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Compensation Data Analytics Jobs in Kansas (NOW HIRING)

Data Engineer II

Topeka, KS · On-site

$107K - $129K/yr

Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather ... Bankwide incentive compensation program * 401K retirement plan with competitive company match

Data Engineer II

Topeka, KS · On-site

$107K - $129K/yr

Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather ... Bankwide incentive compensation program * 401K retirement plan with competitive company match

We are looking for a Data Security Analyst to join our Information Security Architecture team in ... hiring, compensation, promotion, training, and other terms, conditions, and privileges of ...

Bachelor's degree or higher in Finance, Accounting, Economics, Business, Data Analytics, or a ... Any compensation range provided for a role is an estimate determined by available market data. The ...

Value Chain Analyst

Wichita, KS · On-site

$140K/yr

... Data Analytics, Supply Chain or related field. * Experience with Microsoft Office products ... Any compensation range provided for a role is an estimate determined by available market data. The ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Competitive Compensation We recognize and reward your contributions with a salary package that ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Competitive Compensation We recognize and reward your contributions with a salary package that ...

All team members receive a competitive base salary and compensation package - this is Total Rewards ... Data Analytics, or a related field, or the foreign equivalent, and 3 years of relevant work ...

Data Architect

Lenexa, KS · On-site

$59.75 - $77/hr

IT owns ingestion through Gold, FP&A owns business logic and KPI definitions, the business consumes ... Pay is not considered compensation until it is earned, vested and determinable. The amount and ...

Showing results 41-60

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 Kansas?

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

What cities in Kansas are hiring for Compensation Data Analytics jobs?

Cities in Kansas with the most Compensation Data Analytics job openings:

Federal Home Loan Bank of Topeka
Finance and Insurance • 201 - 500 employees

$107K - $129K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago


Job description

Job Description

We are seeking a Data Engineer to design, build, and maintain scalable data solutions that support enterprise reporting, analytics, and data modernization initiatives. In this role, you will develop and operationalize batch and streaming data pipelines, optimize data workflows, and collaborate across teams to deliver high-quality, maintainable solutions.

In This Role, You Will
  • Design, develop, test, and deploy batch and streaming data ingestion pipelines across multiple data domains.

  • Build and automate ETL/ELT processes using scripting languages, ETL tools, and job scheduling software.

  • Use Azure technologies and Databricks to develop scalable, reliable, and high-performing data pipelines.

  • Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather requirements and deliver data solutions.

  • Ensure pipelines are fault-tolerant, low-latency, and maintainable through strong engineering and automation practices.

  • Support data modernization efforts by optimizing legacy processes and implementing cloud-based solutions.

  • Provide production support, system monitoring, troubleshooting, and root cause analysis.

  • Collaborate with audit and governance partners to document data lineage and support data audits.

  • Guide junior team members, contribute technical leadership, and communicate effectively with technical and non-technical stakeholders.

Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Business, or related field; or equivalent combination of education and experience.

  • 4–6 years of data engineering or related professional experience.

  • Strong experience with SQL Server, Azure, Databricks, ETL/ELT processes, job scheduling, and data streaming services.

  • Experience building scalable, production-ready end-to-end data solutions in cloud or big data platforms.

  • Strong programming and scripting skills, including Python.

  • Experience with REST APIs for data ingestion.

  • Experience supporting production operations in a DevOps environment.

  • Knowledge of data warehousing concepts and data modeling standards.

  • Strong analytical, problem-solving, and root cause analysis skills.

  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.

  • Experience with C#, VB, or similar object-oriented programming languages for maintaining legacy ETL applications.

  • Experience with data visualization and reporting tools such as Power BI or IBM Cognos.

  • Passion for data analysis and storytelling with data.

  • Experience working with IT leadership to establish and improve data management processes and procedures.

  • Demonstrated ability to mentor junior team members and work effectively in a collaborative, team-oriented environment.

Why work here

FHLBank Topeka strives to be an employer of choice by offering industry leading benefits such as generous vacation, volunteer hours and a hybrid operating model. Below are a few more of our benefits...

  • Bankwide incentive compensation program

  • 401K retirement plan with competitive company match

  • Multiple health insurance offerings, including free telemedicine benefits

  • Paid Time Off: Vacation, sick, personal, volunteer and bereavement leave

  • Short-term and long-term disability coverage

  • Voluntary life insurance

  • Incentive-based wellness program

  • Paid maternity and parent bonding leave

  • Tuition reimbursement and student loan assistance

  • Onsite fitness center with shower facilities and onsite yoga classes

  • Summer hours

  • Onsite café

How we work

At FHLBank Topeka, employees are business partners. We believe we are successful when we partner with one another and understand that our differences only make us stronger.

  • Work Location Flex Day | Business partners may work from an alternative location one day per week.

  • Access to Leadership | The executives of FHLBank Topeka welcome communication with business partners. Stop by and say "Hi." Send an email and expect a response. Or schedule a meeting to share your perspective.

  • Peer-to-Peer Recognition | Our recognition programs celebrate business partners practicing FHLBank Topeka values and those working above and beyond.

  • Professional Wins | FHLBank Topeka offers business partners kudos for continuing education through tuition reimbursement and certification rewards.

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FHLBank Topeka EEO Policy

FHLBank Topeka is an equal employment opportunity employer. We recruit, employ, train, compensate and promote without regard to race, color, creed, religion, sex, age, sexual orientation, national origin, ancestry, pregnancy, parental status, citizenship status, disability, genetic information, military status, gender identity and expression or marital status.

Accommodation Request

Should you need an accommodation during the application or interview process, please contact us at recruiter@fhlbtopeka.com.