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Afternoon Data Analyst R Programming Jobs in Emmaus, PA

Job Summary The Quality & Engineering Data Analyst delivers scalable reporting and analytics for Quality, Engineering, and cross functional teams by building and maintaining Python applications, Qlik ...

Job Summary The Quality & Engineering Data Analyst delivers scalable reporting and analytics for Quality, Engineering, and cross functional teams by building and maintaining Python applications, Qlik ...

New

Job Summary The Quality & Engineering Data Analyst delivers scalable reporting and analytics for Quality, Engineering, and cross functional teams by building and maintaining Python applications, Qlik ...

Analyze warranty, returns, voice of customer data, and engineering project data to identify trends ... and improvement opportunities. * Build and automate recurring data pipelines using Power Query ...

New

AVP, Technical Data Analyst

Warren, NJ · On-site

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). * Experience working in Cloud native technologies * Strong experience in Data Modeling, Data Governance ...

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). * Experience working in Cloud native technologies * Strong experience in Data Modeling, Data Governance ...

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). * Experience working in Cloud native technologies * Strong experience in Data Modeling, Data Governance ...

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 ...

MES Software Engineer/Data Analyst

Breinigsville, PA · On-site

$108K - $130K/yr

Collaborate with data science and AI teams to integrate predictive analytics, machine learning, and ... Programming experience in SQL, Python, C#, JavaScript, .NET * Knowledge of REST APIs, OPC UA, MQTT ...

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Afternoon Data Analyst R Programming information

See Emmaus, PA salary details

$32.7K

$79.4K

$130.7K

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 Emmaus, PA is $79,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,200.00 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Emmaus, PA?

For Afternoon Data Analyst R Programming jobs in Emmaus, PA, the most frequently searched job titles are:

What cities near Emmaus, PA are hiring for Afternoon Data Analyst R Programming jobs?

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Emmaus, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,417 per year, or $38.2 per hour.

Data Analyst

Colmar, PA • On-site

Dorman Products, Inc.
Motor Vehicle Manufacturing • 1 - 5K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Dorman Products rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz


Job description

Dorman was founded on the belief that people should have greater freedom to fix motor vehicles. For over 100 years, we have been driving new solutions, releasing tens of thousands of aftermarket replacement products engineered to save time and money, and increase convenience and reliability. Founded and headquartered in the United States, we are a pioneering global organization offering an always-evolving catalog of automotive, heavy-duty and specialty vehicle products. Today, we have more than 3,800 employees across 29 different locations, with a family of brands that also includes SuperATV and Dayton Parts. Reaching a revenue of $2.13 billion in 2025, Dorman is publicly traded under the stock ticker DORM.
Everyone who works at Dorman is called a Contributor. We need everyone, regardless of role and experience, to contribute to our success. That means everyone has a unique ability to make an impact on the business. We encourage all our Contributors to bring their authentic selves to work. The freedom to pursue new ideas, offer different perspectives, and grow in your career is fundamental to working at Dorman.
Job Summary
The Quality & Engineering Data Analyst delivers scalable reporting and analytics for Quality, Engineering, and cross functional teams by building and maintaining Python applications, Qlik Sense applications, Business Objects reports, and automated Excel-based reporting. The role transforms Quality and Engineering data into accurate KPIs and actionable insights while applying foundational statistical methods to assess performance trends. The Data Analyst also develops and automates data pipelines, improves legacy manual reports, and creates structured datasets that support Quality and Engineering analytics. A key responsibility is gathering and translating business requirements into clear technical specifications, partnering closely with data developers and system teams. The role collaborates across Quality, Engineering, and Procurement, and regularly prepares concise, executive-ready insights for leadership.
This role is onsite in our corporate headquarters in suburban Philadelphia (Colmar, PA) with the opportunity to remotely on Fridays.
Applicants must be authorized to work in the United States without current or future employer sponsorship. Visa sponsorship is not available for this position.
Primary Duties
  • Build and maintain Qlik Sense dashboards, Excel-based reporting, and Business Objects outputs to deliver accurate, validated KPIs.
  • Develop, enhance, validate, and maintain forecasting and predictive analytics models using Python to identify risks, uncover opportunities, and support proactive business decision-making.
  • Develop clear, executive-ready data visualizations and reporting materials tailored for leadership.
  • Analyze warranty, returns, voice of customer data, and engineering project data to identify trends and improvement opportunities.
  • Build and automate recurring data pipelines using Power Query, Power Pivot, Excel automation, and SQL as needed.
  • Redesign legacy manual reports, improving efficiency, sustainability, and alignment with standard reporting logic.
  • Lead requirements gathering, translate business needs into technical specifications, and maintain documentation for processes and data definitions.
  • Apply foundational statistical methods to assess and validate quality and operational performance.
  • Collaborate across Engineering, Quality, Procurement, and Manufacturing while advising on data structure, reporting best practices, and leadership insights.

Qualifications
  • Ability to analyze large datasets and translate findings into actionable insights.
  • Strong communication skills for both technical and non-technical stakeholders.
  • Proficiency in data visualization and KPI storytelling for senior leadership.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Strong problem-solving and critical-thinking capability.
    High attention to detail in reporting and documentation.
  • Ability to collaborate effectively across cross-functional teams.
  • Physical Requirement: Capability to lift 20 pounds.
  • Working Conditions: While performing the duties of this job, the employee is regularly required to reach, swivel, carry items from one location to another, and speak and actively listen. Noise level is usually moderate.

Education / Experience
  • Bachelor's degree in Engineering, Data Analytics, Statistics, Computer Science, or related field.
  • 2-5 years of experience in analytics, data reporting, or engineering/quality support roles.
  • Hands-on experience with Power Query, Power Pivot, and Excel automation.
  • Experience building dashboards in Qlik Sense or similar BI tools.
  • Experience using Python for data analysis, forecasting, automation, and process improvement initiatives.
  • Familiarity with SAP Business Objects (BOBJ/WebI) reporting or willingness to learn.
  • Experience with warranty, returns, QI metrics, or engineering process data (Preferred).
  • Experience extracting and integrating data via APIs, including use of workflow automation tools such as Zapier (Preferred).
  • Experience supporting analytics developers and IT partners (Preferred).

#LI-EK1
The US base salary range for this full-time position is $76,200.00 to $111,900.00. This role is also eligible for a bonus. The actual base pay offered to the successful candidate will depend on multiple factors, including but not limited to job-related knowledge and skills, experience, business needs, geographical location, and internal pay equity. Compensation decisions are made based on the specific facts and circumstances of each role and candidate.
As a Dorman US contributor, you (and eligible dependents, as applicable) will have access to medical, dental, vision, basic life insurance, paid time off (sick/vacation), and Paid Parental Leave. U.S. employees are entitled to paid holidays, floating holidays, and paid time off starting in their first year of employment depending on hire date. You are also able to participate in our 401k retirement plan (with company match and profit-sharing) and Discounted Employee Stock Purchase Plan.
Dorman Products is an equal opportunity employer; we value a combination of ideas, perspectives, and cultures at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sex, gender identity, sexual orientation, age, marital status, veteran status, or disability status. EEO/AA Employer M/F/D/V. www.DormanProducts.com

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