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Compensation Data Analytics Jobs in Minnesota (NOW HIRING)

Graco

Compensation Analyst

Minneapolis, MN · Hybrid

$64K - $113K/yr

The Compensation Analyst supports the design, administration, and analysis of compensation programs ... Own end-to-end salary survey participation, ensuring accurate and compliant data submissions

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

Contribute to the design, development, and enhancement of our growing analytics platform by ... Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation ...

Apothecary Products

IT Data Analyst II

Burnsville, MN · On-site

$65K - $98K/yr

Bachelor's degree in data analytics, information technology, business, or a related area Work ... Compensation for this role ranges from $65,395.00 to $98,093.00 annually, commensurate with ...

Maximus

Data Coordination Analyst

Duluth, MN · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Maximus

Data Coordination Analyst

Minneapolis, MN · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Maximus

Data Coordination Analyst

Rochester, MN · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Maximus

Data Coordination Analyst

Plymouth, MN · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Maximus

Data Coordination Analyst

Saint Cloud, MN · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

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All JobsCompensation Data Analytics JobsCompensation Data Analytics Jobs in Minnesota

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 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

Sr Data Analyst - Crecera Brands

Crecera Brands LLC

Minneapolis, MN

$75K - $110K/yr

Full-time

Posted 5 days ago

Job description

Sr. Data Analyst

Job Description

ABOUT THE COMPANY
Crecera Brands is the driving force behind Sportsman’s Guide, Salt Strong, The Golfer’s World, Play Baseball and Play Softball, five of America’s leading retailers of outdoor gear, sporting goods and golf supplies. For nearly 50 years, our companies have been dedicated to helping our customers enjoy the fun, freedom, and traditions of the great outdoors. From hunting and fishing to playing ball and hitting the links, the companies of Crecera Brands deliver the gear you need to succeed. Our websites include sportsmansguide.com, tgw.com, saltstrong.com, playbaseball.com and playsoftball.com.


Position Overview
We are seeking for a Senior Data Analyst to transform complex data into actionable insights that drive business within our golf, baseball and softball businesses. This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau, and Snowflake to support strategic and operational initiatives. The ideal candidate is a hands-on analyst who can work across stakeholders, build scalable data solutions, and communicate insights clearly to both technical and non-technical audiences.


Key Responsibilities

• Data Analysis & Insights
o Analyze large, structured datasets to identify trends, patterns, and opportunities
o Translate business questions into data-driven analyses and actionable recommendations
o Design and execute exploratory and statistical analyses using Python and R
o Develop KPIs and metrics to monitor performance and support business strategy

• Data Management & SQL
o Write complex, optimized SQL queries to extract, transform, and validate data
o Work with data warehouses (e.g., Snowflake) to manage and model data
o Ensure data quality, integrity, and consistency across systems

• Visualization & Reporting
o Build interactive dashboards and reports in Tableau (or similar BI tools)
o Provide clear storytelling through data to influence decision-making
o Automate reporting processes and improve accessibility of insights

• Stakeholder Collaboration
o Partner with cross-functional teams (e.g., Product, Finance, Marketing, Operations)
o Gather requirements and translate business needs into analytical solutions
o Present findings and recommendations to leadership

• Advanced Analytics & Continuous Improvement
o Develop predictive models or advanced analytics solutions where needed
o Identify opportunities to improve data processes, tools, and governance
o Mentor junior analysts and contribute to best practices


Required Qualifications
• Must be legally authorized to work in the United States without sponsorship for employment visa status (e.g., TN, H1B status)
• Bachelor’s degree in data analytics, statistics, computer science, economics, data science, or related field
• 4+ years of experience in data analytics or a related role
• Advanced proficiency in SQL, Python and/or R, Tableau or similar BI tools
• Strong experience working with data warehouses and large datasets
• Solid understanding of statistics, data modeling, and analytical methods
• Proven ability to communicate insights to business stakeholders
Preferred Qualifications
• Experience with modern data stacks (i.e. Snowflake etc.)
• Experience with Adobe Analytics or Google Analytics
• Exposure to A/B testing, machine learning, or predictive modeling
• Experience in a DTC e-commerce environment
• Experience mentoring or leading projects
Key Competencies
• Analytical problem-solving
• Business acumen
• Data storytelling & visualization
• Attention to detail
• Collaboration and influence

Compensation:
Base Salary: $75,000 - $110,000 depending on experience and qualifications