Analytics Engineer

A venture-backed company building a software platform for connectivity, ranked 94th on Inc 5000's fastest-growing private companies in America.
$120,000 - $200,000
Data
Senior Software Engineer
In-Person
4+ years of experience
Enterprise SaaS · Telecommunications

Description For Analytics Engineer

US Mobile is revolutionizing connectivity through their innovative software platform for the 5G and IoT age. As one of Forbes' top 500 best startup employers in the US, they're building a future where managing connectivity for all devices - from phones to IoT - happens through a single app. The Analytics Engineer role is crucial in transforming raw data into actionable insights, working at the intersection of data analysis and engineering. You'll be joining a diverse team from 20+ countries in a venture-backed company experiencing hypergrowth (ranked 94th on Inc 5000's fastest-growing companies).

The role demands expertise in data architecture, ETL processes, and business intelligence tools. You'll be responsible for designing data pipelines, creating impactful visualizations, and enabling data-driven decision-making across the organization. The position offers competitive compensation ($120k-200k), along with attractive benefits including gym reimbursement, free cellular service, and flexible working hours.

This is an excellent opportunity for an experienced data professional who wants to make a significant impact in a fast-growing company. You'll work with cutting-edge technology while helping shape the future of connectivity. The role combines technical expertise with business acumen, requiring both strong analytical skills and the ability to communicate insights effectively to stakeholders.

Last updated 3 months ago

Responsibilities For Analytics Engineer

  • Work closely with engineering teams to design and develop data structures for analysis
  • Develop data modeling, version control, documentation, and testing
  • Build visually compelling reporting and dashboards using Tableau
  • Create and optimize data models and schemas for self-serve analytics
  • Collaborate with business stakeholders to influence data-driven decision-making

Requirements For Analytics Engineer

Python
  • 4+ years of professional experience in data science, analytics, and/or data engineering
  • Strong understanding of data architecture and scalable pipelines
  • Strong understanding of data engineering principles, including ETL / ELT processes
  • Experience with data orchestration tools and data modeling frameworks
  • Proficiency in Python or similar scripting language
  • Strong expertise in SQL and database design
  • Experience with business intelligence tools like Tableau and Looker
  • Experience in fast-paced startup environment

Benefits For Analytics Engineer

  • Competitive salary ($120k-200k NYC based)
  • Gym reimbursement
  • Choice of tech & noise-canceling headphones
  • Free cellular service on the best network in US
  • Free lunch in NYC office & fully stocked kitchen
  • Metrocard reimbursement
  • Flexible working hours

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