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Afternoon Data Analyst R Programming Jobs in Seattle, WA

Perform data engineering related activities * Flexibility to support production issues during off ... Strong data analytical skills * Ability to make business conclusions from data, connect scenarios

Required : • Bachelor's degree in Engineering, Data Analytics, Statistics, or related field • ... R, or similar) • Proven ability to translate data into actionable insights and quantify business ...

Proficiency in an analytical programming language such as Python or R, primarily for statistical analysis and data manipulation. * Proven ability to structure complex problems, conduct thorough ...

Sr. Health Data Analyst

Seattle, WA · On-site

$97.90K - $123.50K/yr

Very strong SQL programming experience, including knowledge and understanding of database ... Further experience with R or other statistical tools highly desirable * Strong analytic and ...

Sr Health Data Analyst

Seattle, WA · On-site

$97.90K - $123.50K/yr

... programming experience, including knowledge and understanding of database technology and data ... Further experience with R or other statistical tools highly desirable • Strong analytic and ...

Sr Health Data Analyst

Seattle, WA

$97.90K - $123.50K/yr

... programming experience, including knowledge and understanding of database technology and data ... Further experience with R or other statistical tools highly desirable Strong analytic and ...

Data Analyst 2

Seattle, WA · Hybrid

$50 - $52/hr

... Engineering, or a related quantitative field 3+ years of corporate data analysis experience, ideally in retail analytics Thanks. By providing your phone number, you consent to: (1) receive automated ...

The Spotfire Clinical Data Analyst will specialize in the installation, maintenance, and ... Experience with SAS/R, SQL programming, and data manipulation. * Familiarity with clinical trial ...

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Afternoon Data Analyst R Programming information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

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

As of May 31, 2026, the average yearly pay for afternoon data analyst r programming in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

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 Seattle, WA? The most popular types of Data Analyst R Programming jobs in Seattle, WA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Seattle, WA? For Afternoon Data Analyst R Programming jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Seattle, WA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Seattle, WA with the most Afternoon Data Analyst R Programming job openings:

Data Analyst

Annik Inc.

Bellevue, WA • On-site

Full-time

Posted 20 days ago


Job description

Company Description
Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe and industries to help them achieve success in their analytics and data-driven initiatives and drive better business outcomes. Today, Annik solutions are delivered globally in 16+ languages, with over 1000 employees located across 6 global locations.
We are very excited to share that we are now part of LiquidHub, a customer engagement company headquartered in Pennsylvania which strengthens the depth of our solutions offering and expands our localized support capabilities here in the US.
Job Description
  • Troubleshoot complex data related issues escalated from Tier 1
  • Solving data discrepancies and providing business intelligence insights.
  • Understand data lineage, data quality and relationships
  • Monitor data extract, transform, and load (ETL) jobs and respond to any job failures.
  • Development Support for platforms and applications as assigned by designated manager
  • Document knowledge base articles for Tier 1 and Tier 2
  • Dedicate 20-25% of time for Development efforts - Automation of operational activities, data quality checks, application feature development, develop tabular models, bug fixes and reporting
  • Perform data engineering related activities
  • Flexibility to support production issues during off hours.

Qualifications
  • SQL Server 2014/16, Good SQL & ETL skills
  • Strong on SSAS, SSIS & COSMOS
  • Good knowledge of PowerBI
  • Strong data analytical skills
  • Ability to make business conclusions from data, connect scenarios
  • Strong knowledge on Excel - Pivots, PowerPivots, Charts

Other Skills:
  • Understanding Data Management & BI concepts, Data Analysis, Analytics, Cubes, Reporting Technologies, ETL
  • Prior experience in Microsoft landscape is preferred
  • Ability to deal with ambiguity and work in agile environment.
  • Excellent communications skills
  • Attention to detail
  • Strong troubleshooting skills
  • Hands on experience with SharePoint

Additional Information
All your information will be kept confidential according to EEO guidelines.