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Data Analyst (Sage Experience)

US Mobile Karachi, Pakistan
Full-time On-site work

Publication date: 30/08/2026

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.

Responsibilities

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; Write complex SQL queries using Amazon Athena and other cloud-based solutions to extract, transform, and analyze data; Build data pipelines and perform advanced analytics using Python; Automate data preparation tasks and create reusable scripts for reporting workflows; Design and maintain dashboards using Looker to support real-time KPI tracking and performance monitoring; 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; Ensure data accuracy, consistency, and integrity across reports and dashboards

Requirements

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); Experience with Sage

Benefits

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
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