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Compensation Data Analytics Jobs in New York (NOW HIRING)

MJHS

Compensation & Retirement Analyst

Manhattan, NY · On-site

$85K - $95K/yr

Maintains compensation data accuracy across HRIS, payroll, and vendor platforms. Maintains ... Strong organizational and analytical skills with high attention to detail. * Ability to manage ...

Fireblocks

Data Analytics AI Engineer

New York, NY · On-site

$156K - $204K/yr

The team has evolved from providing deep analysis to becoming enablers, bringing the right data and ... The base salary is one component of the total compensation package, which for some roles may ...

Fireblocks

Data Analytics AI Engineer

New York, NY · On-site

$156K - $204K/yr

The team has evolved from providing deep analysis to becoming enablers, bringing the right data and ... The base salary is one component of the total compensation package, which for some roles may ...

MJHS

Compensation & Retirement Analyst

Manhattan, NY · On-site

$85K - $95K/yr

Maintains compensation data accuracy across HRIS, payroll, and vendor platforms. Maintains ... Strong organizational and analytical skills with high attention to detail. * Ability to manage ...

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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.
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

Manager, Data Analytics & Forecasting

Dow Jones & Company, Inc.

Manhattan, NY • On-site

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

Dow Jones rating

8.7

Company rating: 8.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

3rd of 19 rated publishing

Job description

Job Description:
Manager, Consumer Data Analytics & Forecasting
Dow Jones New York, NY Job ID 52796
About the Role:
The Dow Jones Data Science team is looking for a Data-driven Analytics & Insights Manager with a strong foundation in statistics, experimentation, and marketing analytics, known for turning complex data into clear, actionable strategies that drive measurable revenue growth, profitability, and customer lifetime value. Expert at partnering with marketing, product, and finance to define the right questions, design robust analyses and tests, and translate findings into decisions that move key KPIs. Comfortable working across large, messy datasets and modern analytics stacks, with a track record of building scalable reporting, forecasting, and insight frameworks that improve decision quality at all levels of the organization
You Will:
  • Revenue-focused analytics: Connects data work directly to business outcomes → conversion, retention, ARPU, CLV, ROAS, payback
  • Statistical rigor: Hands-on with hypothesis testing, experiment design, regression, segmentation, forecasting, and causal inference concepts.
  • Subscription & growth analytics: Deep experience measuring and optimizing campaigns, business strategies, funnels, pricing, and personalization across channels.
  • Storytelling with data: Distills complex analyses into simple narratives and visuals that influence senior stakeholders and drive decisions.
  • Roadmapping & prioritization: Builds clear analytics roadmaps aligned to business priorities
  • Team leadership: Coaches analysts, sets standards for quality and speed, and creates a culture of curiosity and impact.

You Have:
  • Bachelor's or Master's degree in Economics, Finance, Data Science, Marketing Analytics, or equivalent experience.
  • 7-10 years of experience in Marketing Analytics focused on the Media Industry
  • Advanced proficiency in statistics and experimentation (A/B testing, hypothesis testing, regression, segmentation, forecasting, causal inference) to support confident decision-making.
  • Hands-on experience building KPI frameworks, measuring success of business strategies , scalable dashboards and forecasting models that improve visibility into performance and enable proactive course correction.
  • Advanced proficiency in Python, R , SQL, Excel, and other statistical tools
  • Strong communication skills, including experience presenting to senior stakeholders
  • Ability to work under tight deadlines

Our Benefits
  • Comprehensive Healthcare Plans
  • Paid Time Off
  • Retirement Plans
  • Comprehensive Insurance Plans
  • Lifestyle Programs & Wellness Resources
  • Education Benefits
  • Family Care Benefits & Caregiving Support
  • Commuter Transit Program
  • Subscription Discounts
  • Employee Referral Program
  • Financial Health Programs
  • Cybersecurity Protection

Learn more about all our US benefits
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets
Reasonable Accommodation
We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.
Business Area:
Dow Jones - Marketing
Job Category:
Data Analytics/Warehousing & Business Intelligence
Union Status:
Non-Union role
Base Pay Range: 110,000.00 - 140,000.00
We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors.
For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.
For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.

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