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Afternoon Data Analyst R Programming Jobs in Minnesota

Ames Construction

Data Analyst

Burnsville, MN · On-site

Essential Functions * Back-End Development (Data Engineering & Modernization): Building out data ... Introductory experience with statistical analysis tools (e.g., Python, R) and data processing ...

Ames Construction

Data Analyst

Burnsville, MN · On-site

Essential Functions * Back-End Development (Data Engineering & Modernization): Building out data ... Introductory experience with statistical analysis tools (e.g., Python, R) and data processing ...

Ames Construction

Data Analyst

Burnsville, MN · On-site

Essential Functions * Back-End Development (Data Engineering & Modernization): Building out data ... Introductory experience with statistical analysis tools (e.g., Python, R) and data processing ...

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 ...

Mortenson

Data Analyst - Finance

Minneapolis, MN

$72K - $109K/yr

SUMMARY Mortenson is currently seeking a Data Analyst - Finance who will be responsible for ... Knowledge and experience with standard programming language such as SQL Server, Python, or R

HealthPartners

Data Analyst Principal

Bloomington, MN · On-site

HealthPartners is hiring a Data Analyst Principal - Product Owner. The Product Owner drives the ... Expert programming skills using Python, R, etc. ("or similar") * Demonstrated experience and skill ...

HealthPartners

Data Analyst Principal

Bloomington, MN · On-site

HealthPartners is hiring a Data Analyst Principal - Product Owner. The Product Owner drives the ... Expert programming skills using Python, R, etc. ("or similar") * Demonstrated experience and skill ...

HealthPartners

Data Analyst Principal

Bloomington, MN · On-site

$48.37 - $74.97/hr

HealthPartners is hiring a Data Analyst Principal - Product Owner. The Product Owner drives the ... Expert programming skills using Python, R, etc. ("or similar") * Demonstrated experience and skill ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

HealthPartners

Data Analyst Senior

Bloomington, MN · On-site

$86K - $109K/yr

Proficiency in Python, R, or similar programming languages * Strong analytical thinking and problem-solving skills * Proven ability to communicate insights through clear data storytelling

One Tech

Data Analyst

Minneapolis, MN · On-site

$130K - $138K/yr

One Tech Engineering is searching for a Data Analyst for a position located in Denver, Colorado or Minneapolis, Minnesota. The Data Analyst will respond to discovery requests from multiple state ...

Rocket55 LLC

Data Analyst

Minneapolis, MN · Hybrid

The ideal candidate combines deep technical expertise in data engineering and tracking implementation with a strong understanding of digital marketing platforms and performance analytics. You will ...

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 ...

Aon

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 ...

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Afternoon Data Analyst R Programming information

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 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 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.

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 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
Data Analyst

Data Analyst

Ames Construction

Burnsville, MN • On-site

Full-time

Posted 10 days ago

Job description

Ames Construction has been building America for more than 60 years, and the people who work here are the reason we continue to succeed.
We are a full-service, heavy civil and industrial contractor building critical infrastructure, including highways, bridges, mines, dams, rail, and more. Our teams take on challenging projects that keep communities safe, supply chains moving, and the country connected.
At Ames, we are Fueled by Family and Driven by Ownership. That means we look out for one another, take pride in what we build, and take responsibility for our actions, our results, and the long-term health of the company.
Guided by our core values of People, Team, Our Bond, Persistence, and Vision, we do what we say we will do, push through challenges and deliver work we're proud of.
When you join Ames, you're joining a company built for long-term success - where skilled people, strong teams, and disciplined execution come together to build careers and a better future.
We are looking for an entry-level Data Analyst to join our team and support the modernization of our company's data stack using Azure Databricks, GitHub, and Power BI. This role is ideal for someone early in their career who is enthusiastic about data engineering, analytics, AI, and cloud-first modernization. You will gain hands-on experience across the end-to-end data lifecycle-from ingestion through transformation and modeling to reporting-helping build scalable, governed datasets and analytics outputs.
Essential Functions
  • Back-End Development (Data Engineering & Modernization):
    Building out data pipelines and integrations across data sources to a cloud platform (Lakehouse, Data Warehouse) to support data transformation and modeling using SQL, Python and AI as well as assist with custom app support.
  • Data Quality and Governance Support:
    Implement data validation routines and monitor data integrity across systems. Debug and resolve data quality, pipeline reliability, and performance issues across the data stack. Contribute to data governance efforts by tagging and classifying datasets, maintaining metadata, and supporting compliance with organizational standards using Databricks Unity Catalog.
  • Front-End Development (Semantic Layer & Reporting):
    Help design and publish data models, schemas, and storage to simplify data access for business users. Support the creation and maintenance of reports and dashboards using Power BI, other visualization tools, and AI. Ensure outputs are accurate, user-friendly, and aligned with stakeholder requirements. Partner with security and infrastructure teams to secure and request access from data to reporting via Azure Key Vault, Databricks, custom apps, Power BI
  • Stakeholder Engagement and Request Intake:
    Engage with business users across departments to understand data needs and provide initial support for data requests. Document requirements, assist in scoping tasks, and escalate complex requests to senior team members for further evaluation.
  • Data Documentation and Best Practices:
    Maintain clear and organized documentation of data sources, pipeline logic, and reporting processes. Learn and apply best practices for data engineering, including modular coding, version control, and platform-specific standards.
  • Skill Development and Continuous Learning:
    Actively develop technical skills in Databricks, Py-Spark, SQL, and Python. Understand how data engineering contributes to broader organizational goals such as data democratization, AI readiness, and strategic decision-making.

Qualifications
  • Education: Bachelor's degree in data science, Statistics, Computer Science, Business, or equivalent work experience.
  • Experience: Internship, academic, or project-based experience in data engineering, analytics engineering, or a related field, including basic data modeling and relational database concepts. Demonstrated ability to build or support data workflows end-to-end (ingestion through transformation to reporting) in a way that improves data reliability and usability.

Technical Skills:
  • Experience in building and supporting data visualizations, such as Power BI, Excel, or Databricks Dashboards.
  • Familiarity with Github-based workflows and CI/CD fundamentals (branching, pull requests, code reviews) and basic monitoring/data-quality practices.
  • Strong skills in coding languages such as SQL, Python, or Py-Spark for data querying and extraction, transformation, and loading (ETL/ELT) processes across Lakehouse and warehouse environments.
  • Introductory experience with statistical analysis tools (e.g., Python, R) and data processing frameworks as well as working with structured and unstructured data.
  • Understanding data quality assurance practices and data validation techniques.
  • Familiarity with end-to-end data platforms, such as Databricks, Azure, or Google Cloud, is a plus.
  • Knowledge of custom app building via Microsoft Power Apps and Databricks Apps.
  • Familiarity with using AI-assisted tools to improve productivity and code quality while following data security and governance standards.

Soft Skills:
  • Demonstrates strong problem-solving skills and a detail-oriented mindset when working with data and code. Proactively identifies data issues and seeks guidance to resolve them.

Working Conditions
  • Location - This position will work out of our Burnsville, MN office.
  • Office environment - extensive sitting at desk and computer; some standing, bending at the waist, stooping, and reaching required; ability to lift 5-20 pounds occasionally.
  • Schedule: M-F, 8am -5pm
  • Compensation: $80,000-$105,000

Ames Construction is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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