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Afternoon Data Analyst R Programming Jobs in Columbia, PA

Create test parameters and participate in testing, data analysis, and implementation of new ... R), and Design of Experiments (DOE) * Ability to develop and manage Process Control Plans and ...

Create test parameters and participate in testing, data analysis, and implementation of new ... R), and Design of Experiments (DOE) * Ability to develop and manage Process Control Plans and ...

Create test parameters and participate in testing, data analysis, and implementation of new ... R), and Design of Experiments (DOE) * Ability to develop and manage Process Control Plans and ...

Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

... R&R's, long term stability, FAI's, Cmk's and Cpk's. * Support the analysis of defined risk areas ... analysis, DOE, passive data collection (PDC) and or basic technology searches and development ...

Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

... R&R's, long term stability, FAI's, Cmk's and Cpk's. * Support the analysis of defined risk areas ... analysis, DOE, passive data collection (PDC) and or basic technology searches and development ...

Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

Position: Quality Engineer Location: Valley Green, PA Amphenol High Speed Products Group is the ... R's, long term stability, FAI's, Cmk's and Cpk's. * Ability to analyze operating data, including ...

Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

Position: Quality Engineer Location: Valley Green, PA Amphenol High Speed Products Group is the ... R's, long term stability, FAI's, Cmk's and Cpk's. * Ability to analyze operating data, including ...

Development Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

Position:Quality Engineer Location: Valley Green, PA Amphenol High Speed Products Group is the ... R's, long term stability, FAI's, Cmk's and Cpk's. * Ability to analyze operating data, including ...

Development Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

Position: Quality Engineer Location: Valley Green, PA Amphenol High Speed Products Group is the ... R's, long term stability, FAI's, Cmk's and Cpk's. * Ability to analyze operating data, including ...

Create and execute test plans, analyze data, and implement process improvements * Assist with ... R, Design of Experiments (DOE) * Ability to develop and manage Process Control Plans and Process ...

Quality Engineer

York, PA · On-site

$75K - $95K/yr

... include CMM programming and inspection activities. The Quality Engineer also implements cost ... Displaying strong analytical skills, ability to learn new technologies and a s t r o n g machining ...

Showing results 41-60

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:

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.

Senior Cloud Data Engineer / Modern Data Stack Focus

Lititz, PA • On-site, Remote

WebstaurantStore
Wholesale • 5 - 10K employees

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Key responsibilities

  • Design and implement a standardized ELT-based ingestion framework into Snowflake.

  • Build and maintain scalable data pipelines for structured and semi-structured data from various sources.

  • Lead the migration from SQL Server to Snowflake and guide the development of the enterprise data ingestion ecosystem.


WebstaurantStore rating

8.0

Company rating: 8.0 out of 10

Based on 63 frontline employees who took The Breakroom Quiz


Job description

Job Summary

The Enterprise BI & Analytics Team serves as the enterprise data and analytics center of excellence at WebstaurantStore. We transform billions of data points across marketing, supply chain, operations, and customer experience into trusted data foundations and actionable insights. Leveraging a modern cloud data platform, scalable ELT architecture, and automated DataOps workflows, the team empowers smarter decisions, rapid growth, and new opportunities across the business. 

As a Senior Cloud Data Engineer, you will architect and own the next generation of our modern data ingestion and integration ecosystem. You will lead the development of a unified ingestion framework into Snowflake—building scalable, automated, and high-throughput data pipelines that power analytics and data products enterprise-wide. You will play a key role in our data warehouse modernization initiative, guide our transition from SQL Server to Snowflake, mentor engineers, and help define the future state of our cloud data architecture. 

Responsibilities

Senior Cloud Data Engineers are hands-on technical leaders and trusted partners to BI developers, analytics engineers, and cross-functional teams. You will drive innovation across our ingestion layer and enable scalable, reliable, and governed data movement throughout the enterprise. 

