Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Comprehend the data requirements of stakeholders across Operations, Finance, and the GTM organization, which includes Sales, Marketing, BDR, and Customer Success, then convert those needs into precise technical specifications.

• Design, construct, and oversee essential data pipelines in dbt that convert raw data into standardized datasets.

• Leverage AI tools, LLMs, and agents to expedite analytics processes, including data exploration, pipeline creation, quality assurance, documentation, dashboard development, and stakeholder support.

• Read, write, troubleshoot, and validate SQL, Python, dbt models, and AI-generated code to guarantee that outputs are accurate, reliable, and ready for production.

• Set high standards for data integrity, service level agreements (SLAs), and quality assurance processes to ensure timely and precise data delivery.

• Create dependable dashboards to monitor key business, GTM, and operational metrics.

• Develop foundational data products, dashboards, automations, and internal tools that facilitate self-service analytics throughout the organization.

• Offer a strong perspective on build versus buy decisions within the GTM data infrastructure, identifying when Oscilar should utilize commercial tools versus when to build internally for speed, leverage, or differentiation.

• Collaborate with GTM and Finance leadership to shape roadmap decisions from the viewpoint of data systems and analytics.

• Become proficient in Oscilar’s data models, business metrics, GTM systems, and overall data architecture.

• Contribute to the establishment of a modern, AI-driven analytics engineering function as Oscilar expands.

⛳️ Requirements

• A minimum of 5 years of experience as an Analytics Engineer, Data Engineer, or in a comparable Data Science & Analytics position.

• Proven experience collaborating with GTM, Finance, and cross-functional leaders to develop and report on company-wide metrics.

• Proficient in SQL and Python, capable of transforming raw data into clean, accurate, and scalable data models.

• Experience in constructing multi-step ETL workflows and robust data models utilizing tools such as dbt.

• Strong familiarity with AI technologies, possessing hands-on experience with tools like Claude, LLMs, and/or AI agents to enhance technical analytics, data engineering, automation, or reporting workflows.

• Ability to effectively utilize AI-generated code and analyses while independently reviewing, debugging, and validating the underlying logic.

• Knowledge of workflow orchestration tools such as Airflow and version control systems like GitHub.

• Experience in developing reports and dashboards using visualization tools like Hex, Claude-powered workflows, or similar platforms.

• A strong commitment to data integrity, with experience in building reliable data pipelines, defining metrics, implementing QA processes, and establishing reporting standards.

• Sound judgment regarding build versus buy decisions, along with the technical capability and willingness to create lightweight tools, workflows, and automations as necessary.

• Experience in a scaled, high-performing analytics or data environment, with a clear understanding of best-in-class practices.

• A full-stack mindset, willing to tackle end-to-end problem-solving even when it extends beyond a specific job description.

🏝️ Benefits

• Compensation: Competitive salary and equity packages, including a 401k plan.

• Flexibility: Remote-first culture.

• Health: 100% employer-covered comprehensive health, dental, and vision insurance with a top-tier plan for you and your dependents. (US)

• Balance: Unlimited PTO policy.

• Culture: Family-friendly environment; regular team events and offsites.

• Development: Unparalleled learning and professional development opportunities.

• Impact: Making the internet safer by protecting online transactions.