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Afternoon Data Analyst R Programming Jobs in Mainland, PA

The Hartford

Investment Data Analyst

Wayne, PA · On-site

$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 ...

The Hartford

Investment Data Analyst

Wayne, PA · On-site

$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 ...

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 ...

Operation IT

WEB ANALYTICS SPECIALIST

Philadelphia, PA · On-site

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

Operation IT

WEB ANALYTICS SPECIALIST

Philadelphia, PA · On-site

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

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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 Sep 13, 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.

Investment Data Analyst

Wayne, PA • On-site

The Hartford
Finance and Insurance • 10K+ employees
Learn more about The Hartfordexternal

$70K - $90K/yr

Full-time

Re-posted 21 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

Job description

Data Analyst - 87IB6E

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Overview of the role: The primary duties of the Investment Data Analyst is to drive and enhance data automation within Hartford Funds Investment Management Group. The Investment Analyst must achieve and maintain an expert knowledge of the firm's product line and the Asset Management Industry.

The successful candidate will possess the capacity to leverage a deep industry knowledge with a strong analytical background. The role will focus on centralizing all consumable data required by the team, which will contribute to maintaining a high level of data consistency and accuracy across the team and firm. In addition, the candidate should be a nimble learner who continuously seeks process enhancements.


Responsibilities of the role:

  • Maintain and enhance existing reporting functions by leveraging the in-house Data Warehouse and AI tools where applicable
  • Serve as the Investment Management Group data steward for the Data Warehouse
  • Serve as the main point of contact for standardizing and automating reporting across the team
  • Handle data requests from within and outside of the team including support of sales, marketing, and senior leadership
  • Work with IT to ensure a high level of quality for internal and external data
  • Work with IT to manage data processes among software vendors, internal data warehouse, and data providers
  • Oversee the maintenance and ongoing development of the Investment Research Library (SharePoint)
  • Produce and maintain Performance and Performance Attribution reports
  • Assist in preparing and manipulating data sets for potential file feed transmissions through AI

Qualifications:

  • Bachelor's Degree in Finance, Business Analytics, Statistics, Mathematics, or Computer Science required
  • Flexible and able to accept, create and manage change
  • Ability to work well independently and within a team
  • An eagerness to identify and implement process improvement opportunities
  • Interest in creative resolutions to complex assignments
  • Excellent communication skills
  • Strong organizational and prioritization skills
  • Experience with data visualization tools such as Tableau or PowerBI
  • Proficient in Microsoft Office, specifically Excel. Visual Basic (VBA) experience a plus
  • Working knowledge of Morningstar, Lipper, Bloomberg or Factset an advantage
  • 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 similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$70,000 - $90,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits

What The Hartford employees say

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Hours and flexibility

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Get the full story on Breakroom

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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