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Afternoon Data Analyst R Programming Jobs in Indiana

Roche

Senior Data Analyst

Indianapolis, IN

$82K - $103K/yr

As a Senior Data Analyst in our Near Patient Care manufacturing environment, you will develop and ... Python, R or comparable tools is highly desirable. * Good understanding of data engineering ...

F. Hoffmann-La Roche Ltd

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

As a Senior Data Analyst in our Near Patient Care manufacturing environment, you will develop and ... Python, R or comparable tools is highly desirable. * Good understanding of data engineering ...

Albanese Candy

Data Analyst/ Programmer

Merrillville, IN · On-site

UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational data for the ... Develop and maintain extract, transform and load programming. * Monitor data migration jobs and ...

New

Old National Bank

Data Analyst, Sr

Evansville, IN

$60K - $121K/yr

... programming skills with querying languages: SQL, SAS, R, Python, etc. * 5+ years' experience in Data Visualization * Experience integrating multiple components of the Microsoft Fabric / BI Stack ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

... programming skills with querying languages: SQL, SAS, R, Python, etc. * 5+ years' experience in Data Visualization * Experience integrating multiple components of the Microsoft Fabric / BI Stack ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

Our clients span the public and private sectors, and our work - from data strategy and engineering ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

Our clients span the public and private sectors, and our work - from data strategy and engineering ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

Our clients span the public and private sectors, and our work -- from data strategy and engineering ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

Varsity Tutors

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

West Lafayette, IN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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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 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 the most commonly searched types of Data Analyst R Programming jobs in Indiana? The most popular types of Data Analyst R Programming jobs in Indiana are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Indiana? For Afternoon Data Analyst R Programming jobs in Indiana, the most frequently searched job titles are:
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What cities in Indiana are hiring for Afternoon Data Analyst R Programming jobs? Cities in Indiana with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Data Analyst/ Programmer

Albanese Candy

Merrillville, IN • On-site

Full-time

Posted yesterday

New

Job description

Description
UNDERSTANDING
The Data Analyst/Programmer is responsible for leveraging organizational data for the development of business analytics. Use machine learning, statistical methods and advanced analytics to analyze and interpret complex digital data.
CORE VALUES
Our 5 Core Values are more than just words, they're a way of life. We know that companies with a strong culture & a higher purpose perform better in the long run.
  • Own It
  • Hustle and Refuse to Settle
  • Love People
  • Act for the Greater Good
  • Find a way

WORKING RELATIONSHIP
  • IT team
  • IT leadership

RESPONSIBILITIES
  • Develop and maintain extract, transform and load programming.
  • Monitor data migration jobs and troubleshoot errors. Including API monitoring.
  • Lead and coordinate with stakeholders and IT team to develop innovative data analysis methodologies.
  • Utilize advanced analytics to extract valuable insights from large datasets, helping to shape business reporting.
  • Understand and develop machine learning models to automate data processes and enhance predictive analytics.
  • Ensure the accuracy and integrity of data used for analytical purposes through rigorous validation and testing.
  • Act as the SME for AI for business, investigating how the company can utilize AI across all aspects of the business.
  • Create process technical design specifications, create/execute test scripts as needed for projects or initiatives.
  • Be available for off-hour support tasks, as needed, and as part of any off-hour rotation schedule.
  • Comply with all company Quality, HACCP, GMP and Food Safety Standards.
  • Other duties as assigned

REQUIREMENTS
  • The ability to take initiative and be self-motivated
  • An adaptable and flexible attitude, allowing them to approach and solve a problem by examining it from different angles
  • Strong interpersonal skills
  • Written and verbal communication skills
  • The ability to collaborate within a team
  • Strong attention to detail
  • Developed skills in examination and analysis
  • In-depth knowledge and understanding of SDLC and change management.
  • Complex Problem Solving and Analytical skills
  • This position requires support of implementations after hours
  • Experience in supporting Enterprise software in manufacturing environment.
  • Experience in AWS, Azure of other AI engine software solutions.
  • Experience with API writing
  • Strong skills needed in verbal and written communication, including communicating effectively with business users and software developers
  • Excellent organizational and planning skills
  • Ability to lead and facilitate diverse groups of people to move towards solutions
  • Excellent analytical and problem-solving skills
  • Programming experience
  • Familiarity or experience with Agile/Scrum Framework is a plus.
  • Food manufacturing experience is a plus.
  • Must be able to speak, read and write in English.

EDUCATION
Bachelor of Science Degree or higher in Information Systems or relevant degree.

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