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Afternoon Data Analyst R Programming Jobs in Fort Wayne, IN

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... Model and manage structured data to support analytics, reporting, and application needs * Build and ...

Parkview Health

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse ... development or related technical role. Healthcare experience desired, especially Epic (Electronic ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse ... development or related technical role. Healthcare experience desired, especially Epic (Electronic ...

Parkview Health

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse ... development or related technical role. Healthcare experience desired, especially Epic (Electronic ...

Lasting Change, Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

This role focuses on building reliable, performant data pipelines and analytical data products that drive meaningful business insights across the organization. The Fabric Data Engineer brings a ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN

$113K - $135K/yr

Analyze data to identify gaps, inconsistencies, and quality issues, contributing to the continuous ... Proficiency in Python as the primary programming language for data engineering, including ...

Lasting Change Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

This role focuses on building reliable, performant data pipelines and analytical data products that drive meaningful business insights across the organization. The Fabric Data Engineer brings a ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Analyze data to identify gaps, inconsistencies, and quality issues, contributing to the continuous ... Proficiency in Python as the primary programming language for data engineering, including ...

centralins

Senior Actuarial Analyst

Dublin, OH · On-site +1

Strong skills with programming languages such as Python, SQL, R, SAS and VBA * 4+ Actuarial Exams ... including labor market data and an evaluation of candidate qualifications relative to role ...

centralins

Senior Actuarial Analyst

Van Wert, OH · On-site +1

Strong skills with programming languages such as Python, SQL, R, SAS and VBA * 4+ Actuarial Exams ... including labor market data and an evaluation of candidate qualifications relative to role ...

Sweetwater

DC Operations Analyst

Fort Wayne, IN · On-site

Required : • Bachelor's Degree in Business, Supply Chain, Analytics, Industrial Engineering, Operations, or related field • Advanced experience in data analysis, specifically related to ...

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Afternoon Data Analyst R Programming information

See Fort Wayne, IN salary details

$33.5K

$81.5K

$134.2K

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

As of Jul 15, 2026, the average yearly pay for afternoon data analyst r programming in Fort Wayne, IN is $81,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

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

Data Engineer

Steel Dynamics, Inc.

Fort Wayne, IN • On-site

$104K - $125K/yr

Other

Posted 4 days ago

Steel Dynamics rating

7.8

Company rating: 7.8 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

174th of 527 rated manufacturers

Job description

Subsidiary
Steel Dynamics
Overview
Location: Position can be executed from any of the following Steel Dynamics offices. This position is an onsite position.
  • Butler, IN
  • Columbus, MS
  • Terre Haute, IN
  • Pittsburgh, PA
  • Sinton, TX

Steel Dynamics will not provide sponsorship for employment visa status now or in the future for this role. This includes, but is not limited to, F-1 STEM OPT, H-1B, TN, E-3, O-1, or any other work authorization that requires company sponsorship or the submission of immigration-related documentation to a government agency. Individuals who are found to require sponsorship now or in the future will be removed from consideration for employment for this position.
* This position requires the candidate to work onsite and is not eligible for remote work.
Overview
We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which develops and maintains shared data systems across our network of flat roll steel manufacturing facilities. In this role, you will design and manage the data infrastructure - pipelines, databases, and reporting solutions - that drives decision-making across the Flat Roll Group. The right candidate brings strong SQL skills, a disciplined approach to data quality, and the ability to collaborate effectively with both technical teams and business stakeholders.
Responsibilities
  • Develop and maintain SQL queries, views, stored procedures, and triggers to support data ingestion and transformation
  • Model and manage structured data to support analytics, reporting, and application needs
  • Build and maintain data pipelines and ETL/ELT processes
  • Ensure data quality, consistency, and reliability across data systems
  • Monitor, troubleshoot, and optimize data workflows and query performance
  • Collaborate with software and data architects, engineers, and stakeholders to understand data requirements
  • Document data flow, schemas, and data definitions
  • Follow data governance, security, and compliance standards
  • Independently manage assigned work items and commitments
  • Communicate technical information clearly to both technical and non-technical teams
  • Pursue continuous learning and professional skill development

Qualifications
Required
  • Proven experience in data engineering, analytics engineering, or similar role
  • Strong SQL proficiency, including complex queries, views, stored procedures, and triggers
  • Experience with relational databases and data modeling concepts
  • Ability to analyze data issues, identify root causes, and implement effective solutions
  • Hands-on experience with cloud data platforms, data warehouses, or data lakes
  • Experience building and maintaining data pipelines or ETL/ELT processes
  • Experience supporting analytics, reporting, or BI use cases
  • Experience with data quality monitoring
  • Strong written and verbal communication skills
  • Demonstrated accountability and ownership of data solutions
  • Bachelor's degree in related field, relevant certifications, or equivalent proven expertise
  • 5-7 years of experience in SQL
  • 5-7 years of experience in data analytics
  • Experience in Qlik and/or Power BI
  • Microsoft SQL Server experience

Preferred
  • Background in steel or manufacturing environments

Steel Dynamics, Inc., and all affiliated entities are equal opportunity employers.

What Steel Dynamics employees say

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About Steel Dynamics

Sourced by ZipRecruiter

Steel Dynamics is one of the largest and most diversified domestic steel producers and metals recyclers in the United States, with an estimated steelmaking and coating capacity of approximately 13 million tons, and facilities located throughout the United States and in Mexico. We operate using a circular manufacturing model, producing lower-carbon-emission, quality steel using electric arc furnace (EAF) technology with recycled ferrous scrap as the primary input. Our circular economy is powered by our three primary operating platforms: steel, metals recycling, and steel fabrication. Our steel operations produce steel products, including hot roll, cold roll, and coated sheet steel, structural steel beams and shapes, rail, engineered special-bar-quality steel, cold finished steel, merchant bar products, and specialty steel sections. Our metals recycling operations collect and process ferrous and nonferrous scrap from manufacturing and end-of-life items, such as automobiles, appliances, and machinery. This processed scrap is then sold to end-users for reuse, including our EAF steel mills, which produce new steel from the scrapped material. We sell a meaningful amount of steel to our own steel fabrication operations that in turn produce and sell structural steel joist and deck building systems to consumers.

Industry

Manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Fort Wayne, IN, US

Year founded

1993

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