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Afternoon Data Analyst R Programming Jobs in Oak Creek, WI

Senior Data Analyst

Milwaukee, WI ยท Hybrid

$84K - $106K/yr

Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI. * Strong data collection, quality assurance, and analytical skills to ensure accurate and reliable ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

... programming languages. *This is not a remote role, the ideal candidate will need to be located in ... R, Python, SQL). * Experience on using the cloud platform (ex Azure, AWS..) * Experience with ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Proficient in analytical and statistical tools (e.g., Python, R, SAS). * Solid understanding of CRM ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Proficient in analytical and statistical tools (e.g., Python, R, SAS). * Solid understanding of CRM ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Proficient in analytical and statistical tools (e.g., Python, R, SAS). * Solid understanding of CRM ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$95 - $130/hr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Proficient in analytical and statistical tools (e.g., Python, R, SAS). * Solid understanding of CRM ...

Data Analyst II Waukesha, WI, USA, 53188 $21.60/hr on w2 12/12/2016 to 06/16/2017 Global Services ... life cycle, engineering, and sourcing teams while learning about part process flows and part ...

Business Data Analyst

Milwaukee, WI ยท On-site

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

Business Data Analyst

Milwaukee, WI ยท On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

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Afternoon Data Analyst R Programming information

See Oak Creek, WI salary details

$32.4K

$78.8K

$129.7K

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

As of Aug 19, 2026, the average yearly pay for afternoon data analyst r programming in Oak Creek, WI is $78,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $92,500.00 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 Oak Creek, WI?

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

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

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

What cities near Oak Creek, WI are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Oak Creek, WI with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Oak Creek, WI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,842 per year, or $37.9 per hour.

Senior Data Analyst

TIER4 GROUP

Milwaukee, WI โ€ข Hybrid

$84K - $106K/yr

Full-time

Re-posted 11 days ago


Job description

Title: Sr Data Analyst

Location: Milwaukee, WI

Type: Hybrid (3 days onsite per week)

Duration: ASAP - May 2025

Perks: Competitive Rates, Benefits, Free Daily Lunch When Onsite


Role Summary

This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The role focuses on analyzing campaigns, understanding business processes, and distributing insights via dashboards. You will collect, validate, and deeply analyze data to uncover insights that drive marketing decisions, ensuring alignment with key objectives and results (OKRs). This is not a traditional BI role but one that requires critical thinking, asking the right questions, and leveraging data to move marketing initiatives forward.


Key Responsibilities

  • Develop and deliver user-friendly dashboards and reports to provide actionable insights and recommendations.
  • Perform data collection, QA checks, and in-depth analysis to understand and improve marketing campaigns and business processes.
  • Ask insightful questions to uncover underlying data trends and inform strategic marketing decisions.
  • Conduct campaign and business analysis, using data to identify opportunities and drive forward marketing objectives.
  • Partner with stakeholders to translate findings into meaningful strategies and plans.


Technical Skills and Requirements

  • Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.
  • Strong data collection, quality assurance, and analytical skills to ensure accurate and reliable insights.
  • Proven experience conducting deep data dives to support decision-making.
  • Ability to grasp and analyze complex business processes and campaign performance.


Must-Haves

  • Expertise in research and data analysis with a proven track record of delivering actionable insights.
  • Ability to systematically gather, evaluate, and interpret data to uncover patterns and trends.
  • Strong communication skills to present findings effectively to stakeholders.
  • A results-driven mindset, with the ability to manage multiple priorities and meet deadlines.


Ideal Candidate Traits

  • A proactive approach to problem-solving, with curiosity and creativity to explore beyond routine tasks.
  • Experience in marketing-focused analysis, including campaign performance evaluation.
  • A collaborative and inclusive attitude, with a willingness to mentor and share insights with peers.


This role offers an exciting opportunity to blend data science with marketing strategy, driving impactful decisions and contributing to organizational success.