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Afternoon Data Analyst R Programming Jobs in Idaho

... analytics and AI. Key Responsibilities * Participate as a member of a data science team. May ... Candidates with strong statistical programming and academic/scientific research backgrounds are ...

GIS Analyst

Caldwell, ID · On-site

$29.73 - $35.29/hr

Programming and data analysis tools including Python, R, and SQL used for GIS automation, data manipulation, and application support. * Interpretation and application of legal descriptions, deeds ...

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing ...

As a key leader on the Data Engineering team, the Data Platform Manager shapes the policies and ... The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all ...

As a key leader on the Data Engineering team, the Data Platform Manager shapes the policies and ... The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all ...

SummaryThe Data Platform Manager is critical to enabling the Data Engineering vision and strategy ... the reporting, analytics, and data science needs of the company. This includes managing the ...

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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.

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 Idaho? The most popular types of Data Analyst R Programming jobs in Idaho are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Idaho look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Idaho are:
Data Engineer - Senior Application Development Analyst

Data Engineer - Senior Application Development Analyst

Trinoor

Boise, ID

$120K - $145K/yr

Full-time

Retirement

Posted 13 days ago


Job description

**If you are a current Idaho Power employee, please apply through the Employee Portal.

Application Deadline:

07/16/2026 at 11:59 pm Mountain Time

# of Positions:

1

Job Type:

Regular

Job End Date:

Exemption Status:

Exempt

Pay Range:

$120,744.00 - $145,412.80 Annual

Minimum Age Requirement:

Job Description:

Idaho Power, located in the vibrant community of Boise, Idaho, is seeking a motivated Senior Data Engineer to join our Information Technology team. It's an exciting time to work for Idaho Power. Our work plays a critical role in communities we serve across Idaho and Oregon, and we're working hard to provide our customers with the safe, reliable, and affordable energy they depend on.

What does a Senior Data Engineer do for us?

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data solutions that translate complex business processes into a properly structured medallion architecture (bronze, silver, and gold layers). Leveraging tooling within Microsoft Synapse, Microsoft Fabric, and Power BI, the engineer develops robust data pipelines, integrates data from diverse sources, and ensures high data quality, consistency, and performance across each stage of data refinement. This role requires strong expertise in data modeling and transformation practices, including dimensional modeling techniques, enabling the progression of raw data into curated, business-ready datasets that support efficient analytics, and self-service BI across the organization.

The Senior Data Engineer collaborates closely with business stakeholders, analysts, and data scientists to understand analytics needs and transform them into optimized data models and semantic layers. They utilize modern Microsoft data platform capabilities-including dataflows, notebooks, pipelines, and lakehouse/warehouse architectures-to deliver reliable and scalable solutions. Additionally, the role involves performance tuning, data governance, Source Control, and continuous improvement of data processes to enable accurate, timely insights through Power BI dashboards and enterprise reporting solutions.


In addition to the meaningful work we do, we offer work-life balance, competitive pay and benefits, an employee incentive plan, and both a 401k employer-match and a pension plan, making Idaho Power one of the best employers in the state.

A COMPETITIVE CANDIDATE WILL HAVE

Knowledge of:

  • Extract, Transform, and Load (ETL/ELT) processes and tools such as Azure Data Factory / Synapse Pipelines, Microsoft Fabric Data Pipelines, Power BI Dataflows Gen2, Power Query, etc.
  • Medallion architecture design patterns (bronze, silver, gold) and lakehouse/warehouse concepts
  • Relational and distributed data systems, including dimensional modeling and semantic layer design
  • BI visualization and reporting tools, primarily Power BI, including dataset modeling and performance optimization
  • Azure and Microsoft analytics ecosystem, including Azure Synapse and Microsoft Fabric
  • Data governance, lineage, and security concepts within modern data platforms
  • Enterprise solution development practices and tools (Azure DevOps, CI/CD pipelines, Agile/Kanban methodologies)

Skills in:

  • Strong SQL development for data transformation and optimization
  • Experience with Python and/or Spark for data engineering workloads
  • Data modeling for analytics, including transforming curated data into business-ready structures
  • Power BI development, including data modeling, Data Analysis Expressions (DAX), and visualization best practices
  • Excellent communication and stakeholder engagement
  • Problem solving, troubleshooting, and root cause analysis in complex data environments
  • Organization and prioritization across multiple data initiatives

Ability to:

  • Work proactively in a collaborative team environment with minimal supervision while owning deliverables end-to-end
  • Translate complex business processes into scalable data solutions within a medallion architecture framework
  • Adapt quickly to evolving technologies within the Microsoft data ecosystem
  • Learn and understand business domains to align data models with organizational needs
  • Think critically, diagnose issues across distributed systems, and communicate effectively with both technical and non-technical stakeholders
  • Be resourceful, resilient, and continuously improve data processes and platform performance


MINIMUM REQUIREMENTS

Education/Experience:

  • BS in Computer Science and 3 years of directly relevant experience and/or formal, targeted hands-on training

OR

  • 7 years of directly relevant experience and/or formal, targeted hands-on training

Licenses & Certifications:

  • Project Management and/or programming language certification desirable


PHYSICAL REQUIREMENTS
This position requires working at a desk/computer for extended periods of time. It requires the use of office equipment, fine motor skills including typing on the computer, dialing phones, filing paper, and working in close proximity to other people. There may be occasional lifts of no more than 10 lbs. The above is a summary of the primary essential functions of the position. This job may require the performance of additional tasks assigned by company leaders or management. Questions regarding job requirements or accommodation requests should be directed to Human Resources.

#IPC1

Competencies:

Adaptability, Building Partnerships, Communication, Continuous Learning, Customer Focus, Decision Making, Initiating Action, Planning and Organizing, Work Standards

__________________________________

Need Assistance Completing Your Application?

Please contact our Recruiting Office if you have questions, require assistance or accommodation while applying for employment with Idaho Power Company:  Phone: 208-388-2965 or Email: jobs@idahopower.com

Idaho Power is an Equal Opportunity Employer

We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex (including pregnancy), age, sexual orientation, gender identity, genetic information, veteran status, physical or mental disability, marital status, and any other status protected by applicable federal and state laws.

Please note: Idaho Power will not provide sponsorship for obtaining an employment visa, such as an H-1B visa.