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Compensation Data Analytics Jobs in Redmond, WA (NOW HIRING)

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data ... Pay & Benefits Our compensation reflects the cost of living across several US geographic markets.

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

You will technically guide team members in analytics best practices using SQL, Python, modern data ... Pay & Benefits Our compensation reflects the cost of living across several US geographic markets.

You will technically guide team members in analytics best practices using SQL, Python, modern data ... Pay & Benefits Our compensation reflects the cost of living across several US geographic markets.

Help prepare salary survey submissions, market assessments and associated analysis. * In conjunction with the Compensation and HRIS team, support development and maintenance of compensation data ...

HR Specialist, Compensation

Issaquah, WA · On-site

$32.56 - $40.87/hr

Help prepare salary survey submissions, market assessments and associated analysis. * In conjunction with the Compensation and HRIS team, support development and maintenance of compensation data ...

HR Specialist, Compensation

Issaquah, WA · On-site

$32.56 - $40.87/hr

Help prepare salary survey submissions, market assessments and associated analysis. * In conjunction with the Compensation and HRIS team, support development and maintenance of compensation data ...

Champion the adoption and integration of AI tooling within analytics workflows, educating and ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

... Data Analytics, Statistics, Mathematics or a related field and 1 year of related work experience ... Compensation may vary outside of this range depending on a number of factors, including a candidate ...

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Compensation Data Analytics information

What is compensation data analytics?

Compensation data analytics is the process of collecting, analyzing, and interpreting data related to employee compensation, such as salaries, bonuses, and benefits. This field helps organizations make informed decisions about pay structures, ensure competitive and equitable compensation, and comply with legal requirements. By leveraging data analytics, companies can identify trends, address pay disparities, and optimize their compensation strategies to attract and retain top talent.

How does a Compensation Data Analytics professional typically collaborate with HR and business leaders to inform pay decisions?

Compensation Data Analytics professionals work closely with HR teams and business leaders by providing data-driven insights that guide salary structures, incentive plans, and pay equity initiatives. They interpret data from salary surveys, internal pay records, and market trends, translating complex analyses into actionable recommendations. Regular meetings and presentations are common, ensuring that stakeholders understand compensation trends and can make informed decisions that support organizational goals. Effective communication and collaboration are key, as these professionals often bridge the gap between technical analytics and strategic HR planning.

What are the key skills and qualifications needed to thrive as a Compensation Data Analytics professional, and why are they important?

To thrive as a Compensation Data Analytics professional, you need strong analytical skills, a solid understanding of compensation structures, and a degree in fields like HR, finance, or statistics. Familiarity with HR information systems (HRIS), data visualization tools like Tableau or Power BI, and proficiency in Excel or statistical software such as R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills ensure accurate, data-driven compensation strategies that support organizational goals and fair employee practices.

What is the difference between Compensation Data Analytics vs Compensation Analyst?

AspectCompensation Data AnalyticsCompensation Analyst
CredentialsDegree in HR, Business, or Data Analytics; often certifications in data analysisDegree in HR, Business, or related field; HR certifications common
Work EnvironmentData-focused, analytical tasks, often in HR or compensation departmentsHR teams, compensation planning, employee benefits
Industry UsageUsed across industries for data-driven compensation strategiesPrimarily in HR and compensation departments within various industries
Search & Comparison IntentFocus on data analysis skills and tools for compensation dataFocus on salary structures, benefits, and employee compensation policies

Compensation Data Analytics involves analyzing large datasets to inform compensation strategies, requiring strong data skills. Compensation Analysts focus on designing and managing salary structures and benefits. Both roles collaborate but differ mainly in their focus—data analysis versus policy implementation.

What are popular job titles related to Compensation Data Analytics jobs in Redmond, WA?

For Compensation Data Analytics jobs in Redmond, WA, the most frequently searched job titles are:

What cities near Redmond, WA are hiring for Compensation Data Analytics jobs?

Cities near Redmond, WA with the most Compensation Data Analytics job openings:

$97K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Please complete the attached Internal TransferRequest Formand submit.  

Please make sure to apply with your Coupang e-mail address.  


Description

Company Introduction

We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Job Overview

As a Senior Data Analyst, you will partner with leaders across product, platform engineering, and business teams. You will work closely with cross-functional partners to translate complex infrastructure and product usage data into actionable insights, driving data-informed decisions for our high-scale platform. You will technically guide team members in analytics best practices using SQL, Python, modern data warehouses, and visualization tools. 

You will be accountable for raising the bar on data quality, reporting accuracy, and analytical rigor across the organization.

Key Responsibilities

  • Design, execute, and maintain end-to-end analytical frameworks to monitor platform usage, user engagement, and system performance.
  • Build and maintain scalable data models, transformation pipelines (using dbt or SQL), and data pipelines to support reporting needs.
  • Create intuitive executive dashboards and operational reports using visualization tools like Tableau, Looker, or Power BI.
  • Perform deep-dive quantitative analyses to uncover trends, identify platform bottlenecks, and guide product roadmap decisions.
  • Partner with engineering and product teams to define, instrument, and validate key metrics for new features and platform infrastructure services.
  • Analyze high-volume datasets across hybrid cloud environments to optimize platform resource utilization and operational efficiency.
  • Drive standardized metric definitions, documentation, and data governance standards across cross-functional teams.
  • Mentor junior analysts, perform code reviews for analytical queries, and foster a data-driven culture.
  • Translate complex data and technical findings into clear, strategic recommendations for non-technical stakeholders and executive leadership.

Basic Qualifications

  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of experience in data analytics, business intelligence, or quantitative analysis, preferably supporting technical or platform products.
  • Advanced proficiency in SQL for querying large, complex relational and non-relational databases.
  • Strong hands-on experience using Python or R for data analysis, data manipulation, and automation.
  • Proven experience designing data models and building dashboards in enterprise BI tools (e.g., Tableau, Looker, Power BI).
  • Hands-on experience working with modern cloud data platforms (e.g., Snowflake, BigQuery, Redshift, or Databricks).
  • Deep understanding of statistical methods, data modeling, and data warehouse architecture.
  • Strong communication, storytelling, and stakeholder management skills.

Preferred Qualifications

  • Master's degree in Data Science, Statistics, Business Analytics, or a related quantitative field.
  • Experience with data transformation and orchestration tools (e.g., dbt, Apache Airflow).
  • Familiarity with analyzing data from distributed systems, API logs, or streaming platforms (e.g., Kafka).
  • Exposure to AI/ML product metrics or analytics supporting data engineering and AI workflows.
  • Strong understanding of statistical experimentation, A/B testing frameworks, and predictive modeling.
  • Experience writing production-grade analytics code using git, version control, and CI/CD practices.
  • Ability to work independently in a fast-paced environment and manage multiple priorities effectively.

Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for this position ranges from $114K/year to $196K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits

  • Annual bonus is 0-20% of the base salary
  • Medical/Dental/Vision/Life, AD&D insurance
  • Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
  • Long-term/Short-term Disability
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match
  • 18-21 days of Paid Time Off (PTO) a year based on the tenure
  • 12 Paid Holidays
  • Paid Parental leave
  • Pre-tax commuter benefits
  • MTV- [Free] Electric Car Charging Station

General Description of Other Compensation

"Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.

Recruitment Process and Others

Recruitment Process

  • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview - Offer
  • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

  • This job posting may be closed prior to the stated end date for application if all openings are filled.
  • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
  • Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.

Privacy Notice

  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

  

Job Requisition ID: R0076643 


Please complete the attached Internal TransferRequest Formand submit.  

Please make sure to apply with your Coupang e-mail address.