Senior Analyst Data Analytics (Data Engineering)

Gulf Air; Manama; On-site; BHD 18,000 - 30,000; Full time

Job summary

Gulf Air seeks a Senior Analyst - Data Analytics to transform complex data into actionable insights and design scalable data models, analytics solutions, dashboards, and reporting frameworks.

You will collaborate with business and technical stakeholders to deliver analytics that improve operational performance and support strategic objectives, while ensuring data quality, governance, and accessibility across the organization.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Technology, or a related field.
• 2+ years of data analytics experience or related field.

Responsibilities

• Analyze data to identify trends, patterns, and correlations.
• Gather requirements for data, API, and ML solutions; translate into designs and delivery plans.
• Design, build, and maintain ingestion pipelines for databases, files, APIs, and event streams.
• Develop warehouse and lakehouse data layers that preserve source history and publish trusted datasets.
• Define data models, transformations, and historical data rules across source systems.
• Implement data quality checks, reconciliation, monitoring, and alerts for data quality.
• Optimize data pipelines, storage, and queries for performance and cost; resolve production issues.
• Prepare and maintain datasets for dashboards, applications, APIs, and ML use cases.
• Collaborate with teams to validate delivered data and support user acceptance.

Skills

Data analytics

Data modeling

ETL pipelines

REST APIs

Education

Bachelor's degree in Computer Science or related field

Tools

.NET

SQL

Cloud data platforms

Job description

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 RESPONSIBILITIES

• 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.

Desired Candidate Profile

• 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