# Analytics Engineer

**Company:** [Oscilar](https://hotfix.jobs/companies/oscilar)
**Location:** Remote
**Role:** Data Analytics
**Experience:** 5+ years
**Skills:** SQL, Python, dbt, Airflow, GitHub, Hex, ETL, Data Modeling, Dashboarding, Ai/Llm Tools
**Posted:** 2026-05-26

> Build and manage dbt data pipelines and dashboards for GTM, Finance, and Ops stakeholders. Partner with cross-functional leaders to deliver trusted, scalable analytics using SQL, Python, and AI tools.

## Job Description

## Key Responsibilities
- Understand stakeholder data needs across Ops, Finance, and the GTM org (Sales, Marketing, BDR, Customer Success) and translate them into technical requirements
- Define, build, and manage key data pipelines in dbt that transform raw data into canonical datasets
- Use AI tools, LLMs, and agents to accelerate analytics workflows including data exploration, pipeline development, QA, documentation, dashboard creation, and stakeholder enablement
- Read, write, debug, and validate SQL, Python, dbt models, and AI-generated code to ensure outputs are accurate, reliable, and production-ready
- Establish high data integrity standards, SLAs, and QA processes for timely and accurate data delivery
- Develop reliable dashboards to track core business, GTM, and operational metrics
- Build foundational data products, dashboards, automations, and internal tools that enable self-serve analytics
- Bring a strong point of view on build vs. buy decisions across the GTM data stack
- Partner with GTM and Finance leaders to influence roadmap decisions from a data systems and analytics perspective
- Become an expert in Oscilar's data models, business metrics, GTM systems, and broader data architecture
- Help shape a modern, AI-native analytics engineering function

## Required Qualifications
- 5+ years of experience as an Analytics Engineer, Data Engineer, or in a similar Data Science & Analytics role
- Experience partnering with GTM, Finance, and cross-functional leaders to build and report on company-wide metrics
- Strong SQL and Python skills, with the ability to transform raw data into clean, accurate, and scalable data models
- Experience building multi-step ETL workflows and robust data models using tools like dbt
- Strong AI fluency, with hands-on experience using tools like Claude, LLMs, and/or AI agents to accelerate technical analytics, data engineering, automation, or reporting workflows
- Ability to use AI-generated code and analysis effectively while independently reviewing, debugging, and validating the underlying logic
- Familiarity with workflow orchestration tools like Airflow and version control tools like GitHub
- Experience building reporting and dashboards in visualization tools like Hex, Claude-powered workflows, or similar platforms
- Strong data integrity mindset, with experience building reliable data pipelines, metric definitions, QA processes, and reporting standards
- Strong judgment on build vs. buy decisions, with the technical ability and willingness to build lightweight tools, workflows, and automations yourself when needed
- Experience in a scaled, high-performing analytics or data environment
- Full-stack mindset, with a willingness to solve problems end-to-end

## Nice-to-Haves / Benefits
- Competitive salary and equity packages, including a 401k plan
- Remote-first culture
- 100% employer-covered comprehensive health, dental, and vision insurance
- Unlimited PTO policy
- Family-friendly environment; regular team events and offsites
- Unparalleled learning and professional development opportunities

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**Canonical:** https://hotfix.jobs/jobs/a865b7a0-cc5a-4fcc-abc4-069beb97248c