Sr. Analytics Engineer

Role Overview

Join Nature's Sunshine in building a modern enterprise data platform on Microsoft Fabric. As a Senior Analytics Engineer, you will lead the design of trusted analytics assets for a primary business domain, including scalable data models, canonical datasets, governed metrics, and semantic layers.

What You Will Do

Build scalable dimensional models, canonical datasets, and semantic layers for reporting, analytics, and decision-making. Define and govern KPIs, metrics, calculations, and reusable business logic with stakeholders.

Why It Might Be a Fit

You will thrive here if you want more than a dashboard-building role. This is a role for someone who enjoys turning messy business logic into trusted data products, influencing how metrics are defined, and building systems that other teams rely on.

Requirements

• 5+ years of experience in analytics engineering, BI engineering, data modeling, or a closely related analytics role
• Advanced SQL skills, including experience building complex, performant transformations
• Strong understanding of dimensional modeling, including facts, dimensions, grain, relationships, and conformed dimensions
• Experience designing production-ready data models, semantic layers, BI models, or trusted datasets used for reporting and analysis
• Proven ability to work through ambiguous business requirements, reconcile conflicting definitions, and translate decisions into scalable data models
• Ability to communicate clearly with both technical and non-technical stakeholders
• Strong judgment in balancing speed, quality, performance, usability, cost, and governance when designing analytics assets for long-term use
• Experience working in a modern analytics platform such as Microsoft Fabric, Snowflake, Databricks, BigQuery, or similar