Data Analyst

Egup Open

United Arab Emirates Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Egup. United Arab Emirates.

Pay not stated Data Analyst salary

RoleData Analysis & BI

SeniorityMid-level

LocationUnited Arab Emirates

PostedAug 11, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Prepare and explain data for executives and project teams, including KPIs and performance measures
Build Power BI dashboards and reports for engineering projects and leadership decisions
Create report layouts that combine executive summaries, key metrics and visual displays
Improve data gathering and reporting by automating workflows and checking data quality
Use structured and unstructured data to surface patterns, risks and opportunities

What you bring

At least three years in data management, reporting or analysis
You have worked with databases and can use SQL; relational database experience is preferred
You can prepare executive reports and project performance updates, then explain findings clearly
Advanced skill in Excel and Office, plus experience with Power Query and Power BI

Who this fits

This role suits an analyst who can turn data into clear reporting for both technical and non-technical audiences. You’ll work across functions and support engineering leaders and executives.

From the employer

Job Description

Job Summary

The Data Analyst is responsible for analysing, preparing, and presenting data to support executive decision-making, project reporting, and engineering performance tracking. This role focuses on developing structured reporting, dashboards, and data solutions while continuously improving data collection, quality, and efficiency. The position collaborates with cross-functional stakeholders to deliver high-quality insights and scalable reporting capabilities.

Key Responsibilities

Analyse, prepare, and present data for executive and project-level stakeholders.
Prepare KPIs, metrics, and data for executive reports and presentations.
Create reports and dashboards to support engineering project management and executive reporting.
Design report layouts with clear executive summaries, KPIs, and graphical visualisations.
Review existing data collection methods and identify opportunities for continuous improvement.
Design, develop, and maintain Power BI dashboards that deliver accurate, timely, and actionable insights for Engineering leadership and executive stakeholders.
Develop and maintain tables, templates, trackers, and structured data models.
Implement automation to improve data collection and reporting processes.
Ensure data accuracy, consistency, integrity, and reporting readiness.
Identify trends, patterns, risks, and opportunities from structured and unstructured data.
Support cross-functional teams with reporting, analytics, and data-driven decision-making.
Develop and enhance business intelligence and reporting solutions.
Apply data transformation, cleansing, validation, and standardisation techniques.
Continuously improve reporting processes to increase speed, quality, and efficiency.

Qualifications

Minimum 3–5+ years of experience in data management, reporting, or data analysis.
Strong experience working with databases; relational databases preferred.
Strong ability to summarise, interpret, and communicate data, identifying meaningful trends and insights.
Experience preparing executive-level reports and project performance reporting.
Advanced proficiency in Microsoft Excel and Microsoft Office applications.
Experience with Power Query, Power BI, and similar reporting and visualisation tools.
Experience designing reports with strong data visualisation and presentation capabilities.
Proficiency in SQL; knowledge of M and DAX is desirable.
Programming experience (e.g., VBA or similar languages) is advantageous.
Experience developing data models, reporting templates, trackers, and structured datasets.
Strong analytical, problem-solving, and organisational skills.
Excellent communication skills with the ability to present complex information to technical and non-technical audiences.
Experience working with large datasets from multiple business systems.
Ability to work collaboratively across functions in a dynamic global environment.