JOB DETAILS

People Intelligence & Insights Specialist

CompanyQatar Airways
LocationDoha
Work ModeOn Site
PostedJuly 18, 2026
About The Company
Qatar Airways is the national airline of the State of Qatar. Based in Doha, the Airline’s trendsetting on-board product focuses on: comfort, fine cuisine, the latest in-flight audio & video entertainment, award-winning service and one of the youngest and most advanced aircraft fleet in the sky. Awards by industry audit Skytrax: - Airline of the Year (2011, 2012, 2015, 2017, 2019, 2021, 2022, 2024, 2025) - World's Best Business Class (2010, 2013, 2014, 2016, 2017, 2018, 2019, 2021, 2022, 2023, 2024, 2025) - World’s Best Business Class Airline Lounge (2013, 2014, 2016, 2017, 2021, 2023, 2024, 2025) - Best Airline in the Middle East (2011, 2012, 2013, 2014, 2015, 2017, 2018, 2019, 2021, 2022, 2023, 2024, 2025) Connecting through its Doha hub, Qatar Airways serves more than 170 key business and leisure destinations worldwide, with a fleet of over 200 aircraft. The airline flies to Australia, Asia, Europe, Middle East, Africa, North America, and South America. Qatar Airways is looking for the very best candidates to help support the Airline's incredible growth. Visit http://bit.ly/QRvacancies to land a great career. Please visit www.qatarairways.com/support if you require a response to a formal complaint.
About the Role

About the Role

The People Intelligence & Insights Specialist is responsible for designing, building, and delivering workforce intelligence solutions that enable data-driven decision-making across HR and the business.

You will deliver descriptive, diagnostic, predictive, and prescriptive analytics to support key areas including talent acquisition, development, learning, nationalization, compensation, organizational design, and business functions. This includes translating workforce data into clear business narratives, strategic insights, and actionable recommendations for HR leadership and stakeholders.

You will develop workforce intelligence models, metrics, and hypotheses to identify patterns, forecast trends, and enable proactive interventions. This includes designing predictive and scenario-based use cases such as attrition risk, internal mobility, skills supply-demand, absenteeism, and succession readiness, as well as models to monitor employee engagement, burnout, and overall workforce wellbeing.

From a data engineering perspective, you will design and enhance HR data models and data warehouse structures to support scalable and trusted analytics. You will write and optimize SQL queries to extract, transform, and validate data across systems, and work with cloud platforms such as GCP and Databricks to build automated data pipelines, improve performance, and ensure reliability.

You will be responsible for maintaining strong data governance practices, including data quality, standardization, documentation, and alignment of HR metrics and definitions.

As part of advancing analytics capabilities, you will contribute to AI and automation initiatives, including the exploration of LLM-enabled tools, conversational analytics, and agent-based solutions. This includes identifying opportunities to automate recurring analyses using Python and supporting the organisation’s readiness for AI-enabled decision-making.

You will also support ERP analytics and system integration, working closely with HRIS, IT, and data teams, including contributing to the transition to Oracle Fusion Cloud by defining reporting requirements and ensuring workforce data is structured, governed, and aligned to future analytics needs.

In addition, you will develop and maintain Power BI dashboards, scorecards, and insight products, ensuring strong data models, performance optimisation, and secure access structures. You will present analyses in a clear, business-relevant way and partner with HR, PMO, and business stakeholders to deliver fit-for-purpose intelligence solutions.



About You

You bring strong technical expertise in analytics and data engineering, combined with the ability to translate workforce data into meaningful insights that drive business impact.

  • Bachelor’s degree in a relevant field (e.g. Computer Science, Data Science, Mathematics, AI/ML or similar), with a minimum of 4 years of relevant experience
  • Experience working with enterprise HR datasets and translating business questions into analytical solutions and decision-ready insights

You have strong hands-on expertise in:

  • SQL for data extraction, transformation, validation, and optimisation
  • Python for analytics, automation, data preparation, and modelling
  • Data warehousing creation and maintenance, including data modelling, data quality, and documentation
  • Cloud analytics platforms such as GCP and Databricks, including building and managing data pipelines
  • BI and visualisation tools (e.g. Power BI, Tableau) and DAX expertise with the ability to develop dashboards and communicate insights effectively
  • Predictive analytics techniques and their application to workforce or business problems
  • Foundational knowledge of AI/ML concepts, including exposure to LLM-based tools and automation

You are able to translate complex data into clear, compelling insights for both technical and non-technical audiences, with strong communication and presentation skills.

You are comfortable working in a fast-paced, delivery-focused environment, managing multiple priorities independently.

You bring a strong problem-solving mindset, curiosity, and a proactive approach to innovation, while collaborating effectively with stakeholders across HR, IT, and the wider business.

Experience with Oracle Fusion Cloud, additional BI tools (e.g. Looker, Tableau), or relevant certifications would be an advantage.

Key Skills
SQLPythonPower BIData EngineeringPredictive AnalyticsGCPDatabricksData ModelingDAXHR AnalyticsAI/MLData Governance
Categories
Data & AnalyticsHuman ResourcesTechnologySoftwareManagement & Leadership
Job Information
📋Core Responsibilities
Design and deliver workforce intelligence solutions and predictive models to enable data-driven decision-making across HR. Build and optimize data pipelines, warehouses, and Power BI dashboards to translate workforce data into strategic business narratives.
📋Job Type
full time
📊Experience Level
2-5
💼Company Size
56751
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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