People Intelligence & Insights Specialist

Employment; Doha; On-site; QAR 180,000 - 300,000; Full time

Job summary

Employment in Doha, Qatar, seeks a People Intelligence & Insights Specialist to design, build, and deliver workforce analytics enabling data-driven HR decisions and business strategy.

You will develop descriptive, diagnostic, predictive, and prescriptive analytics across talent acquisition, development, learning, nationalization, and organizational design, using SQL, Python, and BI tools on a modern data stack.

Qualifications

• Bachelor’s degree with at least 4 years of experience with enterprise HR datasets.
• Ability to translate workforce data into meaningful insights for leadership.
• Strong SQL, Python, data warehousing, and cloud analytics experience.
• Experience with Oracle Fusion Cloud is a plus.

Responsibilities

• Design, build, and deliver workforce intelligence solutions for HR and business.
• Develop predictive and prescriptive analytics for talent areas (acquisition, development, analytics).
• Build and optimize data pipelines on GCP/Databricks and maintain data models.
• Create Power BI dashboards and insight products; present analyses to stakeholders.
• Ensure data governance and alignment of HR metrics across the organization.

Skills

SQL

Python

Data warehousing

GCP & Databricks

Power BI / Tableau

Predictive analytics

AI/ML concepts

Education

Bachelor’s degree in Computer Science / Data Science / Mathematics / AI/ML

Tools

Power BI

Tableau

Looker

DAX

Job description

General Information

Ref # 2600008M

Location: Qatar-Doha

Job family: Corporate & Commercial

Closing Date: 2026-08-31

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

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.