Analytics Engineer IV

Job not on LinkedIn

🔥 3 hours ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) platform (developed by Ceridian) that provides payroll, HR, workforce management, time & attendance, benefits administration, and talent management in a unified SaaS application for employers. It’s designed as an enterprise-focused, B2B solution for managing employee lifecycle and payroll compliance.

📋 Description

• Design, build, and maintain dbt models (staging, intermediate, production layers) • Enforce data quality through dbt tests, source freshness checks, and documentation • Write complex SQL transformations on large datasets; optimize for cost and performance • Translate business questions into well-scoped analytical requirements; define metrics in collaboration with Capital leadership • Build and own the Omni BI semantic layer • Deliver clear, compelling data narratives to non-technical stakeholders • Develop models and dashboards that identify high-propensity dealer and borrower segments to support outbound sales strategy • Build funnel visibility from application through funding; surface bottlenecks and conversion opportunities • Provide analytical support for account management workflows, dealer servicing SLAs, and audit/compliance reporting • Own analytical initiatives end-to-end; execute without requiring close supervision • Proactively surface opportunities and deliver data-driven recommendations

🎯 Requirements

• BA/BS in Statistics, Mathematics, Computer Science, Operations Research, or related • 5+ years of professional experience in analytics engineering, data engineering, or BI • Hands-on production experience with dbt (model design, testing, documentation, incremental strategies) • Proficiency building semantic layers; Omni or Looker BI experience preferred, but similar experience considered • Expert-level SQL; comfortable with window functions, complex joins, and query optimization in BigQuery or a comparable cloud warehouse • Experience delivering major analytical initiatives independently, from scoping through stakeholder presentation • Background in financial services, fintech, or lending is a meaningful plus - familiarity with origination, account management, or B2B lending workflows accelerates ramp • Experience with Git-based version control workflows • Communicates analytical findings clearly to non-technical audiences • Comfortable navigating ambiguity • Collaborative, low-ego, and invested in the team's collective output • Strong instinct for knowing when to answer quickly vs. when to build properly • Nice-to-Haves: Experience with Google Cloud Platform • Familiarity with AI-assisted analytics or developer workflows • Exposure to credit risk, payment systems, or audit/compliance reporting contexts