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Compensation Data Analytics Jobs in Eagan, MN (NOW HIRING)

Provide end-to-end analytics support, oversight and guidance for analytical initiatives including ... RBC's compensation philosophy and principles recognize the importance of a highly qualified global ...

Provide end-to-end analytics support, oversight and guidance for analytical initiatives including ... RBC's compensation philosophy and principles recognize the importance of a highly qualified global ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Provide end-to-end analytics support, oversight and guidance for analytical initiatives including ... RBC's compensation philosophy and principles recognize the importance of a highly qualified global ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Provide end-to-end analytics support, oversight and guidance for analytical initiatives including ... RBC's compensation philosophy and principles recognize the importance of a highly qualified global ...

Compensation Analyst

Robbinsdale, MN · On-site +1

$29.14 - $43.72/hr

Compensation Analyst Robbinsdale, MN Posting Date: Aug 14 2026 Requisition Number: 514314 Why North ... of data that supports appropriate compensation decisions for the organization. Licensure ...

Compensation Analyst

Robbinsdale, MN · On-site +1

$29.14 - $43.72/hr

Able to analyze large volumes of data that supports appropriate compensation decisions for the organization. Licensure/Certification The North Memorial Health System is dedicated to building a ...

Compensation Analyst

Robbinsdale, MN · On-site +1

$29.14 - $43.72/hr

Able to analyze large volumes of data that supports appropriate compensation decisions for the organization. Licensure/Certification The North Memorial Health System is dedicated to building a ...

... data analytics * Knowledge of the Pharmacy Benefit Management (PBM) industry preferred ... As a privately held company, we offer a competitive compensation and benefits package reflecting ...

Marketing Data Analyst III

Maple Grove, MN · On-site

$88K - $110K/yr

Apply predictive analytics and machine learning models to forecast demand, segment healthcare ... Compensation will be commensurate with demonstrable level of experience and training, pertinent ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Total Rewards Analyst

Minneapolis, MN · On-site

$73K - $90K/yr

Conduct Total Rewards analytics and reporting, providing insights and recommendations to leadership ... Ensure accurate data entry and integrity within the HRIS related to compensation and benefits ...

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 cities near Eagan, MN are hiring for Compensation Data Analytics jobs?

Cities near Eagan, MN with the most Compensation Data Analytics job openings:

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 hours ago


Job description

Job Description

What is the opportunity?

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet Mall, MN location. You will support decision making in the Wealth Management business and translate complex data into actionable insights. This is a unique opportunity to be able to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics and programing skills to assist leaders in making critical decisions for their business.

If you have excellent communication, innovative thinking, attention to detail, and are looking for the next step in your career, we want to hear from you!

What will you do?

  • Engage and build relationships with banking and lending partners on major projects or initiatives, ensuring clear expectations on deliverables and timelines, understanding business priorities, and consulting on comprehensive analytics solutions and success criteria.
  • Collaborate with business partners to define and interpret business needs, design and document business requirements, apply best practices to negotiate deliverables, execute the requirements and perform required quality control processes to ensure highest quality.
  • Provide end-to-end analytics support, oversight and guidance for analytical initiatives including best practice design principles, approach recommendations, proper governance approaches and effective presentation methodologies in a fast-paced and rapidly changing environment.
  • Partner with data engineers, product partners and business leaders to identify meaningful opportunities to add value to the business utilizing statistics, advanced analytics and compelling visualizations.
  • Continually look for new ways to develop tools and information that help the business to measure and improve its processes and drive value for RBC clients and shareholders.
  • Analyze structured and unstructured datasets to solve complex business problems and tailor solutions that are scalable, verifiable and best fit the user's requirements.
  • Thorough design and development iteration, agile and documentation, review mission goals and ensure that final reporting and analytical solutions match client needs
  • Ensure adherence to governance, compliance, and data quality standards

What do you need to succeed?

Must-have

  • Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field
  • Five or more years of professional experience in data engineering, analytics and reporting, or related role
  • Hands-on experience managing and analyzing data in financial services (e.g. financial services KPIs, UHNW analytics, marketing, fixed income, advisory etc.)
  • Strong analysis skills, primarily investigating and explaining trends and variances using statistical techniques.
  • Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python, SQL, SAS and ETC).
  • Ability to prioritize and execute on multiple tasks as well as adjust to changing priorities and work effectively in a collaborative team environment.
  • Proven ability to present and communicate complex, technical materials in a way that facilitates decision making and drives outcomes to non-technical partners.

Nice-to-have

  • A self-starter with high energy and a driven curiosity to go beyond the obvious and provide ideas for innovation.
  • Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services.
  • Experience building and using AI/ML models, predictive analytics or statistical modeling to solve business problems.
  • Hands-on experience with Tableau, Power BI, Snowflake, Alteryx or similar tools.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Flexible work/life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business

For Minnesota the good-faith expected salary range for the above position is $70,000 - $130,000 depending on factors including but not limited to the candidate's experience, skills, registration status; market conditions; and business needs.This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

Drives RBC's high performance culture

Enables collective achievement of our strategic goals

Generates sustainable shareholder returns and above market shareholder value

#LI-POST

Job Skills

Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents

Additional Job Details

Address:

250 NICOLLET MALL:MINNEAPOLIS

City:

Minneapolis

Country:

United States of America

Work hours/week:

40

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-22

Application Deadline:

2026-08-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME