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Afternoon Data Analyst R Programming Jobs in Tacoma, WA

Senior Data Analyst

Seattle, WA · On-site

$129K - $175K/yr

Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to ... Collaborate with engineering teams to define service level agreements (SLAs) for data products

Senior Data Analyst

Seattle, WA · On-site

$129K - $175K/yr

Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to ... Collaborate with engineering teams to define service level agreements (SLAs) for data products

Senior Data Analyst

Seattle, WA · On-site

$129K - $175K/yr

Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to ... Collaborate with engineering teams to define service level agreements (SLAs) for data products

Insurance Data Analyst

Seattle, WA · On-site

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... Proficiency in Python or R for analysis or automation. * Familiarity using AI tools to accelerate ...

Sr Health Data Analyst

Seattle, WA · On-site

$97K - $123K/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

$97K - $123K/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 · On-site

$97K - $123K/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 ...

Proficiency in SQL and statistical programming in Python or R, plus strong Excel skills for business-facing analysis and reconciliation. * Experience working with modern data stacks and analytics ...

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract ... Requires two years electrical engineering experience, and an Associate Degree in Electrical ...

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract ... Requires two years electrical engineering experience, and an Associate Degree in Electrical ...

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract ... Requires two years electrical engineering experience, and an Associate Degree in Electrical ...

Electrical Data Analyst Location: Seattle, WA (hybrid, 1 day a week onsite) Type: Contract ... Requires two years electrical engineering experience, and an Associate Degree in Electrical ...

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Afternoon Data Analyst R Programming information

See Tacoma, WA salary details

$36.5K

$88.7K

$146.1K

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

As of Jul 4, 2026, the average yearly pay for afternoon data analyst r programming in Tacoma, WA is $88,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $104,200.00 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 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Tacoma, WA? For Afternoon Data Analyst R Programming jobs in Tacoma, WA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Tacoma, WA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Tacoma, WA are:
What cities near Tacoma, WA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Tacoma, WA with the most Afternoon Data Analyst R Programming job openings:
Statistical Programmer III/IV

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description


Statistical Programmer III/IV
Job ID
31287
Type
Regular Full-Time
Location
US-WA-Seattle
Category
Biostatistics, Bioinformatics and Computational Biology
Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research. SCHARP has an annual budget of over $40 million, more than 130 employees and is currently managing over 40 active phase I - III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Statistical Programmer III/IV to provide statistical programming expertise within SCHARP by coordinating with statisticians to write efficient, re-usable, and easily maintainable code that access, analyze and report data descriptives and analyses.

This position can be offered fully remote:

Responsibilities

May include some or all of the following:

    Gather and document requirements for developing or modifying existing programs and systems.
  • Define and edit mock tables, listings and figures (TLFs) and analysis dataset specifications.
  • Generate, document, and maintain analysis datasets.
  • Develop scripts for wrangling / data transformation.
  • Create ad hoc, standard and study-specific reports (e.g. SMC, DSMB, SMB, Assay QC); may perform cross- study reporting.
  • Test and de-bug programs and maintain version control on production programs and scripts.
  • Design and develop new work instructions (WIs) and updates to existing WIs.
  • May coordinate efforts to standardize WIs or processes across studies.
  • Develop and maintain automation of routine analysis data and reporting tasks.
  • Contribute to good programming practices, and cross-group programming initiatives and code libraries.
  • Work with clinical programmers, lab programmers, statisticians, and other statistical programmers to resolve data quality, processing, and analysis issues.
  • Contribute to mentoring and training of junior Statistical Programmers and may supervise as needed.
  • Other duties as assigned.

Qualifications

MINIMUM QUALIFICATIONS:

Statistical Programmer III

  • Bachelor's degree in Public Health, Statistics, Computer Science, or directly related fields.
  • 4 years of experience as SAS or R programmer on PC/Unix platform.
  • Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams.
  • Demonstrated ability to multi-task and appropriately prioritize work assignments.
  • Knowledge of and experience with clinical trials research data or experience in data wrangling /transformation within a health-related field.
  • Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting.
  • Advanced SAS or R programming skills.
  • Strong reporting and SAS macro or R package development abilities.
  • Knowledge of SAS or R (including graphics experience) and other programming languages.
  • Ability to use Perl or other scripting languages for text manipulation and automated job control.

Statistical Programmer IV

  • Bachelor's degree in Public Health, Statistics, Computer Science, or directly related fields.
  • 5 years of experience in SAS or R programming, with additional experience in other programming languages including a scripting language; R programmers will have experience using version control tools (e.g. git or svn).
  • 4 years of experience in support of clinical trials, in a clinical research setting or other health research setting, or in data wrangling /transformation within a health-related field.
  • Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams.
  • Demonstrated ability to multi-task and appropriately prioritize work assignments.
  • Knowledge of and experience with clinical trials research data.
  • Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting.
  • Knowledge of both SAS and R (including graphics experience) and other programming languages.
  • Strong reporting and SAS macro or R package development abilities.
  • Advanced SAS or advanced R programming skills.
  • Ability to use Perl or other scripting languages for text manipulation and automated job control.

PREFERRED QUALIFICATIONS:

Statistical Programmer III

  • Graduate degree in Computer Science or a scientific, technical, or health-related field.
  • Preferred experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support.
  • R programmers will have experience using version control tools (e.g. git or svn).
  • Knowledge of CDISC standards (SDTM and ADaM).
  • Experience using version control tools.

Statistical Programmer IV

  • Graduate degree in Computer Science or a scientific, technical, or health-related field.
  • Knowledge of CDISC standards (SDTM and ADaM).

Statistical Programmer III: The annual base salary range for this position is from $99,486 to $157,227, and pay offered will be based on experience and qualifications.

Statistical Programmer IV: The annual base salary range for this position is from $109,699 to $173,347, and pay offered will be based on experience and qualifications.
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).

Additional Information
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.