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Afternoon Data Analyst R Programming Jobs in Sturtevant, WI

Varsity Tutors

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Lake County, IL

Court Research and Data Analyst

Waukegan, IL · On-site

$66K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

SPSS or R). * Experience with database management and reporting protocols (e.g. SQL). * Experience ... programming, and dissemination procedures for court programs. Experience must have included ...

Pwc

Data Strategy-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Sturtevant, WI

Afternoon Data Analyst R Programming information

See Sturtevant, WI salary details

$32.9K

$80K

$131.6K

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 Sturtevant, WI is $79,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,900.00 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 cities near Sturtevant, WI are hiring for Afternoon Data Analyst R Programming jobs?

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

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Sturtevant, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $79,961 per year, or $38.4 per hour.

Senior Data Analyst - Risk Product - Hybrid

Northwestern Mutual

Milwaukee, WI • On-site

$84K - $106K/yr

Other

This job post has expired today. Applications are no longer accepted.

Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

166th of 310 rated insurance

Job description

About the Job
The Senior Data Analyst, Risk Product, will be part of the Sales Enablement function and will play a key role in helping leaders make informed, data-driven decisions. This role supports the Risk Product team by translating complex data into clear insights, meaningful reporting, and actionable recommendations that help improve business performance, strengthen processes, and support strategic decision-making.
This individual will partner closely with department leaders, business clients, product partners, and cross-functional teams to understand business questions, analyze trends, develop KPI frameworks, and create dashboards and reports that tell a clear story through data. The ideal candidate brings strong analytical capability, curiosity, and the ability to connect data insights to business outcomes.
This is a hybrid role that will require both independent analytical work and collaborative partnership with stakeholders across the organization.
What You'll Do
  • Provide quantitative and qualitative data analysis to identify patterns, trends, insights, and opportunities that support business decisions.
  • Develop reporting, dashboards, forecasts, and other analytical deliverables that help leaders understand performance and take action.
  • Use data, analytics, and metrics to evaluate business processes, identify risks or opportunities, and provide data-driven recommendations.
  • Translate complex data findings into clear written, verbal, and presentation-based insights for department leaders and business clients.
  • Produce actionable reports that highlight key performance indicators, identify areas for improvement, and support root-cause analysis.
  • Partner with stakeholders to understand business questions, user needs, current processes, and the decisions the analysis needs to support.
  • Build and maintain KPI frameworks that connect data, performance measures, and business outcomes.
  • Gather, analyze, and interpret data from multiple internal and external sources to support business questions and decision-making.
  • Apply data visualization best practices to create reports and dashboards that are clear, useful, and easy for stakeholders to understand.
  • Take initiative to design and develop analytical deliverables based on business needs, findings, and stakeholder priorities.
  • Provide consultation to business clients and participate in cross-functional efforts to address business issues.
  • Develop deep expertise in at least one business area or domain, while building a broad understanding of related business functions.
  • Support continuous improvement by sharing insights, best practices, methodologies, and standards across teams.
  • Bring creative problem-solving, curiosity, and new perspectives to improve analytical capabilities and business impact.
  • Embrace ambiguity, continuous learning, and changing business priorities while maintaining high-quality, value-driven work.
What You'll Bring to the Role
  • Bachelor's degree in Computer Science, Management Information Systems, Mathematics, Statistics, Business, or a related field.
  • 4-5+ years of professional experience, including experience in analytics, reporting, data analysis, or a related field.
  • At least 4 years of experience working in an analytics-related role.
  • At least 3 years of hands-on experience performing analytics work.
  • Experience conducting research, applying statistical techniques, developing reports, or building analytical solutions that support business decisions and outcomes.
  • Experience using analytical tools such as SQL, SAS, Microsoft Excel, SPSS, R, or similar platforms.
  • Experience with data visualization tools such as Power BI, Tableau, or similar reporting platforms.
  • Ability to access, gather, analyze, and interpret data from multiple internal and external sources.
  • Ability to identify business trends, performance drivers, root causes, and opportunities for improvement.
  • Strong communication skills with the ability to explain data insights clearly to business stakeholders.
  • Ability to serve as a subject matter expert at the department level and provide insight or analysis to broader enterprise partners when needed.
  • Strong attention to detail, business curiosity, and the ability to produce high-quality work that supports meaningful business outcomes.
Skills You Have
  • Adaptive Communication - Ability to translate data insights clearly for business stakeholders and communicate findings in a way that supports decision-making.
  • Storytelling through Data - Ability to connect insights, trends, and recommendations into a clear business narrative that helps stakeholders understand what the data means and why it matters.
  • Data Analytics - Strong technical foundation for analyzing data, identifying patterns, and developing insights that support business decisions.
  • Data Literacy - Ability to work across multiple data sources, understand data quality, interpret business meaning, and use data appropriately to answer business questions.
  • Analytical Thinking - Ability to conduct root-cause analysis, develop KPI frameworks, solve ambiguous business problems, and connect findings to actionable recommendations.
  • SQL - Hands-on ability to pull, organize, join, and model data to support reporting, dashboards, and analysis.
  • Tableau or Power BI - Ability to develop dashboards and visualizations that make data easier to understand, interpret, and act on.

Compensation Range:
Pay Range - Start:
$89,360.00
Pay Range - End:
$134,040.00
Geographic Specific Pay Structure:
Structure 110:
$98,320.00 USD - $147,480.00 USD
Structure 115:
$102,800.00 USD - $154,200.00 USD
We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.
Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

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About Northwestern Mutual

Sourced by ZipRecruiter

Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

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