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Afternoon Data Analyst R Programming Jobs in Coeur D Alene, ID

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the ...

URM Stores Inc.

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

URM Stores, Inc . is looking for a Data Integrations Lead , to be the senior hands-on technical ... cause analysis. Platform Engineering: * Build and support integrations using Boomi, Azure ...

URM Stores Inc

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

Description URM Stores, Inc . is looking for a Data Integrations Lead , to be the senior hands-on ... cause analysis. Platform Engineering: * Build and support integrations using Boomi, Azure ...

micro1 AI

Director of Biostatistics

Spokane Valley, WA · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

Corporate Tools

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

Overview As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter ... Collaborate with data engineers to refine and validate tracking mechanisms and ensure clean ...

Kootenai Health

Analytics Engineer I

Coeur D Alene, ID · On-site

Analytics Engineer I Job Code: 28796 Position Summary The Analytics Engineer is responsible for all ... This role is pivotal in enabling data-driven decision-making by building, optimizing, and ...

URM Stores, Inc.

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

Job Type Full-time Description URM Stores, Inc . is looking for a Data Integrations Lead , to be ... cause analysis. Platform Engineering: * Build and support integrations using Boomi, Azure ...

Kaiser Aluminium

Process Engineer

Spokane, WA

$80K - $100K/yr

Process Engineering Manager FLSA STATUS:Exempt SUPERVISES:N/A Benefits * Salary range $80,000 ... Excellent analytical skills (statistical data analysis experience is a plus). * Strong PC skills ...

Kaiser Aluminum

Process Engineer

Spokane, WA

$80K - $100K/yr

Process Engineering Manager FLSA STATUS:Exempt SUPERVISES:N/A Benefits * Salary range $80,000 ... Excellent analytical skills (statistical data analysis experience is a plus). * Strong PC skills ...

Kaiser Aluminum

Process Engineer

Spokane, WA · On-site

$80K - $100K/yr

Process Engineering Manager FLSA STATUS: Exempt SUPERVISES: N/A Benefits * Salary range $80,000 ... Excellent analytical skills (statistical data analysis experience is a plus). * Strong PC skills ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Coeur D Alene, ID

Afternoon Data Analyst R Programming information

See Coeur D Alene, ID salary details

$33.2K

$80.7K

$132.8K

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

As of Aug 25, 2026, the average yearly pay for afternoon data analyst r programming in Coeur D Alene, ID is $80,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 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 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 cities near Coeur D Alene, ID are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Coeur D Alene, ID with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Coeur D Alene, ID as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,724 per year, or $38.8 per hour.

Senior Data Engineer

Corporate Tools

Post Falls, ID • On-site, Remote

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Overview
Corporate Tools is hiring a Senior Data Engineer for up to $150,000/year. You will be a traditional company employee. This is a remote position, but if you're near one of our local offices, you're welcome to come hangout with us in-office as well. Our main offices are in Post Falls, ID, and Spokane, WA; we also have satellite offices in Austin, TX, and Salt Lake City, UT. You'll be working 40 hours a week and, of course, enjoy great company benefits.
As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design - we want someone who can help us improve our current databases and infrastructure and maintain it in a cost-effective manner. This is more than just building and maintaining ETL pipelines. We need innovation, creativity, and solutions that will have a significant impact on how our data is handled and created.
Wage
$150,000 / year
Benefits
  • 100% employer-paid medical, dental and vision for employees
  • Annual review with raise option
  • 22 days Paid Time Off accrued annually, and 4 holidays
    • After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company-not accrued, not capped, take time off when you want
    • The 4 holidays are: New Year's Day, Fourth of July, Thanksgiving, and Christmas Day
  • Paid Parental Leave
  • Up to 6% company matching 401(k) with no vesting period
  • Quarterly allowance
    • Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
  • Open concept office with friendly coworkers
  • Creative environment where you can make a difference
  • No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you feel cool, but mathematically won't cost the company much money because you won't use it
  • Trail Mix Bar - oh yeah

Responsibilities
  • Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech).
  • Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources.
  • Consume data from roughly 40 different sources
  • Collaborate closely with our Data Analysts to get them the data they need.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Improve existing data models while implementing new business capabilities and integration points.
  • Creating proactive monitoring so we learn about data breakages or inconsistencies right away.
  • Maintaining internal documentation of how the data is housed and transformed.
  • Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools.
  • Stay current with latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to fellow engineers, data analysts, and stakeholders.

Requirements
  • Bachelor's (BA or BS) in computer science, or related field.
  • 2+ years in a full stack development role
  • 4+ years of experience working in a data engineer role, or related position.
  • 2+ years of experience standing up and maintaining a Redshift warehouse
  • 4+ years of experience with Postgres, specifically with RDS.
  • 4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions.
  • Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies.
  • Experience working with both analytical and transactional databases.
  • Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases.
  • Experience with Grafana or other monitoring/charting systems.
  • Proven knowledge of data platforms and tangible examples of designing and developing complex data pipelines to support better decision making in the business.
  • Experience hosting and operating data platforms in cost efficient manner.
  • Ability to translate business requirements into non-technical, lay terms.
  • Proven expertise with data architecture design and deployment, data modeling, and database development.

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