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Afternoon Data Analyst R Programming Jobs in Michigan

Niowave Inc.

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 ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Stellantis

The Data Analyst / Front‑End App Developer is responsible for designing, building, and maintaining analytics and front‑end data applications that support Purchasing data products.​ The role ...

Strategic Staffing Solutions

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

... data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ... Viability Analysis Statistics & Decision Analytics SQL & Python Proficiency Data & Solution ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front‑End App Developer is responsible for designing, building, and maintaining analytics and front‑end data applications that support Purchasing data products.​ The role ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio ...

Masco Corporation

Business Data Analyst

Livonia, MI · On-site

The Business Data Analyst is also the operational steward of product attribution providing hands-on ... Working knowledge of Agile story and backlog tooling (Azure DevOps, Jira, or similar)

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Afternoon Data Analyst R Programming information

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 the most commonly searched types of Data Analyst R Programming jobs in Michigan?

The most popular types of Data Analyst R Programming jobs in Michigan are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Michigan?

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

What job categories do people searching Afternoon Data Analyst R Programming jobs in Michigan look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Michigan are:

What cities in Michigan are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Michigan with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Audit Data Analyst

Blue Cross Blue Shield of Michigan

Detroit, MI • On-site

Full-time

Posted 12 days ago

Blue Cross Blue Shield of Michigan rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

194th of 310 rated insurance

Job description

IntroductionWith more than 7,000 employees, we are the largest health insurance company in Michigan. We offer an exciting work environment with a diverse group of employees. Our goal is to make health insurance easier for our members. We want to transform the industry and become a resource that people can trust.

Overview

Responsible for assisting in the continuous improvement and maturity of the data analytics program within BCBSM Internal Audit and assisting with other day-to-day operational responsibilities of the Audit data analytics team. Performs analytics to identify issues, risks, and trends to assist from audit planning through execution, including data mining, profiling, script creation, and dashboard creation.

Responsibilities

  • Provide support to Internal Audit teams by creating automated testing and conducting continuous monitoring through the use of CAATs and other analytic tools.
  • Perform data querying, manipulation, data set testing, and create scripts or data visualizations on large data sets using the various tools.
  • Lead analytics projects and teams to identify key risk and performance metrics utilizing testing scripts and data visualizations.
  • Assist in the enhancement of the Internal Audit’s data analytics program’s maturity and strategic direction to support audit operations.
  • Assist in obtaining and gaining an understanding of key source system data and requests from Audit leadership.

  • Conduct and lead analytics training for General Audit and Corporate Compliance team members.

Requirements

  • Bachelor's Degree in Accounting, Computer Science, Data Science or related field required.
  • Two (2) -Four (4) years of internal audit, public accounting/audit, data analytics or related field required.
  • Experience with Tableau or similar Business Intelligence Tool preferred.
  • Specialty certification in data analytics tool preferred.
  • CIA, CPA, or CISA certification preferred.
  • Strong written and verbal communication skills.
  • Strong attention to detail, analytical, and problem-solving skills.
  • Excellent skills in Microsoft Office applications and systems (i.e. Excel, Word, PowerPoint, Access, and SharePoint).
  • Ability to work independently and work in a team environment on projects with concurrent deadlines.
  • Familiarity with Data Warehouse and Data Mart concepts.
  • Knowledge of Python, R, Cognos, SQL, or SAS.
  • Must be able to travel to various BCBSM and subsidiary locations around the State, BCBSA (Chicago), other Blues Plans and vendor sites.

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