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Afternoon Data Analyst R Programming Jobs in Minnesota

Data Analyst

Bloomington, MN · On-site

$93K - $120K/yr

Expert knowledge in areas like Databricks, Python, generative AI, DevOps for analytics, business analysis, P&C analytics, or third-party data sources such as D&B is also desirable. Education Bachelor ...

Sr Data Analyst

Brooklyn Park, MN · On-site

$88K - $158K/yr

SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, PowerBI, Google Analytics and/or equivalent ... Develop data visualizations that clearly communicate complex insights * Demonstrate strong ...

Data Analyst

Bloomington, MN · On-site

$93K - $120K/yr

Expert knowledge in areas like Databricks, Python, generative AI, DevOps for analytics, business analysis, P&C analytics, or third-party data sources such as D&B is also desirable. Education Bachelor ...

Data Analyst

Minneapolis, MN · On-site

$93K - $120K/yr

Expert knowledge in areas like Databricks, Python, generative AI, DevOps for analytics, business analysis, P&C analytics, or third-party data sources such as D&B is also desirable. Education Bachelor ...

Expert knowledge in areas like Databricks, Python, generative AI, DevOps for analytics, business analysis, P&C analytics, or third-party data sources such as D&B is also desirable. Education Bachelor ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo,PowerBI,Google Analytics and/or equivalent technologies * Develop data visualizations that clearly communicate complex insights * Demonstrate strong ...

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 ...

... 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 ...

Senior EHS Systems & Data Analyst

Fridley, MN · On-site

$88K - $111K/yr

F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ... We are engineers at heart- putting ambitious ideas to work to generate real solutions for real ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Minnesota? The most popular types of Data Analyst R Programming jobs in Minnesota 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:
Value Based Care Data Analyst

Value Based Care Data Analyst

HealthPartners

Bloomington, MN • On-site

$50.32 - $75.48/hr

Full-time

Medical, Retirement

Posted 3 days ago


HealthPartners rating

7.8

Company rating: 7.8 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

131st of 865 rated healthcare providers


Job description

Job Description
HealthPartners is hiring a Value Based Care Data Analyst. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data analysts are responsible for driving adoption and use of data and analytic services and products. Data analysts work in collaborative scrum teams with developers, data scientists, and data engineers, and may share accountabilities in order to achieve sprint goals. They maintain a working knowledge of a business domain and its associated data, and provide visualization, analysis, validation, and consultation services. Together with their teams, they work on building scalable solutions to extract knowledge from data, and deliver that knowledge as needed and at scale.
ACCOUNTABILITIES:
• All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning
• Partners with domain experts, business groups, and data engineers to frame problems, model, clean and integrate data, and determine the best way to leverage that data in service of a goal
• Works with business partners to understand and create their "user stories;" they support opportunities to leverage data analytics in service of customer or business value
• Creates, deploys, monitors, and maintains highly interactive data visualizations
• Participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment and indexing, as well as domain-specific measurements (example: readmission rates)
• Works with their teams to ensure data accessibility, accuracy, and quality, and may act as data stewards by contributing to management of central data stores and metadata
• May provide consultative, data-driven support on product and business strategy development
• Sets up and executes test cases to validate that analytic and software solutions meet the business acceptance criteria
• Communicates solution tradeoffs to business partners to frame and influence project decisions
• Leverages internal and external sources to validate data accuracy and benchmark results
• Promotes and champions our security and de-identification standards, while they handle sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets).
REQUIRED SKILLS/ QUALIFICATIONS:
• Candidates must have a degree in economics, mathematics, business, computer science, data or social science, operations research, statistics, or a related quantitative field. Alternate experience and education in equivalent areas is acceptable. Experience in more than one area is strongly preferred.
• Four years direct experience using technical and analytical skills to extract, integrate, layout and interpret complex and disparate data sources
• Demonstrated experience using data visualization tools such as Microsoft Power BI, Tableau, etc.
• Demonstrated ability to tell stories using data
• Solid working experience with SQL and relational database design
• Programming skills using Python, R, etc. ("or similar")
• Demonstrated experience presenting findings and actionable recommendations
• Must be motivated, self-driven, curious, and creative
• Ability to communicate and demonstrate an ability to work with development teams, end users and business partners
• Demonstrated ability to support and complement the work of a diverse development and / or operations team
PREFERRED QUALIFICATIONS:
• Knowledge of health care operations
• Exposure to agile/scrum (including tools like JIRA)
• Experience using Azure Data Lake, DevOps, Power Automate, or other tools in the Azure Suite
• Working knowledge of medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI.
• Familiarity with software development, data and integration architecture
About Us
At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.
We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.
At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.
Benefits Designed to Support Your Total HealthAs a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.
Join us in our mission to improve the health and well-being of our patients, members, and communities.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.

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