12 Data Specialist jobs in Oman

• Bachelor's degree in Computer Science or a related field.
• 1-2 years of experience in data analysis or data engineering.

Skills / Knowledge:

• Familiarity with programming languages like Python, R, or SQL.
• Solid understanding of statistical and machine learning concepts.
• Strong problem-solving and analytical skills.
• Excellent data visualization and presentation skills.
• Excellent communication and technical documentation abilities.
• Strong leadership and mentoring abilities.
• Ability to work collaboratively and learn quickly.
• Well-developed interpersonal skills and excellent communications skills in English.
• Respect & Integrity
• Problem Solving & Decision Making

The Junior Data Science Engineer supports data analysis projects by building and maintaining models, pipelines, and tools under the guidance of senior team members.

• Assist in designing, developing, and implementing advanced data models and predictive analytics to solve business problems and drive decision-making.
• Build, maintain, and optimize scalable and efficient data pipelines to facilitate seamless data integration and processing across the organization.
• Conduct comprehensive exploratory data analysis to uncover insights, trends, and patterns, and present findings in a clear and actionable manner.
• Support the implementation and optimization of machine learning algorithms, ensuring they meet performance, accuracy, and scalability requirements.
• Work closely with cross-functional teams, including business stakeholders and senior data scientists, to understand requirements and deliver tailored data-driven solutions.
• Develop and maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and transparency.
• Prepare detailed reports and dashboards to communicate insights and progress to stakeholders.
• Stay up-to-date with emerging trends, tools, and methodologies in data science and analytics.
• Actively contribute to improving teamwork flows and adopting innovative approaches to solving challenges.

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
  
  

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
• Proven track record of successfully leading and delivering large-scale data science projects that drive business value
• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
• Strong project management skills and ability to lead teams in a fast-paced environment
• Excellent analytical and strategic thinking skills, with a focus on results
• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

About PhazeRo

PhazeRo is a forefront leader in data science and technology solutions, delivering powerful analytics and transformative insights across various industries. We pride ourselves on a culture that nurtures innovation, collaboration, and intellectual growth. By joining PhazeRo, you will have the opportunity to shape the direction of cutting-edge data strategies and lead a talented team eager to drive impactful outcomes.

Position Overview

We are seeking a Head of Data Science to lead our data science initiatives and strategically drive our analytics capabilities. In this role, you will oversee the entire data science function, setting the vision and strategy while ensuring the delivery of high-quality data-driven solutions. You will collaborate closely with cross-functional teams to identify opportunities where data science can add value and effectively communicate insights to stakeholders at all levels.

Key Responsibilities

• Lead and mentor a dynamic team of data scientists and analysts, fostering a culture of continuous learning and innovation.
• Develop and execute a comprehensive data science strategy aligned with business objectives.
• Collaborate with stakeholders to define data-driven solutions and ensure project delivery meets timelines and quality standards.
• Oversee the design, implementation, and evaluation of complex machine learning models and algorithms.
• Bridge between technical teams and business units, effectively presenting key findings and recommendations.
• Stay abreast of the latest trends and advancements in data science and technology, incorporating them into our strategy and methodologies.
• Manage relationships with external partners and vendors to enhance our data science capabilities.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• At least 7 years of experience in data science and analytics, with a proven track record in a leadership role.
• Strong expertise in machine learning, data mining, statistical analysis, and predictive modeling.
• Proficiency in programming languages such as Python, R, or Scala and experience with data visualization tools.
• Demonstrated experience in deploying models into production and working with big data technologies (e.g., Hadoop, Spark).
• Excellent leadership and team management skills with a focus on developing talent.
• Outstanding communication skills, capable of conveying complex technical concepts to non-technical audiences.
• Strong analytical and problem-solving mindset, with a passion for leveraging data to drive business outcomes.

Benefits

• An honest, entrepreneurial, collaborative, high performance culture.
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.

We're Hiring | Data Migration Specialist – SAP & Oracle ERP

Location: Qatar

Experience: 6–8 years (preferred)

Duration: 1 year (extendable)

Key Responsibilities:

Participate as a Data Migration team member for SAP and Oracle ERP projects.

Utilize SAP Data Services (BODS) and other ETL tools to extract, transform, and load data accurately.

Assist in mapping, cleansing, and validating data from legacy systems to SAP or Oracle ERP.

Support the development of data migration scripts, workflows, and batch jobs.

Collaborate with functional and technical teams to ensure smooth and accurate data migration.

Ensure data integrity, consistency, and compliance with project requirements.

Job Type: Full-time

Application Question(s):

• Do you have experience in SAP Data Services (BODS) for data migration projects?
• Do you have experience with ETL tools for data extraction, transformation, and loading?
• Have you worked on data migration projects for SAP or Oracle ERP systems?
• Do you have experience in mapping, cleansing, and validating data from legacy systems?
• Have you developed data migration scripts, workflows, or batch jobs?
• Are you experienced in ensuring data integrity, consistency, and compliance during migration projects?
• what is your current and expected salary? Notice period?

Job Title: Dashboard & Data Analytics Specialist

Duration: 6 Months (Extendable)

Experience Required: Minimum 4 Years

Role Overview

We are seeking an experienced Dashboard & Data Analytics Specialist to design, enhance, and maintain dashboards and analytics solutions that drive business insights and decision-making. The ideal candidate will have strong hands-on expertise in Power BI (On-Prem & Cloud), Qlik, DAX, SQL, and MS Excel, with a proven ability to translate data into actionable insights.

This role requires close collaboration with management, IT teams, and external vendors to develop dashboards across multiple systems and support the organization's data-driven transformation strategy.

