About the role

Role Overview

As an Analytics Engineer on Oscilar’s GTM Ops & Strategy team, you’ll help build the data foundation for scalable analytics across the organization. You will partner with stakeholders across Ops, Finance, and the GTM org (Sales, Marketing, BDR, Customer Success) to turn raw data into trusted metrics, reporting, and insights.

Responsibilities

Gather and translate stakeholder analytics needs into technical requirements across Ops, Finance, and GTM.
Define, build, and manage key data pipelines in dbt that produce canonical datasets.
Use AI tools, LLMs, and agents to accelerate analytics workflows, including:
- data exploration
- pipeline development
- QA
- documentation
- dashboard creation
- stakeholder enablement
Write, debug, and validate SQL, Python, dbt models, and AI-generated code to ensure production-ready outputs.
Set and uphold data integrity standards, SLAs, and QA processes for reliable and timely data delivery.
Build dashboards for core business, GTM, and operational metrics.
Develop foundational data products, automations, and internal tools to enable self-serve analytics.
Provide strong opinions on build vs. buy decisions across the GTM data stack.
Partner with GTM and Finance leaders to influence the data/analytics roadmap.
Become an expert in Oscilar’s data models, business metrics, GTM systems, and data architecture.
Help shape a modern, AI-native analytics engineering function as the company scales.

Requirements

5+ years experience as an Analytics Engineer, Data Engineer, or similar Data Science & Analytics role.
Experience partnering with GTM and Finance stakeholders to build and report company-wide metrics.
Strong SQL and Python skills for clean, accurate, scalable data modeling.
Experience building multi-step ETL workflows and robust models using dbt.
Strong AI fluency with hands-on experience using Claude, LLMs, and/or AI agents to accelerate analytics/data engineering/automation/reporting.

Location

United States (no specific city/timezone constraint stated).

About Oscilar

Oscilar builds an AI Risk Decisioning™ platform used by banks, fintechs, and digital-native organizations to manage fraud, credit, and compliance risk. The company focuses on turning AI-driven risk signals into reliable decisions and scalable analytics for customers across financial services.