Sr. Data Analyst

Posted An Hour Ago
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2 Locations
In-Office or Remote
Senior level
Information Technology • Mobile
The Role
Designs and maintains ETL pipelines, data models, dashboards, and analytics processes for large datasets. Develops statistical models, complex metrics, and data products; analyzes trends and relationships; and communicates insights through visualizations. Builds, deploys, monitors, and maintains machine learning and GenAI pipelines. Ensures data governance, quality, privacy, security, documentation, and performance across data architecture and management systems.
Summary Generated by Built In

Key Responsibilities:

  • Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading (ETL) of large datasets
  • Create algorithms and statistical models to extract actionable insights.
  • Design, develop and implement data models for base tables and dashboards
  • Conduct thorough analysis to understand data models, upstream source systems, and trends within datasets
  • Query massive data sets to interpret complex relations
  • Build complex logics for attributes, metrics and feature banks under engineered datasets and reports
  • Leverage GenAI capabilities and machine learning techniques to enhance data analysis capabilities.
  • Enable and/or develop AI use cases (ML or GenAI based)
  • Test, vet, deploy, maintain and monitor AI pipelines 
  • Create visualizations and dashboards to communicate data-driven insights.
  • Package and serve data products over the various reporting outlets in use
  • Adhere to information security and personal data privacy mandates and guidelines in data collection, analysis, access management and reporting
  • Implement best practices for data governance, quality and documentation
  • Implement best practices and continuously improve data analytics processes
  • Develop and maintain data architecture and data management, ensuring data integrity, security, and optimal performance

Education:

Bachelor's degree in IT, Computer Engineering, Computer Science, Data Science

Level of Experience:

Limited Experience (2-5Yrs) in a related field 

Technical Skills & Knowledge:

Essential:

  • Excellent knowledge of data warehousing and data modelling principle
  • Excellent knowledge SQL
  • Very good knowledge of Linux and OS Administration
  • Excellent knowledge of Python
  • Working knowledge of orchestration platforms (e.g. Airflow)

Desirable:

  • Good knowledge of telecom core systems and data sets
  • Good knowledge of key information security and networking principles
  • Good knowledge of Scala
  • Good knowledge of spark framework

Certifications & Licensure

Essential:

  • SQL (any variant) Certification
  • Python Certification
  • Hadoop or Data Lakehouse Certification 

Desirable:

  • GenAI and LLM Engineering Certification
  • Spark Certification
  • Airflow Certification

Tools & Systems: 

Essential: 

  • Data Warehousing or modern data platform 
  • Apache Hadoop eco-system
  • Power BI (or other visualization tools)
  • Python (base, pandas, scikit-learn)
  • Agentic Development

Desirable:

  • GenAI e2e solutions development

Skills Required

  • Bachelor’s degree in IT, Computer Engineering, Computer Science, or Data Science
  • 2–5 years of experience in a related field
  • Excellent knowledge of data warehousing and data modeling principles
  • Excellent knowledge of SQL
  • Very good knowledge of Linux and operating system administration
  • Excellent knowledge of Python
  • Working knowledge of orchestration platforms such as Airflow
  • SQL certification
  • Python certification
  • Hadoop or Data Lakehouse certification
  • Knowledge of telecom core systems and datasets
  • Knowledge of information security and networking principles
  • Knowledge of Scala
  • Knowledge of Apache Spark
  • GenAI and LLM Engineering certification
  • Spark certification
  • Airflow certification
  • Experience with data warehousing or modern data platforms
  • Experience with the Apache Hadoop ecosystem
  • Experience with Power BI or other visualization tools
  • Experience with Python libraries including pandas and scikit-learn
  • Agentic development experience
  • GenAI end-to-end solutions development experience
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The Company
1,466 Employees
Year Founded: 2005

What We Do

Umniah is a leading Jordanian mobile network operator and telecommunications company providing high-quality mobile, internet, and digital solutions. Established in 2005 as a subsidiary of Batelco Group, it focuses on innovation and customer experience, offering services to millions of customers and businesses across Jordan through its mobile, fiber, and cloud computing capabilities.

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