Sr. Analytics Engineer

Job Purpose 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. The role owns production‑grade data products (domain models, governed metrics, semantic layers, and self‑serve insights) and helps the organization adopt AI‑enabled decision workflows through guardrails, training, enablement, and measurable adoption. 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. Qualifications 6+ years delivering analytics engineering or equivalent experience building production‑grade data products (pipelines + semantic models + governed metrics). Bachelor’s degree in a technical field; master’s preferred. Experience delivering AI‑enabled analytics solutions (agents/copilots/workflow automation) with evaluation/monitoring and safe deployment patterns (human‑in‑the‑loop, auditability). Proven expertise 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. 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. 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. Salary

$95,000 – $105,000 USD

Employment Type Exempt Equal Employment Opportunity fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job‑related factors. In addition to its nondiscrimination commitment, fairlife will provide reasonable accommodation of qualified individuals with known disabilities unless doing so would impose an undue hardship. If you have a disability and would like to request accommodation in order to apply for a position with us, please email View email address on click.appcast.io. #J-18808-Ljbffr Coca-cola Company