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Compensation Data Analytics Jobs in Indiana (NOW HIRING)

Elevance Health

Compensation Analyst Sr.

Indianapolis, IN · On-site

$93K - $139K/yr

Compensation Analyst Senior Location: This role requires associates to be in-office 1 - 2 days per ... Works closely with partners within the sales organizations across the enterprise to provide data ...

Elevance Health

Compensation Analyst Sr.

Indianapolis, IN · On-site

$93K - $139K/yr

Compensation Analyst Sr. Compensation Analyst Senior Location: This role requires associates to be ... Works closely with partners within the sales organizations across the enterprise to provide data ...

Luna Data Solutions, Inc.

Data Engineer - ONSITE

Butler, IN · On-site

$117K - $140K/yr

Proven background in data engineering, analytics engineering, or similar roles. * Strong SQL ... Competitive compensation and benefits. This is a direct-hire, full-time employment opportunity ...

Pro Mach

Compensation Manager

Indianapolis, IN

Are you passionate about compensation strategy, data analysis, and helping organizations attract and retain top talent? We're seeking a Compensation Manager to join our HR/Compensation and Benefits ...

Pwc

Data Strategy-Manager

Indianapolis, IN

$99K - $232K/yr

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 ...

Pwc

Data Governance- Manager

Indianapolis, IN

$99K - $232K/yr

... Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the ...

BC Forward

Data Analyst (HEDIS)

Indianapolis, IN · On-site

$51 - $55/hr

... validates analytics and delivery documentation for the PHM Service. The ideal candidate has ... Competitive compensation and benefits. Opportunities for growth with global clients. A supportive ...

Dmainc

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

Position Summary The Data Analyst will be primarily responsible for creating and maintaining DMA ... compensation, training, benefits, work assignments, discipline, termination, and all other terms ...

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

Position Summary The Data Analyst will be primarily responsible for creating and maintaining DMA ... compensation, training, benefits, work assignments, discipline, termination, and all other terms ...

First Financial Bank

Data Analyst I

Terre Haute, IN · On-site

The expectation of this position is to analyze data with assistance, develop and maintain reports ... However, employees who have access to the compensation information of other employees or applicants ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

Prior experience in healthcare analytics or trend analysis is a strong advantage highly preferred ... RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site

Prior experience in healthcare analytics or trend analysis is a strong advantage highly preferred ... RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation ...

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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 Indiana? For Compensation Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Indiana look for? The top searched job categories for Compensation Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Compensation Data Analytics jobs? Cities in Indiana with the most Compensation Data Analytics job openings:
Compensation Data Analytics jobs near you
Global Incentive Compensation Analyst

Global Incentive Compensation Analyst

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago

Salesforce rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

109th of 217 rated software companies

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Finance

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Job Description
About Salesforce:
We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we
empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good- you've come to the right place.
Position Description
The Global Incentive Compensation (GIC) team at Salesforce is a global leader for sales compensation in the technology industry. We manage the sales compensation for all Salesforce, end-to-end - from designing the sales compensation plan to enable the company's go-to-market strategy to administering the payment so that our sales teams get paid on time. We are currently hiring for an Senior Data Analyst, Global Incentive Compensation Analytics. This highly technical role will focus on generating deeper insights through sophisticated analysis and scientific modeling. You will support strategic compensation plan design decisions through data-driven recommendations, leveraging advanced statistical methods to assess the effectiveness of our existing programs. You will partner closely with stakeholders across the business to determine how best to align our plans with Salesforce's strategic direction. The ideal candidate is comfortable working in a dynamic, data-driven environment, demonstrates natural curiosity, and is capable of building models that influence decision-makers.
Responsibilities:
  • Advanced Modeling & Simulation: Build and deploy scientific and predictive models using Python to simulate the financial and behavioral impacts of proposed compensation plan changes, providing analytics and data-backed business cases during the annual company GTM planning cycle.
  • Deep-Dive Analytics: Go beyond standard reporting to uncover hidden trends, performing sophisticated statistical analyses to evaluate the true effectiveness and ROI of various Incentive Compensation programs.
  • Data Pipeline & Automation: Extract, manipulate, and transform large datasets using advanced SQL and Python to automate deep insight generation, moving away from manual Excel-based processes.
  • Strategic Partnership: Serve as the dedicated technical analytics partner for aligned GTM organizations, translating complex scientific models into actionable business recommendations to evaluate the impact of compensation plan changes. Forecasting: Track commission costs by developing robust predictive algorithms that forecast future GTM performance and commission payouts.
  • Pay-for-Performance Framework:
    against quota attainment, utilizing advanced data modeling to optimize commission multipliers and strategically alignDesign and build a comprehensive framework to evaluate current payout rates
  • compensation structures across various roles and performance tiers.
  • Qualifications
  • Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
  • Experience: 3+ years of related experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
  • Advanced Programming: Proficiency in Python (or R) for data manipulation, statistical analysis, and building scientific models.
  • SQL/Snowflake: Advanced proficiency in SQL/Snowflake, including complex query authoring, optimization, and troubleshooting.
  • Data Visualization: Proficiency in building sophisticated, automated dashboards in Tableau or a similar tool.
  • Analytical Problem Solving: Ability to independently address complex analytical requests: understand the ask, structure the data pipeline, perform advanced statistical analyses, validate assumptions, and output reliable scientific models.
  • Communication & Storytelling: Ability to synthesize complex data and scientific methodologies into simple, consumable deliverables with clear takeaways, influencing decision making and justifying recommendations across diverse audiences.
  • Industry Knowledge: A general understanding of how a SaaS GTM engine functions is preferred.
  • CRM: Knowledge of Salesforce products and/or CRM infrastructure preferred

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

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