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Analytics Engineer Jobs in Edison, NJ (NOW HIRING)

US Mobile

Analytics Engineer

New York, NY

$140K - $190K/yr

We're looking for an Analytics Engineer to help build, scale, and maintain the data foundation that powers decision-making across the company. You'll work closely with stakeholders across product ...

Aperia

Analytics Engineer

New York, NY

Job Title Analytics Engineer Summary Join Aperia Solutions, a leader in SaaS solutions for the Payments and Compliance industries. Aperia is a Texas-based fintech and managed consultancy firm that ...

Lindblad Expeditions

Analytics Engineer

New York, NY · On-site

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of various aspects such as data design, data architecture, data governance, reporting, and more. You will ...

Aperia

Analytics Engineer

New York, NY · On-site

Job Title Analytics Engineer Summary Join Aperia Solutions, a leader in SaaS solutions for the Payments and Compliance industries. Aperia is a Texas-based fintech and managed consultancy firm that ...

Lindblad Expeditions

Analytics Engineer

New York, NY · Hybrid

$130K - $150K/yr

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of various aspects such as data design, data architecture, data governance, reporting, and more. You will ...

Alloy

Senior Analytics Engineer

New York, NY · Hybrid

Analytics Engineering sits at the center of all three. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a ...

Eliassen Group

Analytics Engineer

New York, NY · Remote

$55 - $65/hr

We are looking for Analytics Engineers to build and own domain datasets that will power insights, executive reporting, and strategic initiatives. This individual contributor role will focus on ...

Alloy

Senior Analytics Engineer

New York, NY · On-site

Analytics Engineering sits at the center of all three. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a ...

Duetti

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

Role Overview We're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and ...

Lindblad Expeditions

Analytics Engineer

New York, NY · Hybrid

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of various aspects such as data design, data architecture, data governance, reporting, and more. You will ...

Duetti

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

Role Overview We're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and ...

Morgan & Morgan, P.A.

Analytics Engineer

New York, NY · On-site

$120K - $160K/yr

Qualifications • BS or MS in Engineering, Computer Science, Statistics, or related quantitative field. • 4+ years of experience in data science, engineering, analytics, or forecasting in a ...

Pelago

Sr. Analytics Engineer

New York, NY · On-site

The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: We're looking for a Senior Analytics Engineer who brings deep technical craft and the strategic ...

Duetti

Analytics Engineer

New York, NY

$100K - $140K/yr

Role Overview We're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and ...

Oscar Health

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

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

Fora

Senior Analytics Engineer

New York, NY

$130 - $185K/hr

About The Role Fora is hiring its first Senior Analytics Engineer to help scale how data is modeled, curated, and delivered across the company. As our centralized data team grows, we're looking for a ...

Chobani

Lead Analytics Engineer

Manhattan, NY

$112K - $148K/yr

Summary The Lead Analytics Engineer (L3) is responsible for driving analytics engineering initiatives and delivering high-quality data models that enable data-driven decision making across the ...

Chobani

Lead Analytics Engineer

Manhattan, NY · On-site

$112K - $148K/yr

Summary The Lead Analytics Engineer (L3) is responsible for driving analytics engineering initiatives and delivering high-quality data models that enable data-driven decision making across the ...

Chobani

Lead Analytics Engineer

Manhattan, NY · On-site

$112K - $148K/yr

Summary The Lead Analytics Engineer (L3) is responsible for driving analytics engineering initiatives and delivering high-quality data models that enable data-driven decision making across the ...

Pelago

Sr. Analytics Engineer

New York, NY · On-site

The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: We're looking for a Senior Analytics Engineer who brings deep technical craft and the strategic ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Edison, NJ

Analytics Engineer information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the most commonly searched types of Analytics Engineer jobs in Edison, NJ?

The most popular types of Analytics Engineer jobs in Edison, NJ are:

What are popular job titles related to Analytics Engineer jobs in Edison, NJ?

For Analytics Engineer jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in Edison, NJ look for?

The top searched job categories for Analytics Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Analytics Engineer jobs?

Cities near Edison, NJ with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Analytics Engineer

US Mobile

New York, NY

$140K - $190K/yr

Full-time

Re-posted 22 days ago

Job description

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.
We’re getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It’s working — Consumer Reports named us the top-rated mobile carrier two years in a row.*

And we’re building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you.


We're looking for an Analytics Engineer to help build, scale, and maintain the data foundation that powers decision-making across the company. You'll work closely with stakeholders across product, analytics, engineering, and operations to understand business needs, design reliable data models, and deliver high-quality reporting and analytics infrastructure.
Responsibilities:
  • Partner with stakeholders to understand data needs and translate business questions into technical requirements for data models, pipelines, dashboards, and self-service tools.
  • Design, build, document, and maintain reliable data pipelines using dbt, Dagster, Redshift, and related tools.
  • Transform raw data into trusted, canonical datasets for reporting, analysis, experimentation, and decision-making.
  • Build high-performance dashboards and analytical tools in Hex, Tableau, or similar platforms.
  • Use AI tooling to accelerate pipeline development, SQL/dbt work, and documentation.
  • Partner with data scientists, analysts, and engineers to bridge business needs and data infrastructure.
Requirements:
  • 5+ years of experience in analytics engineering, data engineering, or business intelligence, ideally in a fast-paced, high-growth environment.
  • Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization.
  • Hands-on experience designing and maintaining reliable data pipelines using modern tools such as dbt, Dagster, Redshift, or equivalent.
  • Proficiency in a scripting language; Python preferred.
  • Demonstrated use of AI in your day-to-day workflow — LLM-assisted coding or prompt-driven data exploration.
  • Experience building dashboards and analytical tools in Hex, Tableau, or comparable BI/reporting platforms.
  • Strong understanding of data modeling, metric design, and analytics engineering best practices.
  • Strong communication skills, with a bias toward clear documentation, reliable systems, and measurable business impact.
Benefits & Perks:
  • Health care coverage through Aetna (Medical, Dental, Vision)
  • Flexible paid time off 
  • Gym reimbursement (up to $100 a month)
  • Commuter reimbursement (MTA, Metro North, etc..)
  • Free cell phone service
  • Your choice of equipment + Bose QC/Apple Airpod Pro headphones
  • 401k
Think you're a good fit? Apply to learn more!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.