Sr. Analytics Engineer

Nature's Sunshine Products • Lehi, UT

2d

About The Position

We're building an enterprise data platform on Microsoft Fabric to standardize how data is modeled, defined, and used across the organization. This role is central to fixing inconsistencies in key metric definitions, business logic spread across multiple places, and varying trust in data by domain. As a Senior Analytics Engineer, you will design scalable data models, define canonical datasets, and own the semantic layer for a primary business domain. Your work will become the default source of truth for business logic and metrics, shaping how the organization measures performance and makes decisions. This role sits at the intersection of data modeling, semantics, and platform design, operating in ambiguity and driving durable, aligned solutions across teams.

Requirements

• 6+ years in analytics engineering, BI engineering, or data modeling roles with end‑to‑end ownership of production data models
• Deep expertise in dimensional modeling (facts, dimensions, grain definition, conformed dimensions, SCDs)
• Hands‑on ownership of a semantic layer (Power BI or equivalent), including reusable measures, relationships, and performance optimization
• Advanced SQL skills with experience building complex, performant transformations at scale
• Experience working across a modern analytics platform (storage, transformation, and semantic layers); Microsoft Fabric strongly preferred, with demonstrated ability to ramp quickly from an equivalent platform (Snowflake, Databricks, BigQuery)
• Proven ability to operate in ambiguous environments, resolve conflicting business definitions, and drive adoption of shared metrics
• Strong judgment in balancing tradeoffs across performance, usability, maintainability, cost, and governance

Nice To Haves

• Hands‑on Microsoft Fabric experience
• Experience treating analytics assets as products (certification, adoption, documentation, change control)

Responsibilities

• Design scalable, reusable dimensional data models within your domain
• Define, standardize, and govern KPIs and business logic in a centralized semantic layer (Power BI / Fabric)
• Build canonical datasets and drive their adoption as the default source for reporting and analysis
• Own modeling decisions across structure, performance, cost, and maintainability
• Design cohesive solutions across Microsoft Fabric components (Lakehouse, Warehouse, Semantic Models)
• Lead alignment on definitions across stakeholders and ensure consistent implementation
• Identify and reduce sources of inconsistency, duplication, and low data trust, including pushing improvements upstream where feasible
• Establish lightweight governance guardrails (naming, conformed dimensions, measures, documentation) that enable consistent development
• Collaborate with the broader data team to evolve shared standards and platform patterns
• Apply AI tools thoughtfully to improve development speed and model quality, with awareness of limitations and risks

Benefits

• Social and environmental wellness initiatives
• Commitment to sustainable processes, renewable energy usage and waste reduction initiatives
• Diversity, equity, inclusion and belonging initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 251-500 employees