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Afternoon Data Analyst R Programming Jobs in Hanover, PA

Senior Business Analyst

Sparks, MD · On-site

$88K - $114K/yr

They are looking for a data analyst to work with both the business and technical team to do data analysis and look at the old legacy system and understand the reports created by the WEBI developers.

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Build data analytics solutions using Azure Synapse serverless SQL pools and perform data engineering with Azure Synapse Apache Spark Pools. * Monitor, troubleshoot, and optimize data systems and ...

Data Engineer - onsite

Hanover, PA · On-site

$55 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Build data analytics solutions using Azure Synapse serverless SQL pools and perform data engineering with Azure Synapse Apache Spark Pools. * Monitor, troubleshoot, and optimize data systems and ...

Data Engineer

Hunt Valley, MD · On-site

$114K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer will be responsible for architecting, documenting, and developing data ... Perform data analysis and develop the data models to support ETL/ELT development * Complete complex ...

Create advanced analytical models and solutions to provide real-time insights for decision-makers ... Azure (DevOps, ML, ADLS Gen2); building and optimizing Spark ETL applications; building and ...

Senior Data Engineer

Hunt Valley, MD · On-site

$139K - $230K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Imagine loving what you do and where you do it. Job Category Data Analytics, Data Science ... Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming ...

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Afternoon Data Analyst R Programming information

See Hanover, PA salary details

$32.7K

$79.4K

$130.7K

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

As of Aug 17, 2026, the average yearly pay for afternoon data analyst r programming in Hanover, PA is $79,439.00, 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 Hanover, PA?

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

What job categories do people searching Afternoon Data Analyst R Programming jobs in Hanover, PA look for?

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

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

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Hanover, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $79,439 per year, or $38.2 per hour.

Data Science and Analyst

HILLANDALE GETTYSBURG LLC

York Springs, PA • On-site

Full-time

Re-posted 12 days ago


Hillandale Farms rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

334th of 438 rated food and drinks producers


Job description

Hillandale Farms is seeking a talented and curious Mid-Level Data Scientist & Analyst to join our growing data team. In this role, you will bridge exploratory analysis and production-grad modeling - Transforming raw data into actionable insights that drive business decisions. You will collaborate with management to generate metrics, build models, and clearly communicate results that support decision-making. THIS IS NOT A REMOTE POSITION


Requirements:

  • 3-5 years of hands-on experience in data science, analytics, or a related field.
  • Proficiency in Python (pandas, scikit-learn, NumPy, matplotlib/seaborn) or R.
  • Strong SQL skills - writing complex queries, CTEs, window functions.
  • Proficiency in Power BI for dashboard development and business reporting.
  • Solid understanding of statistics
  • Experience with version control (Git) and collaborative workflows.
  • Strong communication skills - ability to tell a story with data


Key Responsibilities:

Design and maintain data analytics solutions across the organization, working closely with business users to translate their needs into actionable insights and reporting through Power BI. Collaborate with management and company directors to identify opportunities, implement new analytical solutions, and enhance existing ones that support data-driven decision-making and drive operational efficiency across the organization.


Travel Requirements:

This role may require occasional travel, up to approximately 20% of the time, to support business operations across company locations.



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