Principal Analytics Engineer: Data Layer & Metrics

DataJobs

New York (NY)

On-site

USD 220,000 - 260,000

Full time

9 days ago
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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

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.

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