Core Responsibilities 

Modern Data Engineering & ELT Architecture 

  • Lead the design and implementation of a standardized ELT-based ingestion framework into Snowflake. 
  • Design scalable ingestion pipelines for structured and semi-structured data from APIs, databases, cloud storage, flat files, and collaboration platforms. 
  • Build and maintain Fabric Pipelines to support cloud-native orchestration and pipeline automation. 
  • Develop reusable Python libraries and ingestion accelerators to standardize engineering practices. 
  • Implement robust monitoring, logging, and data reliability engineering practices to ensure SLA adherence. 
  • Refactor and optimize legacy ingestion processes to align with modern data stack best practices. 
  • Drive and support the migration from SQL Server to Snowflake. 

Technical Leadership 

  • Act as the lead architect for enterprise ingestion strategy, mentoring engineers and guiding technical design decisions. 
  • Champion best practices in CI/CD, version control, automated testing, and infrastructure-as-code principles within the data engineering function. 
  • Perform code reviews and enforce architectural standards. 
  • Partner with BI leadership to plan capacity, prioritize initiatives, and execute delivery roadmaps. 
  • Foster a culture of engineering ownership, accountability, and innovation. 

Strategy & Execution 

  • Collaborate with business and analytics stakeholders to translate requirements into scalable ingestion designs. 
  • Evaluate emerging tools and technologies within the modern data stack ecosystem. 
  • Contribute to long-term cloud data strategy and architectural evolution. 
  • Ensure enterprise-grade governance, security, compliance, and data quality controls. 
Physical Requirements
  • Work is performed while sitting/standing and interfacing with a personal computer.
  • Requires the ability to communicate effectively using speech, vision, and hearing.
  • Requires the regular use of hands for simple grasping and fine manipulations.
  • Requires occasional bending, squatting, crawling, climbing, and reaching.
  • Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.
Remote Work Qualifications
  • Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
  • Access to a home router and modem.
  • A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
  • A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
  • The desire and ability to work and communicate with other team members via chat, webcam, etc.
  • Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.
Experience
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline; or equivalent experience. 
  • 7–10 years of experience in data engineering or cloud data development roles. 
  • 5+ years of hands-on Snowflake experience, including ingestion architecture, performance optimization, and workload management. 
  • 4–6 years building pipelines using Microsoft Fabric Pipelines or comparable orchestration frameworks. 
  • 4–6 years of Python development for data automation and pipeline engineering. 
  • 5+ years of advanced SQL experience, including deep expertise in SQL Server and CDC methodologies. 
  • 5+ years operating in Agile/Scrum delivery environments. 
  • 3+ years in a technical leadership capacity within data engineering initiatives. 
  • Experience with event-based ingestion, streaming pipelines, or data contract–driven architectures. 
  • Experience with Qlik Replicate and dbt Cloud. 
  • Microsoft Azure experience. 
  • Relevant cloud or data platform certifications preferred. 
Education

This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.

Desired Traits & Skills
  • Expertise in cloud data warehouse architecture and scalable ELT frameworks. 
  • Strong command of Snowflake internals, optimization strategies, and ingestion design patterns. 
  • Advanced Python and SQL proficiency. 
  • Experience implementing data observability and pipeline reliability solutions. 
  • Deep understanding of dimensional modeling and enterprise data warehousing concepts. 
  • Proven ability to lead complex modernization initiatives. 
  • Strong stakeholder engagement and technical communication skills. 
  • Ability to thrive in a fast-paced, growth-oriented environment. 
  • Passion for building reliable, scalable, and future-ready data platforms. 
Company Overview

The foodservice professional’s premier source for restaurant equipment, supplies, and knowledge online. Our purpose is to empower and equip people to run their businesses more profitably and efficiently.

Benefits
  • Medical
  • Vision
  • Dental
  • PTO
  • Paid Maternity Leave
  • Paid Parental Leave
  • Life Insurance
  • Disability
  • Dependent Care FSA
  • 401(k) matching
  • Employee Assistance Program
  • Wellness Incentives
  • Company Discounts
  • AT&T & Verizon Discount
  • Bonus Opportunities
  • Accident Insurance
  • Critical Illness Insurance
  • Adoption Assistance
Available at HQ Locations Only
  • On-Site Fitness Centers
  • Dog-friendly Offices

What WebstaurantStore employees say

Pay

Benefits

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