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Afternoon Data Analyst R Programming Jobs in Waunakee, WI

Data Scientist

Madison, WI · On-site +1

$90K - $120K/yr

... SQL (R is a plus) on large, cloud-based datasets (Snowflake), this is the role for you. While ... Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics ...

Strong proficiently in data analysis tools (e.g., SQL, Python, R, Excel) and visualization techniques/software (e.g. Power BI, Tableau) * Proven experience in developing and implementing data ...

Responsibilities * Develop and execute engineering test plans (DVP&R) to validate product ... Collect, analyze, and interpret engineering test data and present findings and recommendations ...

Responsibilities * Develop and execute engineering test plans (DVP&R) to validate product ... Collect, analyze, and interpret engineering test data and present findings and recommendations ...

Responsibilities * Develop and execute engineering test plans (DVP&R) to validate product ... Collect, analyze, and interpret engineering test data and present findings and recommendations ...

Improve operations by conducting systems analysis; recommending changes in policy and procedures ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

Improve operations by conducting systems analysis; recommending changes in policy and procedures ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

... business analytics and data science. - Collaborate with stakeholders to translate business requirements into robust data solutions. - Implement CI/CD, DevOps practices, and automated deployment ...

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Showing results 21-40

Afternoon Data Analyst R Programming information

See Waunakee, WI salary details

$34.8K

$84.5K

$139.1K

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

As of Sep 12, 2026, the average yearly pay for afternoon data analyst r programming in Waunakee, WI is $84,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,200.00 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 Waunakee, WI?

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

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

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Waunakee, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $84,507 per year, or $40.6 per hour.

Ecommerce Data & Analytics Engineer

Cottage Grove, WI • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Description

WHO WE ARE

Johnson Health Tech is one of the world's largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide.


Mission Statement: To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization.


POSITION OVERVIEW

Johnson Fitness & Wellness is seeking an Ecommerce Data & Analytics Engineer to develop and maintain the data infrastructure, reporting systems, and analytics capabilities supporting our ecommerce and omnichannel business. This position is responsible for integrating data across ecommerce, website analytics, CRM, marketing, retail POS, ERP, and operational systems to create a centralized and reliable view of business and customer performance.


The successful candidate will have demonstrated experience building scalable data pipelines and reporting solutions, with the ability to translate complex datasets into actionable business insights. This position will work closely with ecommerce, digital product, marketing, CRM, retail operations, merchandising, and leadership teams to improve visibility into the customer journey, identify growth opportunities, and support data-driven decision making.


RESPONSIBILITIES

Data Engineering & Integration

Build and maintain scalable data pipelines that connect ecommerce, website analytics, CRM, marketing, POS, ERP, advertising, attribution, and operational systems

Develop and maintain ETL/ELT processes to automate data ingestion, transformation, normalization, and reporting

Establish reliable data models, schemas, and reporting standards to improve data consistency and accuracy

Integrate APIs and third-party data sources into centralized data and reporting environments

Monitor data pipelines and reporting processes to identify and resolve data quality, reliability, and performance issues

Maintain documentation for data sources, definitions, integrations, and reporting structures


Reporting & Analytics

Build and maintain centralized dashboards and reporting systems supporting ecommerce, customer lifecycle, retail showroom, marketing, product, and category performance

Combine behavioral, transactional, marketing, and operational data to create a more complete view of business performance

Develop reporting for key ecommerce metrics including traffic, product engagement, add-to-cart activity, checkout behavior, conversion, revenue, average order value, and product performance

Develop customer and lifecycle reporting incorporating CRM, email engagement, segmentation, attribution, and purchase behavior

Create reporting that improves visibility into retail and ecommerce performance across digital and physical customer touchpoints

Identify trends, anomalies, performance gaps, and growth opportunities and communicate findings to business stakeholders


Ecommerce & Customer Journey Analytics

Analyze the customer journey across website, ecommerce, marketing, CRM, retail, and post-purchase experiences

Identify friction points and customer drop-off throughout product discovery, add-to-cart, checkout, purchase, delivery, and retention journeys

Partner with ecommerce and digital product teams to identify conversion rate optimization opportunities

Provide data and reporting necessary to support UX improvements, merchandising decisions, personalization, and customer experience initiatives

Support A/B testing and experimentation by establishing measurement requirements, reporting results, and evaluating business impact

