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Afternoon Data Analyst R Programming Jobs in Ohio

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · Hybrid

$57/hr

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote ... Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.

Cardinal Health

Data Analyst

Dublin, OH · Hybrid

The role documents data lineage validates data quality, and partners with product, engineering, and ... Responsibilities Execute data extraction and transformation using SQL, Python, or R. Profile ...

Cardinal Health, Inc.

Data Analyst

Dublin, OH · On-site

The role documents data lineage validates data quality, and partners with product, engineering, and ... Execute data extraction and transformation using SQL, Python, or R. * Profile datasets to assess ...

Cardinal Health

Data Analyst

Dublin, OH · Hybrid

The role documents data lineage validates data quality, and partners with product, engineering, and ... Execute data extraction and transformation using SQL, Python, or R. * Profile datasets to assess ...

Cardinal Health

Data Analyst

Dublin, OH · Hybrid

The role documents data lineage validates data quality, and partners with product, engineering, and ... Execute data extraction and transformation using SQL, Python, or R. * Profile datasets to assess ...

FirstEnergy Corp.

Data Analyst

Akron, OH · On-site

$79.48K - $139.80K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

FirstEnergy

Data Analyst

Akron, OH

$79.48K - $139.80K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

Lynch Consultants, LLC

Data Analyst

Dayton, OH · On-site

$75K - $89K/yr

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

Lynch Consultants, LLC

Data Analyst

Dayton, OH · On-site

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

Narwal

Senior Data Analyst

Mason, OH · On-site

$80.90K - $102K/yr

Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc) * Knowledge of Big Data landscape as ...

Worldpay

Data Analyst

Cincinnati, OH

We're looking for a Data Analyst to join our Fraudsight team and help us unleash the potential of ... Strong skills in SQL and Python, added bonus if you have experience with R. * Proficient in working ...

Bright Beginnings ESCNEO

Data Analyst

Independence, OH · On-site

Summary The Data Analyst extracts, manages, transforms, and analyzes data for statewide Help Me ... R, SAS, SPSS, etc.) and Excel. Proficiency with the use of databases and for data querying and ...

Ferroglobe

Business Data Analyst

Marietta, OH · On-site

$95K - $110K/yr

Experience in programming languages such as Python, R, and SQL. * Proficiency with data ... Familiarity with ETL tools and data analysis techniques. * Solid understanding of statistics and ...

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Afternoon Data Analyst R Programming information

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

Data Analyst

Kiva Design

Cincinnati, OH • On-site

Full-time

Posted 2 days ago

Job description

Company Description
The activities for this position are centered on developing solutions through data science techniques required. In this role you will perform critical functions such as:
  • Identify potential applications fro data science techniques
  • Assist management in setting priorities for near-term projects
  • Drive the collection of new data and the manipulation/refinement of existing data sources
  • Analyze data using data science and/or statistical methods
  • Collaborate with subject matter experts, internal/external stakeholders, software programmers, and customers to develop tools that meet specifications
  • Issue reports detailing tool development (including unsuccessful approaches), quality assurance actions performed, final results, etc.

As a member of the Data Methods team, you will also have the opportunity to train others (all levels of design, architecture, and management), collaborate with external experts, and attend conferences/training sessions.
Job Requirements
Senior:
  • BS degree in Admin or Bachelor's degree in a design related field from an accredited college, university & companies and a minimum of 1+ years relevant experience; or
  • MS degree in engineering or Master's degree in a Data analyst related field from an accredited college or university and a minimum of four years relevant experience.

Principal:
  • BS degree in engineering or Bachelor's degree in a science related field from an accredited college or university and a minimum of nine years relevant experience; or
  • MS degree in engineering or Master's degree in a science related field from an accredited college or university and a minimum of seven years relevant experience

Job Preferred Skills
  • Significant experience with data analysis software such as Python, R, or Matlab.
  • Experience solving analytical problems using quantitative approaches.
  • Experience with hypothesis testing - the ability to develop hypotheses and test them through carefully conducted experiments.
  • MS or PhD in Aministrative related field from an accredited college or university.

Job Description
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.

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