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Open nowPosted 96 days ago

IT Enterprise Analytics Specialist

Workable (global search)108,016 open roles

Where
Amman, Amman Governorate, Jordan
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Your applicationOpen nowIT Enterprise Analytics SpecialistWorkable (global search) · Amman, Amman Governorate, Jordan

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 96 days ago

Workable (global search) median: 7 days open

The posting

A leading global pharmaceutical company is seeking an experienced Data Engineer / BI Engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making. The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.

Responsibilities:

1. Data Engineering & Data Architecture:

  • Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data.
  • Develop robust data transformation and processing logic using Python and distributed data processing frameworks.
  • Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics.
  • Ensure data quality, reliability, performance, and consistency across the data platform.
  • Translate business and analytical requirements into efficient and maintainable data solutions.

2. Analytics & BI Enablement:

  • Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics.
  • Collaborate with analysts and business users to deliver trusted datasets and metrics.
  • Support reporting and dashboarding solutions by providing optimized data structures and calculations.

3. Delivery & Collaboration:

  • Produce clear technical documentation including data models, transformation logic, and pipeline designs.
  • Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.

Requirements

  • Bachelor’s degree in data science, computer science, data engineering, or a relevant field.
  • 1-3 years of BI development experience.
  • 3+ years of cloud-based BI development experience
  • Excellent English language verbal and written communication.
  • Able to analyse and understand complex data.
  • Able to implement modules that have security and authorization frameworks.
  • Strong problem-solving skills

Technical Skills:

Programming & Data Processing:

  • Strong proficiency in Python for data engineering and analytics use cases.
  • Experience building reusable, testable, and maintainable data transformation code.

Data Warehousing & Modeling:

  • Strong knowledge of SQL and analytical query optimization.
  • Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling).
  • Experience designing star and snowflake schemas for analytics and reporting.
  • Understanding of semantic layers and metrics definitions for BI consumption.

Cloud & Modern Data Platforms:

  • Experience working with cloud-based data platforms and data lakes(Preferred Azure).
  • Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).

BI & Analytics:

  • Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI).
  • Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.

CI/CD & DevOps (Supporting Skills):

  • Working knowledge of CI/CD concepts applied to data and analytics projects.
  • Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts.
  • Familiarity with deployment pipelines and environment promotion for data solutions
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