Sr. Analytics Engineer

About the Role

Nature's Sunshine is building a modern enterprise data platform on Microsoft Fabric. This is an opportunity to join early in that journey and help define the data models, semantic layers, and metric standards that shape how the business makes decisions.

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. Your work will help define how key business logic is calculated, reused, trusted, and understood across the organization.

This is not a traditional reporting role, and it is not primarily a pipeline engineering role. You will own the layer where business logic becomes trusted, reusable data products: dimensional models, semantic layers, governed metrics, and analytics assets that teams across the business rely on.

You will work through ambiguity, align stakeholders on shared definitions, and build data products that other teams can confidently use and build upon. Success in this role will be measured by adoption, consistency, trust, and maintainability - not output volume.

You will also help shape how we use AI in analytics engineering: accelerating development, improving documentation, generating tests, strengthening data quality, and reducing repetitive work while applying the judgment needed to protect trust in the data.

What You'll 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.
• Translate complex or conflicting business logic into clear, maintainable, well-documented data structures.
• Own modeling decisions across grain, relationships, performance, usability, cost, governance, and maintainability.
• Partner with business leaders, analysts, and data team members to turn ambiguous questions into durable analytics solutions.
• Establish practical analytics development standards, including naming conventions, documentation, certification, reusable measures, and change control.
• Improve trust in reporting by consolidating duplicated logic, clarifying ownership, and making shared metrics easier to understand and maintain.
• Experiment with AI-assisted workflows to improve development speed, documentation, testing, data quality, and model design.

What We're Looking For

Required Qualifications

• 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.

Preferred Qualifications

• Hands-on experience with Microsoft Fabric.
• Advanced Power BI experience, including DAX, relationships, calculation groups, performance optimization, or semantic model governance.
• Experience with Python, data quality testing, version control, CI/CD, or other practices that improve analytics engineering reliability and maintainability.
• Experience treating analytics assets as products, including certification, adoption, documentation, change management, and lifecycle ownership.
• Experience leading metric-definition alignment across stakeholders or improving trust in enterprise reporting.

Who Will Thrive in This Role

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.

You should be comfortable working through ambiguity, challenging unclear requirements, and balancing practical delivery with long-term maintainability.

You should also be excited to help define what modern analytics engineering looks like in an AI-enabled environment: using AI to move faster and improve quality while bringing the technical judgment, business context, and accountability needed to maintain trust in the data.

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Nature's Sunshine is dedicated to being a Force of Nature that champions social and environmental wellness. We are focused on building a team of professionals with diverse backgrounds and experiences to become the natural supplement company of the future. By celebrating the individuality and unique perspectives of our workforce, we empower our employees to share the healing power of nature with more people around the world. And through our commitment to sustainable processes, renewable energy usage and waste reduction initiatives, we're devoted to preserving nature and its power for future generations.

We believe we are stronger together, and our ongoing commitment to diversity, equity, inclusion and belonging ensures that every employee is treated with fairness and respect. Because doing what's right-in the right way-is how we succeed as a company and a society.