Senior Analytics Engineer (Finance & Operations)
Skylight
United States Posted September 18, 2026
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Salary Range
$150,000 - $170,000
Job Description
Join Skylight, a technology startup focused on improving family life through innovative products and services. As a Senior Analytics Engineer, you will play a crucial role in shaping the Finance and Operations data layer, integrating data from various systems, and developing dashboards and metrics to support decision-making. You will collaborate closely with the Finance and Operations teams, ensuring data quality and governance, and identifying opportunities for continuous improvement. This is a remote position with a range of benefits, including health insurance, a learning stipend, and a collaborative company culture.
- Collaborer avec les équipes Finance et Opérations pour comprendre les processus métier et définir les exigences des pipelines de données.
- Posséder la couche de données Finance et Opérations, construire des modèles de données fiables et réutilisables qui soutiennent les rapports et l'analyse.
- Créer et maintenir des tableaux de bord, des résumés exécutifs aux analyses granulaires, pour communiquer les indicateurs de performance.
- Adaptability: Comfort working in an early-stage or evolving data environment where systems, pipelines, definitions, and ownership boundaries may still be forming
- Experience: 5+ years in an analytics role with exposure to financial or operational data sets
- Business Acumen: Ability to understand business processes and translate them into data models, metrics, dashboards, and documentation
- Data Quality Mindset: Experience validating outputs, reconciling discrepancies, documenting assumptions, and creating checks for critical metrics
- Communication: Strong stakeholder management skills, including gathering requirements, managing expectations, pushing back constructively, and communicating tradeoffs
- Technical Skills: 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 with source-of-truth systems such as ERP (NetSuite), WMS, TMS (OSCA), or CPM (Pigment)
- Experience with wholesalers and EDI
Required Skills
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