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Compensation Data Analytics Jobs in Minnesota (NOW HIRING)

Royal Bank of Canada

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 ...

Royal Bank of Canada

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 ...

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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?

In data analytics, senior roles such as Data Analytics Director, Chief Data Officer, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in statistical analysis, machine learning, and experience with tools like SQL, Python, or R, along with leadership responsibilities.

What jobs pay 200,000 a year in the USA?

In compensation data analytics, senior roles such as Compensation Managers, Compensation Directors, and Compensation Vice Presidents often earn $200,000 or more annually, especially with extensive experience and certifications like CCP or CBP. High-level data analysts and consultants in compensation may also reach this salary level, particularly in large organizations or consulting firms. These roles typically require advanced analytical skills, knowledge of compensation structures, and proficiency with data tools like Excel, SQL, or Tableau.

What jobs pay 500,000 a year?

In compensation data analytics, senior roles such as Chief Compensation Officer or compensation consultants with extensive experience and specialized skills can earn $500,000 or more annually. These positions often require advanced degrees, certifications, and a deep understanding of compensation strategies, market trends, and data analysis tools. High-level executive roles across various industries may also reach or exceed this salary level.

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.

Is AI replacing data analysts?

AI is transforming the role of compensation data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on strategic insights and decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting complex data, ensuring data quality, and applying context-specific judgment. The role continues to evolve with skills in data visualization, statistical analysis, and AI tool proficiency becoming increasingly valuable.
What are popular job titles related to Compensation Data Analytics jobs in Minnesota? For Compensation Data Analytics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Minnesota look for? The top searched job categories for Compensation Data Analytics jobs in Minnesota are:
What cities in Minnesota are hiring for Compensation Data Analytics jobs? Cities in Minnesota with the most Compensation Data Analytics job openings:
Compensation Data Analytics jobs near you
Infographic showing various Compensation Data Analytics job openings in Minnesota as of June 2026, with employment types broken down into 2% As Needed, 40% Full Time, 44% Part Time, 4% Temporary, 8% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Consultant, Legal Pricing and Data Management

Consultant, Legal Pricing and Data Management

Cargill

Wayzata, MN

$110K - $140K/yr

Full-time

Posted 2 days ago

Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 215 frontline employees who took The Breakroom Quiz

18th of 48 rated food wholesalers

Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with lifes essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thingtoday and for generations to come.

Job Purpose and Impact

The Consultant, Legal Pricing and Data Management job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights, with a specialized focus on law firm spend, rate structures and benchmarks, pricing agreements, and performance management. This highly visible role partners with Law leadership, Legal Operations, Finance, and our law firm partners to support data-driven decisions related to engagements, billing rate negotiations, RFPs, AFAs, and firm selection.

With minimal supervision, this role builds and maintains detailed reports and dashboards, ensures data accuracy and integrity, and effectively presents findings to stakeholders to meet business objectives. The position integrates advanced analytics with handson understanding of legal operations and law firm management.

Key Accountabilities
  • DATA COLLECTION & ANALYSIS: Captures, processes, prepares, and analyzes complex datasets to extract significant insights. Develop and maintain reports to streamline data analysis. Conduct advanced spend analytics related to law firm rate structures, regional benchmarks, practice areas, matter types and engagement trends. Perform strategic analysis to support law firm selection and evaluations.
  • STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partners relationships to understand reporting and analysis needs. Provides insights and finds improvement opportunities. Ensures reporting solutions address key objectives.
  • REPORTING & VISUALIZATION: Builds detailed reports and dashboards using various tools (e.g. PowerBI) to communicate spend, rate trends, matter complexity, firm performance and staffing patterns. Designs and implements data visualizations to communicate complex data clearly.
  • STATISTICAL ANALYSIS: Performs statistical analysis to identify trends, patterns, and anomalies in data for data manipulation and analysis.
  • PROCESS IMPROVEMENT: Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting. Analyze opportunities to leverage AI in analytics, pricing, legal service delivery and reporting.
  • COLLABORATION: Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership to ensure data integrity and accuracy.
  • LITERACY: Coaches and advises to mature data consumption and analytics capabilities.
  • QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses.
Qualifications

Minimum Qualifications

  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
  • Bachelors degree in Data Analytics, Finance, Business, or a related field; or equivalent experience.
  • Demonstrated experience working with law firms and/or legal support vendors.
  • Advanced proficiency in Excel and data visualization tools (PowerBI, Tableau, or similar).
  • Demonstrated ability to identify, present, and convey findings to leadership and stakeholders.

Preferred Qualifications

  • Experience in pricing analytics, legal operations, or law firm management.
  • Understanding of law firm billing practices, RFPs, pricing structures, AFAs, and engagement mechanics.
  • Ability to influence without authority through data-driven insights.
Compensation Data

The expected salary for this position is approximately $110,000 to $140,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal.
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

Equal Opportunity Employer, including Disability/Vet.

What Cargill employees say

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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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