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Compensation Data Analytics Jobs in Teaneck, NJ (NOW HIRING)

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 ...

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 ...

Data Analytics - Associate

New York, NY · On-site +1

$100K - $135K/yr

You will sit in the Analytics group of the broader Data & Analytics team within Technology, and ... compensation package which includes salary, equity for all full-time employees, and an annual ...

Data Analytics - Associate

New York, NY · On-site

$100K - $135K/yr

You will sit in the Analytics group of the broader Data & Analytics team within Technology, and ... compensation package which includes salary, equity for all full-time employees, and an annual ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... compensation and selection for training, including internships, at all levels of employment.

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... compensation and selection for training, including internships, at all levels of employment.

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... forms of compensation and selection for training, including internships, at all levels of ...

You'll build on your analytical skills to create solutions that process large amounts of data from ... Competitive compensation, benefits, and perks. The Base Salary Range for this role is $150,000 ...

Data Analytics Engineer

New York, NY · On-site

$150K - $225K/yr

You'll build on your analytical skills to create solutions that process large amounts of data from ... Competitive compensation, benefits, and perks. The Base Salary Range for this role is $150,000 ...

Showing results 21-40

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 Teaneck, NJ?

For Compensation Data Analytics jobs in Teaneck, NJ, the most frequently searched job titles are:

What cities near Teaneck, NJ are hiring for Compensation Data Analytics jobs?

Cities near Teaneck, NJ with the most Compensation Data Analytics job openings:

Infographic showing various Compensation Data Analytics job openings in Teaneck, NJ as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst, Data Analytics

Current

New York, NY • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 16 days ago


Job description

Senior Data Analyst
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
ABOUT THE ROLE
We are looking for a Senior Data Analyst to play a central role in how we build, govern, and scale our analytics function. You will work closely with leadership and cross-functional teams to own data models, drive analytical initiatives, and ensure the business has reliable, well-defined data to make decisions from. This is a high-ownership role that sits at the intersection of data engineering rigour and business-facing analytics - suited to someone who is equally comfortable shaping a governance framework as they are presenting insight to a non-technical audience.
RESPONSIBILITIES
  • Own and evolve our core data models, ensuring the analytics layer accurately reflects business logic across the company's unit economics model.
  • Partner directly with leadership and cross-functional teams (Product, Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives.
  • Own data quality and reliability across the analytics platform - defining standards, implementing tests, and ensuring models are trustworthy before they reach consumers.
  • Provide clear, actionable insight to stakeholders on business performance, customer behaviour, and metric trends - translating complex data into decisions.
  • Take ownership of reconciliation workflows, cross-checking mart outputs against source systems and flagging discrepancies.
  • Support the broader team with ad hoc analytics requests, with each task building domain context across Current's metrics and business logic.
  • Build and maintain dashboards, reports, and Looker explores that track KPIs across product, finance, and operations.
ABOUT YOU
  • 5+ years in a data analytics role where you owned multiple concurrent workstreams and operated with a high degree of autonomy.
  • At least 2-3 years in a consumer-facing fintech, digital banking, payments, or lending environment, working closely with transactional data, product metrics, and customer behavior at scale.
  • Proven track record of taking analytical projects from scoping through to delivery, with ownership over outcomes not just outputs. Strong written and verbal communication; comfortable presenting findings and recommendations to non-technical stakeholders and leadership.
  • Technical proficiency across the modern data stack Advanced SQL in a cloud data warehouse environment (Snowflake, BigQuery, or Redshift) - window functions, CTEs, and complex joins. Hands-on experience with dbt or a comparable transformation tool. Working knowledge of Looker or a comparable BI/semantic layer.
  • Python for scripting and automation. Comfortable writing Python to manipulate data, flag anomalies, and automate repeatable analytical tasks.
Additional Skills and Qualifications
  • Familiarity with Unit Economics concepts - ARPU, contribution profit, cohort LTV, interchange - or experience working with transaction-level data at scale.
  • Experience working in environments where data accuracy and auditability matter - validating outputs and tracing metric definitions across systems.
  • Looker experience is ideal; any hands-on experience building explorers, views, or governed metric layers on top of a mart layer is valuable.
  • Experience contributing to roadmaps, running cross-functional workstreams, or sitting alongside leadership in shaping how analytical work gets structured and prioritised - even informally.

This role has a base salary range of $150,000-$200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
BENEFITS
  • Competitive salary
  • Meaningful equity in the form of stock options
  • 401(k) plan
  • Discretionary performance bonus program
  • Biannual performance reviews
  • Medical, Dental and Vision premiums covered at 100% for you and your dependents
  • Flexible time off and paid holidays
  • Generous parental leave policy
  • Commuter benefits
  • Fitness benefits
  • Healthcare and Dependent care FSA benefit
  • Employee Assistance Programs focused on mental health
  • Healthcare advocacy program for all employees
  • Access to mental health apps
  • Team building activities
  • Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches