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Afternoon Data Analyst R Programming Jobs in Bethlehem, PA

GARGI TECHNOLOGIES INC

Data Analyst

Pennsburg, PA

Collaborate with cross-functional teams including engineering, product, and business stakeholders ... Perform exploratory data analysis (EDA) and feature engineering. * Monitor model performance and ...

New

DPDHL

Business Data Analyst I

Bethlehem, PA

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DHL

Business Data Analyst I

Bethlehem, PA · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Varsity Tutors

Data Science Tutor

Allentown, PA · Remote

$40/hr

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 ...

Guardianlife

Data Exchange Analyst II

Bethlehem, PA · On-site

$59K - $88K/yr

... data engineers, and with external benefit administration companies. You have: * A history of ... Demonstrated analytical skills * Ability to function in a team environment and build strong working ...

Victaulic

Data & Analytics Developer

Easton, PA · On-site

We are seeking a Data & Analytics Developer who combines genuine technical aptitude with deep knowledge of our business operations. This role is well suited for a high-performing individual who has ...

Victaulic

Data & Analytics Developer

Easton, PA

We are seeking a Data & Analytics Developer who combines genuine technical aptitude with deep knowledge of our business operations. This role is well suited for a high-performing individual who has ...

Tyndale

Business Data Engineer II

Pipersville, PA · Hybrid

This includes performing more complex reporting data analysis, creating customized business reports ... The Business Data Engineer Level 2 collaborates with Supervisors or Level III Engineers on assigned ...

Tyndale

Business Data Engineer II

Pipersville, PA · Hybrid

$95K - $100K/yr

This includes performing more complex reporting data analysis, creating customized business reports ... The Business Data Engineer Level 2 collaborates with Supervisors or Level III Engineers on assigned ...

Tyndale

Business Data Engineer II

Pipersville, PA · Hybrid

$95K - $100K/yr

This includes performing more complex reporting data analysis, creating customized business reports ... The Business Data Engineer Level 2 collaborates with Supervisors or Level III Engineers on assigned ...

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

Afternoon Data Analyst R Programming information

See Bethlehem, PA salary details

$33.6K

$81.7K

$134.4K

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

As of Jun 14, 2026, the average yearly pay for afternoon data analyst r programming in Bethlehem, PA is $81,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,800.00 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 Bethlehem, PA? The most popular types of Data Analyst R Programming jobs in Bethlehem, PA are:
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Afternoon Data Analyst R Programming jobs near you

Data Analyst

GARGI TECHNOLOGIES INC

Pennsburg, PA

Other

Posted 2 days ago

Job description

 Data Scientist | Full-Time

🚀 We''re Hiring: Data Scientist

Are you passionate about turning data into actionable insights? We are looking for a Data Scientist who can leverage advanced analytics, machine learning, and statistical modeling to solve complex business problems and drive data-driven decision-making.

Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  • Build, validate, and deploy machine learning models for predictive and prescriptive analytics.
  • Develop data pipelines and workflows to support data collection, processing, and reporting.
  • Collaborate with cross-functional teams including engineering, product, and business stakeholders.
  • Create dashboards, visualizations, and reports to communicate findings effectively.
  • Perform exploratory data analysis (EDA) and feature engineering.
  • Monitor model performance and recommend improvements as needed.

Required Skills & Qualifications

  • Bachelor''s or Master''s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 2+ years of experience in Data Science, Machine Learning, or Analytics roles.
  • Strong proficiency in Python and SQL.
  • Experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
  • Solid understanding of statistics, probability, hypothesis testing, and predictive modeling.
  • Experience working with data visualization tools such as Tableau, Power BI, or Looker.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
  • Experience handling structured and unstructured datasets.

Preferred Qualifications

  • Experience with NLP, Deep Learning, Computer Vision, or Generative AI projects.
  • Familiarity with big data technologies such as Spark, Hadoop, or Databricks.
  • Experience deploying machine learning models in production environments.
  • Knowledge of MLOps practices and tools.

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