Sr. Analytics Engineer

• →Build and own production-grade, domain-oriented data products in Microsoft Fabric (Lakehouse/Delta) with documented logic, monitoring, and clear SLAs/ownership.
• →Develop governed semantic models and a scalable KPI/metric system that enables consistent, trusted self-serve decision intelligence across Finance, HR, Demand, and Site Operations.
• →Implement CI/CD, automated testing, and performance optimization for pipelines, models, and DAX/SQL to ensure reliability and speed at scale.
• →Deliver decision-ready insights (“so what / now what”) through dashboards, alerts, and embedded workflows that accelerate decision velocity and improve operational outcomes.
• →Support design and development of agentic AI solutions that automate multi-step decision workflows with governed data, guardrails, auditability, human-in-the-loop controls, and evaluation metrics.
• →Lead AI and decision intelligence enablement: training, playbooks, office hours, and adoption programs; continuously measure engagement, value realization, and iterate based on feedback.
• →Serve as a DI force multiplier by coaching teammates on analytics engineering, semantic modeling, and AI delivery best practices; create reusable templates and standards (“build once, use often”)
• →Partner cross-functionally to align on priorities, definitions, and tradeoffs; operate with strong ownership, speed, and accountability

• 6+ years delivering analytics engineering or equivalent experience building production-grade data products (pipelines + semantic models + governed metrics).
• Bachelors in a technical field, masters preferred.
• Experience delivering AI-enabled analytics solutions (agents/copilots/workflow automation) with evaluation/monitoring and safe deployment patterns (human-in-the-loop, auditability).
• Demonstrated experience with CI/CD and DevOps for analytics (Git, Azure DevOps pipelines, automated testing, release processes).
• Expert SQL (T‑SQL + SparkSQL) and strong semantic modeling skills (Power BI / Tabular), including performance tuning, star schema, and metric governance.
• (Preferred) Python for orchestration, automation, testing, or ML/AI evaluation harnesses.
• Proven ability to build stakeholder trust and drive adoption through clear communication, documentation, and enablement (not just delivery).
• Ability to build training + enablement programs and measure adoption/value.
• Experience with manufacturing/operations analytics (OEE, downtime classification, yield, throughput, scrap, quality, maintenance), or adjacent industries.
• Demonstrated ability to use modern development accelerators (e.g., coding assistants/agents) responsibly to increase throughput while maintaining quality and governance.
  
  

At fairlife, we believe in better — and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work.

• Comprehensive medical, dental, and vision coverage, effective day one!
• Supplemental health plans (hospital indemnity, accident, and critical illness insurance)
• Paid Time Off to recharge and support work-life balance
• Paid parental leave & adoption assistance (up to $10,000)
• Parental support & family care benefits, including childcare resources and lactation support
• 401(k) to support retirement planning with up to 9% in employer match
• Wellness reimbursement (up to $500 for qualified wellbeing expenses)
• Employee Assistance Program (EAP) for emotional wellbeing and work-life support
• Company-paid life insurance and short-term disability
• Employer HSA funding (for HDHP participants)
• Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
• Learning & development programs to unlock your full potential
• Rewards & recognition, matching gifts, free product, and Business Resource Groups

fairlife’s nour!sh program is designed to meet you where you are — supporting your individual wellbeing journey while enabling you to do your best work every day.