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Data Analyst

4 weeks ago

Karachi, Sindh, Pakistan US Mobile Full time

Join to apply for the Data Analyst (Sage Experience) role at US Mobile

Join to apply for the Data Analyst (Sage Experience) role at US Mobile

About US Mobile

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That's the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity for customers in the US.

About US Mobile

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That's the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity for customers in the US.

At the core of it all, our people are the driving force behind our success. We're one collaborative, driven, and empowered team on a mission to build a product that makes the lives of our customers easier.

About The Role

We are seeking an experienced Data Analyst who thrives in a fast-paced environment and is

passionate about turning complex data into actionable insights. The ideal candidate should have

a strong background in SQL, Python, Sage and hands-on experience working with data platforms like

Amazon Athena and Looker.

Key Responsibilities

Data Analysis & Reporting:

  • Analyze large datasets from multiple sources to identify trends, patterns, and insights

that inform business decisions.
  • Work directly with US-based stakeholders to gather requirements and deliver timely

analytical solutions.

SQL / Athena / Sage Expertise:
  • Write complex SQL queries using Amazon Athena and other cloud-based solutions to

extract, transform, and analyze data.
  • Experience with Sage

Python Automation & Modeling:
  • Build data pipelines and perform advanced analytics using Python. Python is a must for

this role.
  • Automate data preparation tasks and create reusable scripts for reporting workflows

Looker Dashboarding & Visualization:
  • Design and maintain dashboards using Looker to support real-time KPI tracking and

performance monitoring.

Cross-functional Collaboration:
  • Partner with teams across product, marketing, customer service, and finance to support

data needs.
  • Present insights and recommendations to stakeholders in a clear and concise manner

Quality & Governance:
  • Ensure data accuracy, consistency, and integrity across reports and dashboards

Qualification Criteria
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related

field
  • 1+ year of experience in a data analyst or similar role
  • Proficient in SQL (Athena preferred), Python (mandatory), and data wrangling tools
  • Experience with Looker required (Power BI not applicable)
  • Strong analytical mindset with excellent problem-solving skills
  • Ability to work in EST time zone and collaborate effectively with US-based teams
  • Excellent communication skills (verbal and written)

What US Mobile Offers
  • Competitive salary and benefits
  • Opportunity to work with a U.S. based team on cutting-edge projects
  • Fast-paced and collaborative team culture
  • Long-term growth opportunity in a growing tech company

Join USM to help shape an organization that values people at its core.

If you're passionate about Data Analysis and excited about making a meaningful impact, we'd love to hear from you

Apply Now and be part of a team that's redefining the customer experience and workplace culture at US Mobile.Seniority level
  • Seniority levelNot Applicable
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesTelecommunications

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