Analytics Engineer

🕒 May 26

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 41%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oscilar

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Oscilar is a risk management platform that focuses on fraud defense, credit underwriting, onboarding risk, and AML compliance for financial institutions. Through its advanced AI Risk Decisioning™, Oscilar enables organizations to make faster and more intelligent risk decisions, monitor customer journeys, and ensure regulatory compliance seamlessly. Oscilar's platform provides comprehensive analytics and proactive detection capabilities, tailored to meet the unique risk needs of banks, fintechs, and credit unions.

📋 Description

• 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.

🎯 Requirements

• 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

• 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.