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Compensation Data Analytics Jobs in New York (NOW HIRING)

Madhive

Data Analytics Manager

New York, NY · Remote

$105K - $135K/yr

We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our ... The approximate compensation range for this position is $105,000-$135,000. The actual offer ...

Madhive

Data Analytics Manager

Manhattan, NY · On-site

$105 - $135/hr

We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our ... The approximate compensation range for this position is $105,000-$135,000. The actual offer ...

MadHive

Data Analytics Manager

New York, NY · On-site

$105K - $135K/yr

We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our ... The approximate compensation range for this position is $105,000-$135,000. The actual offer ...

32BJ Funds

Compensation Analyst

Manhattan, NY · On-site

$97 - $107/hr

Partner with HRIS and Payroll to validate compensation data, test system changes, resolve ... analytics, and development of pay recommendations. * Experience in a complex, multi‑entity ...

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Own and evolve our core data models, ensuring the analytics layer accurately reflects business ... Compensation is determined based on experience, skill level, and qualifications, which are assessed ...

Current

Senior Data Analyst, Data Analytics

New York, NY

$150K - $200K/yr

Own and evolve our core data models, ensuring the analytics layer accurately reflects business ... Compensation is determined based on experience, skill level, and qualifications, which are assessed ...

Cyera

Senior Sales Compensation Analyst

New York, NY · On-site +1

$100K - $130K/yr

We started by solving the hardest problem in data security: finding and securing data faster and ... The Sr. Sales Compensation Analyst will play a key role in ensuring accurate and timely commission ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... forms of compensation and selection for training, including internships, at all levels of ...

VB Spine

Sr. Manager Data Analytics

Allendale, NJ · On-site

$150 - $170/hr

About this position Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine ... Compensation: Pay for this role is competitive and based on experience, with additional factors ...

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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 are popular job titles related to Compensation Data Analytics jobs in New York?

For Compensation Data Analytics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Compensation Data Analytics jobs in New York look for?

The top searched job categories for Compensation Data Analytics jobs in New York are:

What cities in New York are hiring for Compensation Data Analytics jobs?

Cities in New York with the most Compensation Data Analytics job openings:

Compensation Data Analytics jobs near you

Data Analytics Engineer

D'Addario & Company

Farmingdale, NY • On-site

$115K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Overview
D'Addario & Company is the largest manufacturer and distributor of musical instrument accessories in the world. As a US based manufacturing company, we pride ourselves on high automation machinery and innovative technology, as well as our commitment to environmentally sustainable practices. Through our work with the D'Addario Foundation we are committed to helping make music education accessible and ensuring hundreds of thousands of students can participate in music-making programs worldwide, regardless of instrumentation, genre, or life circumstance. Most importantly, we pride ourselves on our diverse team of individuals who commit to the embodiment of our core values of curiosity, passion, candor, family and responsibility and translate them into action every day.
The Business Intelligence team is looking for a hands-on Data Analytics Engineer to help build, transform, and optimize D'Addario's global data infrastructure. In this role, you'll design and maintain production-grade data pipelines while modeling the clean, well-tested, and documented datasets that power reporting and self-service analytics across the company. You'll work closely with the Global Director of BI and our analysts to turn raw data into reliable, business-ready data products.
This is an ideal opportunity for an engineer who thrives at bringing data into order, enjoys solving complex data challenges, and is passionate about enabling organizational data intelligence.
At D'Addario, we don't just offer a job-we offer a career with one of the most iconic names in the music industry. We're passionate about innovation, craftsmanship, and creating a workplace where diverse backgrounds, perspectives, and ideas thrive. We're eager to connect with individuals who bring fresh thinking and a collaborative spirit. If you're ready to make an impact, we'd love to hear how you'll add value to our team.
Some Perks & Benefits of Working at D'Addario:
  • 401(k) Retirement Plan: Once eligible, D'Addario provides an employer Safe Harbor contribution of 3% of total annual earnings, with the opportunity to earn up to an additional 7% in employer Discretionary contributions, regardless of employee contribution level
  • Health, vision, and dental insurance
  • 12 weeks of fully paid parental leave
  • Fertility and family-building benefits
  • Annual performance and compensation reviews
  • Career pathing and professional development via LinkedIn Learning
  • A generous allotment of Paid Time Off (PTO) days
  • Flexible sick day policy
  • 12 paid holidays
  • Life and AD&D insurance
  • Enhanced short-term disability insurance
  • Employee Assistance Program (EAP)
  • Tuition reimbursement
  • Discounts on D'Addario products and merchandise
  • Company jam nights, artist performances, holiday parties, and special events
  • A passionate, talented team that loves what they do!

Compensation:
We offer a competitive total compensation package. The base salary range for this role is $115,000-$130,000 and is commensurate with experience, skills, and qualifications. This position is eligible for a discretionary annual bonus, in accordance with company policy.
Responsibilities
  • Build & Optimize Pipelines: Design, implement, and maintain robust, high-performance ELT/ETL data pipelines within Microsoft Fabric and our broader data environment.
  • Data Integration: Connect and harmonize new data sources-including ERP, e-commerce platforms, and external APIs-into a centralized data platform.
  • Analytics Data Modeling: Transform raw data into clean, well-structured dimensional models, data marts, and reusable datasets (star schemas) that are analysis-ready for reporting and self-service BI.
  • Semantic Layer & Metrics: Build and maintain semantic models and standardized metric definitions in Power BI and Microsoft Fabric so the business works from a single, trusted source of truth.
  • Data Quality & Testing: Implement automated testing, validation, and monitoring to ensure pipelines and datasets are accurate, reliable, and well-documented.
  • Collaboration: Partner with analysts and stakeholders across Sales, Marketing, Operations, and Product to translate business requirements into reliable data products.
  • Continuous Improvement: Follow and help improve team standards for coding, documentation, version control, and DataOps across our data engineering and analytics workflows.

Qualifications
  • 3+ years of hands-on experience as a Data Engineer, Analytics Engineer, or equivalent
  • Experience building and maintaining production-grade data pipelines and analytics data models
  • Proficiency in Python, PySpark, and SQL
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent professional experience)
  • Preferred experience with Microsoft Fabric, Azure Synapse, or Azure Data Lake
  • Preferred experience implementing DataOps best practices and building transformation models with dbt or similar frameworks
  • Familiarity with API integrations and third-party data ingestion
  • Knowledge of data governance and data quality frameworks
  • Musician or passion for music a plus

Knowledge, skills, & abilities:
  • Strong programming in Python and PySpark for data processing and transformation
  • Advanced SQL and dimensional data modeling (e.g., star schema / Kimball) for analytical performance and scalability
  • Experience building and maintaining ELT/ETL pipelines and transformation layers, including automated testing and validation of analysis-ready datasets
  • Strong understanding of cloud data platforms (Azure preferred)
  • Excellent communication skills with the ability to simplify complex technical concepts
  • Familiarity with semantic modeling and BI tools such as Power BI and Microsoft Fabric
  • Self-directed, highly organized, and comfortable operating in a fast-paced, evolving environment
  • Passion for innovation and leveraging data to create business impact

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