15 Data Professional jobs in Oman

Key Responsibilities:

• Design and develop databases and interactive dashboards to support decision-making.
• Implement Business Intelligence (BI) solutions and integrate with various data sources.
• Prepare digital performance reports, including digital transformation KPIs and service quality indicators.
• Support predictive analytics and contribute to AI-related projects.

Qualifications:

• Bachelor's degree in Data Science, Information Systems, or related field.
• At least 4 years of hands-on experience with BI tools (Power BI, Tableau, etc.).
• Proficiency in data analysis languages such as SQL, Python, or R.

Job Type: Contract

Contract length: 12 months

Pay: RO RO1, per month

Application Question(s):

• What is your salary expectation ?
• What is your nationality ?

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

Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.

We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.

Location: This role can be filled in European, Middle East, African or any American region / time zone.

What your day will look like

• You will lead a team building scalable data solutions for Kubernetes and cloud machines
• You will hire, coach, mentor, provide feedback, and lead your team by example
• You will demonstrate sound engineering skill by directly contributing code when needed
• Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
• Advocate modern, agile software development practices
• Develop and evangelize great engineering and organizational practices
• Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
• Grow a healthy, collaborative engineering culture aligned with the company's values.
• Be an active part of the leadership team and collaborate with other leaders in the organization
• Work from home with global travel twice yearly, for internal events of one or two weeks duration
  
  

• A software engineering background, preferably with Python and Golang experience
• Experience running in production and at scale, preferably Big Data or MySQL
• Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
• Proven ability to build high-quality, open-source software
• Proven to drive good engineering practices around performance and quality
• An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
• The ambition to build products that improve how people operate software and infrastructure everywhere
• Love developing and growing people and have a track record of doing it
• Knowledgeable and passionate about software development
  
  

• Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
• Prior experience working with open source and a will to build products with the community
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at 'sprints'
• Priority Pass for travel and travel upgrades for long haul company events
  
  

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

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

• 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.

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.

Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Hands-on experience with machine learning libraries, or tools
• Proven track record of building highly automated machine learning solutions for the cloud
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.