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Afternoon Data Analyst R Programming Jobs in Minnesota

Tactile Medical

Data Analyst

New Brighton, MN · On-site

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or ... Experience in R, Python, or similar scripting language * Experience with data visualization and ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or ... Experience in R, Python, or similar scripting language * Experience with data visualization and ...

Andersen Windows, Inc.

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

R-2903**ANDERSEN CORPORATION SUMMARY:**At Andersen, we see possibility everywhere, every day and in ... Programming Basics: Exposure to scripting languages such as SQL for data manipulation and ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

AvePoint

Data Analyst

Virginia, MN · On-site

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

New

US Bank

Cloud Data Analyst

Minneapolis, MN

Partner with engineering teams to investigate data quality concerns, pipeline failures ... Degree in Data Analytics, Computer Science, Math, Statistics, Economics, Finance, or related ...

New

Andersen Corporation

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

The Analyst plays a pivotal role in bridging the gap between business needs and data-driven ... Programming Basics: Exposure to scripting languages such as SQL for data manipulation and ...

Andersen

Data Analyst II

Cottage Grove, MN

$90K - $139K/yr

The Analyst plays a pivotal role in bridging the gap between business needs and data-driven ... Programming Basics:Exposure toscripting languagessuch asSQLfor data manipulation and automation.

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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 Minnesota?

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

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

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

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

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

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

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

Afternoon Data Analyst R Programming jobs near you

Data Analyst

New Brighton, MN • On-site

Tactile Medical
Medical Equipment and Supplies Manufacturing • 1 - 5K employees
Learn more about Tactile Medicalexternal

Full-time

Re-posted 29 days ago

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a motivated Data Analyst to deliver clear insights into the operations and development teams and leadership. The ideal candidate will have a strong desire to use mathematical and statistical expertise and will have a natural curiosity to gain knowledge through the independent creation of thoughtful analyses tied to company goals. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.

Accountabilities & Responsibilities

  • Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping, and product development
  • Work with Operations, Digital Solutions, and other stakeholders to understand reporting needs
  • Fill knowledge gaps through creative application of data resulting in clear and reliable data reporting
  • Design and maintain models, metrics, reports, and dashboards that help stakeholders better understand the business trends
  • Collaborate across multiple teams to understand business needs and analyze complex data while communicating recommendations
  • Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to uncover trends and opportunities
  • Develop requirements, processes, and documentation for reporting on data-related projects
  • Embrace working toward the end goal of helping others live a better quality of life
  • Support day-to-day business needs surrounding system and data related tasks
  • Contribute to publication-grade data analysis using datasets provided by the Digital Solutions team, supporting research and thought leadership initiatives
  • Support IoT-related use cases by evaluating device usage data and informing quality metrics

Education & Experience:

  • Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics
  • 1+ years of relevant experience in data analytics, data science, and/or a quantitative field
  • Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems

Knowledge & Skills:

  • Excellent communication, analytical and collaborative problem-solving skills in applying analytical methods to real world problems with measurable outcomes
  • Engage in statistical and exploratory analysis of datasets from medical device data
  • Experience in setting analytics frameworks or strategies for complex scenarios
  • Play a role in defining, monitoring, and reporting on key product performance metrics
  • Experience in an ERP systems collecting data
  • Experience in R, Python, or similar scripting language
  • Experience with data visualization and presentation tools, such as Power BI
  • Demonstrable record of accomplishment dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic regulated environment

Competencies:

  • Analytical
  • Technical Expertise
  • Detail Oriented
  • Research and Development
  • Team Leadership
  • Flexible
  • Collaboration
  • Communication
  • Critical Thinking
  • Peer Relationships
  • Problem Solving

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