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Afternoon Data Analyst R Programming Jobs in Lansing, MI

Niowave Inc.

Senior Data Analyst

Lansing, MI

$78.40K - $98.80K/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 ...

Staffactory

Programmer Analyst 6

Lansing, MI · 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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$34.5K

$83.8K

$137.9K

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

As of May 28, 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 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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 most commonly searched types of Data Analyst R Programming jobs in Lansing, MI? The most popular types of Data Analyst R Programming jobs in Lansing, MI are:
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:
Afternoon Data Analyst R Programming jobs near you
Senior Data Analyst

Senior Data Analyst

Niowave Inc.

Lansing, MI

$78.40K - $98.80K/yr

Full-time

Posted 23 days ago

Job description

Senior Data Analyst
Who we are…
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 where collaboration, curiosity, and camaraderie thrive. We also enjoy darts, cornhole, ping-pong, chili cook-offs, and other fun events that makes our company a community where we make a life, not just a living.
Who you are…
You are a data-driven problem solver who enjoys transforming raw information into clear, actionable insights. You thrive in collaborative environments, ask great questions, and enjoy gaining deep understanding of how various processes work.
You are skilled at building dashboards, modeling data, and clarifying the story behind the numbers. You love designing reports that real people rely on every day and you care about data accuracy, structure, and usability. Words that describe you are analytical, curious, precise, proactive, and customer-focused.
What you can expect to work on…
The Senior Data Analyst serves as the primary owner of analytics, reporting, and data insights across the organization. This role blends business-facing analysis with technical data modeling to support various teams.
The Senior Data Analyst develops Power BI dashboards, performs advanced analysis, improves data accessibility, and builds repeatable workflows using Power Apps, Power Automate, and SQL. The role partners closely with subject matter experts to define reporting requirements, translate operational needs into analytics solutions, and promote consistent use of data across Niowave.
  • Develop, maintain, and optimize Power BI dashboards, reports, and datasets for cross-functional teams
  • Build semantic models, DAX measures, dataflows, and reusable data structures
  • Translate operational and quality requirements into reliable and audit-ready analytics outputs
  • Write SQL queries to extract, transform, and analyze data from internal systems
  • Perform data validation, cleansing, and consistency checks
  • Build analytics and dashboards using data from MasterControl, SharePoint, and other internal platforms
What you need to succeed…
  • Embraces and models the Niowave Core Values of Teamwork, Courage, Integrity, and Upright Zeal
  • Understands how to integrate into a new team/organization – appreciates the history of current state, know how and when to make suggestions, as well as using just the right pace to reach the improved future state
  • Understands your own communication and learning styles, can assess others’ styles, and is able to find the right path to best connect with colleagues
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, or a related technical field; or equivalent experience
  • 8+ years of experience in data analytics, business intelligence, or a related field
  • Advanced proficiency with Power BI, including DAX, data modeling, and dataflows
  • Strong SQL skills for querying and transforming data
  • Experience with Power Apps and Power Automate
  • Experience building reports using data from SharePoint, MasterControl, or similar platforms
  • Experience with Azure SQL and/or Azure analytics tools at the user level
  • Ability to document analyses, models, and workflows clearly
Great to have…
  • 10+ years of experience in data analytics, business intelligence, or a related field Experience supporting analytics in regulated, manufacturing, or laboratory environments
  • Experience preparing data requirements for ERP implementations
  • Familiarity with MasterControl reporting structures
  • Experience with Python for analysis or automation
Other things to know…
  • Full-time position
  • Niowave’s standard operating hours are Monday – Friday 6:00 a.m. – 6:00 p.m. with production related activities requiring 24/7/365 shifts
  • This position will have regular working hours during Monday - Friday with an expectation of adjusting to working outside of the standard operating hours as needed
  • Niowave has multiple locations within the Lansing area and travel between locations is expected in the role
Please provide a cover letter specifically describing the nature of your background and experience as it relates to this position.

Apply