7 Data Analysis jobs in Oman
Retail Data Analysis(KA)(A140940)
Posted 4 days ago
Job Viewed
Job Description
- Responsible for the sales data analysis of KA channels
- Through data analysis, identify the business issues of the KA channel in various countries and communicate with distributor and sales to find solutions.
- Responsible for coordinating the access of various products to KA channels in different countries and following up on sales performance.
- More than three years of working experience in the mobile phone or consumer electronics industry, with experience in Qatar or Oman preferred.
- Have experience in sales management of KA channels and familiar with the business model of KA channels.
- Proficient in using Excel software for data analysis.
Retail Data Analysis(KA)(A140940)
Posted today
Job Viewed
Job Description
1.Responsible for the sales data analysis of KA channels
2.Through data analysis, identify the business issues of the KA channel in various countries and communicate with distributor and sales to find solutions.
3.Responsible for coordinating the access of various products to KA channels in different countries and following up on sales performance.
1.More than three years of working experience in the mobile phone or consumer electronics industry, with experience in Qatar or Oman preferred.
2.Have experience in sales management of KA channels and familiar with the business model of KA channels.
3.Proficient in using Excel software for data analysis.
Data Analytics
Posted today
Job Viewed
Job Description
Data Analytics & Dashboard Specialist
Reports To:
Project Manager / Data Analytics Team Lead
Key Responsibilities:
- Develop new dashboards and insights based on management requirements.
- Enhance existing dashboards with improved visuals and functionalities.
- Research and implement new visualization techniques and innovative reporting methods.
- Perform data analysis and correlation across multiple systems to provide actionable insights.
- Assist in migrating Power BI on-premise reports to Power BI Cloud as part of cloud transition.
- Support areas such as Gateway installation and Direct Query configurations.
- Collaborate with vendors to understand database structures and integrate data sources.
- Deliver approximately 25 dashboards covering 5–6 systems/applications.
- Conduct training sessions, knowledge transfer, and user upskilling.
- Prepare and hand over full documentation of all developed dashboards.
Required Skills and Experience:
- Minimum 4 years of relevant IT experience in Data Analytics and Dashboard development.
- Strong expertise in Power BI (on-premise & cloud) and Qlik.
- Proficiency in DAX programming and MS Excel.
- Hands-on experience with SQL Server and SharePoint Lists (on-premise).
- Familiarity with Power BI Cloud transition, Direct Query, and Gateway setup.
- Ability to analyze data models, database structures, and provide meaningful insights.
- Strong problem-solving and analytical skills.
- Excellent communication skills and ability to train and mentor others.
Preferred Qualifications:
- Experience working in government or public sector analytics projects.
- Familiarity with Oman government standards
- SME-level expertise in dashboarding tools and analytics.
Expected Deliverables:
- ~25 Dashboards developed and integrated from 5–6 systems.
- Migration of selected Power BI reports from on-premise to cloud.
- Knowledge transfer sessions conducted and documented.
- Technical documentation of dashboards delivered
Job Type: Full-time
Pay: RO RO per month
Application Deadline: 25/08/2025
Expected Start Date: 27/08/2025
Data & Analytics Engineer
Posted today
Job Viewed
Job Description
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 ?
Dashboard & Data Analytics Specialist
Posted today
Job Viewed
Job Description
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
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Posted 12 days ago
Job Viewed
Job Description
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.
What your day will look like- 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.
#J-18808-LjbffrPython and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Posted 12 days ago
Job Viewed
Job Description
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 public cloud, data science, AI, engineering innovation and IoT. Our customers include world-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, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.
As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache Superset, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
What your day will look like- 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
- Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud
- Hands-on experience with machine learning libraries, or tools
- 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.
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