ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in St Paul, MN

Mortenson

Data Analyst - Finance

Minneapolis, MN · On-site

Mortenson is currently seeking a Data Analyst - Finance who will be responsible for analyzing ... programming language such as SQL Server, Python, or R • Experience with analytics and ...

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis ... Familiarity with Python, R, or another statistical programming language * Excellent attention to ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Intermediately accomplished with Python or R * Knowledge of forecasting models including statistical analysis * Advanced data visualization skills; building interactive, executive ready dashboards in ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

Intermediately accomplished with Python or R * Knowledge of forecasting models including statistical analysis * Advanced data visualization skills; building interactive, executive ready dashboards in ...

Windquest

Sr Data Analyst - Crecera Brands

Minneapolis, MN · On-site

$75K - $110K/yr

Sr. Data Analyst ABOUT THE COMPANY Crecera Brands is the driving force behind Sportsman's Guide ... This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau ...

next page

Showing results 1-20

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 Jul 15, 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 popular job titles related to Afternoon Data Analyst R Programming jobs in St. Paul, MN? For Afternoon Data Analyst R Programming jobs in St. Paul, MN, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in St. Paul, MN look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in St. Paul, MN are:
What cities near St. Paul, MN are hiring for Afternoon Data Analyst R Programming jobs? Cities near St. Paul, MN with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Data Analyst - Finance

Data Analyst - Finance

Mortenson

Minneapolis, MN • On-site

Full-time

Re-posted 17 days ago

Mortenson rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Mortenson is currently seeking a Data Analyst - Finance who will be responsible for analyzing enterprise data and developing new visual analytics tools. The role involves identifying patterns, trends, and insights to assist management with operational decision making and policy formulation.
Responsibilities:
• Understand the assigned business challenge and develop a plan to identify, obtain, and analyze the necessary data to drive improved business performance
• Analyze internal enterprise data, coupling statistical methods and data science to translate Mortenson’s core data into actionable business insights and predictive models from a variety of data sources
• Ability to analyze business issues using a variety of tools and approaches, and effectively explain findings to diverse audiences
• Develop, analyze, and model operational, economic, management, and other organizational data
• Quantify the competitive performance of business segments
• Evaluate potential operational changes
• Design new approaches and methodologies
• Review program data consistently to provide corrective action when necessary based on information collected and current trends to maximize business performance
• Take complex statistical output and translate it to actionable insights for business leaders
• Driven by professional values that exemplify Mortenson’s values of teamwork, responsibility, safety, service and stewardship
• All other duties as assigned
Qualifications:
Required:
• Bachelor’s degree in Data Science, Economics, Mathematics, Statistics, Analytics, or related field or equivalent experience
• Minimum three years of related experience
• Knowledge and experience with standard programming language such as SQL Server, Python, or R
• Experience with analytics and visualization tools, including those noted earlier plus Microsoft PowerPoint, SharePoint and Power BI
• Strong ability to concisely present and explain complex information and findings
• Highly analytical, displaying an innate curiosity to understand and communicate the context for what we do and why we do it
• Shown ability to comprehend business and industry concepts
• Strong, self-motivated work ethic, willing to roll their sleeves up to show ­and tell, as needed
• Excellent written and verbal communication and interpersonal skills
• Experience and shown ability using statistical analysis software/tools such as SAS, Python, or R, and an advanced competency in Microsoft Excel
Company:
Mortenson is a U.S.-based, top-25 builder, developer and provider of energy and engineering services committed to helping organizations move their strategies forward. Founded in 1995, the company is headquartered in Minneapolis, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Mortenson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

M. A. Mortenson logo

About M. A. Mortenson

Sourced by ZipRecruiter

M. A. Mortenson is a prominent name in the construction industry, based out of Minneapolis, MN, US. Established in 1954 by M.A. Mortenson Sr., the company has over six decades of experience offering construction services that have contributed to building lasting infrastructures across various sectors, including healthcare, energy, corporate, and sports. Mortenson has proven its exceptional expertise through a range of complex building and facility projects across the US fulfilling the customer's specifications and exceeding their expectations. Moreover, the company's core values are outlined as ‘Do the Right Thing’, ‘We Before I’, ‘Inspire What’s Possible’, and ‘In it for the long haul’.

Industry

Manufacturing and construction

Company size

1,001 - 5,000 Employees

Headquarters location

Minneapolis, MN, US

Social media

FacebookTwitter

View All M. A. Mortenson Jobs

Apply