Senior Analytics Engineer (Finance & Operations)

Skylight is a technology startup that builds products and services designed to improve family life. The company is seeking a Senior Analytics Engineer to own the Finance and Operations data layer, integrate source-system data into the warehouse, and build trusted metrics, dashboards, and reporting for leadership and business teams.

Responsibilities:

• Stakeholder Collaboration: Partner with Finance, Operations, and the rest of the Data team to understand business processes and source-system workflows, define pipeline requirements, and identify data gaps and downstream reporting impacts
• Data Infrastructure: Own the Finance and Operations data layer and build trusted, reusable data models that support reporting, analysis, and decision-making
• Data Integration: Design and document how data should flow between source systems such as NetSuite, Ramp, and Pigment into Snowflake and Omni
• Data Quality: Create validation checks, reconciliation workflows, and exception reporting to improve trust in critical Finance/Ops data across source systems, Snowflake, and Omni
• Metric Governance: Define and govern key Finance/Operations metrics with business owners, including business logic, data grain, source of truth, ownership, refresh cadence, and known limitations
• Dashboard Development: Create and maintain dashboards, from executive-level summaries to granular self-serve analytics, to communicate performance metrics and support root-cause analysis
• Continuous Improvement: Identify and execute opportunities to automate manual data flows, reporting processes, and reconciliation workflows
• Strategy: Be a strategic partner with our Finance & Ops teams, collaborating with them to build and improve metrics such as LTV/CAC, Cost Per Unit for Last Mile, etc

Requirements:

• 5+ years in an analytics role with exposure to financial or operational data sets
• Strong SQL skills and experience building reusable, well-structured data models in a cloud data warehouse environment, ideally Snowflake; experience with BI or semantic-layer tools such as Omni, Looker, Tableau, Power BI, or Sigma
• Experience validating outputs, reconciling discrepancies, documenting assumptions, and creating checks for critical metrics
• Ability to understand business processes and translate them into data models, metrics, dashboards, and documentation
• Strong stakeholder management skills, including gathering requirements, managing expectations, pushing back constructively, and communicating tradeoffs
• Comfort working in an early-stage or evolving data environment where systems, pipelines, definitions, and ownership boundaries may still be forming
• We hire across the U.S
• Experience with wholesalers and EDI
• Experience with source-of-truth systems such as ERP (NetSuite), WMS, TMS (OSCA), or CPM (Pigment)