Senior Analytics Engineer — AI-Driven Data Platform

Luxury Presence; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Luxury Presence is seeking a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across GTM, Product, Finance, People, and Operations teams.

You will sit at the intersection of data engineering and analytics, transforming raw product, marketing, financial, and operational data into clean, well-modeled datasets powering dashboards, cohort analyses, experimentation, billing operations, and AI-powered tools.

Qualifications

• 5+ years of experience as an analytics engineer, data engineer, or a similar role in a SaaS environment.
• Deep expertise in SQL, dbt, and modern data modeling best practices.
• Proficiency in Python for pipeline development, API integrations, and automation.
• Experience modeling Salesforce data — opportunities, contracts, subscriptions, cases, and field history.
• Proven experience building custom ELT pipelines that ingest data from third-party APIs into a cloud data warehouse.

Responsibilities

• Own and evolve the data foundation (dbt project) with performant, well-tested models.
• Design and maintain the Snowflake data warehouse and ingestion processes.
• Create core entities and datasets using modern data modeling techniques.
• Build Python/Airflow pipelines to ingest data from third-party APIs into Snowflake.
• Design cross-system reconciliation models to surface discrepancies and protect revenue.
• Implement testing and observability for analytics pipelines.
• Enforce CI/CD practices with automation, linting, tests, and reviews.
• Standardize metric definitions and ensure consistent computation across tools.
• Investigate data incidents end-to-end from root cause through remediation.

Skills

SQL

dbt

Python

Salesforce data model

ETL/ELT pipelines

API integrations

CI/CD & testing

Cross-functional collaboration

Tools

Snowflake

Airflow

dbt

Python

Salesforce

Job description

Luxury Presence is seeking a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across GTM, Product, Finance, People, and Operations teams.

You will sit at the intersection of data engineering and analytics, transforming raw product, marketing, financial, and operational data into clean, well-modeled datasets powering dashboards, cohort analyses, experimentation, billing operations, and AI-powered tools.