Sr. Analytics Engineer

fairlife•Chicago, IL

8d•Onsite

About The Position

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers. With over $3B in annual retail sales, fairlife’s portfolio of delicious, lactose-free, real dairy products includes: fairlife® ultra-filtered milk; Core Power® High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlife® nutrition plan™, a nutrition shake to support the journey to better health. A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation. To learn more about fairlife and its complete line of products, please visit fairlife.com. job purpose: The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife’s ambition to create a best‑in‑class Decision Intelligence (DI) ecosystem. This role will own the development of production‑grade data products (domain models, governed metrics, semantic layers, and self‑serve insights) while also helping the organization adopt and scale AI-enabled decision workflows (agents/copilots) through guardrails, training, enablement, and measurable adoption. This role is accountable not only for delivering decision intelligence, but also for increasing decision velocity and trust across Finance, HR, Demand, and Site Operations by building durable assets and by coaching others in modern analytics engineering and AI practices.

Requirements

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.
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.

Nice To Haves

(Preferred) Python for orchestration, automation, testing, or ML/AI evaluation harnesses.

Responsibilities

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

Benefits

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