[Remote] Analytics Engineer
Note: The job is a remote job and is open to candidates in USA. Oscilar is building an advanced AI Risk Decisioning™ Platform that helps banks and fintechs manage fraud, credit, and compliance risk. As an Analytics Engineer, you will play a crucial role in developing the data foundation for scalable analytics, collaborating with various teams to ensure access to accurate data and insights.
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
Skills
- 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, with a clear understanding of what best-in-class looks like
- Full-stack mindset, with a willingness to solve problems end-to-end even when they fall outside a narrow job description
Benefits
- Competitive salary and equity packages, including a 401k plan.
- Remote-first culture.
- 100% employer-covered comprehensive health, dental, and vision insurance with a top-tier plan for you and your dependents. (US)
- Unlimited PTO policy.
- Family-friendly environment; regular team events and offsites.
- Unparalleled learning and professional development opportunities.
- Making the internet safer by protecting online transactions.
Company Overview
Company H1B Sponsorship