VIE/PANGEO Data Analyst M/W

Veolia; Riyadh; On-site; SAR 100,000 - 130,000; Full time

Job summary

A leading environmental solutions company based in Riyadh is seeking a Data Analyst to conduct statistical analyses and support project objectives. You will collect and validate data from various sources and develop predictive models for demand forecasting. The ideal candidate has a Bachelor’s degree in data science and at least 2 years of experience in data analysis, proficient in SQL and a scripting language. The company offers a dynamic work environment emphasizing diversity and inclusion.

Qualifications

• 2+ years of experience in data analysis or business intelligence.
• Experience working with large datasets, time-series data, and geospatial data.
• Strong command of SQL and at least one scripting language (Python or R).

Responsibilities

• Conduct statistical, trend, and spatial analyses to identify patterns.
• Collect, clean, and validate data from various sources.
• Collaborate with engineers to interpret findings.

Skills

Data analysis

SQL

Python

R

Dashboard development

Geospatial data

Data modeling

Education

Bachelor’s degree in data science

Tools

Power BI

Job description

Company Description

About Veolia
Veolia group aims to be the benchmark company for ecological transformation. In 2022, with nearly 220,000 employees worldwide, the Group designs and provides game-changing solutions that are both useful and practical for water, waste and energy management. Through its three complementary business activities, Veolia helps to develop access to resources, preserve available resources, and replenish them. In 2021, the Veolia group supplied 79 million people with drinking water and 61 million people with wastewater service, produced nearly 48 million megawatt hours of energy and treated 48 million metric tons of waste. Veolia Environnement (Paris Euronext: VIE) generated consolidated revenue of €28.508 billion in 2021. www.veolia.com

Job Description

Conduct statistical, trend, and spatial analyses to identify patterns in water consumption, leakages, and water quality variations.

Collect, clean, and validate data from operational systems, IoT sensors, laboratory reports, GIS databases, field monitoring systems and customer services.

Collaborate with engineers to interpret findings and support project objectives.

Support the development of predictive models for demand forecasting, leak detection, and system optimization.

Manage data pipelines and ensure accuracy, completeness, and compliance with internal and regulatory standards.

Integrate multiple data sources (databases, APIs, Excel, GIS, etc.) into Power BI or similar tool for unified analytics.

Prepare detailed reports and presentations to communicate analytical findings to technical and non-technical stakeholders.

Develop and maintain interactive dashboards to visualize key performance indicators (KPIs) related to water supply, quality, demand, and asset performance.

Qualifications

Educational background: Bachelor’s degree in data science

Previous experience: 2+ years of experience in data analysis or business intelligence

Skills: Experience working with large datasets, time-series data, and geospatial data. Strong command of SQL and at least one scripting language (Python or R) and data modeling. Demonstrated experience developing dashboards and reports.

Languages: English

Other: A good understanding of the concepts and principles related to carbon footprint (desirable)

Additional Information

Toutes vos informations demeureront confidentielles en vertu des directives sur l'égalité d'accès à l'emploi.

As an inclusive company, Veolia is committed to diversity and gives equal consideration to all applications, without discrimination.

The preceding description is not designed to be a complete or exhaustive list of all duties and responsibilities that will be carried out by the selected candidate.

Veolia Middle East does not and shall not discriminate in any forms in its recruitment processes.