CEO Office Analyst and EA

placeDubai calendar_month 

Job Summary & Purpose:

The CEO Office Analyst – Data, AI & Decision Intelligence supports the CEO by transforming organizational data

into structured insights that enable faster and better decision-making.

The role focuses on integrating business data, building analytical frameworks, and leveraging AI technologies

to automate information synthesis and executive decision support.

The Analyst will help design intelligent information systems and agentic AI workflows that consolidate data

from internal systems such as ERP, data warehouses, dashboards, and operational reports, enabling the CEO to

directly access reliable insights without relying on manual business reviews.

This role combines business analysis, data analytics, and emerging AI technologies to streamline executive

information flow and improve organizational responsiveness.

Key Performance Areas (KPAs) & Principal Accountabilities:

1 Executive Data Intelligence:

ï· Consolidate operational, financial, and strategic data from multiple internal systems

including ERP, analytics platforms, and data warehouses.

ï· Convert raw business data into structured executive-level insights and dashboards.

ï· Build concise analytical summaries highlighting trends, anomalies, risks, and

opportunities.

ï· Support the CEO in interpreting data-driven insights for strategic decision-making.

2 AI-Driven Decision Support Systems

ï· Design and prototype AI-powered executive information assistants that enable quick

retrieval of business insights.

ï· Develop Agentic AI workflows that automate the extraction, synthesis, and

summarization of enterprise data.

ï· Identify opportunities to leverage AI tools, LLMs, and automation platforms to streamline

executive information management.

ï· Collaborate with internal data teams to integrate AI solutions with existing data

infrastructure.

3 Business Analysis & Insight Generation:

ï· Conduct structured analysis of business performance across sales, operations, logistics,

and customer metrics.

ï· Translate complex datasets into actionable insights for leadership decision-making.

ï· Support hypothesis-driven analysis to identify performance drivers and operational

inefficiencies.

ï· Assist in developing predictive and analytical models to support strategic planning.

4 Information Architecture & Knowledge Management:

ï· Build structured information repositories for CEO-level intelligence.

ï· Create frameworks to organize internal data, reports, and insights into accessible

formats.

CEO Office Analyst – Data, AI & Decision Intelligence

SDG-HRD-F-02, Version No. 2, Effective date: 01.01.2023

ï· Design systems that allow rapid retrieval of insights from enterprise data sources.

5 Strategic Research & Technology Exploration:

ï· Conduct research on emerging technologies including AI, analytics platforms, and

automation tools relevant to executive decision support.

ï· Evaluate new tools that can enhance organizational intelligence and information

management.

ï· Assist the CEO office in implementing technology-led improvements to decision-making

processes.

BenefitsQualitative Requirements

Experience

(Years & Field)

0–3 years of experience in one or more of the following areas:

ï· Business Analysis

ï· Data Analytics

ï· AI / ML Applications

ï· Consulting / Strategy Analytics

Educational

Qualification

MBA (Business Analytics / Strategy / Consulting / Technology Management)

OR

Bachelor’s degree in Engineering, Computer Science, Data Science, Analytics, or related

fields.

Skills & Technical

Competencies

Analytics & Data

ï· SQL, Python, or similar analytical tools

ï· Data visualization platforms (Power BI, Tableau, Looker)

AI & Technology

ï· Exposure to AI / LLM tools and frameworks

ï· Understanding of AI-assisted decision support systems

ï· Familiarity with automation tools or AI agent frameworks

Business Analysis

ï· Data interpretation and insight generation

ï· Structured problem solving

ï· Business process analysis

Communication

ï· Ability to synthesize complex data into executive-ready insights

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