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

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

BMO Capital Markets

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

Norsk Hydro

Compensation Analyst

Rosemont, IL · On-site

$86K - $118K/yr

A collaborative, professional HR environment that values data-driven decision-making and continuous ... Parental Leave Pay Range: $86,934 - $118,210 Job Summary The Compensation Analyst plays a critical ...

Norsk Hydro

Compensation Analyst

Des Plaines, IL · Hybrid

$86K - $118K/yr

Maintain accurate compensation data and records within HR systems and reporting tools * Contribute ... Strong analytical, documentation, and data interpretation skills with a high level of attention to ...

Hub Group, Inc

Senior Compensation Analyst

Oak Brook, IL · Remote

$91K/yr

Conduct market pricing analyses using published compensation surveys and internal data; interpret survey results and develop pay recommendations based on market competitiveness, internal equity, and ...

Endeavor Health

Compensation Analyst, Senior

Evanston, IL · On-site

$38.67 - $59.94/hr

Analyzing complex compensation data and metrics to identify trends and provide data-driven insights to HR leadership. * Preparing comprehensive reports and presentations on compensation-related ...

NorthShore

Compensation Analyst, Senior

Warrenville, IL · On-site

$38.67 - $59.94/hr

Analyzing complex compensation data and metrics to identify trends and provide data-driven insights to HR leadership. * Preparing comprehensive reports and presentations on compensation-related ...

VIVA USA INC

Compensation Consultant

Lisle, IL · On-site

The contractor may also complete analyst-level work, including job audits, preparation, survey data analysis, and compensation data validation. Compensation work directly affects payroll costs ...

IQVIA

Data Analytics Analyst II

Chicago, IL · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS ... Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may ...

NorthShore

Program Manager, Compensation

Warrenville, IL · On-site

$46.79 - $72.52/hr

Data Analysis and Reporting * Analyze market data, compensation trends, and internal performance data to make informed decisions. * Prepare reports and presentations to communicate compensation data ...

Endeavor Health

Program Manager, Compensation

Evanston, IL · On-site

$46.79 - $72.52/hr

Data Analysis and Reporting * Analyze market data, compensation trends, and internal performance data to make informed decisions. * Prepare reports and presentations to communicate compensation data ...

Compeer Financial

Compensation Analyst

Naperville, IL · On-site

The responsibilities include conducting analysis on internal and external salary data, evaluating jobs to determine classification and salary, ensuring compensation practices are in alignment with ...

Compeer Financial

Compensation Analyst

Naperville, IL · On-site

The responsibilities include conducting analysis on internal and external salary data, evaluating jobs to determine classification and salary, ensuring compensation practices are in alignment with ...

Salesforce, Inc.

Data Analytics Senior Analyst

Chicago, IL · On-site

$88K - $111K/yr

Data Analytics Senior Analyst will be a crucial member of a high-performance team, Attrition ... The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall ...

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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 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:
Compensation Data Analytics jobs near you
Infographic showing various Compensation Data Analytics job openings in Chicago, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Manager, Data & Analytics

Manager, Data & Analytics

Bank of Montreal

Chicago, IL • On-site

$74K - $138K/yr

Full-time

Medical, Life, Retirement

Posted 14 days ago

Job description

Application Deadline:
05/14/2220
Address:
320 S Canal Street
Job Family Group:
Data Analytics & Reporting
This is a hybrid role requiring 3-4 days in the Chicago or San Fran office
Key Responsibilities:
  • Insight Generation & Strategic Analysis
    • Partner with business leaders to identify opportunities and deliver impactful insights.
    • Conduct deep-dive analyses on banking products, client behavior, and performance trends.
    • Develop executive-ready presentations that translate data into strategic recommendations.
  • Technical Excellence
    • Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data.
    • Build scalable analytical solutions and automate recurring processes.
    • Collaborate with the Sr. Manager and analytics team to improve data workflows and efficiency.
  • Cross-Functional Collaboration
    • Work closely with product, finance, and strategy teams to align analytics with business priorities.
    • Serve as a thought partner to stakeholders, helping them interpret data and make informed decisions

We are seeking a highly analytical and business-savvy Manager, Data & Analytics to join our Data & Analytics team in our San Francisco or Chicago office. This role is ideal for someone who thrives at the intersection of data and strategy-someone who is passionate about uncovering insights that drive business decisions and has deep experience in banking products and client behavior.
You'll work closely with senior business leaders, translating complex data into clear, actionable insights that influence strategy across sales, pricing, profitability, and client engagement
  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
  • Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.
  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:
  • Experience & Domain Knowledge
    • 5-7 years of experience in analytics, preferably within banking or financial services.
    • Strong understanding of banking products, client segmentation, and business strategy.
  • Technical Skills
    • Proficient in SQL and Python (or other programming languages with a willingness to learn Python).
    • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Communication & Influence
    • Ability to distill complex data into simple, compelling insights.
    • Comfortable presenting to senior stakeholders and influencing decisions.
  • Mindset
    • Curious, proactive, and impact-driven.
    • Strong problem-solving skills and a passion for continuous improvement

Salary:
$74,000.00 - $138,000.00
Pay Type:
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
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About BMO

Sourced by ZipRecruiter

BMO, or Bank of Montreal, is one of the biggest multinational banking and financial services corporations in North America. Developed in 1817, BMO's American headquarters are located ideally in Chicago, Illinois while its main world headquarters are situated in Montreal. The bank operates in a multitude of sectors including personal and commercial banking, wealth management and investment banking products and solutions. Over the years, BMO has been recognized for its commitment to doing what's right for its customers, employees, and society.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

Chicago, IL, US

Social media

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