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Afternoon Data Analyst R Programming Jobs in Milton, WA

Business Systems Analyst - II / Data Analytics Location: Bellevue, WA (hyrbid) Duration: 2026-09-08 ... Partner with engineering on tag implementation, QA event data for accuracy, and troubleshoot ...

New

You will sit at the intersection of product, data, engineering, and business teams, translating ... Design, implement, and analyze A/B tests and experimentation frameworks, defining guardrails ...

Systems and Data Analyst 4

Kent, WA · On-site

$103.32 - $110.21/hr

Collaborate with cross functional teams comprising of business SMEs, Architects, Developers and SIs ... Ensure the accuracy and integrity of data within the SAP GTS system, including the maintenance of ...

New

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Milton, WA salary details

$36.2K

$88K

$144.8K

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

As of Sep 4, 2026, the average yearly pay for afternoon data analyst r programming in Milton, WA is $87,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $103,300.00 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Milton, WA?

For Afternoon Data Analyst R Programming jobs in Milton, WA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Milton, WA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Milton, WA are:

What cities near Milton, WA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Milton, WA with the most Afternoon Data Analyst R Programming job openings:

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

Roles & Responsibilities
We are looking for a motivated SAP S/4 HANA Data Quality Analyst with a passion for Data governance Processes in S4 HANA. As a consultant, you will be responsible for assisting in various projects related to Workshop, Configuration, Requirement Gathering, Implementation, Support etc. You will work closely with a team of experienced professionals to work with customers in implementing propose Data governance processes.
Requirements:
• Ability to review data profiling results and define data quality metrics with business
• Understanding of master data and SAP data structures
• Experience facilitating business discussions to define data quality rules (e.g., for customer, material, supplier, assets, equipment)
• Responsible for reviewing profiling results with business and IT, identifying data quality business rules to be developed in Information Steward
• Functional knowledge of SAP S4 and understanding of S4 data model for master data
• Experience designing data quality rules preferred
• Ability to work independently on Project and Lead project technically
• Ability to draw & implement Enterprise level architecture
• Assist in day-to-day operations of customer discussion w.r.t design and development.
• Recommend best practice solutions, based on research of emerging products, services, protocols and standards.
• Works extensively with customers along with appropriate internal and external resources on the strategy/deployment/optimization of Product services and solutions
• Takes lead role in execution of projects
• Analyzing Technical requirements and environments
• Familiarity with adherence to standard change management procedures when introducing technical changes to production environments.
• Support activities needed to implement and maintain security policy & regulator guidelines
• Analyzing and documenting technical requirements
• Well verse with incident, problem, Change, SLA management
• Works collaboratively between Application Owner, other Enterprise Architect group and Technical Architects to define and describe solutions.
• Strong ability and desire to learn new technologies and capability to drive innovation are absolute must
• Direct engagement with customers to provide support and understand customer needs
• Assist in responses to internal and external compliance audits, penetration tests and vulnerability assessments.
• Knowledge of master data and SAP data structures
• Experience leading busi ness discussions to specify data quality rules (such as for customer, material, supplier, assets, equipment)
• U.S. citizenship or green card required
Generic Managerial Skills, If any
• Excellent communication, presentation, and stakeholder management skills.
• Leadership experience with onsite/offshore teams.
• Strong problem-solving, analytical, and decision-making abilities.
Base Salary Range : $140,000 to $160,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.