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Analytics Engineer Jobs in Hoboken, NJ (NOW HIRING)

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 ...

Analytics Engineer

New York, NY · Remote

$125K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Overview We are looking for a talented and passionate Analytics Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining data infrastructure to ...

Analytics Engineer

New York, NY · On-site

$125K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Overview We are looking for a talented and passionate Analytics Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining data infrastructure to ...

Senior Product Analytics Engineer New York, NY Hybrid Role $60 - $75 per hour (dependent on years of experience) ABOUT THE ROLE Our client, a Fortune Broadcast Media & Entertainment organization, is ...

Senior Analytics Engineer

New York, NY · On-site +1

$126K - $180K/yr

  • Medical

  • Retirement

Senior Analytics Engineer As a member of our data team, you'll deliver high-quality work while designing scalable data models and solving challenges that impact the team's data architecture. You'll ...

Senior Analytics Engineer

New York, NY · On-site +1

$126K - $180K/yr

  • Medical

  • Retirement

Senior Analytics Engineer As a member of our data team, you'll deliver high-quality work while designing scalable data models and solving challenges that impact the team's data architecture. You'll ...

Analytics Engineer

New York, NY · On-site

$140K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 Engineer

New York, NY · On-site

$140K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 Engineer

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a detail-oriented and business-minded Analytics Engineer to join the RADAR Data Products team. In this role, you will sit at the intersection of data engineering and business ...

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 ...

Analytics Engineer I

New York, NY · On-site

$106K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Analytics Engineer

Manhattan, NY · On-site

$126K - $180K/yr

  • Medical

  • Retirement

Senior Analytics Engineer As a member of our data team, you'll deliver high-quality work while designing scalable data models and solving challenges that impact the team's data architecture. You'll ...

They are seeking a Senior Analytics Engineer to scale data modeling and delivery across the company, ensuring timely and actionable insights for stakeholders. Responsibilities : • Own and mature ...

Analytics Engineer

New York, NY

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a detail-oriented and business-minded Analytics Engineer to join the RADAR Data Products team. In this role, you will sit at the intersection of data engineering and business ...

Analytics Engineer

New York, NY · On-site

$180K - $260K/yr

As an Analytics Engineer, you will build and own the product analytics foundation at Profound. You will define success metrics, map the user journey, and uncover insights that shape how we build and ...

Analytics Engineer

New York, NY · On-site

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About the Role We're looking for an Analytics Engineer to build our data and analytics function from the ground up. This is a foundational role - you'll be one of the first three people dedicated to ...

Analytics Engineer

New York, NY · On-site

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About the Role We're looking for an Analytics Engineer to build our data and analytics function from the ground up. This is a foundational role - you'll be one of the first three people dedicated to ...

Analytics Engineer

New York, NY · On-site

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About the Role We're looking for an Analytics Engineer to build our data and analytics function from the ground up. This is a foundational role -- you'll be one of the first three people dedicated to ...

Showing results 21-40

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.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

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 business insights.

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

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

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

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

Infographic showing various Analytics Engineer job openings in Hoboken, NJ as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Sr. Analytics Engineer

