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Compensation Data Analytics Jobs in Indiana (NOW HIRING)

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 ...

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

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 ...

New

Data Scientist I, FTR

Carmel, IN · On-site

$73K - $98K/yr

As our Data Scientist I FTR, you will deliver insights and analytics while working collaboratively ... The base salary compensation range being offered for this role is $73,000.00 - $98,000.00 USD ...

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 ...

New

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 ...

New

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 ...

The ideal candidate will have strong experience in CX/VoC analytics, statistical modeling, machine ... Competitive compensation and benefits. Opportunities for growth with global clients. A supportive ...

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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 cities in Indiana are hiring for Compensation Data Analytics jobs? Cities in Indiana with the most Compensation Data Analytics job openings:
Data Engineer - ONSITE

$117K - $140K/yr

Other

Posted 9 days ago


Job description

A newly formed data engineering team is expanding, and we’re looking for a highly capable Data Engineer to help build the shared data environment supporting multiple manufacturing facilities. This role focuses on designing structured data models, developing SQL-driven data warehouses, and creating reliable pipelines that feed analytics and operational applications across several sites.
You’ll work closely with a data architect and other technical partners to consolidate data from multiple divisions into a unified environment. This is a hands-on engineering role ideal for someone who thrives in complex data ecosystems, values accuracy, and enjoys building foundational systems from the ground up.
Key Responsibilities

  • Develop advanced SQL solutions including complex queries, stored procedures, views, and triggers.
  • Design and maintain structured data models and warehouse environments used across multiple facilities.
  • Build, refine, and troubleshoot ETL/ELT pipelines supporting large-scale data ingestion.
  • Ensure data accuracy, consistency, and reliability across interconnected systems.
  • Monitor and optimize data workflows and query performance.
  • Collaborate with architects, engineers, and operational teams to translate requirements into scalable data solutions.
  • Document data flows, schemas, and definitions for long-term maintainability.
  • Follow data governance, security, and compliance standards.
  • Manage assigned work independently and deliver on commitments.
  • Communicate technical concepts clearly to both technical and non-technical audiences.
  • Participate in ongoing learning to stay current with evolving data technologies.


Required Qualifications

  • 5–7 years of professional SQL experience (this is a SQL-heavy environment).
  • 5–7 years of experience in data analytics or a related discipline.
  • Hands-on experience with Qlik and/or Power BI (Qlik is used more heavily across the group).
  • Proven background in data engineering, analytics engineering, or similar roles.
  • Strong SQL proficiency, including advanced queries, stored procedures, and triggers.
  • Experience with relational databases and data modeling concepts.
  • Experience building and maintaining ETL/ELT pipelines.
  • Experience supporting BI, reporting, or analytics environments.
  • Familiarity with data quality monitoring practices.
  • Experience with cloud data platforms, data warehouses, or data lakes.
  • Strong written and verbal communication skills.
  • Demonstrated ownership of data solutions and deliverables.
  • Bachelor’s degree in a relevant field, equivalent experience, or industry certifications.
  • Proficiency with Microsoft SQL Server.
  • Experience in manufacturing or industrial environments.


What We Offer

  • Small team where you can make a big impact.
  • Competitive compensation and benefits.


This is a direct-hire, full-time employment opportunity onsite in Butler, Indiana. Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status. A 7-year background check and drug test are required for this role.