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

Seedway, LLC

Data Enablement Specialist I

Bloomington, IL · On-site

$69 - $95/hr

Analyze and optimize dashboard performance and query efficiency. * Monitor Tableau jobs and ... Actual compensation will be determined based on experience, location, and other factors permitted ...

Varsity Tutors

Data Analysis Tutor

Normal, IL · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Develop and validate advanced analytic models * Provide input into and/or build datasets to support ... Our Benefits Because work-life balance is a priority at State Farm, compensation is based on our ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Develop and validate advanced analytic models * Provide input into and/or build datasets to support ... Our Benefits Because work-life balance is a priority at State Farm, compensation is based on our ...

State Farm

Data Scientist

Bloomington, IL · On-site

Develop and validate advanced analytic models * Provide input into and/or build datasets to support ... Our Benefits Because work-life balance is a priority at State Farm, compensation is based on our ...

Varsity Tutors

Data Science Tutor

Normal, IL · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Business Analytics Tutor

Normal, IL · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ...

Reli Group Inc

Power BI Intern

Clintonia, IL

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Cresco Labs

Lead Cultivation Agent

Lincoln, IL · On-site

Ensure plant health by pruning, toping, trimming, analyzing plant health according to Cresco Labs ... compensation data, skills, experience, and other relevant factors. For questions about this please ...

New

YK Solutions LLC

P/C Senior Actuary

Bloomington, IL · Hybrid

$110K - $150K/yr

Permanent 2. Compensation Salary Range: $110,000 - $150,000 per year Variable Compensation: 6% ... This position is responsible for analyzing complex data sets, developing rate adjustment proposals ...

Aramark

General Manager

Bloomington, IL

$105K - $115K/yr

Compensation Data COMPENSATION: The Salaried rate for this position is $105,000.00 to $115,000.00 ... Experience in creating and managing a department budget, financial controls and analysis.

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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.

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 job categories do people searching Compensation Data Analytics jobs in Normal, IL look for?

The top searched job categories for Compensation Data Analytics jobs in Normal, IL are:

What cities near Normal, IL are hiring for Compensation Data Analytics jobs?

Cities near Normal, IL with the most Compensation Data Analytics job openings:

Compensation Data Analytics jobs near you

Marketing Data & Analytics Specialist

First Mid Bank and Trust

Bloomington, IL • On-site

$73K - $91K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

At First Mid, base salary is one component of our Total Rewards program. Exact compensation is determined by factors such as (but not limited to) education, skills, internal equity, and experience. This position offers additional compensation in the form of discretionary short-term incentives (i.e. bonus, incentives, and/or commission). Benefits for this role include comprehensive healthcare, well-being benefits, paid family leave as well as generous paid time off. Total Rewards also include banking perks, tuition reimbursement, an Employee Stock Purchase Plan, and a 401K plan with company match. Incentives and benefits are subject to eligibility requirements.
This is a key member of the marketing team's business strategy and works closely with CMO and Marketing Strategy roles. Entrusted with deriving actionable insights and recommendations from multiple data sources, supports strategic goals through data management, reporting, analysis, customer intelligence, segmentation, targeting, demographics and other business analytics. Owns reporting and analysis for defined business areas. Translates data into insights, identifies performance trends, and partners with Strategy and CRM to support planning and optimization. Preferably leads enterprise-level analytics, performance measurement, and insight generation. Shapes KPI frameworks, partners with senior leaders, and drives data-informed decision-making across Marketing and the business.
Responsibilities include, but are not limited to:
  • Lead analytics strategy for major segments or enterprise initiatives
  • Own reporting and analysis for assigned segments or campaigns
  • Build dashboards, performance summaries, and KPI tracking
  • Develop KPI frameworks, measurement plans, and insight models
  • Translate data into insights and recommendations
  • Improve reporting processes and data visualization
  • Partner with CRM, Strategy, and business lines to support planning and improve data maturity
  • Positions data (knowledge of our customers, products, employees, vendors, and the market at large) as a driver of messaging, budgetary spending, and tactics
  • Ensure data quality and governance across assigned domains
  • Lead analytics strategy for major segments or enterprise initiatives
  • Serves as quality assurance guide for reporting functions within the department
  • Champions data integrity and literacy required for customer-centric efforts.
  • Works with marketing leadership to define standards and parameters of business rules for accuracy, cross-functional alignment, and structural integrity of data, including the creation of process documentation, templates, and systems required for effective data management

Qualifications
Education/Experience:
  • Bachelor's or advanced degree in marketing, data administration, information systems or equivalent experience.
  • Minimum of 5+ years' experience in Analytics, Business Intelligence, or Marketing Insights roles.
  • Financial services or regulated industry experience preferred.

Skills:
  • Advanced data analytics, strategic insight development, data storytelling, KPI design and development, enterprise influence, segmentation, and cross-functional collaboration.
  • Has a working understanding of marketing functions and, in particular, the role that data and technology play in powering those functions
  • Experience with a CRM system, preferable Microsoft Dynamics, and tools comprising the marketing stack
  • Experience creating and delivering marketing metrics related to reports, including ROI
  • Experience in market trends and consumer behavior research.
  • Strong analytical, critical thinking and problem-solving skills.
  • High attention to detail and ability to meet deadlines.

Pay Range: $73,400 - $91,750 per year

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