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Job Description
Roles & Responsibilities
Responsibilities:
Leverage data to evaluate end-to-end fulfillment performance across Air and Non-Air services, identifying operational bottlenecks and systemic inefficiencies.
Develop analytical models and performance frameworks to monitor SLA adherence, customer impact ratios, and overall operational performance.
Drive data-driven decisions in fulfillment strategy and operations
Quotation Management (QM) Intelligence
Develop analytics solutions to monitor quotation lifecycle, supplier responsiveness, and operational efficiency.
Define and track KPIs to improve case resolution and team productivity.
Workforce Management & Quality Assurance Analytics
Utilize data from platforms like Infobip to develop insights into agent productivity, demand forecasting, and workforce allocation accuracy.
Redesign and modernize WFM and QA reporting tools to reflect real-time performance metrics, quality trends, and compliance insights.
Implement predictive models to anticipate staffing needs, identify quality risks, and support proactive workforce planning.
Advanced Analytics & Data Solutions
Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics.
Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams.
Collaboration & Data Governance
Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies.
Drive data literacy and analytical best practices across teams.
Desired Candidate Profile
Profile Requirements:
- Bachelor s or Master s degree in STEM, Business Analytics, or related field.
- 5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.
- Proficiency in SQL, Python or R, and advanced Excel.
- Strong experience in Fulfillment or Call Centre Data Analytics practices.
- Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.
- Excellent stakeholder management and communication skills; English fluency.
- Experience building and deploying machine learning models e.g. Forecasting, Vendor Reliability Scoring Model, Customer Impact Scoring Model & etc.
- Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).
Company Industry
- Travel
- Tourism
Department / Functional Area
- IT Software
Keywords
- Specialist - Data Analyst
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Almosafer
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.br>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.br>We re united by a bold vision:br>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.
https://jobs.almosafer.com/job/Cairo-Specialist-Data-Analyst/1250389001/
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