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Data Analytics Engineer Jobs in Manhattan, NY (NOW HIRING)

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

New York, NY · On-site

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an Analytics / Data Engineer to build the foundation that enables scalable reporting, trusted metrics, and seamless data access across the company. What You'll Do * Design, build ...

Data Analytics Engineer

New York, NY · On-site

$110K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Position Overview The Data Analytics Enginee r designs, builds, and supports RugsUSA's enterprise ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * Experience developing and ...

Data Analytics Engineer

New York, NY

$150K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Control Engineering team at Clear Street is a small team with a great deal of responsibility ... You'll build on your analytical skills to create solutions that process large amounts of data from ...

Data Analytics Engineer

New York, NY · On-site

$200K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... in data engineering with strong SQL and deep Snowflake expertise * Experience designing efficient, scalable analytical data models * Proficiency with dbt or comparable transformation frameworks

Data Analytics Engineer

New York, NY · On-site

$150K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Control Engineering team at Clear Street is a small team with a great deal of responsibility ... You'll build on your analytical skills to create solutions that process large amounts of data from ...

Analytics Engineer

Rye, NY · On-site

$132K - $142K/yr

This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

Analytics Engineer

Rye, NY · On-site

$142K/yr

This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

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 ... In this role, you will sit at the intersection of data engineering and business intelligence ...

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 ... In this role, you will sit at the intersection of data engineering and business intelligence ...

Senior Analytics Engineer

New York, NY · On-site

$114K - $157K/yr

We're looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN ... You'll turn raw data from Salesforce, Workday, product systems, and other sources into trusted ...

Lead Analytics Engineer

Manhattan, NY · On-site

$112K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborating with data engineers to ensure efficient data pipeline integration and with BI teams to enable effective reporting and visualization. Proactively identifying data quality issues ...

Lead Analytics Engineer

Manhattan, NY · On-site

$112K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities • Designing, developing, and maintaining scalable data models and ... analytics engineering best practices including testing, version control, code reviews, and ...

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

  • Medical

  • PTO

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

Senior Analytics Engineer

New York, NY

$130 - $185K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About The Role Fora is hiring its first Senior Analytics Engineer to help scale how data is modeled ... As our centralized data team grows, we're looking for a dedicated owner of the analytics ...

Director, Data & Analytics

Manhattan, NY · On-site

$360 - $410/hr

  • Retirement

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

Our Data team sits at the center of how Pelago makes decisions. As we scale, we're building a data ... The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ...

Director, Data & Analytics

New York, NY · On-site

$410K/yr

  • Retirement

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

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Showing results 1-20

Data Analytics Engineer information

See Manhattan, NY salary details

$49.1K

$143.2K

$195.9K

How much do data analytics engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analytics engineer in Manhattan, NY is $143,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,400.00 and $151,700.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Manhattan, NY?

The most popular types of Data Analytics Engineer jobs in Manhattan, NY are:

What are popular job titles related to Data Analytics Engineer jobs in Manhattan, NY?

For Data Analytics Engineer jobs in Manhattan, NY, the most frequently searched job titles are:

What cities near Manhattan, NY are hiring for Data Analytics Engineer jobs?

Cities near Manhattan, NY with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Manhattan, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $143,158 per year, or $68.8 per hour.

Data & Analytics Engineer

Forus Inc

New York, NY • On-site

$170K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

About us
Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients.
Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions.
Forus has exceptional product-market fit and is growing rapidly through organic adoption:
  • Accelerating scale: We already support patients across more than 80% of ZIP codes and partner with 5 of the 10 largest biopharma companies in the world.
  • AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable.
  • Backing to build for the long term: We raised $160M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity.

Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.
If we succeed, science will be the only limit to medicine.
All full-time roles are in person in New York.
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, and reporting infrastructure, ensuring the right people have access to clean, trustworthy, decision-grade data. This is a cross-functional, impact-heavy role in which you will work closely with product, ops, growth, and leadership to build the systems that enable better, faster decisions across the company.
You will also help define our data & analytics engineering practices: how we structure metrics, review code, manage pipelines, and build for scale. Your work will directly support everything from product usage visibility to operational performance to life sciences client reporting.
This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Forus' success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.
If you join, you will:
  • Build and maintain the core data models that serve as the foundation for internal analytics and client-facing insights
  • Design and operate the data pipelines that transform raw sources into clean, analytics-ready tables
  • Create dashboards and reporting tools that drive performance visibility and decision-making across product, ops, and GTM
  • Define and enforce metric consistency across teams - including core business KPIs and product usage definitions
  • Help improve and scale our analytics stack (we use GCP BigQuery and Dataform, Fivetran, Postgres, and dashboarding tools)
  • Collaborate with stakeholders across teams to understand data needs and translate them into reliable systems
  • Contribute to internal data culture through documentation, education, and code quality standards

We're looking for you if you have:
  • 3-6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership
  • Expert-level SQL and comfort working in a code-first environment (versioning, testing, documentation)
  • Experience designing data models that balance usability, performance, and long-term maintainability
  • Familiarity with the modern data stack - dbt, Fivetran, Airflow, GCP/AWS/Snowflake, Metabase (or equivalents)
  • Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
  • Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
  • High NPS with your former teammates

This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We're excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.
Working with us
Forus is based in New York, with our full team working out of a beautiful and spacious office in SoHo.
We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:
  • Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up. Stay open to changing your mind.
  • Resourceful optimism. Assume problems are solvable. Be audacious. Resist false constraints and push beyond the obvious before deciding.
  • Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones. All killer, no filler.
  • Raise the bar. Hold a high standard for your pace and execution, and elevate the performance of the team around you. Mamba mentality.
  • Fight for users. Start with users' realities, not ours. Resist optimizing for internal convenience over user outcomes.

We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins will be a major contributor to our success, and we reflect this through ownership and pay.
We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):
  • Fully covered medical, vision, and dental insurance.
  • Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
  • Unlimited paid time off (PTO) and 16 weeks of parental leave.
  • 401K plan setup, FSA option, commuter benefits, and DashPass.
  • Lunch at the office every day and Dinner at the office after 6:30 pm.

Our salary ranges are based on paying competitively for our company's size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Forus (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.
Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.