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Afternoon Data Analyst R Programming Jobs in Mainland, PA

Jj

Data Scientist, DePuy Synthes

West Chester, PA

  • Retirement

  • PTO

Competency using and writing scripts with the R Programming language to analyze data is required. * Ability to work efficiently with general or limited supervision, self-learn, and self-seek ...

Johnson & Johnson

Analyst, R&D

West Chester, PA · On-site

  • Retirement

  • PTO

DePuy Synthes is recruiting fora(n) Analyst, R&DCategory ,locatedin Raynham, MA OR New Brunswick NJ ... Maintain and analyze procurement data toidentifycost, performance, and efficiency opportunities.

The Hartford

Investment Data Analyst

Wayne, PA

$70K - $90K/yr

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

Acquire, validate, and analyze structured and unstructured data from multiple sources to ensure ... Power BI, Alteryx, Python, R, Excel, or similar technologies. * Ability to manage multiple ...

Jj

Analyst, R&D

West Chester, PA · On-site

  • Retirement

  • PTO

DePuy Synthes is recruiting fora(n) Analyst, R&DCategory ,locatedin Raynham, MA OR New Brunswick NJ ... Maintain and analyze procurement data toidentifycost, performance, and efficiency opportunities.

Venerable

Senior Investment Data Analyst

West Chester, PA · On-site

$81K - $102K/yr

The Investment Data Senior Analyst will play a critical role in advancing Venerable's investment ... Programming experience in Python, R, or similar languages. * Experience with analytics, risk ...

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

Afternoon Data Analyst R Programming information

See Mainland, PA salary details

$33.1K

$80.5K

$132.5K

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 Mainland, PA is $80,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $94,500.00 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 cities near Mainland, PA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Mainland, 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 Mainland, PA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,521 per year, or $38.7 per hour.

Data Analyst, Specialist

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Re-posted 13 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description

Role Summary
The Data Analyst, Senior Specialist is responsible in driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and delivering actionable insights. This role involves extracting, cleaning and analyzing large datasets to identify trends, measure performance and support strategic initiatives.
Core Responsibilities
  • Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for large strategic initiatives.
  • Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.
  • Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.
  • Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.
  • Develops, owns and manages recurring analytic or reporting processes.
  • Actively develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Participates and presents during scheduled analytics seminars.
  • Participates in special projects and performs other duties as assigned.

Qualifications
  • Minimum 8 years of relevant work experience, with at least 4 years in advanced analytics, statistical modeling or business intelligence.
  • Bachelor's degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics.
  • Expertise in SQL for data querying, performance optimization, and database management.
  • Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development.
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools.
  • Ability to translate complex data insights into clear and actionable recommendations for business stakeholders.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

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