Analytics Engineer

Responsibilities

• Understand stakeholder data needs across Ops, Finance, and the GTM org, including Sales, Marketing, BDR, and Customer Success, and translate those needs into clear 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 to ensure 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 across the company.
• Bring a strong point of view on build vs. buy decisions across the GTM data stack, identifying where Oscilar should use off-the-shelf tools versus where we should build internally for speed, leverage, or differentiation.
• 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 as Oscilar scales.