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Afternoon Data Analyst R Programming Jobs in Columbia, PA

Amphenol TCS

Data Analyst

Yocumtown, PA · On-site

The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and analysis that drives decision-making. Working alongside data scientists and software ...

Amphenol TCS

Data Analyst

Yocumtown, PA · On-site

The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and analysis that drives decision-making. Working alongside data scientists and software ...

Amphenol Corporation

Data Analyst

Yocumtown, PA · On-site

Etters, PA The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and analysis that drives decision-making. Working alongside data scientists and ...

Amphenol TCS

AI Data & Business Analyst

Yocumtown, PA · On-site

Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are seeking a Data & Business Analyst to join a new AI engineering capability within ...

Amphenol TCS

AI Data & Business Analyst

Yocumtown, PA · On-site

Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are seeking a Data & Business Analyst to join a new AI engineering capability within ...

Amphenol ICC

AI Data & Business Analyst

Yocumtown, PA · On-site

Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are seeking a Data & Business Analyst to join a new AI engineering capability within ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Columbia, PA

Afternoon Data Analyst R Programming information

See Columbia, PA salary details

$32.9K

$80.1K

$131.7K

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

As of Sep 12, 2026, the average yearly pay for afternoon data analyst r programming in Columbia, PA is $80,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $94,000.00 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 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 cities near Columbia, PA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Columbia, PA with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Columbia, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,055 per year, or $38.5 per hour.

Data Analyst

Yocumtown, PA • On-site

Amphenol TCS
Electrical Equipment, Appliance, and Component Manufacturing • 1 - 5K employees
Learn more about Amphenol TCSexternal

Full-time

Posted 16 days ago

Key responsibilities

  • Support engineering teams by transforming raw operational data into reliable reports and analysis.

  • Build and maintain dashboards, SQL queries, and Python scripts to automate data processes and improve data accuracy.

  • Conduct root-cause and trend analysis to identify issues and opportunities for improvement.

Job description

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.


Position: Data Analyst

Location: Etters, PA

Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the Datacom/Telecom market (AI, ML, GPUs, Servers, Switches, Routers, Storage). Our products help to enable the artificial intelligence revolution by helping major Tier 1 Hyperscale Data Centers, their OEMs and break-out AI customers to innovate globally. Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are currently seeking detail-oriented, technically skilled Data Analysts to join our engineering team. We're hiring across experience levels, from junior to senior.

RESPONSIBILITIES:

The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and analysis that drives decision-making. Working alongside data scientists and software engineers, you will gather requirements, build and maintain dashboards, and improve the accuracy and consistency of data across multiple systems. Scope and level of ownership will be tailored to the candidate's experience.

KEY RESPONSIBILITIES:

  • Collect, clean, and validate data from multiple engineering systems, reconciling inconsistencies across sources
  • Partner with engineering stakeholders to understand reporting needs and translate them into clear, actionable dashboards and reports
  • Build and maintain SQL queries and Python scripts to automate recurring data pulls and reduce manual reporting work
  • Conduct root-cause and trend analysis to surface issues and opportunities for improvement
  • Maintain documentation for data sources, definitions, and reporting logic so outputs are consistent and repeatable across the team
  • Perform data quality checks, flagging and resolving discrepancies before they reach stakeholders
  • For more senior candidates: lead requirements-gathering on complex initiatives and mentor junior analysts

QUALIFICATIONS:

A good candidate should have 3+ years of experience as a Data Analyst or in a similar analytics role; required experience will scale with the level of the role.

  • Bachelor's degree in Data Science, Applied Mathematics, Statistics, Analytics, or a related field required. MS preferred.
  • Comfort working with messy, real-world data, including cleaning, reconciling, and validating across multiple sources
  • Strong communication skills, able to gather requirements from non-technical stakeholders and explain findings clearly to mixed audiences
  • Experience mentoring or reviewing the work of others is a plus for more senior candidates

TECHNICAL EXPERTISE:

  • SQL skills, with the ability to write queries beyond pulling pre-built reports
  • Proficiency in Python (pandas or similar) for data cleaning, transformation, and automation
  • Experience with a BI/visualization tool (e.g., Tableau, Looker, Power BI)

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/

Amphenol TCS logo

About Amphenol TCS

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Nashua, NH, US

Year founded

1968

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