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Data Analytics Jobs in Paramus, NJ (NOW HIRING)

Forus Inc

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines ...

American Express

Director, Data Analytics

New York, NY · On-site

American Express Company seeks Director, Data Analytics to provide data-intensive, strategic assessments of products and respond to portfolio-specific business questions. Position requires a Master ...

Carian

Data Analytics Process Lead

Newark, NJ · On-site

Data Analytics Process Lead Location: Newark, New Jersey Job Type: Full-time (Hybrid (3 days a week in office)) About Us CARIAN is a purpose-driven, woman-owned consulting and advisory firm dedicated ...

Qvest US

Practice Lead, Data & Analytics

New York, NY · On-site

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1 ...

City of New York

Data Analytics Grad Intern

Manhattan, NY · On-site

$20 - $30/hr

DOF's Tax Policy & Data Analytics Division reviews, analyzes, and evaluates existing and proposed policies and legislation that affect the Department of Finance and New York City in general. This ...

Clear Street

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 our data warehouse to generate clean, correct reporting, including building out reconciliations. You ...

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All JobsData Analytics JobsData Analytics Jobs in Paramus, NJ

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 job categories do people searching Data Analytics jobs in Paramus, NJ look for?

The top searched job categories for Data Analytics jobs in Paramus, NJ are:

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

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

Data Analytics jobs near you
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.

Data & Analytics Engineer

Forus Inc

New York, NY • On-site

$170K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

About us
Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients.
Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions.
Forus has exceptional product-market fit and is growing rapidly through organic adoption:
  • Accelerating scale: We already support patients across more than 80% of ZIP codes and partner with 5 of the 10 largest biopharma companies in the world.
  • AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable.
  • Backing to build for the long term: We raised $160M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity.

Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.
If we succeed, science will be the only limit to medicine.
All full-time roles are in person in New York.
About the role
As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines, and reporting infrastructure, ensuring the right people have access to clean, trustworthy, decision-grade data. This is a cross-functional, impact-heavy role in which you will work closely with product, ops, growth, and leadership to build the systems that enable better, faster decisions across the company.
You will also help define our data & analytics engineering practices: how we structure metrics, review code, manage pipelines, and build for scale. Your work will directly support everything from product usage visibility to operational performance to life sciences client reporting.
This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Forus' success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.
If you join, you will:
  • Build and maintain the core data models that serve as the foundation for internal analytics and client-facing insights
  • Design and operate the data pipelines that transform raw sources into clean, analytics-ready tables
  • Create dashboards and reporting tools that drive performance visibility and decision-making across product, ops, and GTM
  • Define and enforce metric consistency across teams - including core business KPIs and product usage definitions
  • Help improve and scale our analytics stack (we use GCP BigQuery and Dataform, Fivetran, Postgres, and dashboarding tools)
  • Collaborate with stakeholders across teams to understand data needs and translate them into reliable systems
  • Contribute to internal data culture through documentation, education, and code quality standards

We're looking for you if you have:
  • 3-6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership
  • Expert-level SQL and comfort working in a code-first environment (versioning, testing, documentation)
  • Experience designing data models that balance usability, performance, and long-term maintainability
  • Familiarity with the modern data stack - dbt, Fivetran, Airflow, GCP/AWS/Snowflake, Metabase (or equivalents)
  • Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
  • Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
  • High NPS with your former teammates

This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We're excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.
Working with us
Forus is based in New York, with our full team working out of a beautiful and spacious office in SoHo.
We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:
  • Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up. Stay open to changing your mind.
  • Resourceful optimism. Assume problems are solvable. Be audacious. Resist false constraints and push beyond the obvious before deciding.
  • Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones. All killer, no filler.
  • Raise the bar. Hold a high standard for your pace and execution, and elevate the performance of the team around you. Mamba mentality.
  • Fight for users. Start with users' realities, not ours. Resist optimizing for internal convenience over user outcomes.

We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins will be a major contributor to our success, and we reflect this through ownership and pay.
We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):
  • Fully covered medical, vision, and dental insurance.
  • Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
  • Unlimited paid time off (PTO) and 16 weeks of parental leave.
  • 401K plan setup, FSA option, commuter benefits, and DashPass.
  • Lunch at the office every day and Dinner at the office after 6:30 pm.

Our salary ranges are based on paying competitively for our company's size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Forus (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.
Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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