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Entry Level Data Analytics Engineer Jobs in New York

Forus Inc

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

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 ...

Clear Channel Outdoor

Analytics Engineer

New York, NY

$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 ...

New

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 ...

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Oscar Health

Analytics Engineer I

New York, NY · On-site

$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 ...

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 ...

American Express

Director, Data Analytics

Manhattan, NY · On-site

$186K - $256K/yr

... Engineering, Computer Science, or a related field, and 2 years of experience performing ... quantitative analysis; data visualization, KPIs, and scorecards; experimental test design ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Position Title & Overview The Data & Analytics team consists of data analysts, data engineers and analytics engineers working to build the most effective platform and tools to help uncover ...

Fortune

Marketing Data and Analytics Engineer

New York, NY · On-site

$94K - $117K/yr

You'll sit at the intersection of data engineering and marketing operations: designing the ... CAN-SPAM, GDPR, and opt-in/opt-out data integrity across all marketing sends Analytics ...

GainAm

Entry Level Data Scientist job

Hicksville, NY · On-site

$70K/yr

... develop data analysis algorithms Engage developers to share their opinions, knowledge, and ... recommendations to meet the deliverables Contribute to technical solutions and implement software ...

Gartner, Inc.

Manager, Data Analytics

Stamford, CT · On-site

Partner with stakeholders (e.g., IT, Interactions Operations, Content Analytics, Data Engineering, Data Science, and Global Product Management) to understand business needs and capabilities and ...

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Entry Level Data Analytics Engineer information

What are some typical projects an entry level data analytics engineer might work on during their first year?

As an Entry Level Data Analytics Engineer, you can expect to work on projects such as cleaning and organizing raw data, building basic data pipelines, and supporting senior engineers in developing dashboards or reports. You may also assist with troubleshooting data issues and automating repetitive tasks using scripts. These tasks help you gain hands-on experience with common tools and platforms, and provide exposure to teamwork and cross-functional collaboration with data analysts, business stakeholders, and IT teams.

What is an entry level data analytics engineer?

An Entry Level Data Analytics Engineer is a professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with large datasets, utilize tools like SQL, Python, or Excel, and help build data pipelines and dashboards. At the entry level, they focus on supporting senior data engineers and analysts, learning best practices, and developing foundational technical skills. This role is ideal for recent graduates or those new to the field looking to gain experience in data engineering and analytics.

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

To thrive as an Entry Level Data Analytics Engineer, you need foundational knowledge in statistics, data analysis, and programming, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills ensure you can extract meaningful insights from data, support business decisions, and contribute to data-driven organizational goals.
What are the most commonly searched types of Data Analytics Engineer jobs in New York? The most popular types of Data Analytics Engineer jobs in New York are:
What are popular job titles related to Entry Level Data Analytics Engineer jobs in New York? For Entry Level Data Analytics Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analytics Engineer jobs in New York look for? The top searched job categories for Entry Level Data Analytics Engineer jobs in New York are:
Entry Level Data Analytics Engineer jobs near you
Infographic showing various Entry Level Data Analytics Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data & Analytics Engineer

Forus Inc

New York, NY • On-site

$170K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 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.
  • Break the frame. Be resourceful and 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.
  • Raise the bar. Hold a high standard for your execution and elevate the performance of the team around you.
  • Fight for users. Start with users' realities and 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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