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Compensation Data Analytics Jobs in Chicago, IL (NOW HIRING)

Reporting & Analytics • Prepare recurring compensation and quota reports for leadership. • Analyze payout trends, quota attainment, and operational metrics. • Identify data inconsistencies and ...

New

Compensation Partner

Chicago, IL · On-site

$90K - $115K/yr

The ideal candidate combines strong analytical capabilities with business acumen to help drive data-informed compensation decisions and continuous improvement of compensation programs. Key Job ...

Prepare and analyze compensation data and metrics, delivering actionable insights and dashboards to HR leadership and business stakeholders. * Support pay equity analyses and audits, identifying ...

Prepare and analyze compensation data and metrics, delivering actionable insights and dashboards to HR leadership and business stakeholders. * Support pay equity analyses and audits, identifying ...

Senior Compensation Analyst

Oak Brook, IL · On-site

$83K - $109K/yr

Create analytics, dashboards and ad hob reporting related to compensation and employee data Sales Compensation Support * Administer and audit sales incentive compensation plans, including commissions ...

Senior Compensation Analyst

Oak Brook, IL · On-site

$83K - $109K/yr

Create analytics, dashboards and ad hob reporting related to compensation and employee data Sales Compensation Support * Administer and audit sales incentive compensation plans, including commissions ...

As a Compensation Specialist, you'll analyze market data and partner with leaders to guide pay decisions across our North American operations, driving business growth and competitive talent ...

Senior Compensation Analyst

Chicago, IL · On-site

$85K - $111K/yr

... data-driven insights that inform compensation strategy and business decisions. * Lead compensation analytics. You'll drive survey participation, job matching, market pricing, and trend analyses to ...

As a Compensation Specialist, you'll analyze market data and partner with leaders to guide pay decisions across our North American operations, driving business growth and competitive talent ...

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.

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 Chicago, IL? For Compensation Data Analytics jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Chicago, IL look for? The top searched job categories for Compensation Data Analytics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Compensation Data Analytics jobs? Cities near Chicago, IL with the most Compensation Data Analytics job openings:
Infographic showing various Compensation Data Analytics job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analytics Manager - Global Network Analytics

Capital One

Chicago, IL

Full-time

Posted 7 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Data Analytics Manager - Global Network Analytics

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you'll do:

  • Drive current and future strategy by leveraging your analytical skill

  • Assist with building and using models to test and validate data

  • Work with vast amounts of data in new and evolving environments

  • Be a part of growing and developing our brand in new and emerging markets

  • Leverage analytics to create a customer experience above our peers

  • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

  • Be a part of the full life cycle of projects and see end results

  • Collaborate across business units

  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

  • Experience real work life balance, with little travel involved

On any given day you will be:

  • Mining data to arrive at specific and crucial information for the organization

  • Identifying and implementing process, data, and reporting improvements for the organization

  • Working with large and complex databases containing millions to billions of records

  • Improving operational efficiencies and effectiveness

  • Conducting analysis to evaluate processes and tests

  • Extracting and analyzing data to gauge product offerings

  • Consulting on the design and implementation of new production and data storage systems

  • Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications:

  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 4 years of experience performing professional data analysis work

  • At least 4 years of experience performing programming

Preferred Qualifications:

  • Master's Degree

  • At least 7 years of professional data analysis work experience

  • At least 1 year of experience in people management

  • At least 1 years of project management experience

  • At least 1 year of experience with Python, R, Spark or SQL

  • At least 1 year of experience in Tableau

  • Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York, NY: $179,700 - $205,100 for Data Analysis Manager


Riverwoods, IL: $149,800 - $171,000 for Data Analysis Manager


Chicago, IL: $149,800 - $171,000 for Data Analysis Manager









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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