Analytics Engineer

Amadeus Search; New York, Northern (NY, KY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Fully covered medical, dental, and视觉

Unlimited PTO and 16 weeks paid Par?al

401(k), FSA, commuter benefits

Daily lunch provided at the office

Job summary

Amadeus Search is hiring an Analytics Engineer for an on-site role in New York. You will design and maintain the data foundation, ensure decision-grade data availability, and own data transformations, dashboards, and analytics tooling.

You will build data models, manage pipelines, and standardize metrics while collaborating with product, ops, and leadership. Expect ownership, cross-functional impact, and a fast-paced startup environment.

Qualifications

• Experience as an analytics engineer or data engineer in a high-growth environment.
• Proficiency in SQL and Python, with experience using modern data tools (e.g., dbt, Fivetran, Airflow).
• Familiarity with GCP BigQuery or similar cloud-based data warehouses.

Responsibilities

• Build and maintain core data models to support internal analytics and external reporting.
• Design and manage pipelines that convert raw data into analytics-ready formats.
• Create dashboards and reporting tools used by product, ops, and go-to-market teams.
• Standardize metrics definitions and ensure cross-team consistency.
• Improve and scale the analytics infrastructure using tools like BigQuery, Dataform, and Fivetran.
• Collaborate with cross-functional stakeholders to translate business needs into data systems.
• Contribute to data governance, documentation, and internal analytics best practices.

Skills

SQL

Python

dbt

Fivetran

Airflow

BigQuery

Tools

dbt

Fivetran

Airflow

BigQuery

Job description

Role: Analytics Engineer

Location: On-site, New York, NY

Compensation: $150,000 – $200,000 base + competitive equity

About the Role

A well-funded, mission-driven startup in the healthcare and life sciences space is hiring an Analytics Engineer to design and maintain the company’s data foundation. In this full-time, on-site role, you’ll ensure that high-quality, decision-grade data is available across product, operations, growth, and leadership teams.

You’ll be responsible for modeling and transforming raw data, maintaining the analytics stack, and building dashboards that provide real-time insights into company performance. This is a high-impact, cross-functional position with significant autonomy and ownership.

What Will You Do

• Build and maintain core data models to support both internal analytics and external reporting
• Design and manage pipelines that convert raw data into analytics-ready formats
• Create dashboards and reporting tools used by product, ops, and go-to-market teams
• Standardize metrics definitions and ensure cross-team consistency
• Improve and scale the analytics infrastructure using tools like BigQuery, Dataform, and Fivetran
• Collaborate with cross-functional stakeholders to translate business needs into data systems
• Contribute to data governance, documentation, and internal analytics best practices

What Will You Bring

• Experience as an analytics engineer or data engineer in a high-growth environment
• Proficiency in SQL and Python, with experience using modern data tools (e.g., dbt, Fivetran, Airflow)
• Familiarity with GCP BigQuery or similar cloud-based data warehouses
• Ability to balance clean data modeling with speed and adaptability
• Strong cross-functional communication skills and a collaborative mindset
• Bias toward ownership, execution, and continuous learning
• Comfortable working in-person five days per week in a fast-paced startup environment

Compensation and Perks

• Base salary: $150,000 – $200,000
• Competitive equity package
• Fully covered medical, dental, and vision insurance
• Access to One Medical, Talkspace, Teladoc, and Kindbody
• Unlimited PTO and 16 weeks paid parental leave
• 401(k), FSA, commuter benefits, and DashPass
• Daily lunch provided at the office; dinner after 7 pm
• In-person work in a centrally located NYC office

Why Join Us

This is an opportunity to help shape the data foundation of a startup with a bold mission: making life-changing therapies accessible faster and more affordably. The work you do will directly impact product development, operational efficiency, and patient outcomes.

You’ll join a high-caliber team backed by top-tier investors, working in a dynamic, collaborative environment where ownership and speed are valued. If you’re looking to accelerate your career while making meaningful impact, this role offers both.