Summary
Gulf Air Group is hiring a Senior Analyst - Data Analytics to turn complex data into insights that support organizational decision-making. The role involves developing data models, ingestion pipelines, warehouse and lakehouse layers, dashboards, APIs, and analytics solutions, while maintaining data quality and performance. The analyst will also support machine learning use cases, testing, documentation, and collaboration with business and technical teams. Applicants need a bachelor’s degree in a relevant field and at least two years of experience in data analytics or a related area. The position is listed at the company’s headquarters in Bahrain.
The posting
As published on gulfairgroup.com. Pulled from the employer's site and shown as they wrote it.
JOB PURPOSE
The Senior Analyst - Data Analytics is responsible for transforming complex data into actionable insights that support data-driven decision-making across the organization. The role designs, develops, and maintains data models, analytics solutions, dashboards, and reporting frameworks while ensuring data quality, governance, and accessibility. The incumbent collaborates with business and technical stakeholders to deliver analytical solutions that improve operational performance and support strategic objectives.
KEY ACCOUNTABILITIES
Conduct data analysis to identify trends, patterns, and correlations.
Gather business and technical requirements for data, application, API, and machine learning solutions; translate them into designs and delivery plans.
Design, build, and maintain ingestion pipelines for databases, files, APIs, and event streams, including scheduling, error handling, and recovery.
Develop warehouse and lakehouse data layers that preserve source history, standardize business entities, and publish trusted datasets for consumption.
Define data models, business keys, transformations, and historical data rules to integrate information across source systems.
Implement data quality checks, reconciliation, monitoring, and alerts for incomplete, delayed, duplicated, or inaccurate data.
Optimize data pipelines, storage, and queries for performance, reliability, scalability, and cost; investigate and resolve production issues.
Prepare and maintain datasets for dashboards, applications, APIs, advanced analytics, and machine learning use cases.
Work with relevant teams to prepare training and inference data, integrate approved ML models into applications or pipelines, and monitor their outputs and performance.
Design, develop, and maintain web applications, backend services, and secure REST APIs using .NET and other approved technologies.
Build interfaces between internal applications, third-party systems, and data platforms with appropriate authentication, authorization, logging, and error handling.
Develop automated unit, integration, and data validation tests; participate in code reviews and follow release and deployment processes.
Document data flows, interfaces, code, data definitions, operational procedures, and known limitations to support maintainability.
Work with business users and source system owners to validate delivered data and functionality and support user acceptance and sign-off.
EDUCATION & EXPERIENCE
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Technology, or a related field.
Proven experience of at least 2 years in data analytics or a related field