[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.ResponsibilitiesUnderstand stakeholder data needs across Ops, Finance, and the GTM org, including Sales, Marketing, BDR, and Customer Success, and translate those needs into clear technical requirementsDefine, build, and manage key data pipelines in dbt that transform raw data into canonical datasetsUse AI tools, LLMs, and agents to accelerate analytics workflows, including data exploration, pipeline development, QA, documentation, dashboard creation, and stakeholder enablementRead, write, debug, and validate SQL, Python, dbt models, and AI-generated code to ensure outputs are accurate, reliable, and production-readyEstablish high data integrity standards, SLAs, and QA processes to ensure timely and accurate data deliveryDevelop reliable dashboards to track core business, GTM, and operational metricsBuild foundational data products, dashboards, automations, and internal tools that enable self-serve analytics across the companyBring 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 differentiationPartner with GTM and Finance leaders to influence roadmap decisions from a data systems and analytics perspectiveBecome an expert in Oscilar’s data models, business metrics, GTM systems, and broader data architectureHelp shape a modern, AI-native analytics engineering function as Oscilar scalesSkills5+ years of experience as an Analytics Engineer, Data Engineer, or in a similar Data Science & Analytics roleExperience partnering with GTM, Finance, and cross-functional leaders to build and report on company-wide metricsStrong SQL and Python skills, with the ability to transform raw data into clean, accurate, and scalable data modelsExperience building multi-step ETL workflows and robust data models using tools like dbtStrong AI fluency, with hands-on experience using tools like Claude, LLMs, and/or AI agents to accelerate technical analytics, data engineering, automation, or reporting workflowsAbility to use AI-generated code and analysis effectively while independently reviewing, debugging, and validating the underlying logicFamiliarity with workflow orchestration tools like Airflow and version control tools like GitHubExperience building reporting and dashboards in visualization tools like Hex, Claude-powered workflows, or similar platformsStrong data integrity mindset, with experience building reliable data pipelines, metric definitions, QA processes, and reporting standardsStrong judgment on build vs. buy decisions, with the technical ability and willingness to build lightweight tools, workflows, and automations yourself when neededExperience in a scaled, high-performing analytics or data environment, with a clear understanding of what best-in-class looks likeFull-stack mindset, with a willingness to solve problems end-to-end even when they fall outside a narrow job descriptionBenefitsCompetitive 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 OverviewThe smartest way to make risk decisions. It was founded in 2021, and is headquartered in Palo Alto, California, USA, with a workforce of 201-500 employees. Its website is https://oscilar.com/.Company H1B SponsorshipOscilar has a track record of offering H1B sponsorships, with 1 in 2026, 9 in 2025, 3 in 2024, 2 in 2023, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.