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

Microsoft

Senior Data Analyst

Redmond, WA · On-site

$137K - $222K/yr

You will serve as a technical liazion for analytics, reporting, and visualization, partnering with ... Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay ...

MAGNIX USA INC

Data Analyst

Everett, WA · On-site

$90K - $130K/yr

Working closely with our Program Analytics PM and Finance lead, you will own the data layer that ... Compensation & Benefits * 100% company-paid premiums for medical, dental, and vision insurance (for ...

Tachyon Technologies

Data Analyst

Redmond, WA

$42/hr

Data Analyst Location â Redmond, WA Duration â 12 months Experience Required: â Advanced Excel ... We offer a collaborative work environment, competitive compensation, generous work/life ...

Tachyon Technologies

Data Analyst

Redmond, WA

$62/hr

... analytics YOY variance of actual to forecast for both C2C and CSV â Ad-hoc reporting for various ... We offer a collaborative work environment, competitive compensation, generous work/life ...

Pwc

Data Strategy-Manager

Seattle, WA · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Pwc

Data Governance- Manager

Seattle, WA · On-site

$99K - $232K/yr

... Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the ...

Initio Capital

Data Product Analyst

Seattle, WA · Remote

THE ROLE As a Data Product Analyst, you will help identify promising markets, companies, products ... COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and ...

New

Fortive

Global Compensation Partner

Everett, WA · On-site

OVERVIEW As a Compensation Partner you will be at the forefront of designing and delivering bold ... Proficiency in HR technology and data analytics (Excel, PowerBI, etc.) * Strong project and team ...

The Walt Disney Company

Lead Data Architect

Seattle, WA

$155K - $208K/yr

... Analytics, AI and Automation used by business teams across The Walt Disney Company. The Data ... A bonus and/or long-term incentive units may be provided as part of the compensation package, in ...

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All JobsCompensation Data Analytics JobsCompensation Data Analytics Jobs in Seattle, WA

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.

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.

Is data analytics a high paying job?

Data analytics roles, including Compensation Data Analytics, are generally considered well-paying careers, especially for those with strong skills in statistical analysis, data visualization, and tools like Excel or SQL. Salaries tend to increase with experience, certifications, and advanced skills such as machine learning or programming languages like Python. Overall, data analytics is regarded as a lucrative field within the broader data and technology sectors.

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 popular job titles related to Compensation Data Analytics jobs in Seattle, WA? For Compensation Data Analytics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Seattle, WA look for? The top searched job categories for Compensation Data Analytics jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Compensation Data Analytics jobs? Cities near Seattle, WA with the most Compensation Data Analytics job openings:
Compensation Data Analytics jobs near you

Senior/Lead Data Scientist, Data & Analytics (Seattle, WA)

Starbucks

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,617 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes

Job description

Now Brewing - senior/lead data scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Data Scientist, you'll help guide business decisions by building and applying statistical and machine learning approaches to solve high-impact problems. You'll partner cross-functionally to turn ambiguous questions into measurable solutions-delivering insights and models that can be adopted into real business workflows.
As a Senior/Lead Data Scientist, you will...
  • Develop and apply analytical models (statistical and/or machine learning) to improve decision-making, performance, and customer/partner outcomes.
  • Translate business problems into data science solutions by defining approach, sourcing/validating data, and communicating clear recommendations to technical and non-technical stakeholders.
  • Operationalize your work by creating repeatable analysis/model pipelines, improving model performance over time, and contributing to shared standards (documentation, version control, reproducibility).

We'd love to hear from people with:
  • 4+ years in data science, applied analytics, or a closely related field
  • BA/BS in a quantitative field (or equivalent practical experience)
  • Proficiency with Python or R and SQL

Preferred qualifications
  • MS/PhD in a quantitative discipline (or equivalent advanced experience)
  • Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)
  • Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)
  • Familiarity with experiment design / causal inference and translating results into business actions
  • Demonstrated ability to mentor others and influence cross-functional partners toward adoption

As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
*If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.

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