Data Insights Specialist

3 days ago

Karachi, Sindh, Pakistan beBeeAnalysis Full time $80,000 - $120,000

At US Mobile, we are looking for a skilled Data Analyst to join our team. As a Data Analyst, you will be responsible for analyzing large datasets from multiple sources to identify trends, patterns, and insights that inform business decisions.

Key Responsibilities

  • Analyze large datasets from multiple sources to identify trends, patterns, and insights that inform business decisions.
  • Work directly with 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.

Qualifications

  • 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.
  • Strong analytical mindset with excellent problem-solving skills.
  • Ability to work effectively with US-based teams.
  • Excellent communication skills (verbal and written).

What We Offer

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge projects with a collaborative team culture.
  • Long-term growth opportunity in a growing tech company.

Join us at US Mobile 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.

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