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Afternoon Data Analyst R Programming Jobs in Maple Grove, MN

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 ...

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 ...

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 ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Surest Senior Data Analyst

Minnetonka, MN · Hybrid

$87K - $110K/yr

The Surest Benefit Analytics team is seeking a Senior Data Analyst to play a key role in advancing ... Partner with data science, engineering, and architecture teams to ensure BI capabilities remain ...

Working knowledge of analytics and statistical software such as R, Python, SAS, SPSS, or similar tools * Working knowledge of ETL processes and tools such as Alteryx, Airflow, Azure Data Factory, or ...

Working knowledge of analytics and statistical software such as R, Python, SAS, SPSS, or similar tools * Working knowledge of ETL processes and tools such as Alteryx, Airflow, Azure Data Factory, or ...

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Technical Master Data Analyst Collaborate with Innovative 3Mers Around the World Choosing where to ... Development and Engineering • Design, develop, and maintain application components and automation ...

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Showing results 1-20

Afternoon Data Analyst R Programming information

See Maple Grove, MN salary details

$34.8K

$84.6K

$139.3K

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

As of Jul 13, 2026, the average yearly pay for afternoon data analyst r programming in Maple Grove, MN is $84,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $99,300.00 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 Maple Grove, MN? For Afternoon Data Analyst R Programming jobs in Maple Grove, MN, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Maple Grove, MN look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Afternoon Data Analyst R Programming jobs? Cities near Maple Grove, MN with the most Afternoon Data Analyst R Programming job openings:
Sr Data Analyst

Sr Data Analyst

Target

Minneapolis, MN • Hybrid

$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,906 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $88,000.00 - $158,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision tolife through our values and culture.Learn more about Target here.

Target's distinctive brand love is infused throughout its many physical locations by the Properties teams. We have a direct and positive impact on the real estate, design, construction and maintenance of our stores, distribution centers and headquarters. Are you ready to help strategically grow Target's brand through leading-edge design, development, construction and preservation? Can you effectively balance the efficiencies of a large-design build company with the unique challenges and innovative solutions required by individual sites? Then take your place on one of our Properties teams, and help us make the most of Target's physical assets, both in the U.S. and overseas.

A Sr. Data Analyst role with our Property Analytics team means you will support and advance the data and analytics capabilities related to Target Properties' strategic initiatives to drive returns on capital spend in stores and reduce program expenses. 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 Properties strategic initiatives with data, reporting and analysis. Properties teams rely on this team of analysts to bring data to support decision making.

As a Sr. Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights.Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data.You will work within an agile environment which requires active participation in ceremonies and team meetings. In this role, you'll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education. This role specifically will support a new initiative requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will leverage in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions. This new capability is still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs.

About you:

  • BA/BS or equivalent experience

  • 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc.

  • Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.)

  • Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation

  • Experience developing metrics, reports, visualizations and/or statistics while documenting code and adhering to data management principles

  • Advanced proficiency in at least 1 visualization tool (i.e. Power BI, Domo, Tableau) with willingness and ability to learn additional visualizations tools

  • Knowledge of AB Testing methods, time series, S&OP planning, forecasting models including statistical analysis

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.


What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Target logo

About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US