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Afternoon Data Analyst R Programming Jobs in Pipersville, PA

TechData Service Company LLC

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RWE/RWD Statistical Analyst(Remote)

Princeton, NJ · Remote

$90K - $165K/yr

Conduct observational data analysis, include data management, statistical programming ... Working knowledge and experience with bio statistical analysis and R and/or SAS programming.

KG Tiger

Statistical Programmer

Plymouth Meeting, PA · On-site

... analysis and forecasting, sampling, data modeling, R programming, machine learning, SPSS Excellent communication and interpersonal skills Qualifications Master's degree/Ph.D. in Statistics ...

Navtech, Inc.

ETL Data Analyst

Whitehouse Station, NJ · On-site

Job Title: ETL Data Analyst Job Location: Whitehouse Station, NJ Position Type: Long Term Contract ... SQL etc), programming (XML, Javascript, or ETL frameworks). * Knowledge of statistics and ...

Varsity Tutors

Data Science Tutor

Allentown, PA · Remote

$18 - $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 ...

Varsity Tutors

Data Science Tutor

Trenton, NJ · Remote

$18 - $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 ...

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

Afternoon Data Analyst R Programming information

See Pipersville, PA salary details

$34.6K

$84.2K

$138.5K

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 Pipersville, PA is $84,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,800.00 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 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 Pipersville, PA?

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

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

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

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

Cities near Pipersville, 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 Pipersville, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $84,185 per year, or $40.5 per hour.

Exchange Fee Data Analyst | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Per diem

Re-posted 23 hours ago

Job description

Overview
Are you passionate about financial services and data analysis? Join our dynamic team as an Exchange Fee Data Analyst and play a pivotal role in shaping the future of trading performance and cost management!
Potential Responsibilities Include:
  • Analyzing trade data to identify trends, patterns, and anomalies.
  • Calculating, reconciling, and validating exchange fees and market data costs.
  • Building and maintaining reports and dashboards related to trading performance and costs.
  • Developing and maintaining robust data models to support analysis.
  • Translating business requirements into data solution designs.
  • Supporting and building visualizations for end-users.
  • Collaborating with other teams to improve data quality and processes.

What we're looking for
Key Qualifications and Experience:
  • Financial Services Experience: Minimum of 5 years of experience within the financial services sector.
  • Trade Data Expertise: Proven understanding and experience with trade data, including various asset classes, trade flows, and the data supporting electronic trading.
  • Exchange Fees Knowledge: Familiarity with exchange fee structures, market data fees, and the complexities of fee calculations and reporting for trade data usage.
  • Data Analysis Skills: Proficiency in data analysis techniques, including statistical analysis, data cleaning, and modeling.
  • Technical Proficiency: Strong SQL skills for querying and data retrieval. Experience with data visualization tools such as Tableau, Power BI, or similar platforms. Familiarity with scripting languages like Python or R for more complex analysis is a plus.
  • Financial Acumen: Understanding of financial concepts, including investment banking, capital markets, derivatives, and the trade lifecycle.
  • Problem-Solving Abilities: Ability to identify and resolve complex data and financial issues.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to effectively communicate findings and insights to both technical and non-technical audiences.
  • Collaboration and Proactivity: Experience working effectively within a team environment and collaborating with various stakeholders across different departments.

Preferred Qualifications:
  • Degree: Finance, Economics, Data Science, or a related field.
  • Industry Knowledge: Deep understanding of regulatory requirements and industry standards related to trade data and exchange fees.
  • Project Management: Experience in managing projects and leading cross-functional teams.
  • Advanced Technical Skills: Proficiency in advanced data analysis tools and techniques, including machine learning and AI applications in financial data analysis is preferred.

What's In It For You
  • Our non-hierarchical culture allows employees of every level to thrive and make impact. We are not your typical trading firm - the environment is casual, collaborative and we focus on continuous development.
  • Relaxed dress code (jeans and sneakers are the norm and team jerseys every Friday)
  • Fully stocked kitchens for breakfast, lunch, snacks, and beverages
  • A forty thousand square-foot state of the art fitness facility with brand-new equipment, multi-purpose courts, group exercise classes, and locker room spaces
  • Discounts for dining, entertainment, shopping, travel, and attractions
  • Social events such as a poker tournament, holiday party, company outings, and more
  • On-site Wellness Center
  • On-site services such as a mailroom, barber, dry cleaning, and car maintenance
  • Opportunities to give back to the community through Susquehanna sponsored events and donation drives

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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