Specialist, Data Analysis

Job Summary

The Specialist, Data Analysis at Hikma Pharmaceuticals is responsible for designing and developing data models by analyzing complex datasets to support business insights and data-driven decisions. The role involves collaboration with various teams to maintain data standards and create reports that identify business trends and opportunities.

Responsibilities

• Design and maintain logical and physical data models for IT and business solutions.
• Collaborate with stakeholders to understand data and business needs and translate them into data models.
• Build and manage complex data solutions, including data cleansing and transformation.
• Create visual data representations such as data flow diagrams and dimensional models.
• Work with data engineers and DBAs to optimize data processes.
• Develop and apply data modelling best practices and resolve related issues.
• Perform performance tuning and optimization of data models.
• Maintain data dictionaries, metadata documentation, and clear dataset definitions.

Requirements

• Bachelor’s degree in Data Science, Data Analytics, Computer Science, Information Systems or related field.
• Minimum three years of experience as a data analyst, data scientist, BI analyst, or similar role.
• Experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis.
• Experience with data analysis and visualization tools including Tableau, Power BI, and Excel.
• Hands-on experience with relational, dimensional, and analytical projects.
• Familiarity with ERP systems like SAP, Sage, or similar.
• Strong communication and stakeholder engagement skills.
• Proficiency in analytics and modelling methodologies, data management, and AI.
• Understanding of data governance concepts including strategic data management and regulatory compliance.
• Experience with tools and technologies such as Microsoft Power BI, SSRS, Azure Analysis Service, SQL Server Analysis Services, and Git for version control.

We refresh listings regularly, but some roles close early on the source platform.