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Afternoon Data Analyst R Programming Jobs in Paw Paw, MI

Infosys

Master Data Analyst

Battle Creek, MI · On-site

Senior Consultant - Master Data Analyst (Manufacturing) Infosys Consulting, the management and ... Understand key business processes in manufacturing and supply chain like engineering, production ...

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · 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 ...

Workiva

Spring 2027 Intern - Data Analytics

Kalamazoo, MI · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Danaher

Digital Analyst Internships

Kalamazoo, MI · On-site

$93K - $110K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Kalamazoo, MI · On-site

$93K - $110K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Stryker

Data Science Intern - Remote

Kalamazoo, MI · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Stryker

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Lead the design and implementation of reusable data assets and data products that enable self-service analytics. * Own end-to-end delivery of complex data engineering initiatives from requirements ...

Stryker

Senior Staff Data Engineer

Portage, MI · On-site

$153K - $255K/yr

Lead the design and implementation of reusable data assets and data products that enable self-service analytics. * Own end-to-end delivery of complex data engineering initiatives from requirements ...

Stryker

Data Science Intern - Remote

Kalamazoo, MI

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Paw Paw, MI

Afternoon Data Analyst R Programming information

See Paw Paw, MI salary details

$30.8K

$75K

$123.4K

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

As of Sep 7, 2026, the average yearly pay for afternoon data analyst r programming in Paw Paw, MI is $74,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Paw Paw, MI look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Paw Paw, MI are:

What cities near Paw Paw, MI are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Paw Paw, MI 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 Paw Paw, MI as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $74,973 per year, or $36 per hour.

Master Data Analyst

Infosys

Battle Creek, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

153rd of 226 rated it services

Job description


Senior Consultant - Master Data Analyst (Manufacturing)
Infosys Consulting, the management and technology consulting unit of Infosys Ltd, is seeking motivated Manufacturing Industry Consultants as part of our team of front-runners in Manufacturing Industry consulting. The ideal candidate will have a minimum of 5 years' experience in the Manufacturing sector with a strong understanding of one or more of the following industries: Automotive, Aerospace, Defense and Industrial Products. Successful candidates will understand manufacturing, distribution and supply chain for discrete and continuous manufacturing processes, including enabling technologies.
About the Role
The Senior Consultant role within the Manufacturing consulting practice of Infosys focuses on partnering with business and technology stakeholders of our clients to help craft and execute their strategy. Consultants provide support to Principal Consultants and Infosys teams in different stages of projects including Strategy, Business Case definition, Requirements, Business Process Design/Re-engineering, Business Operations and Business Architecture, that enables our clients to meet the changing needs of the global landscape.
Responsibilities include but not limited to:
  • Lead engagements at Manufacturing clients to address the pressing issues faced in the industry related to updating and transforming manufacturing facilities with new technologies to increase throughput, improve quality, lower cost of operations and increase sustainability.
  • Conduct interviews / workshops / walkthroughs with subject matter experts and process owners to elicit and document requirements
  • Understand key business processes in manufacturing and supply chain like engineering, production, quality control, inspection, procurement, planning, distribution, warranty, returns, etc.
  • Gather and analyze business requirements, processes, design and develop data maps and business cases required to support transformation initiatives
  • Collaborate with cross-functional teams across the client organization and Infosys on Manufacturing and Supply Chain transformation programs and initiatives
  • Provide leadership and mentor junior consultants in the engagement team
  • Collaborate with other streams including technology delivery streams across Infosys to deliver a compelling value proposition to the client
  • Publish thought leadership and insights on manufacturing industry trends and related challenges and opportunities, including the impact of and opportunities from AI in Manufacturing
  • Support business development activities, assist in presales and sales process. Support client plant team in running plant operations, perform system transactions, along with coaching existing plant team members.

Basic Qualifications
  • Bachelor's degree or foreign equivalent required
  • Minimum of 5 years' experience with Manufacturing Sector companies as a direct employee or consultant.
  • Knowledgeable in manufacturing industry trends such as Industry 4.0, digitization, AI/ML, Cloud, etc.
  • Experience in process improvement in business operations through analysis of current state, root cause analysis, developing insights, identifying solutions, and designing future states
  • Strong oral and written communications skills, including presentation skills (development of the presentation and executive level presentation)
  • Demonstrated knowledge and experience in requirements elicitation, analysis and documentation
  • Proven ability to lead projects, build strong and effective business relationships
  • Ability to facilitate discussions, analyze and de-construct problems, develop structured solutions and categorize challenges in the project environment
  • Highly motivated with strong analytical acumen and problem-solving skills
  • Ability to travel extensively.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
  • Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary
  • Proven ability to deliver under tight deadlines and challenging constraints

Specific Qualifications for Master Data Analyst role
  • Able to commute to work locations in Marshall MI, 4 days a week
  • Must have strong materials management background working in a manufacturing environment along with SAP S/4HANA user experience.
  • Master Data Analyst is responsible for ensuring that business-critical master data is accurate, governed, and fit for use across planning, procurement, manufacturing, logistics, and finance processes

    • Maintain and govern master data including Material Masters, Business Partners (Customers/Vendors), BOMs, Routings, Work Centers, Cost Centers, and other S/4HANA master data objects, ensuring completeness and accuracy.
    • Enforce data quality and standards by performing data validation, duplicate checks, data profiling, and ongoing monitoring to ensure a single source of truth across the enterprise.
    • Manage master data creation and change processes by reviewing requests, applying governance rules, coordinating approvals, and ensuring compliance with established workflows and controls.
    • Support manufacturing and supply chain operations by ensuring BOMs, product hierarchies, MRP parameters, production versions, and material planning attributes are maintained correctly to enable effective planning and execution.
    • Drive data governance and compliance initiatives by partnering with business data owners, stewards, and functional teams to establish policies, ownership models, audit trails, and regulatory compliance requirements.
    • Support data migration, integration, and continuous improvement by cleansing legacy data, validating conversion results, troubleshooting data issues, and improving master data processes and controls.

Note
We understand that no candidate is a perfect match for every requirement. If you believe your skills, experiences, and perspectives can contribute to the growth of Infosys Consulting's Manufacturing Industry Vertical, we encourage you to apply.
EEO/About Us
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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