What Jobs are available for Data Specialist in Oman?

• Planning & Development Department
• Friday Oct 03, 2025

The Institutional Data Senior Specialist reports to the Planning and Development Director and works closely with all ASU colleges, administrative departments, and external stakeholders to manage institutional data functions. The role ensures effective data collection, management, and reporting to support strategic planning, institutional performance monitoring, and decision-making. This position is critical to maintaining data quality, integrity, and timely reporting in alignment with university policies and strategic priorities.

• Design, implement, and maintain systems for collecting and managing institutional data aligned with university policies, Strategic Plan KPIs, and reporting requirements.
• Prepare institutional reports, dashboards, and visualizations to support strategic planning, performance monitoring, and evidence-based decision-making.
• Coordinate and ensure timely submission of accurate data to internal units and external stakeholders, including providing data for accreditation purposes when requested by the Quality Assurance and Accreditation Department (QAA).
• Develop and maintain monitoring tools to track strategic and operational performance, providing actionable insights to senior management.
• Conduct regular data audits to ensure accuracy, consistency, completeness, and compliance with privacy and security standards.
• Act as a liaison between departments to facilitate efficient data sharing, collaboration, and standardization of reporting formats.
• Provide training and guidance to staff on data management best practices, tools, and compliance requirements.
• Support the integration of institutional data into university-wide performance management and continuous improvement initiatives.

Candidates should have a minimum of four years of experience in roles focused on institutional data management, reporting, and follow-up procedures. This experience should include effectively liaising with diverse stakeholders to contribute to achieving institutional objectives through collaborative, data-driven efforts.

• Strong proficiency in statistical analysis and data visualization tools (e.g., Excel, Power BI, Tableau).
• Experience with data management systems and databases.
• Knowledge of higher education reporting requirements and performance indicators.
• Strong analytical, problem-solving, and organizational skills.
• Excellent written, verbal, and interpersonal communication skills in English; Arabic proficiency preferred.
• Attention to detail and commitment to data integrity.

Ability to work collaboratively across multiple departments.

A minimum of a bachelor's degree in Statistics (preferred), or a related discipline such as Data Science, or Information Management

• Job nature : Full Time
• Posted date : Thursday Sep 18, 2025
• Closing date : Friday Oct 03, 2025

Execute end-to-end process for the maintenance of all existing Subsurface Databases

Execute end-to-end process for well and reservoir data in share drives

Work with Vendors to receive, QC, store and publish the relevant Well, Log and Reservoir data

Ensure and participate in the development and implementation of the upstream technical data operating model/data frameworks (i.e. governance, quality, etc.)/guidelines, roadmaps / data standards / best practices while maintaining the highest standards of data quality, accessibility, extraction and connectivity to the upstream Petro technical applications.

Define and govern the data stewardship for the company upstream technical data to ensure compliance with data governance, enhance data quality and ensure clear accountability for stewardship of the company data assets.

Participate in the development of the upstream technical data strategy, governance initiatives/activities (policies, procedures, structures, roles and responsibilities) to serve the upstream data users across OQEP and to maximize the upstream technical data full potential.

Promote across the organization awareness of general data management principles through knowledge sharing channels like awareness sessions, training, etc.

Develop and execute data science projects using machine learning and other data science analysis techniques

Work with vendors on new technologies related to data analysis and AI

Bachelor s degree in computer science/information technology/ or engineering preferably in subsurface discipline, postgraduate degree is preferable.

8+ years of experience in information technology and relevant business disciplines

Experience in Document management applications like Documentum D2

Experience in WebGIS application

Experience in handling large data sets

Experience in handling live data sources

Experience in handling different data types

Experience with machine learning, neural networks and AI

Soft:

• Detail-oriented.
• Interpersonal skills.
• Reliable.
• Problem-solving skills.
• Organizational skills.
• Strong written and verbal communication skills
• Presentation skills.
• Encourage engagement.
• Be organized.
• Interest in helping businesses and organizations succeed through innovation and fresh thinking.
• Ability to easily digest and simplify complex concepts into easy-to-understand summaries.
• A flexible attitude to work assignments.

Technical:

• Computer Literacy including MS Office
• Experience in Python and/or other coding languages
• Experience in managing large datasets
• SAP experience is a Plus
• APEX/SQL experience is a Plus
• C++ and Java experience is a major plus
• Experience Mobile APP development is major plus