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Full Time Data Analytics Engineer Jobs in Manhattan, NY

Forus Inc

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

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 ...

Rugs USA

Data Analytics Engineer

New York, NY · On-site

$110K - $120K/yr

Position Overview The Data Analytics Enginee r designs, builds, and supports RugsUSA's enterprise ... Benefits package offered to all eligible full-time employees (including medical, dental, vision ...

Clear Street

Data Analytics Engineer

New York, NY · On-site

$150K - $225K/yr

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 ...

Clear Street

Data Analytics Engineer

New York, NY · On-site

$150K - $225K/yr

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 ...

New York Blood Center Inc

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.

PUIG

Analytics Engineer

Manhattan, NY

The Analytics Engineer will partner closely with business stakeholders and collaborate across ... Business & Data Analytics team currently operates an analytics ecosystem across Power BI, Python ...

Puig

Analytics Engineer

Manhattan, NY · On-site

The Analytics Engineer will partner closely with business stakeholders and collaborate across ... Business & Data Analytics team currently operates an analytics ecosystem across Power BI, Python ...

StubHub

Senior Analytics Engineer - Data

New York, NY · Hybrid

$200K - $250K/yr

Senior Analytics Engineer - Data (StubHub, Inc., New York, NY) Design, implement, and enhance complex financial data models and analytical pipelines, applying advanced techniques and best practices ...

Clear Channel Outdoor

Analytics Engineer

New York, NY · On-site

$125K - $150K/yr

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 ...

Data Direct Networks

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 ...

MERU

Analytics Engineer, Data Insights

New York, NY · On-site

$125K/yr

Ability to work full time in an office and remote environment; physically able to sit/stand at a ... Services include Data Discovery and Analysis, Data Prep and Integration, Self-Service Analytics ...

Duetti

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

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 ...

Duetti

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

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 ...

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 ... As our centralized data team grows, we're looking for a dedicated owner of the analytics ...

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All JobsData Analytics Engineer JobsFull Time Data Analytics Engineer JobsFull Time Data Analytics Engineer Jobs in Manhattan, NY

Full Time Data Analytics Engineer information

See Manhattan, NY salary details

$49.1K

$143.2K

$195.9K

How much do full time data analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for full time 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.

What does a full time data analytics engineer do?

A Full Time Data Analytics Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze large volumes of data. They work closely with data scientists and business stakeholders to develop pipelines and tools that transform raw data into meaningful insights. Their work involves data modeling, database management, and the use of analytics tools to help organizations make data-driven decisions. Additionally, they ensure data quality, security, and scalability within the analytics infrastructure.

What are the key skills and qualifications needed to thrive as a full time data analytics engineer?

To thrive as a Full Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, data visualization platforms (like Tableau or Power BI), and experience with cloud data systems or certifications (e.g., AWS, Google Cloud) are typical requirements. Exceptional problem-solving abilities, communication skills, and attention to detail help you interpret complex data and collaborate effectively with stakeholders. These skills are essential to transform raw data into actionable insights, driving business decisions and organizational growth.

What are some common challenges faced by full time data analytics engineers when working with diverse data sources?

Full Time Data Analytics Engineers often encounter challenges when integrating and cleaning data from multiple, disparate sources, such as databases, APIs, and flat files. Ensuring data quality, consistency, and compatibility across these sources can be complex and time-consuming. Additionally, the need to collaborate with both technical and non-technical stakeholders to understand data requirements and business objectives requires strong communication skills. Addressing these challenges is critical for delivering accurate and actionable insights.

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 Full Time Data Analytics Engineer jobs in Manhattan, NY?

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

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The top searched job categories for Full Time Data Analytics Engineer jobs in Manhattan, NY are:

Full Time Data Analytics Engineer jobs near you
Infographic showing various Full Time Data Analytics Engineer job openings in Manhattan, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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 25 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.

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