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Data Analytics Jobs in Paramus, NJ (NOW HIRING)

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 ...

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 Manager

Manhattan, NY ยท On-site

$105 - $135/hr

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 ...

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 ...

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 ...

Data & Analytics Engineer

New York, NY ยท 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 ...

Data Analytics Engineer

Manhattan, NY ยท On-site

$110 - $120/hr

Data Analytics EngineerRugsUSA New York, New York, United States About this position About RugsUSA Since launching in 1998, Rugs USA hasestablisheditself as a leading innovative online destination ...

Data Analytics Engineer

Manhattan, NY ยท On-site

$110 - $120/hr

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 ...

Data Analytics Engineer

Manhattan, NY ยท On-site

$108 - $162/hr

Data Analytics Engineer w/ Spotify USA, Inc. in NY, NY. Supprt the Content Analytics Personalizatn & Editorial team for all their infrastructure needs. Bach Deg (U.S. or for equiv) in any field of ...

Data & Analytics Engineer

Manhattan, NY ยท On-site

$120 - $180/hr

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 ...

This highly visible role sits at the intersection of Analytics, Business Development, Customer Success, Product, and Marketing. The successful candidate will translate complex data into actionable ...

Data Systems Analyst

New York, NY ยท On-site

$200K - $240K/yr

Experience designing efficient, scalable analytical data models * Proficiency with dbt or comparable transformation frameworks * Strong data quality instincts and a track record of building ...

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 ...

Showing results 41-60

Data Analytics information

See Paramus, NJ salary details

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$55

$95

How much do data analytics jobs pay per hour?

As of Sep 5, 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 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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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 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, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,231 per year, or $55.4 per hour.

Data Analytics Manager

Madhive

New York, NY โ€ข Remote

$105K - $135K/yr

Full-time

Posted 25 days ago


Job description

Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive’s platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes. Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media. 

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 technical infrastructure that powers our entire partnership strategy. You will bridge the gap between what our partnership and commercial teams need and what our technology can do, translating complex ecosystem processes into automated, scalable, and AI-assisted workflows.

If you love writing SQL and Python, building operational AI agents, and seeing your technical assets directly drive external partner growth and internal revenue velocity, this role is for you.

The Mission: Eliminate manual friction for our channel and strategic partnership teams. You will turn data into a competitive advantage by embedding proactive partner insights and AI-powered automation directly into our daily operations.

This is a hybrid role based in either our New York City or Redwood City office. The successful candidate will be expected to work onsite at least three days per week.

What You'll Do:
  • System Integration & Automation: Translate GTM and partnership processes into working technical systems. Collaborate with Revenue Operations, Sales, and Marketing Ops to scope, prioritize, and deliver automation that reduces manual work and improves data quality.

  • Insight Pipelines & Analytics: Design proactive insight pipelines by translating recurring business and partner needs into clear analytical logic, metric definitions, signal criteria, and output requirements.

  • Workflow Embedding: Partner with analytics, product and revenue teams to embed analytics into workflows, dashboards that help tell the greater story.

  • Data-Driven Outputs: Develop outputs that help internal and partner-facing teams prioritize effort, identify risk and t opportunity, and act with greater precision.

  • AI Tooling: Apply AI- and LLM-assisted tools to improve analytical speed and quality across exploration, documentation, anomaly detection, query development, and workflow design.

  • Strategic Problem Solving: Translate ambiguous commercial and partnership problems into clear analytical plans, stakeholder-aligned requirements, and measurable deliverables.

Who you are:
  • The AI Edge: Hands-on experience building with LLMs and AI agent frameworks—you have shipped real AI-powered tools, not just experimented with them.

  • Technical Toolkit: Strong proficiency in SQL and Python for building repeatable analytics; understanding of Salesforce (+ data model, APIs, reporting, and permissions) is valuable.

  • GTM & Partnership Fluency: Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous, high-growth, data-intensive environments.

  • Industry Context: Familiarity with advertising technology, digital media, measurement, or platform-based commercial models is highly preferred. Experience in CTV, Digital Audio and DOOH is a bonus.

  • Product Mindset: Experience building repeatable analytics, signals, or insight workflows rather than relying solely on ad-hoc analysis.

  • Cross-Functional Collaboration: Proven experience partnering effectively with technical teams and a broad set of internal stakeholders, including client- and partner-facing teams.

  • Communication: Strong written and verbal communication—you can explain technical decisions to non-technical stakeholders and document your work clearly.

  • Adaptability: Comfort working in a fast-moving environment where the roadmap evolves and ownership is broad.

The approximate compensation range for this position is $105,000-$135,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, as well as internal equity among our team.

We are Madhive

Madhive is a dynamic, diverse, innovative, and friendly place to work. We embrace our differences and believe they fuel our creativity. We come from varied backgrounds and think that’s important. Whether it’s taking ideas from previous lives and applying them in different ways or creating something completely new, we are all trail-blazing team players who think big and want to make an impact. 

We are committed to cultivating a culture of inclusion and collaboration. We welcome diversity in education, culture, opinions, race, ethnicity, gender identity, veteran status, religion, disability, sexual orientation, and beliefs.

Please be advised that we will NOT be using third-party recruiting agencies for this search.