal candidate brings a strong analytical or scientific foundation, the intellectual curiosity to ask "what are we really trying to understand?", and the communication skills to make that understanding accessible to everyone.

Principal Duties and Responsibilities (Essential Functions):

  • Partner with leaders across People functions to understand their analytical needs, clarify the core business question being asked, and determine what data and methodology is required to answer it.
  • Design and conduct analyses - primarily using Excel and Power BI - that address workforce and organizational questions related to talent, recruiting, org design, workforce planning, and broader people strategy.
  • Support the CHRO's annual strategic planning process by compiling, analyzing, and synthesizing people data into insights that inform enterprise-level decisions.
  • Translate analytical findings into plain-language narratives and clear visualizations.
  • Identify the right analysis and the right question with guidance and support; advise stakeholders on what conclusions the data can and cannot support.
  • Ensure data accuracy by cleaning, validating, and preprocessing data from HRIS and other people systems.
  • Maintain recurring reports, dashboards, and metrics that track key workforce indicators across the People team's areas of responsibility.

Job Specifications:

  • Consultative listening skills to draw out the real question behind a data request and align on what success looks like before the analysis begins.
  • Strong analytical reasoning to match the right methodology to the right question, and to know the limits of what the data can and cannot tell us.
  • Clear, plain-language communication skills to explain findings to non-technical audiences without oversimplification.
  • Storytelling ability to present data in a compelling, structured narrative that leads to a clear recommendation or action.
  • Intellectual curiosity and comfort with ambiguity - this role frequently works on questions that don't yet have a defined answer or a clear path to one.
  • Attention to detail and commitment to data accuracy and integrity.
  • Organizational and time management skills to handle concurrent requests from multiple stakeholders.

Required Education and Experience:

  • Bachelor's degree in a quantitative or analytically rigorous field such as Mathematics, Natural Science, Statistics, Economics, Psychology (research-focused), Industrial-Organizational Psychology, Data Science, or a related discipline.
  • 2+ years of experience in a data analysis or research role; internship or academic research experience will be considered.
  • Advanced proficiency in Microsoft Excel (advanced formulas, visualizations, data modeling).
  • Basic proficiency in AI tools to enable workflows (LLMs, Agents, etc.)
  • Familiarity with Power BI or other data visualization tools preferred.
  • Strong written and verbal communication skills - experience presenting findings to stakeholders preferred.
  • Experience with HRIS systems, especially Workday, is a plus.

Supervisory/Responsibility:

Individual contributor with no direct reports

#LI-EA1


 

At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work-therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process.

Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify.


 

Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments.


Company:

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