Principal Analytics Engineer

DataJobs; New York (NY); On-site; USD 220,000 - 260,000; Full time

Benefits offered by this job

Healthcare

Paid time off

Commuter benefits

401k matching

Summer Fridays

Catered lunches

Well-stocked kitchen

Team events

Job summary

AMP, based in New York, is assembling a founding analytics team to create an analytics data foundation trustworthy to product and business teams. The principal role will define canonical metrics, build a data layer, and scale self-service analytics supporting experimentation, diagnostics, and reproducible workflows.

This onsite position is in New York, NY with a salary range of USD 220,000 - 260,000 per year.

Qualifications

• Exceptional SQL and dimensional or data modeling skills.
• Experience building production analytical datasets across database systems such as Databricks, Snowflake, AWS, or equivalent modern data platforms.
• Hands-on experience with BI or self-service analytics tools including Sigma and Tableau, plus data app solutions like R Shiny, Streamlit, and ChatGPT Sites.
• Strong, opinionated views on analytics engineering working models, focused on durable measurement with immediacy and reproducibility, and choosing the right tools for the project (dashboards, data apps, or reusable Python notebooks).
• Ability to translate ambiguous business questions into durable analytical data models.
• A tendency to write clear narratives that explain both solution architecture and the insights the designs uncover.

Responsibilities

• Build the Analytics Data Layer: create analytics-ready datasets and reusable models for core marketplace concepts, partnering with Data Engineering to convert raw data into tested, production-quality analytical entities.
• Establish trusted metrics: define and encode canonical metrics with Product, Finance, Measurement, and other stakeholders, and maintain governance.
• Enable product analytics: build datasets for funnels, cohorts, product adoption, diagnostics, experimentation, and causal analysis; support teams in understanding changes.

Skills

SQL

Dimensional modeling

Data analytics engineering

Databricks

Snowflake

AWS

Tableau

Sigma

Python

R Shiny

Streamlit

ChatGPT Sites

Tools

Databricks

Snowflake

AWS

R Shiny

Streamlit

ChatGPT Sites

Tableau

Job description

adMarketplace is assembling a founding analytics team to create an analytics data foundation that product and business teams can trust. In this principal role, you will help define canonical metrics, build an analytics data layer, and scale self-service analytics that supports experimentation, diagnostics, and reproducible workflows.

This onsite position is based in New York, NY with an estimated salary range of USD 220,000 - 260,000 per year.

What you’ll do

• Build the Analytics Data Layer: create analytics-ready datasets and reusable models for core marketplace concepts, partnering with Data Engineering to convert raw data into tested, production-quality analytical entities.
• Establish trusted metrics: define and encode canonical metrics with Product, Finance, Measurement, and other business stakeholders, and maintain consistent definitions, documentation, and governance.
• Enable product analytics: build datasets for funnels, cohorts, product adoption, marketplace diagnostics, experimentation, and causal analysis, and support teams in understanding what changed, where, and why.
• Scale self-service analytics: deliver curated datasets and semantic layers for BI tools including Sigma and Tableau, while evaluating data app solutions such as R Shiny, Streamlit, and ChatGPT Sites to support automated, accessible analytics.
• Own automation and reproducibility: automate recurring workflows and apply AI to data discovery, SQL generation, and documentation where useful.

What you bring

• Exceptional SQL and dimensional or data modeling skills.
• Experience building production analytical datasets across database systems such as Databricks, Snowflake, AWS, or equivalent modern data platforms.
• Hands‑on experience with BI or self‑service analytics tools including Sigma and Tableau, plus data app solutions like R Shiny, Streamlit, and ChatGPT Sites.
• Strong, opinionated views on analytics engineering working models, focused on durable measurement with immediacy and reproducibility, and choosing the right tools for the project (dashboards, data apps, or reusable Python notebooks).
• Ability to translate ambiguous business questions into durable analytical data models.
• A tendency to write clear narratives that explain both solution architecture and the insights the designs uncover.

Tools you’ll use

• SQL, Databricks, Snowflake, AWS
• Sigma, Tableau
• R Shiny, Streamlit, ChatGPT Sites
• Python

Benefits

• Comprehensive healthcare and wellness programs
• Paid time off
• Commuter benefits
• 401k matching
• Summer Fridays
• Catered lunches and a fully stocked kitchen
• ZogSports teams
• Happy hours and corporate retreats to support work‑life balance
• Robust continuing education program
• Management training
• Regular company‑wide lunch and learns
• Well‑defined career paths

Nice to have

• Experience with advertising technology, marketplaces, search, recommendation systems, or high‑volume event data.
• Experience supporting experimentation platforms or product analytics.
• Experience building and deploying data apps with R Shiny, Streamlit, or ChatGPT Sites.

Hiring notes: AMP has been named one of the best places to work in New York City by Built In and Crain’s. AMP is currently experiencing triple digit growth. No third party recruiters: AMP does not accept unsolicited agency resumes and is not responsible for any fees related to unsolicited resumes.