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

Quantitative Analyst

Spokane, WA · On-site

$88K - $104K/yr

Prepare and provide data, model insights, and documentation for regulators, auditors, and ... Compensation & Benefits * Targeted starting salary range (based on experience): $88,657-104,303

Quantitative Analyst

Spokane, WA · On-site

$88K - $104K/yr

Prepare and provide data, model insights, and documentation for regulators, auditors, and ... Compensation & Benefits * Targeted starting salary range (based on experience): $88,657-104,303

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

Partner with analysts, application owners, data teams, vendors, and architecture resources to ... compensation package: * An employee's pay position within the salary range will be based on several ...

Biostatistician

Spokane, WA · On-site

$4.5K - $6.0K/mo

... Compensation. Required Qualifications: * Positions require a Master's degree in Statistics ... Education or applied experience in correlated data analysis, including generalized estimating ...

New

Analyst

Spokane, WA · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis ... Cornerstone Research offers a market-leading compensation and benefits package. The base salary for ...

Analyst

Spokane, WA · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis ... Cornerstone Research offers a market-leading compensation and benefits package. The base salary for ...

Communications Analyst

Spokane, WA · On-site

$25 - $45/hr

Analyze field reports and performance data and provide technical feedback. * Frequently produce ... Compensation & Benefits: * HIRING HOURLY RANGE: $25.00 to $45.00 (Hourly rate to be determined by ...

Communications Analyst

Spokane, WA · On-site

$25 - $45/hr

Analyze field reports and performance data and provide technical feedback. * Frequently produce ... Compensation & Benefits: * HIRING HOURLY RANGE: $25.00 to $45.00 (Hourly rate to be determined by ...

FP&A Business Partner

Spokane, WA · On-site

$90 - $110/hr

FP&A Business Partner Are you a data-driven finance professional who enjoys partnering with ... Compensation Range: $90,000 - $110,000 Status: Full Time, Exempt Work Location: Hybrid in Spokane ...

FP&A Business Partner

Spokane, WA · On-site

$90K - $110K/yr

FP&A Business Partner Are you a data-driven finance professional who enjoys partnering with ... Compensation Range: $90,000 - $110,000 Status: Full Time, Exempt Work Location: Hybrid in Spokane ...

Manager, Batch Release

Spokane, WA · On-site

$102 - $163/hr

Data Analysis: Conduct comprehensive data analysis to identify trends, patterns, and insights that ... Compensation & Benefits That Start on Day One -- Because Your Well Being Matters Hiring Wage: $102 ...

Showing results 21-40

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 Spokane, WA?

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

What job categories do people searching Compensation Data Analytics jobs in Spokane, WA look for?

The top searched job categories for Compensation Data Analytics jobs in Spokane, WA are:

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

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

Quantitative Analyst

Banner Bank

Spokane, WA • On-site

$88K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Banner Bank rating

8.7

Company rating: 8.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

24th of 174 rated banks


Job description

More than 135 years ago, we started with core values that never go out of style: listen, learn and help businesses and individuals reach their goals. These core values shape our culture, and we were recently Great Place to Work Certified because of our outstanding workplace culture and employee experience. As well, our financial strength and stability are key reasons Forbes named us one of the Best 100 Banks in America for the ninth consecutive year.

With more than $16 billion in assets and 135 branch locations throughout Washington, Oregon, Idaho, and California, we understand our role in the economy and take that responsibility seriously. In addition to offering a source of capital to personal banking clients and businesses of all sizes, we place a high importance on employee volunteerism and donate millions of dollars each year to community organizations.

 Join us as a Quantitative Analyst and help drive the modeling and analytical insights that support critical decisionmaking across the bank. In this role, you'll build and enhance models that guide risk management, financial performance, and regulatory compliance. Your work will directly influence strategic planning while partnering with teams who value collaboration, growth, and high performance.
In this role you'll
 
  • Develop and document models used for stress testing in alignment with regulatory requirements, including DFAST and Basel III.
  • Develop, document, and maintain quantitative tools and models that measure risks to earnings and capital, including probability of default, loss given default, and exposure at default.
  • Evaluate and enhance models to ensure relevance, accuracy, and ongoing compliance with regulatory expectations.
  • Serve as a subject matter expert in risk quantification and modeling, collaborating with business partners, risk teams, and regulatory authorities.
  • Prepare and provide data, model insights, and documentation for regulators, auditors, and consultants.
  • Communicate model results, findings, and recommendations clearly and effectively to all levels of management.
  • Analyze and translate data from multiple sources into meaningful business intelligence that supports sound financial and operational decisions.
  • Ensure compliance with policies, procedures, security requirements, and relevant government regulations.
What we're looking for
  • You have a Bachelor's degree in Finance, Economics, Statistics, or Mathematics (Required).
  • You have a Master's degree (Preferred).
  • You have 4 or more years of experience with SQL, R, and Power BI (Required).
  • You have 2 or more years of experience in a modeling discipline within Banking or Capital Markets at a DFAST or CCAR institution or consulting firm (Preferred).
  • You have 2 or more years of experience in financial and business analysis (Preferred).
  • An equivalent combination of education and experience can be considered in lieu of a degree.
 
What helps you shine
  • You bring strong interpersonal skills and enjoy collaborating with partners across the organization.
  • You excel at managing projects and adapting to evolving requirements while meeting tight deadlines.
  • You are proficient in at least one programming language, such as R.
  • You have experience developing models in PPNR, Credit Risk, or Market Risk.
  • You understand timeseries models, including ARCH/GARCH, and have experience with timeseries and panel data analysis.
  • You are familiar with linear and nonlinear generalized linear mixed models.
  • You understand interdependence between risk factors, including variancecovariance methods and copulas, and can apply key statistical distributions in analysis.
  • You are knowledgeable about federal and state laws related to accounting, financial reporting, and stresstesting models.
Travel
  • 0%
Our Company Values
  • Do the right thing
  • Mutual respect
  • Teamwork
  • Accountability
 
What Our Team Says
"I have the opportunity to learn and grow every day in my current role. I love the work life balance, knowing that we work hard, and strive for high performance but we are celebrated."
Compensation & Benefits
  • Targeted starting salary range (based on experience): $88,657-104,303
  • Annual incentive potential
  • Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life
  • Paid vacation time, sick time and 11 company paid holidays
  • 401k (with up to 4% match)
  • Tuition reimbursement
 
Review Banner's employee benefits at: Employee Benefits | Banner Bank

Please take time to review Banner Bank's Consent & Privacy notice before applying.

Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, marital status, age, disability or protected veteran status.

Banner Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings. Resumes submitted to any Banner Bank employee by a third-party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Banner Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.
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