1

Data Jobs in Secaucus, NJ (NOW HIRING)

Staff Data Analyst

Manhattan, NY ยท On-site

$100 - $125/hr

About the Role Polymarket is looking for a Staff Data Analyst sitting within the Revenue and Strategic Insights team, reporting directly to the Head of Revenue. You'll own the analytical ...

Brand Data Strategist

Manhattan, NY ยท On-site

$150 - $200/hr

Role Roadmap Kalshi is looking for a highly analytical, consumer-obsessed Brand Data Strategist to help us understand what works, why it works, and how we can make better marketing decisions. As ...

Data Steward - Data Operations (NY) Entity: KBRA Holdings, LLC Employment Type: Full-Time Location: New York, NY Summary/Overview KBRA Data Management is part of the Technology department and works ...

Data Steward - Data Operations (NY) Entity: KBRA Holdings, LLC Employment Type: Full-Time Location: New York, NY Summary/Overview KBRA Data Management is part of the Technology department and works ...

The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the overall service delivery of our managed services with respective clients. This position will manage ...

Data Engineer, Data Foundations

New York, NY ยท On-site

$160K - $325K/yr

As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises ...

As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises ...

Data Analyst . Duration: 3+ Years Location: Brooklyn, New York 11201. REQ ID: 06022017-2DA PROJECT SCOPE: NYCERS seeks at minimum two (2) Data Analysts to work with the Information Technology (IT) ...

Data Analyst

Clark, NJ ยท On-site

Job Title - Data Analyst End Client - L Oreal Location - Clark, NJ, Remote. Primary Skills Required - ETL *Individuals will be handling multiple activities in a team supporting diverse NA Scientific ...

Data Architect

Boonton, NJ

$65.75 - $84.75/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Data Architect

New York, NY ยท On-site

$69.75 - $89.75/hr

The Data Architect is responsible for designing, analyzing, and optimizing enterprise data structures and integration solutions supporting the NYC Department of Education's Special Education systems.

Data Modeler

New York, NY ยท On-site

$60 - $77.75/hr

Data Modeler Must Have Technical/Functional Skills: * ER Studio and Data Modeling expertise, Delivery of Data products leveraging Databricks on AWS, Strong Data modeling (Conceptual, Logical ...

Deliver strategic data initiatives within a large multinational bank, including cloud migration, data platform modernization, and enterprise-wide data transformation programs * Define and execute ...

Showing results 21-40

Data information

See Secaucus, NJ salary details

$46.8K

$167.8K

$247.6K

How much do data jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data in Secaucus, NJ is $167,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,700.00 and $172,800.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

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

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

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

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

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

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

What job categories do people searching Data jobs in Secaucus, NJ look for?

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

What cities near Secaucus, NJ are hiring for Data jobs?

Cities near Secaucus, NJ with the most Data job openings:

Infographic showing various Data job openings in Secaucus, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $167,771 per year, or $80.7 per hour.

Staff Data Analyst

Unchain Data

Manhattan, NY โ€ข On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

About Polymarket

Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.

We're growing fast โ€” both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.

About the Role

Polymarket is looking for a Staff Data Analyst sitting within the Revenue and Strategic Insights team, reporting directly to the Head of Revenue. You'll own the analytical infrastructure that tells us how the business is performing โ€” growth, liquidity, revenue, retention, market health, and everything in between.

The mandate is straightforward: make sure leadership always has a clear, accurate, and timely picture of what's happening across the business โ€” and make sure that picture is actionable. That means owning KPI frameworks, building the dashboards and reports that executives and the board rely on, and going deep when something looks off or an opportunity is hiding in the data.

This role is for someone who thrives on ambiguity and moves fast. You'll work across a mix of structured and complex data, build analysis from the ground up, and field high-priority questions from senior leadership on tight timelines. If you like digging into raw data, forming a point of view, and presenting it with conviction, read on.

What You'll Do
  • Own executive and board-level reporting, including business reviews, KPI dashboards, and recurring performance summaries that give leadership a reliable source of truth on growth, volume, revenue, and retention
  • Monitor business performance daily and proactively surface trends, anomalies, and risks before leadership has to ask โ€” with clear context on what's driving them and what to do about it
  • Run deep-dive analyses on user behavior, trading activity, market performance, and revenue drivers to identify what's working, what isn't, and where the biggest opportunities are
  • Evaluate the impact of product launches, pricing changes, marketing campaigns, and liquidity programs on key business outcomes, and translate results into clear recommendations
  • Build forecasting models and scenario analyses to support planning cycles, investment decisions, and resource allocation across the business
  • Partner with Product, Finance, Growth, and Engineering to align on metric definitions, priorities, and how analytical work connects to business decisions
  • Improve the systems and processes behind how we report, reducing manual work and making it easier to automatically surface the insights that matter most
What We're Looking For
  • 7+ years of experience in data analysis or business intelligence, with a track record of working directly with senior stakeholders
  • Strong SQL skills โ€” you can take raw, complex data and turn it into clean, reliable analysis without needing someone to prep it for you
  • Experience owning business-wide reporting and KPI frameworks, not just contributing to them
  • Solid understanding of core business fundamentals โ€” acquisition, retention, order size, monetization โ€” so your analysis comes with real context and your recommendations actually land
  • Ability to communicate findings clearly and concisely to executives โ€” you write and present in a way that builds confidence, not confusion
  • High attention to detail โ€” you check your work, and then you check it again, because you know that a number error in a board deck has consequences
  • (Plus) Experience in crypto, fintech, prediction markets, or another data-intensive financial product
Benefits
  • Competitive salary & equity
  • Unlimited PTO
  • Full Health, Vision, & Dental coverage
  • 401k match
  • Hardware setup: new MacBook Pro, big display, & accessories
#J-18808-Ljbffr