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Afternoon Data Analyst R Programming Jobs in Minnesota

Sanford Health

Quality Data Analyst

Bemidji, MN · On-site

$24/hr

No Department Details The Data Engineering team is a collaborative, fun and dynamic group. We ... Learn, understand and analyze process workflows within various functional areas to best understand ...

AG Technologies

Data Analyst

Minneapolis, MN · On-site

... data from Act as the primary resource to educate providers on the required file standards and ... integration developer 2-years of experience with standard health care file format including CCD ...

Horizontal Talent

Sr Data Analyst

Eden Prairie, MN · On-site +1

$22 - $40/hr

Join a dynamic enterprise data team as a Senior Data Engineer supporting large-scale healthcare ... Collaborate with data, analytics, and governance partners to support enterprise information ...

DHL Supply Chain

Business Data Analyst II

Virginia, MN · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands‑on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

New

Collabera

Business Data Analyst

Eagan, MN · On-site

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 ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · Hybrid

$121K - $176K/yr

Ten (10) or more years of data analytics experience within an EPC (Engineering, Procurement, and Construction) company. Demonstrated experience working across business domains including Safety ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · On-site

$121K - $176K/yr

Ten (10) or more years of data analytics experience within an EPC (Engineering, Procurement, and Construction) company. Demonstrated experience working across business domains including Safety ...

Xcel Energy

Senior/Principal Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

Position Summary for Sr Data Analyst Responsible for defining, implementing and supporting advanced ... Programming: Develop efficient and high quality code; follow solid validation process to ensure ...

Judge Group, Inc.

Data Management Analyst

Minneapolis, MN · On-site

$53 - $57/hr

This position focuses on business and data analysis and does not include application development, data engineering, cloud administration, or database administration responsibilities. What You'll Do

Legence

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 ...

legence

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 ...

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Afternoon Data Analyst R Programming information

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 are the most commonly searched types of Data Analyst R Programming jobs in Minnesota?

The most popular types of Data Analyst R Programming jobs in Minnesota are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Minnesota?

For Afternoon Data Analyst R Programming jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Minnesota look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Minnesota are:

What cities in Minnesota are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Minnesota with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Quality Data Analyst

Bemidji, MN • On-site

Sanford Health
Health Care and Social Assistance • 10K+ employees
Learn more about Sanford Healthexternal

$24/hr

Full-time

Posted 27 days ago

Key responsibilities

  • Design, develop, test, and deploy custom reports, database queries, and data exports.

  • Validate data pipelines, perform structured testing of data transformations, and monitor data quality standards.

  • Analyze process workflows and identify improvements related to data reporting, extraction, and analytics.

Sanford Health rating

6.7

Company rating: 6.7 out of 10

Based on 561 frontline employees who took The Breakroom Quiz

Job description

Sanford Health, the largest rural health system in the United States, is dedicated to transforming the health care experience and providing access to world-class health care in America's heartland.

Work Shift:

8 Hours - Day Shifts (United States of America)

Scheduled Weekly Hours:

40

Compensation:

Salary Range: $24.00 - $38.50 Pay starts at $24 and increases according to years of applicable experience.

Union Position:

No

Department Details

The Data Engineering team is a collaborative, fun and dynamic group. We strive to innovate and improve the process to bring quality data to our end users.
This role includes a significant emphasis on data engineering quality assurance, including validation of data pipelines, structured testing of data transformations, establishing data quality standards, and ongoing monitoring to ensure accurate and reliable analytics and reporting.

Summary

Perform data integration to and maintenance of applicable databases and supporting databases. Independently seek out additional information, knowledge and training to further understand the database system.

Job Description

Learn, understand and analyze process workflows within various functional areas to best understand improvements and associations, specifically with relation to data reporting, extraction and analytics. Design, develop, document, test and deploy custom reports, database smart queries and data exports. Must be knowledgeable and experienced using report writing tools and embrace new responsibilities and change associated with the database. Provide accurate information to support enterprise business, communication and fundraising decisions. Collect, organize, segment, analyze, validate and disseminate significant amounts of information to communicate performance as compared to identified key performance indicators. Use database reporting environment and complex queries to develop and deploy standard, ad-hoc and custom reports, communications and dashboards in a manner suitable to those receiving it, including both internal and external recipients. Establish and implement processes, including potential automation, to streamline the extraction of data that results in accurate, user-friendly reports, analytics and mass communications. Identify, analyze, research and interpret trends or patterns within complex data sets to provide recommendations and possible solutions. Use logic and intuition to make inferences about the meaning of the data and arrive at conclusions that translate to performance measurement, improvement and outcomes. Use appeal information to monitor and analyze return on investment of various communication activities, including events, mailings and digital communications. Utilize outside sources, including social media and digital analytics, to monitor online engagement and marketing performance. Assist foundation leadership in creating and executing the data management strategy, making recommendations to improve data flow, availability and quality. Work closely with all areas of the organization to develop an understanding of business requirements and goals to provide best service. Proactively seek improvement and monitor feedback to make recommendations for information system modifications needed to support effective and accurate reporting and analysis for the organization.

Qualifications

Bachelor's degree required. In lieu of education, leadership may accept six years of applicable experience.
Previous experience of two or more years in business, finance, data science, statistics, information management, analytics, fundraising or related field is preferred. Previous experience operating reporting and analytic tools preferred.

Sanford is an EEO/AA Employer M/F/Disability/Vet.


If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-949-5678 or send an email to talent@sanfordhealth.org.

What Sanford Health employees say

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About Sanford Health

Sourced by ZipRecruiter

Sanford Health is one of the largest and fastest-growing not-for-profit health systems in the United States. We're proud to offer many development and advancement opportunities to our nearly 50,000 members of the Sanford Family who are dedicated to the work of health and healing across our broad footprint.

Industry

Health care and social assistance and hospitals

Company size

10,000+ Employees

Headquarters location

Sioux Falls, SD, US

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