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

Power BI Intern

Moscow, ID · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Solutions Engineer, Remote

Moscow, ID · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and ...

Entegral Financial Analyst

Moscow, ID · On-site

$75K - $90K/yr

The compensation information below is provided in compliance with job posting disclosure ... Experience in data pipelines, SQL, machine learning and visualization * Interpreting analytics and ...

Data analytics Benefits: The State of Idaho offers a robust total compensation and benefits package, including but not limited to: * One of the top 5 retirement systems in the Nation (PERSI) that ...

Worker's compensation program support * Event waivers processing and support * Managing the Risk ... Experience researching, developing, and summarizing material and data for reports * Experience ...

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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.

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 is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and Analytics Executives, with salaries often exceeding $150,000 annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, and are usually found in large corporations or tech companies.

What jobs make $1,000,000 a year?

In compensation data analytics, roles such as chief data officer, senior data scientist, or executive-level positions in finance and technology can reach or exceed $1 million annually, often through base salary, bonuses, and stock options. These high earnings typically require extensive experience, advanced skills in data modeling and analytics tools, and leadership responsibilities. Such compensation is more common in large corporations or successful startups with significant revenue and growth potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the role in the near future.

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 jobs pay 500,000 a year in the US?

In compensation data analytics, senior roles such as Chief Compensation Officer or Compensation Director can reach or exceed $500,000 annually, especially in large corporations or industries with high compensation packages. These positions often require extensive experience, advanced certifications, and expertise in data analysis, market trends, and compensation strategy.
What cities near Pullman, WA are hiring for Compensation Data Analytics jobs? Cities near Pullman, WA with the most Compensation Data Analytics job openings:

$115K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Schweitzer Engineering Laboratories rating

9.1

Company rating: 9.1 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

5th of 156 rated electronics manufacturers


Job description

About the Role:

Schweitzer Engineering Laboratories (SEL) is seeking a Data Engineer to join our growing team. Our data team supports a wide range of internal customers including Finance, Manufacturing, Purchasing, and Sales by delivering scalable, secure, and high-impact data solutions.

What You'll Do:

As a Data Engineer, a typical day might include the following:

  • Design, develop, and maintain robust data pipelines usingAzure Data Factory,Azure SQL,Azure Data Lake,Azure Stream Analytics, and Fabric.

  • Work with on-premises tools such asSQL Server,SSIS, andSSAS.

  • Design normalized relational and/or dimensional data models for OLTP and OLAP systems.

  • Collaborate with stakeholders to design and implement enterprise reporting models.

  • Administer and optimize our data solutions for performance, scalability and reliability.

You Might Be a Great Fit If You:

  • Have hands-on experiencewith data services in a professional setting.

  • Have a strong grasp ofdata modeling, SQL, andcloud-based data architecture.

  • Thrive incollaborative environmentsand enjoy working closely with cross-functional teams.

  • Are committed tocontinuous learningand staying up to date with evolving data technologies.

  • Are genuinelypassionate about dataand driven to make a meaningful impact through your work

Location

Pullman, WA- This position is located inPullman, WA. Nestled in Eastern Washington, offering an exceptional quality of life. Embrace the charm of small-town living with spacious surroundings, no traffic hassles, and easy access to outdoor adventures in nearby mountains, rivers, and forests. Plus, benefit from excellent schools and universities in the area.

#SEL25

Competitive pay. Superior benefits. Inspiring work.

People are at the core of our company and we hire employee-owners. We welcome you to learn more about how we support employees.

  • We're 100% employee owned. Retirement benefits include an employer funded stock ownership plan (ESOP) and personal 401(k) options.

  • We offer top tier medical, prescription, dental, vision, life, and disability insurance.

  • We recognize the importance of a healthy life balance and offer: 10 paid holidays, annual vacation accrual starting at 12 days, 9 paid sick days, and paid family and medical leave that covers 90% of your pay.

  • We foster growth and development of our employees through avenues such as STEM courses, apprenticeships, tuition assistance, and engineering development programs.

  • Ask our team about other benefits including wellness, fertility, adoption, and flexible spending benefits.

Pay Range Data:

Associate Data Engineer, $84,240 - $124,461. Data Engineer, $97,740 - $144,460 Lead Data Engineer, $115,290 - $170,349. Our compensation ranges are based on the responsibilities of the role. Starting pay is determined individually and considers factors such as relevant experience, skills, knowledge, and training. Candidates may be considered at different levels based on their background. As a result, pay may vary to align with the level of the role.

Communication with Applicants

We communicate with all applicants. If you do not receive a response about your application, please check your SPAMfilteror reach out to us at careers@selinc.com.

SEL is an Equal Opportunity Employer: Vets/Disabled.


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