ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Emmaus, PA

MillerKnoll

Senior Programmer Analyst

East Greenville, PA · On-site

$43.25 - $58.50/hr

... data integrity. • Perform additional responsibilities as required to support manufacturing ... • Hands‑on programming experience within ERP and manufacturing systems. • Experience ...

Danaher

Digital Analyst Internships

Allentown, PA · On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Johnstone Supply

HVAC Inventory Analyst - Travel Required

Palmer, PA · On-site

$55K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in a field like statistics, data analytics, business analytics, supply chain management, or industrial engineering * 3+ years of experience in inventory, operations, or supply chain ...

FocusKPI

Marketing Operations Analyst

Allentown, PA · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Victaulic

MDM Systems Analyst

Easton, PA · On-site

Employ strong Python and programming skills to quickly resolve data discrepancies and build ... Perform analysis and determine root-cause of problems. * Raise issues and recommend optimal ...

Victaulic

MDM System Analyst

Easton, PA · On-site

Employ strong Python and programming skills to quickly resolve data discrepancies and build ... Perform analysis and determine root-cause of problems. * Raise issues and recommend optimal ...

Victaulic

MDM Systems Analyst

Easton, PA · On-site

Employ strong Python and programming skills to quickly resolve data discrepancies and build ... Perform analysis and determine root-cause of problems. * Raise issues and recommend optimal ...

Victaulic

MDM System Analyst

Easton, PA

Employ strong Python and programming skills to quickly resolve data discrepancies and build ... Perform analysis and determine root-cause of problems. * Raise issues and recommend optimal ...

NFI Industries

Supply Chain Engineer II

Kutztown, PA · On-site

Establishes and implements performance KPIs, measures, and data analytics * Leads ongoing proactive ... Programming skills to manipulate large data-sets * Database skills, especially through SQL, Access ...

previous page

Showing results 41-60

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

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 Aug 16, 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Emmaus, PA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Emmaus, PA 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:

Afternoon Data Analyst R Programming jobs near you
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.

AI / Machine Learning Engineering Lead

Everest Insurance

Warren, NJ • On-site

$180K - $220K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Title:
AI / Machine Learning Engineering Lead
Company:
Everest Reinsurance Company
Job Category:
Technology
Job Description:
About Everest:
Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
About the Role:
We are looking for a talented AI Solution Engineer to join our innovative team. This role involves designing and implementing advanced AI models to solve complex business problems, particularly within the insurance sector. The ideal candidate will have a strong statistical background and be proficient in machine learning and data analysis.
This is a hybrid position based in Warren, NJ working 3 days onsite, 2 remote.
We are not considering fully remote candidates at this time.
Key Responsibilities:
  • Design and Develop AI Models: Create and implement AI models with a robust statistical foundation. Ensure models are scalable and can be integrated into existing systems.
  • Performance Evaluation: Develop and utilize metrics to evaluate the performance of AI models. Continuously monitor and refine models to maintain high performance and accuracy.
  • Data Analysis: Analyze large datasets to extract meaningful insights and patterns. Validate AI models against existing benchmarks and datasets.
  • Collaboration: Work closely with data scientists, software engineers, and other stakeholders to align AI solutions with business objectives. Communicate findings and recommendations to non-technical team members.

Skills Needed:
  • Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with frameworks such as TensorFlow, PyTorch, or similar.
  • Statistical Analysis: Strong background in statistics and probability. Ability to apply statistical methods to real-world data.
  • Programming: Expertise in Python and/or R for data analysis and model development. Familiarity with SQL and other database technologies.
  • Data Analysis: Skilled in data preprocessing, cleaning, and transformation. Experience with data visualization tools to present findings effectively.
  • Insurance Domain Knowledge: Experience working with insurance datasets, including claims and underwriting data.
  • Understanding of industry-specific challenges and regulatory requirements.

Qualifications:
  • Education: A bachelor's degree in computer science, Statistics, Data Science, or a related field is required. A master's degree or relevant certifications (e.g., in machine learning or data science) are a plus.
  • Experience: 7-9 years of overall experience, including 3-5+ years in AI/ML development and deployment. Prior experience in the insurance industry is highly desirable.
  • Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to work collaboratively in a team environment.
  • Adaptability: Ability to stay current with the latest AI trends and technologies and apply them to improve existing solutions.

The base salary range for this position is $180,000 - $220,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
#LI-KG1
#LI-Hybrid
What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
  • Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
Regular
Time Type:
Full time
Primary Location:
Warren, NJ
Additional Locations:
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.
Everest U.S. Privacy Notice | Everest (everestglobal.com)

Apply