Analytics Engineer

Posted Yesterday
Be an Early Applicant
New York City, NY, USA
Hybrid
120K-160K Annually
Mid level
Internet of Things • Mobile • Other • Software
We’re on a mission to revolutionize connectivity. We're building the next-generation connectivity platform.
The Role
Designs and develops scalable data pipelines, models, schemas, and analytics workflows. Builds tested, documented, version-controlled data solutions using ETL/ELT principles, orchestration, and modeling frameworks. Creates high-performance Tableau or Looker dashboards, ensures data integrity, and partners with engineering and business stakeholders to enable self-service analytics and data-driven decisions.
Summary Generated by Built In

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, empowered to help. 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.

We are looking for a proactive and detail-driven Analytics Engineer to connect the worlds of data analysis and data engineering. In this role, you will design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. If you’re passionate about analytics, automation, and building scalable solutions, we’d love to hear from you.

Job Description

  • 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.
  • Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets.
  • Create and optimize data models and schemas to support self-serve analytics and ensure data integrity.
  • Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights.

Qualifications

  • 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.
  • Experienced in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions.

Benefits

  • Competitive salary
  • Flexible working hours
  • Supplemental health insurance
  • Professional development stipend
  • $500 wfh tech set-up reimbursement

Think you could be a good fit? Apply to learn more!

Skills Required

  • 4+ years of professional experience in analytics engineering, data engineering, or data science
  • Understanding of data architecture, scalable data pipelines, and analytical storage solutions such as S3, Redshift, Snowflake, or BigQuery
  • Understanding of ETL and ELT processes
  • Hands-on experience with data orchestration tools such as Airflow
  • Hands-on experience with data modeling frameworks such as dbt
  • Proficiency in Python or a similar scripting language
  • Strong SQL expertise, including data modeling and database design best practices
  • Experience creating reports and dashboards with Tableau, Looker, or similar business intelligence tools
  • Experience working in a fast-paced startup environment with iterative technical solutions
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The Company
HQ: New York, NY
131 Employees
Year Founded: 2014

What We Do

At US Mobile, we’re on a mission to revolutionize connectivity. We're building a next-generation connectivity platform to connect the next billion wireless devices onto nationwide 4G and 5G networks, including your phone, drone, car, watch, pet tracker, and everything in between. We’re accomplishing this by leveraging cutting-edge technology and forward-thinking UI design. Whether it’s with our free high-speed international roaming, customizable perks, AI-facilitated plan savings, customizable plans, or real-time dashboards, we’re building the industry’s most delightful user experience all backed by our excellent customer service. US Mobile’s 4G LTE network reaches more than 300 million Americans and includes international calling to over 200 countries and territories, but you will never hear from an operator at US Mobile. Our real, live Customer Support Representatives are available by phone or chat 24 hours a day, 7 days a week – to keep you connected, informed, and saving with US Mobile.

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