Analytics Engineer

🕒 September 18, 2025

🏢🏡 New York City – Hybrid

💵 $120k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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US Mobile

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

📡 Telecommunications

Telecommunications

US Mobile is a telecommunications provider that offers flexible and affordable mobile phone plans. Known as a 'Super Carrier,' they feature innovative technology allowing users to switch seamlessly between multiple networks starting from $17. 50 per month. US Mobile provides diverse plans including Unlimited Data, BYOD (Bring Your Own Device), and Apple Watch plans, complemented by unique perks such as international roaming in over 180 countries, and credits to popular streaming services. They emphasize customer service excellence with a user-friendly app for managing phone plans and 24/7 customer support. US Mobile's 5G Ultra Wideband network provides high-speed connectivity, likened to redefining modern telecom solutions. They aim to deliver custom-tailored services, ideal for individuals, families, and businesses seeking cost-effective and premium mobile connectivity.

📋 Description

• Design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. • Work closely with engineering teams to design and develop data structures that enable deeper analysis. • Demonstrate expertise in the analytics engineering development cycle, including data modeling, version control, documentation, testing, and ensuring codebase best practices. • Create and optimize data models and schemas to support self-serve analytics and ensure data integrity. • Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets. • Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights.

🎯 Requirements

• 4+ years of professional experience in analytics engineering, data engineering, or data science. • Strong understanding of data architecture, including building scalable pipelines and optimizing storage solutions for analytical workflows (e.g., S3, Redshift, Snowflake, BigQuery). • Strong understanding of data engineering principles, including ETL / ELT processes. • Hands-on experience with data orchestration tools (e.g., Airflow) and data modeling frameworks (e.g., dbt). • Proficiency in Python or a similar scripting language for data processing and analysis. • Strong expertise in SQL, including experience with data modeling and adherence to database design best practices. • Proven ability to create impactful reports and dashboards using business intelligence tools such as Tableau and Looker. • Experience working in a fast-paced, constantly improving startup environment.

🏖️ Benefits

• Competitive salary — $120k–180k (NYC based, in office Mon-Wed) • Gym reimbursement • Your choice of tech & noise-canceling headphones • Free cellular service on the best network in the US • Free lunch in NYC office & fully stocked kitchen • Metrocard reimbursement • Flexible working hours