It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

Peter Millar was founded in 2001 with a single cashmere sweater offered in 24 colors. Based in Raleigh and Durham, North Carolina, the American lifestyle brand has grown to include luxury performance sportswear, seasonal resort and country club apparel, sophisticated classics, casually refined tailored clothing and sartorial accessories.

We strive to capture timeless style upgraded with signature innovations, in designs that are in tune with modern life. We embrace working hard, being kind and doing right by our customers, aiming to set a higher standard for the apparel industry.

The Sr. BI & Analytics Engineer plays a critical role in designing and scaling our Microsoft Fabric analytics ecosystem, with a focus on enterprise semantic modeling, governed self-service BI, and AI-enabled analytics experiences. This role sits at the intersection of business context, trusted metrics, and modern analytics tooling—leveraging Microsoft Fabric, Power BI, and Copilot-driven capabilities to accelerate insight generation and improve decision-making across Wholesale, Retail, and E‑commerce.

This position serves as a key internal owner of business logic and semantic models while helping the organization responsibly adopt AI and Generative AI capabilities within analytics workflows

ESSENTIAL FUNCTIONS:

Semantic Modeling & Metrics

• Design and maintain enterprise Power BI / Fabric semantic models, embedding consistent business logic across domains.
• Own KPI definitions, calculations, and metric governance, ensuring a single source of truth.
• Optimize star schemas and composite models for performance, reusability, consumer-friendly analytics and AI-powered summarization and insight generation.

Data Visualization & Self-Service Analytics

• Build executive- and operator-level Power BI dashboards that balance usability, performance, and governance.
• Enable self-service analytics through certified datasets, shared metrics, and best-practice workspace structure.
• Partner with business stakeholders to translate complex questions into actionable insights and visuals.

AI-Enabled Analytics & Copilot Integration

• Partner with analytics leadership to integrate AI and Copilot capabilities into analytics workflows, including ; Natural language exploration of semantic models, metric explanations and narrative summaries and AI-assisted dashboard authoring and interpretation
• Ensure semantic models are AI-ready (clean metadata, measure descriptions, business-aligned naming).
• Collaborate on early use cases for Copilot in Power BI and Fabric that enhance adoption while maintaining governance.
• Help define guardrails for responsible use of Gen AI in analytics, including explainability and metric trust.

ETL & Data Product Development

• Contribute to ETL / ELT pipelines within Fabric (Lakehouse, Warehouse, Dataflows Gen2) in collaboration with central engineering.
• Apply medallion architecture principles to ensure reliable, well-modeled analytics-ready data.
• Support data quality checks and model validation tied to business-critical reporting.

Platform Governance & Standards

• Establish and enforce semantic, visualization, and workspace standards (naming, measures, certification).
• Collaborate on Fabric security, workspace segmentation, and dataset endorsement strategy.
• Document patterns and reusable assets to accelerate future data product delivery.

Collaboration & Enablement

• Serve as a bridge between consulting partners and internal teams, accelerating knowledge transfer.
• Mentor junior BI developers and analytics users on modeling, DAX, and best practices.
• Partner with Data Engineering, FP&A, Merchandising, and Marketing on analytics initiatives.

DESIRED EDUCATION AND EXPERIENCE:

• 8–12+ years in Analytics / BI roles, including enterprise semantic modeling ownership.
• Deep hands-on experience with Microsoft Fabric and Power BI (datasets, DAX, governance).
• Strong understanding of dimensional modeling, KPI standardization, and self-service BI.
• Experience supporting executive-level reporting across multiple business functions.
• Ability to operate independently while collaborating in a modern data product model.
• Experience transitioning organizations from consulting-led to internal ownership models.
• Familiarity with Azure-native data tooling (ADF, SQL, Lakehouse concepts)

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! 

Peter Millar & G/FORE are equal opportunity employers. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Both Peter Millar & G/FORE prohibit discrimination and harassment of any type and they afford equal employment opportunities to employees and applicants without regard to race, color, religion, gender, age, national origin, genetic information, marital status, disability status, protected veteran status, sexual orientation, or any other characteristic protected by law. Both Peter Millar & G/FORE comply with applicable state, county and local laws governing non-discrimination in employment.