Specialist - Data Intelligence

About the Company:

At Almosafer (part of Seera Group), we're not just part of the travel industry, we're helping shape its future.

As Saudi Arabia's leading travel company, we serve millions across every segment of the travel and tourism ecosystem.

Rooted in our name "Almosafer," meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.

We're united by a bold vision:

To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.

Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.

We are seeking a Senior Data Intelligence Specialist to join Almosafer's Core Data Team — the critical bridge between Data Engineering and Data Intelligence.

Core Data ensures that Almosafer's analytical ecosystem is robust, scalable, and business-ready, by designing ETL logic, maintaining documentation, exposing curated data via APIs, and ensuring stakeholder requirements are translated into high-quality engineering outputs.

The ideal candidate is a hybrid profile: part data engineer, part analyst, and part data scientist — with strong SQL and ETL skills, hands-on BI experience, and the curiosity to innovate with RAG pipelines, AI agents, and predictive models.

Responsibilities

Data Architecture & ETL

• Maintain and validate the logic of pipelines built by Data Engineering, ensuring transformations align with business rules.

• Monitor data quality, consistency, and availability across the stack (Data Lake → Data Warehouse → Data Marts) for the Data Intelligence team.

• Act as the quality gatekeeper, making sure Core Data outputs are always reliable and business-ready.

• Collaborate with Data Engineering to address issues and enhance pipeline efficiency when needed.
  
  

Documentation & Standards

• Own and maintain business and technical documentation for Core Data tables.

• Define column-level business rules and data quality checks.

• Support lineage and metadata tracking for critical datasets (transactional, OMS, Salesforce, GA4, SAP).
  
  

APIs & Data Access

• Work with engineering to expose curated datasets via REST and GraphQL APIs.

• Enable downstream consumers (Data Intelligence, product, external systems) with API-first design.

• Monitor and document API performance, access, and governance.
  
  

Stakeholder Management & Communication

• Act as the bridge between Data Intelligence and Data Engineering, ensuring requirements are clearly scoped and delivered.

• Proactively align with BI and commercial analysts to understand reporting needs and translate them into scalable Core Data solutions.
  
  

Analytics & BI Enablement

• Build and maintain Tableau dashboards to monitor Data usage, data quality, and pipeline health.

• Enable self-service data models and support Data Intelligence analysts in their workflows.

AI/LLM Innovation

• Contribute to Almosafer's AI-driven analytics initiatives by building and experimenting with Retrieval-Augmented Generation (RAG) pipelines

• Design and maintain embeddings, vector databases, and retrieval strategies for Core Data use cases.

• Develop agents using LangChain, LangGraph or Llamaindex, with a primary focus on Text-to-SQL query generation.

• Explore broader applications of RAG agents (e.g., schema exploration, categorization, or NLP enrichment) as the ecosystem evolves.
  
  

Data Science & Predictive Models

• Partner with Data Intelligence on predictive and advanced analytics use cases such as booking forecasts, booking pattern detection, categorization jobs, and NLP-driven text analysis.

• Build and deploy machine learning models (scikit-learn, TensorFlow, Boosting algorithms, Keras, PyTorch) for business impact.
  
  

• Bachelor's or Master's in Computer Science, Data Science, or related field.

• 5+ years of experience in data analytics, BI, or data engineering.

• Strong SQL and ETL design skills (Hive, Spark, Athena, or equivalent).

• Experience working with data lake, data warehouse, and data mart architectures.

• Proficiency with Tableau (or Power BI/Looker) for dashboards and storytelling.

• Familiarity with REST and GraphQL API design and integration.

• Experience with Python for data processing, APIs, and machine learning.

• Hands-on exposure to LangChain / LangGraph, embeddings, and RAG pipelines.

• Knowledge of predictive modeling, categorization, and NLP techniques.

• Excellent communication skills to bridge business and technical teams.

• Familiarity with big data warehouses (Redshift, Snowflake, BigQuery, or similar).
  
  

Being you @ Almosafer:

At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way. 

Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.

Here, you will find:

A purpose-led workplace where your ideas can create real impact

Ongoing learning and development to help you grow with intention

Recognition that celebrates your wins, both big and small

A community built on trust, curiosity, and shared momentum

 
No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.

About the company:
Almosafer (part of Seera Group) Saudi Arabia's Leading Travel Company

Elevating the journey for travellers from Saudi Arabia, the region & beyond, while harnessing Seera Group's 40+ years of expertise, Almosafer supports Saudi Arabia's vision as a national champion for tourism. Almosafer creates opportunities for outbound, leisure, and religious travel, whilst serving B2C and B2B customers, partners, and suppliers with state-of-the-art travel solutions, a digital-first mindset, and travel advisory.

About the job:

We are seeking a skilled and experienced Data Intelligence Analyst to join our team and drive strategic data projects for our Commercial team. In this role, you will work closely within the area of Sourcing (Air & Non-Air) to conduct various analyses to identify opportunities for data-driven insights and deliver actionable recommendations.

Responsibilities:

Act as the primary point of contact for the Sourcing (Air & Non-Air) department regarding their data needs.
Lead analytical projects that leverage internal and external data sources to deliver insights and recommendations to drive business results.
Lead data projects from concept to delivery, including data requirements gathering, data modeling, analysis, visualization, with a key focus on deriving actionable insights and making data-driven recommendations.
Collaborate with cross-functional teams to define detailed use cases for analytic and monetization initiatives.
Translate business requirements into technical requirements for data engineers.
Monitor performance and quality control plans to identify areas for improvement.

Profile Requirements:

Bachelors or Masters degree in a STEM field or business administration.
5+ years of experience in data analytics, with demonstrated experience leading data-driven projects related to Commercial or Travel Analytics.
Strong analytical skills and knowledge of advanced statistical, analytical, and visualization tools (Tableau, PowerBI, Quicksight, etc) and methodologies.
Strong working knowledge on programming languages like SQL is a must, additionally knowledge in python will be preferred.
Prior experience in the travel industry (Airline, Hotel & Travel Agency) is preferred.
Experience in building ML and rule-based models will be an added bonus.
Strong business acumen with a demonstrated ability to understand business strategy and translate it into data-driven recommendations.
Excellent presentation skills, including the ability to effectively communicate complex data insights to stakeholders at all levels of the organization.
Experience in creating executive presentations and reports that clearly and concisely convey analytical findings and recommendations.
Ability to think creatively and develop innovative solutions to complex business problems using data and analytics.
Experience working in a fast-paced, dynamic environment and managing multiple projects simultaneously while meeting deadlines and maintaining a high level of accuracy and attention to detail.
Excellent communication skills in both English and Arabic (preferred) to convey complex data project outcomes to Non-Technical stakeholders.

Being you @ Almosafer:
At Almosafer we strongly believe in diversity and equal opportunities for all candidates. We do not discriminate based on any characteristic and follow fair employment practices regarding citizenship and immigration status. Join our inclusive work environment.