Analytics Engineer

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls. We're getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock‑in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people. We get real‑time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It's working — Consumer Reports named us the top‑rated mobile carrier two years in a row. And we're building innovative systems that scale. A network agnostic tech stack. Agile, cross‑functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you. Responsibilities Partner with stakeholders to understand data needs and translate business questions into technical requirements for data models, pipelines, dashboards, and self‑service tools Design, build, document, and maintain reliable data pipelines using dbt, Dagster, Redshift, and related tools Transform raw data into trusted, canonical datasets for reporting, analysis, experimentation, and decision‑making Build high‑performance dashboards and analytical tools in Hex, Tableau, or similar platforms Use AI tooling to accelerate pipeline development, SQL/dbt work, and documentation Partner with data scientists, analysts, and engineers to bridge business needs and data infrastructure Requirements 5+ years of experience in analytics engineering, data engineering, or business intelligence, ideally in a fast‑paced, high‑growth environment Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization Hands‑on experience designing and maintaining reliable data pipelines using modern tools such as dbt, Dagster, Redshift, or equivalent Proficiency in a scripting language; Python preferred Demonstrated use of AI in your day‑to‑day workflow — LLM‑assisted coding or prompt‑driven data exploration Experience building dashboards and analytical tools in Hex, Tableau, or comparable BI/reporting platforms Strong understanding of data modeling, metric design, and analytics engineering best practices Strong communication skills, with a bias toward clear documentation, reliable systems, and measurable business impact Benefits & Perks Health care coverage through Aetna (Medical, Dental, Vision) Flexible paid time off Gym reimbursement (up to $100 a month) Commuter reimbursement (MTA, Metro North, etc.) Free cell phone service Your choice of equipment + Bose QC/Apple Airpod Pro headphones 401k Think you're a good fit? Apply to learn more! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr