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Compensation Data Analytics Jobs in Indiana (NOW HIRING)

Walker Transport

Compensation Manager

Lafayette, IN · On-site

... Provide data-driven recommendations on salary structures, job leveling and pay program enhancements Conduct compensation analyses including market benchmarking, pay equity reviews and modeling ...

Wabash

Compensation Manager

Lafayette, IN

Provide data-driven recommendations on salary structures, job leveling and pay program enhancements * Conduct compensation analyses including market benchmarking, pay equity reviews and modeling

Varsity Tutors

Data Analysis Tutor

Fort Wayne, IN · Remote

$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 ...

Varsity Tutors

Data Analysis Tutor

Valparaiso, IN · Remote

$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 ...

Varsity Tutors

Data Analysis Tutor

Bloomington, IN · Remote

$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 ...

Varsity Tutors

Data Analysis Tutor

Indianapolis, IN · Remote

$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 ...

Varsity Tutors

Data Analysis Tutor

West Lafayette, IN · Remote

$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 ...

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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 jobs in the US pay 300,000 a year?

In compensation data analytics, senior roles such as Compensation Directors, Compensation Managers, and Compensation Consultants can earn $300,000 or more annually, especially with extensive experience, advanced certifications like CCP or CBP, and working in large organizations or consulting firms. High-level executive positions in compensation or HR, such as Chief Compensation Officer, also typically 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.
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
Managed Services - Data Engineer (Databricks & Kafka) - Manager

Managed Services - Data Engineer (Databricks & Kafka) - Manager

Pwc

Indianapolis, IN

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity
As part of the Managed Data, Analytics & Insights team you manage and lead projects related to building the modern data ecosystem and converting insights into strategic opportunities. As a Manager you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are responsible for project success, maintaining top standards, and leveraging team strengths to deliver on client expectations.

Responsibilities
- Manage and lead projects related to building modern data ecosystems
- Convert insights into strategic opportunities
- Lead teams and manage client accounts
- Focus on strategic planning and mentoring junior staff
- Maintain project success and uphold rigorous standards
- Leverage team strengths to meet client expectations
- Develop and implement impactful data strategies
- Foster a collaborative and top-performance team environment

What You Must Have
- Bachelor's Degree
- 10 years of experience in data and analytics management with at least 8 years of experience of leading various data and analytics program/initiatives of large sizes with 3 years experience managing and delivering Managed Data and Analytics programs (Managed services and Managed assets)

What Sets You Apart
- Bachelor's Degree in Information Technology, Computer and Information Science preferred
- PMP certification or accredited scrum master
- Experience with ITIL processes
- Leading Data & Analytics projects
- Designing and delivering Data processing activities
- Leading discussions for large transformation initiatives
- Managing risks and issues related to Data and Analytics
- Identifying new opportunities for growth
- Leading cloud scale development efforts

Travel Requirements

Up to 60%

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 individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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