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General Information
Ref # 2600008M
Location: Qatar-Doha
Job family: Corporate & Commercial
Closing Date: 2026-07-02
Description
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.
Qualification
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.
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.
https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&job=2600008M
Ref # 2600008M
Location: Qatar-Doha
Job family: Corporate & Commercial
Closing Date: 2026-07-02
Description
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.
Qualification
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
- 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 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.
https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&job=2600008M
Key Skills
Ranked by relevance
cloud
power bi
tableau
oracle
gcp
ai
technical expertise
data warehouse
python
looker
hris
sql
dax
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- Posted
- Jun 19, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Doha Metropolitan Area
- Company
- Qatar Airways
Industries
Airlines
Aviation
Categories
Other
Information Technology
Management
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3 roles aligned with this opportunity
View Job Details
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2026-06-19
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View Job Details
Related
Full Stack Engineer
2026-06-19
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View Job Details
Related
Vienna Cabin Crew Opportunities (Dubai Based, Relocation Provided)
2026-06-16
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