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Afternoon Data Analyst R Programming Jobs in Lansing, MI

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

Data Analyst #1058274 ... We are seeking an Analytics Engineer (contract) to support development of scalable analytics ...

Lansing, Michigan Data Analyst Contract Analytics Engineer/Data Analyst (W-2 Contract / No Agencies) We are seeking an Analytics Engineer (contract) to support development of scalable analytics ...

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

We are a team of scientists, engineers, technicians, and innovators dedicated to changing the world by developing medical isotopes to treat and eradicate cancer. We believe in building an environment ...

Programmer Analyst 6

Lansing, MI ยท On-site

$58 - $63/hr

Job Summary We are seeking an experienced Senior Report Developer to serve as a Data Analyst and Dashboard Developer within the MDHHS Analytics and Visualization Division . This role focuses on ...

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Afternoon Data Analyst R Programming information

See Lansing, MI salary details

$34.5K

$83.8K

$137.9K

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

As of Jul 13, 2026, the average yearly pay for afternoon data analyst r programming in Lansing, MI is $83,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $98,400.00 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 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 the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Lansing, MI? For Afternoon Data Analyst R Programming jobs in Lansing, MI, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Lansing, MI look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Lansing, MI are:
What cities near Lansing, MI are hiring for Afternoon Data Analyst R Programming jobs? Cities near Lansing, MI with the most Afternoon Data Analyst R Programming job openings:
Analytics Engineer/Data Analyst

Analytics Engineer/Data Analyst

Indotronix International Corporation

Okemos, MI โ€ข On-site

Contractor

Re-posted 4 days ago


Job description

Analytics Engineer/Data Analyst | Okemos, Michigan, United States Analytics Engineer / Data Analyst (Contract) Location: Okemos, MI, 48864 (Remote flexibility) Job Type: Corp-to-Corp (C2C) About the Role Join a forward-thinking analytics team as an Analytics Engineer/Data Analyst, driving scalable data solutions and actionable business insights. You'll leverage the modern data stack-Snowflake, dbt, SQL, and Tableau-to develop robust analytics pipelines and dashboards. This contract position offers the opportunity to work across the entire data lifecycle, collaborate with cross-functional partners, and make a direct impact on decision-making across the organization. Responsibilities - Build, optimize, and maintain scalable analytics pipelines using Snowflake and dbt - Transform raw data into analytics-ready datasets tailored for business needs - Develop and deliver insightful, user-friendly Tableau dashboards to enable data-driven decisions - Validate data outputs for consistency, accuracy, and quality - Bridge business and technical teams to translate complex requirements into structured data models - Document processes and data models to support knowledge sharing and adoption - Contribute to the implementation and standardization of scalable data solutions across the organization Required Skills and Experience - Proficient in advanced SQL for data transformation and analysis - Strong hands-on experience with dbt-based data modeling - Proven track record working in Snowflake-based environments - Expertise in building end-to-end analytics workflows, from pipeline development to Tableau integration - Exceptional analytical thinking and attention to detail in data quality and validation - Effective communication skills for collaborating with both technical and business stakeholders Preferred Skills - Experience with additional BI or data visualization tools - Familiarity with modern data workflow orchestration tools and cloud-based data architectures Benefits - Exposure to the latest data technologies and scalable analytics practices - Collaborate with a high-impact, innovative data team - Flexible work arrangements and supportive project leadership - Opportunity to influence data-driven culture and best practices How to Apply Ready to advance your analytics career and make a real impact? Submit your resume and a brief statement of interest to be considered for this dynamic contract opportunity.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US