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Volunteer Data Visualization Analyst Jobs in Wisconsin

Generac

Data Science Analyst

Waukesha, WI

Ability to write complex SQL queries, data visualization * Proficiency in database applications and MS Office with excellent Excel skills. * Requires excellent analytical, organization, project ...

Continuus Technologies LLC

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Experience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.) * Strong analytical reasoning and problem-solving skills * Ability to clearly communicate insights to technical ...

Shine United

Data Analyst

Madison, WI · On-site

Experience with data visualization tools (TapClicks preferred). * Working knowledge of paid media ... Experience with server-side analytics platforms. * Exposure to marketing mix modeling or advanced ...

Shine United

Data Analyst

Madison, WI · On-site

Experience with data visualization tools (TapClicks preferred). * Working knowledge of paid media ... Experience with server-side analytics platforms. * Exposure to marketing mix modeling or advanced ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Develop visualization of analysis output for business users and publish results under the direction ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Develop visualization of analysis output for business users and publish results under the direction ...

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Volunteer Data Visualization Analyst information

Where can I volunteer as a data analyst?

Volunteer data visualization analysts can find opportunities through nonprofit organizations, community projects, or online platforms like Catchafire and DataKind that connect volunteers with data-related projects. These roles often require skills in data analysis tools such as Excel, Tableau, or Power BI and may involve flexible schedules or remote work.

What is the difference between Volunteer Data Visualization Analyst vs Data Analyst?

AspectVolunteer Data Visualization AnalystData Analyst
Required CredentialsTypically relevant skills, certifications in data visualization tools (e.g., Tableau, Power BI)Often requires a degree in data science, statistics, or related fields
Work EnvironmentVolunteer settings, non-profits, community projectsCorporate, government, or organizational environments
Employer & Industry UsageNon-profit organizations, NGOs, community groupsBusinesses, government agencies, consulting firms
Common Search & Comparison IntentUnderstanding volunteer roles in data visualizationProfessional data analysis careers

The Volunteer Data Visualization Analyst focuses on creating visual data representations in volunteer or non-profit settings, often with less formal credentials. In contrast, Data Analysts typically work in professional environments requiring specific degrees and broader data analysis skills. Both roles involve data visualization, but their work contexts and credential requirements differ.

Is 40 too late for data science?

For a Volunteer Data Visualization Analyst or similar data roles, starting a career in data science at age 40 is feasible, especially with relevant skills like data analysis, visualization tools, and programming languages such as Python or R. Many professionals transition into data roles later in life, and experience can be an asset; continuous learning and certifications can enhance employability regardless of age.

Can I start data analyst with no experience?

A Volunteer Data Visualization Analyst role typically requires some knowledge of data analysis tools like Excel, Tableau, or Power BI, but many entry-level positions or volunteer opportunities are open to beginners. Gaining relevant skills through online courses, tutorials, or certifications can help you start with little to no experience, especially in volunteer or internship settings where practical skills are prioritized over formal credentials.

Will AI replace a data analyst?

AI can automate routine data processing and visualization tasks, but a data visualization analyst's role involves interpreting data contextually and communicating insights, which currently requires human judgment. While AI tools enhance efficiency, the role still relies on analytical skills, critical thinking, and domain knowledge that are difficult to fully automate.
What are popular job titles related to Volunteer Data Visualization Analyst jobs in Wisconsin? For Volunteer Data Visualization Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Volunteer Data Visualization Analyst jobs in Wisconsin look for? The top searched job categories for Volunteer Data Visualization Analyst jobs in Wisconsin are:
Volunteer Data Visualization Analyst jobs near you

Data Science Analyst

Generac

Waukesha, WI

Full-time

Posted 23 days ago

Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

351st of 487 rated machine equipment manufacturers

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.


Ready to Power a Smarter World with us?


In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.

The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.

*This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters*

Minimum Qualifications:

  • Bachelor Degree

  • 1 year work experience in Math, Statistics, or Computer Science

Preferred Qualifications:

  • Relational database experience & Experience query databases (ex: SQL, MySql).

  • Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).

  • Experience with statistical analysis languages (ex: R, Python, SQL).

  • Experience on using the cloud platform (ex Azure, AWS..)

  • Experience with building agents using Microsoft CoPilot, and other solution paths

Essential Duties:

  • Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases

  • Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

  • Translating business requirements; informing data/information needs and data collection methods

  • Create custom data models & create pipelines and algorithms as needed & produce Data insights

  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

  • Supporting end-users; and documenting processes and deliverables

  • Ongoing reports highlighting the initiative progress and successes.

Knowledge and Skills:

  • Ability to write complex SQL queries, data visualization

  • Proficiency in database applications and MS Office with excellent Excel skills.

  • Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.

  • Ability to simplify complex findings to develop unique, practical solutions.

  • Able to understand various data structures and common methods in data transformation.

  • Excellent pattern recognition and predictive modeling skills.

  • Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.

  • Self-motivated and able to work with minimal direction

#LI-BB1

Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionallylift upto 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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