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Data Analytics Jobs in Elizabeth, NJ (NOW HIRING)

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 ...

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 ...

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 ...

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

ABOUT THE ROLE: We're looking for a Director of Data & Analytics, responsible for shaping the vision, strategy, and execution across Data Analytics and Data Science. Reporting to the Chief Strategy ...

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All JobsData Analytics JobsData Analytics Jobs in Elizabeth, NJ

Data Analytics information

See Elizabeth, NJ salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analytics in Elizabeth, NJ is $55.10, according to ZipRecruiter salary data. Most workers in this role earn between $44.28 and $62.40 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 Elizabeth, NJ?

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

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Elizabeth, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,605 per year, or $55.1 per hour.

Data Analytics Engineer

Alchemy Insights, Inc

New York, NY • On-site

$200K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago

Job description

The Role
This role sits at the frontier of how AI consumes and acts on internal company data. You'll be the data layer for the entire company - a strategic partner to Finance, Marketing, Sales, Product, and Data Science - designing the clean, trusted datasets that power our AI tooling and ensuring every team can make decisions from a single source of truth. You'll explore how technologies like MCP can unlock self-serve AI data access across the org, and ensure that as we adopt new AI capabilities, our data is ready to meet them. The rest of the company's AI ambitions run through you.
What You'll Do:
  • Build and own the canonical data models in Snowflake that serve as Alchemy's company-wide source of truth - clean, queryable, and AI-ready
  • Structure datasets so vendor AI tools perform optimally out of the box, with consistent schemas, rich semantics, and well-indexed access patterns
  • Explore and prototype MCP integrations that let internal teams query data conversationally
  • Eliminate shadow tables and one-off datasets by proactively serving team data needs at the platform level, freeing data science to move faster
  • Own the transformation layer (dbt), with rigorous testing and validation so every downstream consumer - human or AI - can trust what they're working with

What We're Looking For:
  • 6+ years in data engineering with strong SQL and deep Snowflake expertise
  • Experience designing efficient, scalable analytical data models
  • Proficiency with dbt or comparable transformation frameworks
  • Strong data quality instincts and a track record of building infrastructure that unblocks teams
  • Good judgment - you scope well, prioritize ruthlessly, and communicate tradeoffs
  • Experience in startups, a plus

Benefits & Perks
Medical, Dental, & Vision
Gym Reimbursement
Home Office Build-out Budget
In-Office Group Meals
Commuter Benefits
Flexible Time Off
Wellbeing & Mental Health Perks
Learning & Development Stipend
Company Sponsored Conferences & Events
HSA and FSA Plans
Fertility Benefits
More on The Role
Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.
The base salary range for this position is estimated to be between $200,000 - $240,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.

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