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Afternoon Data Analyst R Programming Jobs in St Paul, MN

Harris

Facility Data Analyst

Saint Paul, MN · On-site

$54K - $81K/yr

What we're looking for in you Bachelor's degree in computer engineering, computer science ... Analyzing time-series data from physical processes (temperature, flow, pressure, vibration) Your ...

IWCO Direct

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Familiarity with Azure DevOps or similar project management and CI/CD tooling preferred. Physical ...

IWCO Direct

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Familiarity with Azure DevOps or similar project management and CI/CD tooling preferred. Physical ...

IWCO Direct LLC

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... Familiarity with Azure DevOps or similar project management and CI/CD tooling preferred. Physical ...

SYNTEGON

Master Data Analyst

New Richmond, WI · On-site

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Familiarity with engineering BOMs (Bills of Materials) , part numbering systems, or product data ...

Collabera

Business Data Analyst

Eagan, MN

Communicate requirements effectively for use by ETL & BI Engineers and QA Test Engineers * Verify source data to be used truly supports requirements * Assist in analyzing business needs against ...

SYNTEGON

Master Data Analyst

New Richmond, WI

$80K/yr

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Familiarity with engineering BOMs (Bills of Materials) , part numbering systems, or product data ...

SYNTEGON

Master Data Analyst

New Richmond, WI · On-site

$80K/yr

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Familiarity with engineering BOMs (Bills of Materials) , part numbering systems, or product data ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

As a part of the Properties Analytics team, our analysts work closely with business owners as well as technology and data product teams staffed with product managers and engineers. They support all ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

As a part of the Properties Analytics team, our analysts work closely with business owners as well as technology and data product teams staffed with product managers and engineers. They support all ...

TriOptus LLC

Sr. Data Analyst | TELECOMMUTE

Minneapolis, MN · On-site +1

$89K - $113K/yr

Collaborating with Data Engineers on the data exports required from data pipelines * Analyzing data and combining datasets to develop reporting products/solutions Team: * We are a team of 9 Data ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in St. Paul, MN

Afternoon Data Analyst R Programming information

See St Paul, MN salary details

$34.4K

$83.6K

$137.5K

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

As of Jun 17, 2026, the average yearly pay for afternoon data analyst r programming in St. Paul, MN is $83,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 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 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 the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

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 the most commonly searched types of Data Analyst R Programming jobs in St. Paul, MN? The most popular types of Data Analyst R Programming jobs in St. Paul, MN are:
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Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

Horizon Technologies Inc.,

Minneapolis, MN • On-site

Full-time

Posted 27 days ago

Job description

Company Description

Horizon Technologies is one of the fast growing, CA based organization specializing in IT consulting and business services for mid to large size organizations. Our team has excellent track record of providing excellent career Counseling and Placements in the shortest time. Over the last seven years, our client base of Fortune 100 companies has expanded dramatically

Job Description

Assist the Implementation Lead in collaborating with market management to identify and engage key providers to collect member encounter and clinical data from.

Act as the primary resource to educate providers on the required file standards and submission processes.

Define record layouts and mapping documents to transform provider files to the standard layout used for supplemental data processing.

Develop and maintain processes to transform and enrich provider files used for supplemental data processing.

Assist with defect, incident and problem management by interrogating data bases and processing logs to investigate issues.

Provide daily updates to tracking registers for reporting implementation and operational progress.

Qualifications

Ability to adapt to a fast-paced, quickly changing environment 

2-years of experience with SQL queries 

2-years development/implementation experience as an application/integration developer 

2-years of experience with standard health care file format including CCD, CCDA, HL7 etc. 

2-years of experience with MS SQL Server Client, Toad, MS Access, or equivalents 

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