Key Responsibilities

• Develop new dashboards and insights based on business and management requirements.
• Enhance and optimize existing dashboards for performance and usability.
• Research and implement new visualization techniques to improve data storytelling.
• Analyze complex datasets as directed by management and present findings via dashboards.
• Work with multiple vendors to understand existing database structures and integrate them into dashboards.
• Support dashboard development across 5–6 business systems/applications (approx. 25 dashboards) during the engagement.
• Implement and maintain on-premise Power BI Reporting Server, SharePoint Lists (on-premise), and SQL Server integrations.
• Provide technical support in areas such as Gateway installation, Direct Query approach, and Power BI migration from on-premise to cloud.
• Explore and understand system data schemas; suggest meaningful dashboards that highlight system correlations and generate insights for decision-making.
• Conduct knowledge transfer, training sessions, and user enablement workshops on dashboarding and data analytics.
• Mentor and upskill junior resources assigned to work alongside.
• Create and deliver comprehensive documentation for all developed dashboards.

Required Skills & Qualifications

• Minimum 4 years of relevant IT experience in Dashboarding and Data Analytics.
• Strong expertise in Power BI (On-Premise & Cloud), Qlik, DAX programming, and MS Excel.
• Proven experience working with on-premise Power BI Reporting Server, SharePoint Lists (as data source), and SQL Server.
• Hands-on knowledge of Power BI cloud transition strategies, including Gateway setup and Direct Query configurations.
• Strong understanding of database structures, data modeling, and schema design.
• Excellent analytical and problem-solving skills with the ability to generate insights from complex data.
• Strong communication skills to interact with management, technical teams, and vendors.
• Ability to deliver knowledge sharing sessions and provide guidance to other resources.
• Documentation skills for creating end-to-end technical and functional dashboards references.

Preferred Attributes

• Proactive approach to exploring systems and identifying new opportunities for analytics.
• Strong business acumen to understand management requirements and translate them into effective dashboards.
• Ability to manage multiple dashboards/projects simultaneously and deliver within timelines.

How to Apply: Interested candidates may share their updated resume at -

Job Type: Contract

Contract length: 6 months

• 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

Stage de 6 mois à pourvoir à partir de septembre 2025.

L'activité Parfums Beauté affirme sa singularité à travers une promesse : celle de révéler la beauté de chaque femme dans ce qu'elle a de plus singulier à travers son parfum, son maquillage et ses produits de soin. Cette philosophie est largement héritée de Mademoiselle Chanel, qui a toujours œuvré pour affirmer sa propre indépendance et celle de toutes les femmes.

Au sein du pôle IA à la Direction des Systèmes d’Information de CHANEL Parfums et Beauté, vous participerez à des projets innovants en exploitant des techniques avancées de machine learning et d'analyse de données pour optimiser nos processus et améliorer nos prises de décision.

Les outils d’IA sont de plus en plus utilisés les directions business. Le pôle IA a pour vocation à : accompagner les équipes business sur le choix de leurs fournisseurs; développer, le cas échéant, une solution interne. C’est sur ce deuxième axe que portera le stage.

Dans ce cadre, vos missions principales sont :

• Collecter, nettoyer et préparer les données nécessaires pour l'analyse.
• Développer et mettre en œuvre des modèles de machine learning pour résoudre des problèmes spécifiques en collaboration avec les autres data scientists de l’équipe.
• Évaluer la performance des modèles et itérer pour améliorer leur précision.
• Communiquer de manière claire les résultats et les recommandations aux parties prenantes.
• Participer à la veille technologique.

• Étudiant(e) en data science, informatique, statistiques ou domaine similaire.
• Maîtrise de Python, R, SQL et des bibliothèques de machine learning.
• Expérience en analyse de données et visualisation (Pandas, Matplotlib).
• Capacité à résoudre des problèmes et à travailler en équipe.
• Intérêt pour l'IA et les applications industrielles.
• Proactive et autonome.

• Tout au long de votre expérience, vous serez immergé.e dans un environnement dynamique, innovant et apprenant ; où la création et l’humain sont au cœur des préoccupations.
• Vous rejoignez une activité singulière, aux méthodes et procédés uniques - qu’ils soient créatifs, de développement ou d’industrialisation - et évoluez aux côtés d’une diversité d’experts aux savoir-faire reconnus.
• Afin de faciliter votre intégration, vous bénéficierez d’un parcours d’intégration complet incluant notamment une formation à l’histoire et aux produits de CHANEL Parfums Beauté.

Poste basé à Neuilly-sur-Seine.

De la singularité de chacun naît la richesse de nos équipes. CHANEL valorise la diversité sous toutes ses formes.

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

• Lead implementation of Data Catalogue / Data Dictionary, capturing core data elements, metadata, and lineage.
• Review and sanitize transaction codes mapping across multiple systems, ensuring compliance with regulatory and business standards.
• Assess and optimize current data warehouse, marts, and reporting pipelines for performance, scalability, and redundancy.
• Define and implement best practices in data modeling, indexing, storage, and governance.
• Liaise with business and technical teams to ensure alignment and adoption.
• Provide documentation, training, and stakeholder communication.

• 8–10 years in data governance, data architecture, and metadata management.
• Strong knowledge of data catalog tools (Collibra, Alation, Informatica, or open-source equivalents).
• Expertise in data warehousing and BI (ETL, dimensional modeling, SQL performance tuning).
• Familiarity with banking and regulatory data requirements (IFRS, AML/KYC, CBO reporting).
• Strong stakeholder engagement and communication skills.