Senior Analytics Engineer

Norm Ai

. Own analytics data products across internal business functions .

Posted 10/5/2026full-timeNew York City • New York • United StatesSenior💰 $175,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering with a strong focus on SQL, dbt, and dimensional modeling. Capable of delivering production data products while ensuring data quality and access controls.

Highest-signal resume keywords

Analytics EngineeringSQLDbt Project ContributionDimensional ModelingAI Coding Agents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDbtDimensional ModelingData ValidationData MappingTechnical WritingPythonMetrics Layer DevelopmentAccess ControlsData Quality Checks

Soft Skills

CollaborationStakeholder EngagementClear Communication

Tools & Technologies

LightdashAI Coding Agents

Industry Keywords

Analytics Data ProductsProduction ProcessData EngineeringGTMFinance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own analytics data products across internal business functions
Design and maintain reusable intermediate models, business-facing gold models, metrics, access controls, tests, documentation, and Lightdash agent guidance
Turn ideas into production data products by defining requirements with stakeholders, validating results, and publishing them
Reconcile concepts that differ across source systems and publish mappings, unmatched records, assumptions, and quality checks
Deliver changes through the full production process, including SQL, dbt tests, Lightdash metadata, access rules, content validation, and AI agent instructions
Diagnose incorrect or stale results across data layers and partner with data engineering when issues sit below the serving layer
Review modeling changes, pair with teammates, and help maintain shared standards
Work closely with the Director of Data, data team, GTM, and Finance

Requirements

What you’ll need

5+ years of analytics engineering or equivalent experience
Contribution to a production dbt project with tests, CI, incremental models, and documentation
Strong dimensional modeling judgment, including designing conformed entities and facts at the correct grain
Experience delivering a metrics or semantic layer used by people and tools
Safe access controls for sensitive data
Familiarity with and regular use of AI coding agents; ability to verify their output and judge when not to use them
Strong SQL skills
Enough Python experience to understand existing pipelines and build transformation tasks
Clear technical writing and ability to document models and metric definitions
Practical, hands-on AI usage and ability to discuss tools, workflows, and outcomes
Legally authorized to work in the United States on a full-time basis
Located in New York City

Benefits

Comp & perks

Equity included
401(k) with employer match
Health, dental, and vision coverage
Unlimited paid time off
Free lunch in office daily
Employee referral bonus program
Financial support for relocation to New York City