Company: Arab Center for Engineering Studies (ACES) Industry: Consultancy Job Location: Al Khobar, Saudi Arabia Career Level: Junior (With some experience in the field) Date Posted: 25-10-2026 Ref. Number: 167578
JOB SUMMARY
Responsible for assisting in the analysis of large datasets and implementing data-driven solutions that support ACES’s goals. Contributing to the design of data models, development of data pipelines, data analysis and visualization, as well as collaborating on AI-related projects and supporting continuous improvement throughout the data and software development lifecycle.
DUTIES & RESPONSIBILITIES
- Gather, clean, and organize large volumes of structured and unstructured data from multiple internal and external sources, including ACES data.
- Use statistical tools and visualization techniques to analyze large datasets, identify trends, patterns, and correlations, and extract meaningful insights (e.g., geotechnical parameters, test outcomes, operational data).
- Develop and maintain interactive dashboards and reports using Microsoft Power BI.
- Ensure data accuracy, consistency, and integrity throughout the analysis process.
- Support ad-hoc data requests as needed.
- Contribute to AI-related initiatives such as natural language processing, predictive analytics, or computer vision, depending on project requirements.
- Write and debug code in data analytics languages (e.g., Python, R).
- Develop or assist in developing APIs and integrations when needed.
- Brainstorm and develop data-driven solutions for improved decision-making and risk assessment.
- Work closely with engineering teams to understand ACES data requirements and ensure proper data interpretation and application.
- Collaborate with IT teams, data engineers, and ERP Techno Functional consultants to develop data automation solutions.
- Attend and contribute to ACES development and data-focused meetings.
- Write reports, technical documentation, and standard operating procedures related to data analytics and AI and maintain up-to-date documentation of data workflows and infrastructure changes.
- Present findings to stakeholders in clear, concise formats using visualizations, dashboards, and reports.
- Maintain up-to-date documentation of data workflows and infrastructure changes.
- Adhere to all quality, safety, and regulatory guidelines.
- Any duties or responsibilities assigned by the management.