Pelago

New York, NY • On-site

Full-time

Posted 25 days ago


Job description

Pelago is the leading specialty substance use care provider, built on the belief that effective treatment means matching care intensity to what each member actually needs rather than defaulting to the most expensive intervention. Our programs guide members through every stage of the substance use spectrum, from unhealthy habits to active use disorders, delivering personalized treatment for tobacco, alcohol, opioid, cannabis, and stimulant use based on individual health, habits, genetics, and goals.
With Sona, our voice-first AI Mental Health Specialist, Pelago now applies that same clinically-driven model to mental health, pairing deep clinical expertise with technology to expand access without compromising care quality. We believe technology should make clinical care more precise and more human, not replace the judgment behind it.
Pelago has scaled to helping hundreds of employers and health plans and has already helped more than 750,000 members better manage their substance use. If you're passionate about AI and making an impact on the health of others, join us and make it happen!
About Pelago Data:
Our Data team sits at the center of how Pelago makes decisions. As we scale, we're building a data function that doesn't just report on the business - it shapes it.
We transform complex healthcare and product data into clean, reliable, well-documented models that power reporting, experimentation, AI initiatives, and day-to-day decision-making across the company. 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 instincts to match. You don't just build data models - you shape how data is defined, interpreted, and used across Pelago.
In this role, you'll drive how data is structured across the company, build the semantic foundations that teams rely on, and bring cross-functional clarity to ambiguous business problems. You operate at the intersection of engineering precision and business judgment, and you're as comfortable influencing stakeholders as writing dbt.
What You'll Do:
Lead the analytics foundation
  • Architect and own scalable dbt model layers that serve analytics, experimentation, AI, and downstream ML workflows
  • Set the standard for transformation logic, documentation, and observability across the data stack
  • Drive performance, maintainability, and reliability of Pelago's transformation pipelines
  • Establish data quality frameworks - testing, validation, monitoring - that the whole team builds on

Own business logic and metrics at scale
  • Translate ambiguous, cross-functional business requirements into structured, reusable data models - without waiting for full clarity
  • Define, govern, and evolve Pelago's KPI and metric layer to ensure consistency across teams and tools
  • Lead development of data marts for dashboards, experimentation, ROI analysis, clinical outcomes, and AI workflows
  • Proactively identify and resolve metric fragmentation before it becomes a reporting problem
  • Create scalable solutions beyond resolving known patterns - you find and resolve the ambiguous ones

Drive cross-functional outcomes
  • Build consensus across Product, Clinical, Finance, Growth, Client Success, and Data Engineering on how shared data assets are defined and used
  • Navigate competing team priorities and align stakeholders on data modeling decisions
  • Mentor and support Analytics Engineers and Data Analysts - elevating team output, not just your own
  • Influence data governance and analytics best practices across the org, not just your squad

Enable advanced and agentic analytics
  • Structure data assets for experimentation, personalization engines, ROI measurement, and AI/LLM workflows
  • Identify where AI and automation can change how the data team works - and drive adoption, not just experimentation
  • Build toward Pelago's Cube/semantic API layer, creating standardized data access for internal and external stakeholders
  • Partner with Data Science and ML to ensure feature-ready, well-characterized datasets
What We Look For:
Required
  • 5+ years of experience in analytics engineering, data analytics, or data modeling
  • Expert SQL skills and a track record building production-grade data models at cross-functional scale
  • Deep understanding of data warehousing, dimensional modeling, and semantic layer design
  • Advanced dbt skills - you've set patterns, not just followed them
  • Experience with modern data stacks (Redshift, Snowflake, or similar) and the judgment to make architectural tradeoffs
  • Demonstrated ability to define metrics and resolve ambiguity across teams - not just implement requirements
  • Strong stakeholder management and communication skills; you build consensus, not just models
  • Experience working in cross-functional, fast-moving environments with competing priorities

Preferred
  • Experience with Looker, Cube.js, or similar semantic layer / BI tooling at an architectural level
  • Familiarity with healthcare data, regulated environments, or compliance-adjacent data pipelines
  • Experience supporting experimentation design, A/B analysis, or ROI measurement frameworks
  • Hands-on experience with AI/ML data preparation, feature engineering, or agentic analytics
  • Track record of mentoring engineers or raising team-level data quality standards
  • Experience with data observability tooling (Monte Carlo, Elementary, or similar)

The provided range reflects our US target salary range for this full-time position, which is part of our broader total compensation package, including incentive bonus program, stock options, comprehensive benefits, and incentive pay applicable to eligible roles. Individual pay within the range will vary based on a variety of factors like role-related experience and education, internal pay equity, and other relevant business factors. At Pelago, we are committed to an equitable and fair pay philosophy and review total compensation for our employees at least twice a year.
Base Pay Range
$175,000-$190,000 USD