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Afternoon Data Analyst R Programming Jobs in De Pere, WI

Summary As a Data Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions primarily using Google Cloud Platform (GCP) data platform ...

Data Architect (GCP)

Appleton, WI · On-site

$60.75 - $78/hr

The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization's modern ...

... analysis, and profiling * Consult with Developers, Engineers, DBAs, key departmental stakeholders, data governance and leadership on technical solutions and best practice * Monitor and audit the ...

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... This individual will perform development, analysis, testing, debugging, documentation ...

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

Partners with the Director, Data & Analytics on the Center of Excellence operating model ... Proficiency with at least one programming language for data work (Python, Scala, or equivalent ...

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

... analyst, software development or project management capacity. * An understanding of data warehousing and ETL processes. * Awareness of common programming languages such as Python, Powershell, Java ...

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

... analyst, software development or project management capacity. * An understanding of data warehousing and ETL processes. * Awareness of common programming languages such as Python, Powershell, Java ...

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Afternoon Data Analyst R Programming information

See De Pere, WI salary details

$32.8K

$79.7K

$131.1K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 27, 2026, the average yearly pay for afternoon data analyst r programming in De Pere, WI is $79,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $93,500.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in De Pere, WI?

For Afternoon Data Analyst R Programming jobs in De Pere, WI, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in De Pere, WI look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in De Pere, WI are:

What cities near De Pere, WI are hiring for Afternoon Data Analyst R Programming jobs?

Cities near De Pere, WI with the most Afternoon Data Analyst R Programming job openings:

Data Analyst Intern - U.S. AutoForce

US Venture, Inc.

Appleton, WI • On-site

Full-time

Posted 29 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 425 rated retail wholesalers


Job description

POSITION SUMMARY
We are seeking a Business Intelligence Analyst Intern for our Summer 2027 Internship Program. This intern will support our U.S. AutoForce division's finance team.
U.S. Venture's Internship Program runs May - August. Dates may vary based on individual class schedules. This position is located at our Corporate Office in Appleton, WI.
JOB RESPONSIBILITIES
  • Interpret data, analyze results using statistical techniques and provide ongoing reports

  • Acquire data from primary or secondary data sources and maintain databases/data systems

  • Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct problems

  • Use tools like Power BI to visualize data to create insightful reporting

  • Work with management to prioritize business and information needs

  • Locate and define new process improvement opportunities

QUALIFICATIONS
  • Current student pursuing a Bachelor's in Data Science, Statistics, Computer Science or related field.
  • Junior or Senior status preferred.
  • Experience with reporting packages (Tableau, Microsoft Power BI), databases, and programming (SQL, R, Python, SAS, SPSS)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Ability to write queries, generate reports, and present findings
  • Strong communication and facilitation skills
  • Good planning and organizing skills

DIVISION:
U.S. AutoForce
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.
40-40-810-8008

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