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Compensation Data Analytics Jobs in Pawtucket, RI

Aperia Technologies

Solutions Engineer, Remote

Brockton, MA · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and ...

Blount Fine Foods

Senior Financial Analyst

Warren, RI

$85K - $105K/yr

Lead and support the annual operating plan and quarterly forecasting processes by providing data ... analytics tools is a plus.Our Total Compensation Package Includes:Medical, dental and vision ...

Blount Fine Foods

Senior Financial Analyst

Warren, RI · On-site

$85K - $105K/yr

Lead and support the annual operating plan and quarterly forecasting processes by providing data ... and analytics tools is a plus. Our Total Compensation Package Includes: * Medical, dental and ...

Blount Fine Foods

Senior Financial Analyst

Warren, RI · On-site

$85K - $105K/yr

Lead and support the annual operating plan and quarterly forecasting processes by providing data ... and analytics tools is a plus. Our Total Compensation Package Includes: * Medical, dental and ...

Blount Fine Foods

Senior Financial Analyst

Warren, RI · On-site

$85K - $105K/yr

... providing data, analysis, and clear business recommendations. • Prepare and perform quarterly ... and analytics tools is a plus. Our Total Compensation Package Includes: * Medical, dental and ...

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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.

Is data analytics a high paying job?

Data analytics roles, including Compensation Data Analytics, are generally considered well-paying careers, especially for those with strong skills in statistical analysis, data visualization, and tools like Excel or SQL. Salaries tend to increase with experience, certifications, and advanced skills such as machine learning or programming languages like Python. Overall, data analytics is regarded as a lucrative field within the broader data and technology sectors.

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.
Compensation Data Analytics jobs near you
Infographic showing various Compensation Data Analytics job openings in Pawtucket, RI as of June 2026, with employment types broken down into 2% As Needed, 44% Full Time, 47% Part Time, and 7% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Solutions Engineer, Remote

Aperia Technologies

Brockton, MA • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago

Job description

Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and disruptive Halotm Automatic Tire Inflator, and the cloud delivered Halo Connect tire analytics platform. Aperia saves fleets thousands of hours of down-time every week, reduces the carbon footprint and environmental impact of the freight industry. Join us as we expand our product offering and take the next steps on our journey toward bringing the "backbone of our economy" into the automation age.

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time.

Your Role

We are seeking a motivated and technically proficient Solutions Engineer to serve as a trusted advisor to customers throughout the sales process and beyond. In this role, you will collaborate with Sales and Customer Experience teams to analyze and present data, optimize customer engagements, and drive successful outcomes. This position is key to delivering a seamless, cohesive experience across pre-sales and post-sales interactions.

Your Responsibilities

Customer Engagement:

  • Serve as a subject matter expert on Aperia’s products, pilot data, and algorithm behavior to effectively communicate value to potential customers.
  • Own the discovery and qualification process for Aperia’s technical compatibility with customer environments.
  • Partner with Sales Directors to identify customer business goals, needs, and pain points, and craft solutions that address them.
  • Develop and deliver engaging presentations and demonstrations for technical and non-technical audiences, virtually and in person.

Technical Expertise:

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  • Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success.
  • Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.
  • Monitor industry trends, competitor offerings, and ecosystem developments to maintain deep technical expertise.

Cross-Functional Collaboration:

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  • Act as the voice of the customer by representing feedback to Product and Engineering teams.
  • Optimize the technical sales pilot process by developing tools, analyses, and artifacts that streamline workflows.
  • Collaborate with Sales, Product, and Engineering teams to refine strategies and improve customer outcomes.

Skills/Qualifications

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  • B.S or B.A degree in Engineering, Business administration or related field required.
  • 3+ years of experience in a solutions engineering, sales engineering, or similar role.
  • Proficiency in SQL and Python is required; experience with additional programming languages or tools is a plus.
  • Strong analytical skills with expertise in Excel and statistical analysis.
  • Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
  • Solution-oriented mindset, motivated by creating practical solutions to complex problems.
  • Experience and familiarity with the sales/pre-sales processes used in either hardware or software sales.
  • Polished presenter, comfortable leading presentations and demos of our portal and pilot data to large groups, both technical and non-technical. Virtually and in person.
  • Proven ability to thrive in fast-paced environments, meet deadlines, and maintain commitments to customers and coworkers.

Pay Range: $120,000 - $140,000

*Base salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.

**Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.

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