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Afternoon Data Analyst R Programming Jobs in Jamestown, ND

Quant Blueprint LLC

Reference Data Developer

Sydney, ND · On-site

$70 - $90/hr

Strong programming skills in .NET C# and or Python * Experience in Object Oriented Programming and ... Good interpersonal and communication skills for interacting with traders, quantitative analysts and ...

Current Opening

Administrative Clerk

Jamestown, ND · On-site

$17.26 - $23.30/hr

Afternoon deposit collections * Keys charge tickets * CRNA charge queue * Works closely with ... Analytical Ability - Gather and interpret data for data entry; diagnose common computer error ...

Current Opening

Surgical Technologist

Jamestown, ND · On-site

$23.27 - $34.91/hr

ANALYTICAL ABILITY - Required to gather and interpret data on physician preference cards, to ... R. Must demonstrate social sensitivity and the ability to communicate effectively with co-workers ...

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Jamestown, ND

Afternoon Data Analyst R Programming information

See Jamestown, ND salary details

$33.7K

$82K

$134.9K

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

As of Sep 6, 2026, the average yearly pay for afternoon data analyst r programming in Jamestown, ND is $81,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 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 cities near Jamestown, ND are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Jamestown, ND 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 Jamestown, ND as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,982 per year, or $39.4 per hour.

Reference Data Developer

Quant Blueprint LLC

Sydney, ND • On-site

$70 - $90/hr

Other

Posted 19 days ago

Job description

Overview

Susquehanna is a global market leader, technology is what makes Susquehanna's trading desks successful. Smarter, faster code makes the difference between winning or losing on the most competitive markets in the world. Every day our teams of traders and developers work together to push our proprietary trading systems to the edge of what is physically possible.

The team is tasked with maintaining financial instrument market data quality, access and pipeline in support of our trading activities.

With growing business data requirements and increasing datasets we need to expand the team. True to Susquehanna's culture, you will bring creative solutions to complex problems and thrive in an environment that encourages collaboration and knowledge sharing.

What you can expect from us:Real Impact

By integrating sophisticated coding techniques with innovative engineering ideas, we design and optimize systems that can process massive amounts of data while still ensuring high performance and stability. You'll see how your contributions toward developing and supporting leading-edge hardware and software technologies make a firm-wide impact that makes us all smarter, faster, and better.

Collaboration

You will partner closely with our Infrastructure, Project Management and Strategy Developer Teams to deliver and manage scalable and highly performant systems to support trading in the region and globally.

Growth

For many of our roles, we don't expect you to have prior industry experience in proprietary trading or financial services to succeed at Susquehanna International Group. We're looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow.

What we're looking for
  • Experience in developing systems to handle large data sets. Data enthusiast.
  • Strong database and SQL knowledge and understanding of Database Design Principles
  • Strong programming skills in .NET C# and or Python
  • Experience in Object Oriented Programming and understanding of Software Design Principles and Architecture patterns
  • Understanding of data structures and algorithms
  • Good interpersonal and communication skills for interacting with traders, quantitative analysts and other software developers
  • Ability to meet deadlines and work well under pressure in a fast paced, team based environment
Advantageous skills and experience
  • Experience with delegating work to others
  • Experience with managing work / running sprints
  • Experience or interest in financial instruments (i.e. equities, futures, options) and markets
  • Exposure or interest to trading environments
  • Familiarity with market data vendors such as Bloomberg and Reuters performance and identify solutions for improvement
Equal Opportunity Statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities.

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