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Afternoon Data Analyst R Programming Jobs in Idaho

Scentsy Inc

Data Engineer

Meridian, ID · On-site

$108K - $129K/yr

Serve as part of our Data Engineering and Analytics team providing data analytics capabilities for ... Significant experience with BI tools such as AWS QuickSight, Power BI, R, Python, SAP Business ...

Scentsy

Data Engineer

Meridian, ID · On-site

$108K - $129K/yr

Serve as part of our Data Engineering and Analytics team providing data analytics capabilities for ... Significant experience with BI tools such as AWS QuickSight, Power BI, R, Python, SAP Business ...

J.R. Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

Acts as an informed team member by providing information, analysis and recommendations in support ... Proficient in one or more programming languages such as Python or SQL. * Experience with Azure ...

Comerit

Manager Data Engineering and Analytics

Eagle, ID · On-site

$150K/yr

Comerit is searching for a Manager of Data Engineering and Analytics to lead our client's growing ... R scripting. Knowledge of SAP and SAP data structures preferred or similar ERP tools. Ability to ...

Simplot

Data Engineer III

Boise, ID

$109K - $130K/yr

Acts as an informed team member by providing information, analysis and recommendations in support ... Proficient in one or more programming languages such as Python or SQL. * Experience with Azure ...

Simplot Company

Data Engineer III

Boise, ID

$109K - $130K/yr

Acts as an informed team member by providing information, analysis and recommendations in support ... Proficient in one or more programming languages such as Python or SQL.Experience with Azure DevOps, ...

Simplot

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

Acts as an informed team member by providing information, analysis and recommendations in support ... Proficient in one or more programming languages such as Python or SQL. * Experience with Azure ...

Computech Corporation

Data Scientist

Boise, ID

Expert in statistical techniques for data analysis using R * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on ...

Simplot Company

Data Engineer III

Boise, ID · On-site

$99K - $118K/yr

The J.R. Simplot Company is a diverse, privately held global food and agriculture company ... • Performs analysis of technical requirements of high complexity. • Designs and develops ...

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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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Idaho? For Afternoon Data Analyst R Programming jobs in Idaho, the most frequently searched job titles 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:
Afternoon Data Analyst R Programming jobs near you
Data Engineer

Data Engineer

Scentsy Inc

Meridian, ID • On-site

$108K - $129K/yr

Other

Posted 29 days ago

Job description

Description

Scentsy is looking for a Data Engineer to ensure the availability, reliability, and performance of data infrastructure and analytical systems. This role pairs deep data engineering expertise with strong development capabilities, designing and building data products on AWS, S3, and other cloud data warehouse technologies.


This job is worked 100% of the time in-office at our Meridian, ID corporate office.

*Please note: We are unable to provide H-1B visa work sponsorship for this position.


What You'll Do:

  • Serve as part of our Data Engineering and Analytics team providing data analytics capabilities for various internal Scentsy business partners
  • Influence and evangelize analytical methodologies to support business partners' needs
  • Act as a technical lead for designing and implementing custom reports and dashboards 
  • Assess requirements and assist with developing data warehouse infrastructure 
  • Confer with the immediate team on warehouse operational issues and recommend resolutions
  • Interface with data analysts to define and implement data requirements to meet their analytic needs 
  • Participate in the design and build of conceptual, logical, and physical data models to support business analytics from the data warehouse
  • Recommend data strategies, ETL processes, and procedures for getting data in and out of the data warehouse 
  • Design, develop, and deploy data pipelines, integrations, and automation solutions, applying sound software engineering practices across the development lifecycle
  • Test reporting solutions and provide training
  • Interact with technical resources from various teams within the Information Systems and Information Technology departments to define and test technical changes to the system
  • Design and implement custom reports and dashboards
  • Translate analytical program models, including but not limited to scripting, error handling, and documentation 
  • Work with users from various functional areas (sales, order processing, shipping, logistics, credit, finance, marketing, etc.)
  • Analyze processes ensuring sustainability, supportability, and automation
  • Identify new data from additional internal or 3rd party systems and transform it to work cohesively within existing Data Warehousing models
  • Participate in evaluating new technologies to ensure data and technology architecture advancement within the organization's BI needs
  • Identify development needs to improve and streamline business operations
  • Provide stakeholders with quality data so the business can make sound, data-driven decisions and recommendations
  • Coach and mentor less experienced engineers
  • Perform all other assigned tasks and requirements as needed

We're Looking For:

  • Bachelor's degree in business, Business Intelligence, Data Warehouse or data related field or equivalent related experience
  • 5 years of data warehouse engineering experience and/or 3 years of Business Intelligence experience
  • Significant knowledge of best practices for data modeling, dimensional modeling (Star schema), data ingestion, queries, and data loading options
  • Wide experience of cloud data warehousing tools and technologies such as Snowflake and RedShift
  • Significant experience with BI tools such as AWS QuickSight, Power BI, R, Python, SAP Business Objects and Web Intelligence (WEBI) reporting tools
  • Experience with AWS Services like AWS Quick, Cloud Formation, S3, Glue, State Machine, Lambda, Event Bridge, SNS and Appflow.
  • Excellent data manipulation and analysis skills
  • Experience in data access and delivery technologies, including familiarity with data quality assessment, data organization, metadata, and data profiling
  • Ability to take complex, ambiguous problems, break them down into smaller parts, and problem solve to come up with a whole, integrated, and strategic solution
  • Excellent skills in SQL, data modeling, data warehousing, and OLAP
  • Strong solution development capabilities, including the ability to design, build, test, and deploy production-quality code and automation
  • Excellent written and oral communication skills
  • Experience with SAP systems including table structure, field definitions, CDS views and usage, a plus
  • Experience with git
  • Advanced critical thinking, problem solving, and analytical skills
  • Familiarity with Agile Framework
  • Experience with Redgate Flyway



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