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Afternoon Data Analyst R Programming Jobs in Milton, WA

Senior Data Analyst - Layla AI

Seattle, WA · On-site

$97K - $123K/yr

Partner closely with Product, Marketing, and engineering to frame questions, size opportunities ... Proficiency with Python (or R) for analysis. * Experience with a modern analytics stack (for ...

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... SQL Data Analyst - ONLY LOCALS Duration - 6 months + Location - Seattle, WA - Local candidates only ...

Sr. Data Analyst/BIE

Seattle, WA · On-site

$97K - $123K/yr

Use data to identify opportunities and then use spoken and written words to influence stakeholders ... of engineers, analysts, operations personnel and business management to deliver results.

Systems and Data Analyst Job Location: Seattle, WA Job Mode: Hybrid (2-3 days onsite) Contract ... architects, and developers. Aerospace & Defense experience is preferred. Required Skills ...

Data Migration Test Analyst - Snowflake SQL Azure Location: Seattle, WA (Hybrid - Local Candidates ... This is not a traditional QA Automation, Manual QA, Selenium, Cypress, Playwright, SDET, or Web ...

Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new ... Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design ...

Perform statistical analysis, including clustering, cross-session and panel data regression using R ... Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of ...

Data Strategy-Manager

Seattle, WA · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Showing results 21-40

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:

Senior Data Analyst - Layla AI

Expedia

Seattle, WA • On-site

$97K - $123K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago


Key responsibilities

  • Define and maintain trusted metrics and definitions across Layla and Bellboy.

  • Run product analytics, including funnels, cohorts, retention, and traveler behavior analysis, and turn findings into insights.

  • Design and analyze experiments (A/B tests) and deliver actionable readouts for the product team.


Expedia Group rating

6.9

Company rating: 6.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

8th of 11 rated travel agencies


Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.


Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Introduction to the Product Team
The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our customer-first mindset focuses on developing products that encourage loyalty and repeat business from our travelers and partners. We partner closely with teams across Expedia Group to achieve growth and results for our customers and company.

We connect Travelers to new experiences, through trusted relationships. We use the power of Expedia Group brands to empower strategic partners to nurture and grow the existing relationship with their audience. Strategic Partnerships and Affiliates breadth of solutions which include cashback, travel offers, loyalty exchange, co-branded sites, Affiliate APIs and EG's Affiliate Program, bring a partners' audience onto EG sites, thereby increasing EG's traffic and exposure.

Introduction to the Layla Team

Layla is an AI-native travel-planning and booking company, now part of Expedia Group's Product organization. Through a conversational travel assistant, Layla helps travelers move from inspiration to a complete, bookable itinerary - flights, hotels, activities, and the day-by-day detail - in minutes. As part of Expedia Group, the team combines Layla's planning and personalization capabilities with Expedia Group's global supply, first-party traveler insights, marketplace scale, and booking technology.

The team is small and senior by design and operates with startup pace: you own a surface, ship it, and see the impact on real travelers within weeks - with decisions driven by data and AI tooling used in practice every day.

As a Senior Data Analyst, you will help steer Layla off its numbers - defining trusted metrics, running product analytics and experiments, and turning traveler behavior into clear insights that shape what the team builds next.

In this role, you will:

  • Define and maintain trusted metrics and definitions across Layla and Bellboy, giving the team a shared, reliable view of how the product is performing.

  • Run product analytics - funnels, cohorts, retention, and traveler behavior - and turn the findings into clear insights that inform prioritization.

  • Design and analyze experiments (A/B tests), delivering honest, timely readouts the product team can act on.

  • Build and maintain dashboards and self-serve reporting so most questions can be answered quickly and consistently.

  • Partner closely with Product, Marketing, and engineering to frame questions, size opportunities, and measure impact.

  • Communicate findings with clear storytelling - turning numbers into a decision or recommendation.

Minimum Qualifications:

  • Bachelor's degree in a quantitative or related field; or equivalent related professional experience.

  • Proven senior-level experience as a data or product analyst.

  • Advanced SQL and strong data-analysis skills, including the ability to define and defend metrics.

  • Experience with product analytics and experimentation (A/B testing) at a consumer product.

  • Demonstrated ability to turn analysis into clear, actionable insights and recommendations for non-technical partners.

  • Familiarity with AI-driven tools or workflows and applying data/AI concepts to real-world products responsibly.

Preferred Qualifications:

  • Proficiency with Python (or R) for analysis.

  • Experience with a modern analytics stack (for example, dbt, a cloud warehouse such as BigQuery or Snowflake, and BI tools such as Looker or Metabase).

  • Experience with marketing/acquisition analytics and attribution modeling, including an understanding of its limitations.

  • Experience analyzing traveler, marketplace, or e-commerce behavior.

  • Experience using AI-assisted tools (for example, Claude or similar) or integrating AI/ML insights to improve productivity and quality.

  • Experience helping build an analytics function or standards from scratch.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.View our full list of benefits.

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.


Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.


Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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