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Data Analytics Jobs in Paramus, NJ (NOW HIRING)

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 ...

Manager, Data Analytics About Us: Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world's first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 ...

Senior Data Analyst, Data Analytics

Manhattan, NY ยท On-site

$94K - $119K/yr

Responsibilities : โ€ข Own and evolve our core data models, ensuring the analytics layer accurately reflects business logic across the company's unit economics model. โ€ข Partner directly with ...

Manager, Data Analytics

New York, NY ยท Hybrid

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Data & Analytics Architect

Short Hills, NJ ยท On-site

$69.25 - $89.25/hr

The Data and Analytics Architect will be responsible for designing data platforms and applications, establishing architecture patterns, and collaborating with IT and business partners to enhance data ...

Manager, Data Analytics

New York, NY ยท On-site

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Manager, Data Analytics

New York, NY ยท Hybrid

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Manager, Data Analytics

Manhattan, NY ยท On-site

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients ...

Data Analytics Engineer

New York, NY ยท On-site

$110K - $120K/yr

Position Overview The Data Analytics Enginee r designs, builds, and supports RugsUSA's enterprise data warehouse and business intelligence platform. Working closely with business stakeholders and ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients ...

Data Analytics Manager

New York, NY ยท On-site

$105K - $135K/yr

We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our partner ecosystem. In this role, you won't just track partner performance-you will build the ...

Data Analytics Engineer

New York, NY ยท On-site

$170K - $210K/yr

We are looking for an Analytics / Data Engineer to build the foundation that enables scalable reporting, trusted metrics, and seamless data access across the company. What You'll Do * Design, build ...

Data Analytics Manager

New York, NY ยท Remote

$105K - $135K/yr

We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our partner ecosystem. In this role, you won't just track partner performance--you will build the ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients ...

Showing results 21-40

Data Analytics information

See Paramus, NJ salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data analytics in Paramus, NJ is $55.40, according to ZipRecruiter salary data. Most workers in this role earn between $44.52 and $62.74 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What are the most commonly searched types of Data Analytics jobs in Paramus, NJ?

The most popular types of Data Analytics jobs in Paramus, NJ are:

What are popular job titles related to Data Analytics jobs in Paramus, NJ?

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

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

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

Infographic showing various Data Analytics job openings in Paramus, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $115,231 per year, or $55.4 per hour.

Senior Data Analyst, Data Analytics

Current

New York, NY โ€ข On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 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