Analyze product, category, and customer behavior to identify opportunities to improve conversion rate, average order value, and ecommerce revenue


Data Strategy & Business Support

Partner with ecommerce, digital product, marketing, CRM, merchandising, retail operations, and leadership teams to define KPIs and reporting requirements

Help establish consistent business definitions, attribution methodologies, and performance measurement standards

Provide data and analysis supporting forecasting, merchandising strategy, inventory optimization, lifecycle marketing, and operational planning

Support new product, brand, and category launches through performance measurement and customer behavior analysis

Translate business questions into data requirements, analysis, and actionable recommendations

Provide accurate and timely information that enables teams and leadership to make faster, data-driven business decisions


Other projects as needed


Requirements

Education:

Minimum of four-year degree in Computer Science, Data Science, Information Systems, Analytics, Engineering, or related field OR high school diploma/equivalent with equivalent work experience


Experience:

Minimum 3+ years experience in data engineering, analytics engineering, business intelligence, or a related data-focused role

Experience building and maintaining scalable data pipelines and ETL/ELT processes

Strong SQL experience with the ability to transform, organize, and analyze complex datasets

Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or similar platforms

Proficiency in Python and/or R for data transformation and analysis

Experience integrating APIs, third-party platforms, and multiple data sources

Experience with BI and reporting platforms such as Looker, Tableau, Power BI, Sigma, Metabase, or similar tools

Experience developing data models, schemas, and reporting structures that provide consistent and reliable business reporting

Understanding of ecommerce analytics, customer journey measurement, conversion funnels, attribution, and lifecycle marketing

Experience supporting ecommerce, retail, marketing, CRM, or other customer-focused business functions preferred

Familiarity with customer data platforms, event-based analytics, marketing automation, and A/B testing frameworks preferred


Other Requirements:

Able to work effectively across cross-functional teams and independently manage data and analytics initiatives

A quick learner with the ability to translate business requirements and complex data into actionable recommendations

An ability to work on multiple projects and priorities at the same time

A valid driver's license is required for occasional travel

Position will be subjected to pre-employment and annual motor vehicle record (MVR) checks. Must be able to successfully pass MVR checks to drive on behalf of the company.


SKILLS

Ability to translate business requirements into technical data and reporting requirements

Strong analytical and problem-solving skills

Ability to translate complex datasets into clear, actionable business insights

Strong SQL, data modeling, and data visualization skills

Ability to collaborate with a wide variety of internal teams and stakeholders

Strong attention to detail with an emphasis on data quality and reporting accuracy

Ability to communicate technical information clearly to technical and non-technical audiences

Ability to multi-task, prioritize, and manage multiple projects

Ability to identify opportunities to improve processes, reporting efficiency, and business performance

Strong understanding of ecommerce KPIs and customer journey analytics

Demonstrated effective interpersonal, verbal, and written communication skills.

Strong sense of initiative and a sense of urgency, demonstrated by accomplishing tasks, improving current work processes, and assisting others when necessary.

Unwavering attention to detail and commitment to world-class quality.

Ability to embrace deadlines.

Able to project a positive and professional demeanor to all internal and external contacts.


WORK ENVIRONMENT & PHYSICAL DEMANDS 

The employee must be able to maintain concentration in a variety of work environments and sustain attention to detail while managing multiple priorities. The position requires the ability to reason, analyze information, and make sound decisions promptly. The employee must also be capable of working both independently and collaboratively, interacting professionally with colleagues, leadership, and external partners. While performing the duties of this job, the employee is regularly required to sit for extended period, use hands and fingers to operate a computer keyboard, mouse, phone and other standard office equipment. Will be required to communicate both verbally and in writing; as well as view a computer monitor and perform tasks requiring close vision with the ability to adjust focus. The employee is occasionally required to stand, walk, reach, bend, stoop, kneel, or crouch to access files, supplies or other office equipment. The employee must occasionally lift, carry, push or pull materials weighing up to 20 pounds. Repetitive hand, wrist, and finger motion is required for keyboarding and other clerical tasks. 


BENEFITS & PERKS

Medical, dental, and vision insurance

Company-paid life insurance and AD&D coverage

401(k) retirement savings plan

Paid time off (PTO)

FSA and HSA options

Employee product discounts, wellness resources, and employee assistance programs


Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.