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Data Analyst Data Science Jobs in Clintonville, WI

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This ...

Enterprise Analytics and Data Science * Reports to: Vice President, Enterprise Analytics and Data Science * Location: Hybrid - Candidates must reside in WI, MI, MN, or IA to be considered. * Please ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

Partners with the Director, Data & Analytics on the Center of Excellence operating model ... Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related ...

Calculate, record, and report analytical data, including documenting any irregularities or deviations * Perform routine instrument maintenance and troubleshooting as needed * Maintain compliance with ...

New

Responsibilities: * Develop and maintain a comprehensive knowledge of RM systems, data ... Bachelors degree in computer science, information systems or related field. * A minimum of 6 years ...

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Data Analyst Data Science information

See Clintonville, WI salary details

$31.2K

$75.9K

$124.9K

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

As of Aug 25, 2026, the average yearly pay for data analyst data science in Clintonville, WI is $75,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $89,100.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

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.

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 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 job categories do people searching Data Analyst Data Science jobs in Clintonville, WI look for?

The top searched job categories for Data Analyst Data Science jobs in Clintonville, WI are:

What cities near Clintonville, WI are hiring for Data Analyst Data Science jobs?

Cities near Clintonville, WI with the most Data Analyst Data Science job openings:

Data Science Intern

US Venture, Inc.

Appleton, WI • On-site

Full-time

Posted 26 days ago


U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

91st of 423 rated retail wholesalers


Job description

POSITION SUMMARY
Join the U.S. Venture Data and Analytics team as a Data Science Intern for Summer 2027!
U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This position is located at our Corporate Office in Appleton, WI.
JOB RESPONSIBILITIES
  • The ideal candidate is a data enthusiast who is looking to apply data science methodologies and solutions in industry to solve real-world business scenarios.

  • The right candidate will be excited by the prospect of identifying and implementing data science solutions that support US Venture's strategic initiatives.

  • We are seeking an intern who is self-directed and will be comfortable supporting the data needs of multiple teams, systems, and products.

  • We are seeking a team player possessing strong analytical as well as technical skills and who can communicate the logic behind technical decisions to non-technical stakeholders.

  • Other duties as assigned

QUALIFICATIONS
  • Pursuing a bachelor's or advanced degree in Data Science, Statistics, Computer Science, or related field
  • Ability to build processes that support data transformation, data structures, metadata, dependency, and workload management
  • Proficiency in Python, with a strong emphasis on data manipulation and analysis using libraries such as Pandas
  • Basic understanding of machine learning concepts and algorithms
  • Demonstration of previous data science projects is preferred
  • Strong interpersonal skills and ability to work with cross-functional teams

DIVISION:
Corporate
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
99-00-821-0000

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