12 Analytics Manager jobs in Oman

• Manage a distributed team of engineers and its MLOps/Analytics portfolio
• Organize and lead the team's processes in order to help it achieve its objectives
• Conduct one-on-one meetings with team members
• Identify and measure team health indicators
• Interact with a vibrant community
• Review code produced by other engineers
• Attend conferences to represent Canonical and its MLOps solutions
• Mentor and grow your direct reports, helping them achieve their professional goals
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• A proven track record of professional experience of software delivery
• Professional python development experience, preferably with a track record in open source
• A proven understanding of the machine learning space, its challenges and opportunities to improve
• Experience designing and implementing MLOps solutions
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events
  
  

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with building machine learning models
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Experience in the Linux and open-source software world
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on a distributed team on an open source project even if that is community open source contributions.
• Demonstrated track record of Open Source contributions
  
  

• Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
• 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 from your team and others
• 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

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

• 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.

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

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

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
  
  

Roles & Responsibilities:

Project Manager

Should have at least 5+ years of experience in implementation project management within the financial services domain, specifically related to DATA PLATFORM implementation.

Determine the project approach, responsibilities, and schedule aligning with the overall program.

Ensure communication of all requirements, work plans, management plans, and changes to commitments to all affected team members.

Create a one-page summary for management outlining project status updates and validate it with all relevant stakeholders to highlight activities, roles, and timelines.

Organize and lead regular project meetings to discuss progress, challenges, and next steps.

Engage business, IT, Operations, or other internal stakeholders and DATA PLATFORM SI partners in detailed business requirement discussions, leveraging existing BRDs related to DATA PLATFORM capabilities such as marketing, sales, onboarding, and servicing.

Define quality criteria for project activities, including entry/exit criteria; validate compliance and alert management to any exceptions.

Track project deliverables against the baseline scope and report variances.

Proactively identify and report potential risks, inter-dependencies, or prerequisites that could impact project timelines or outcomes, developing mitigation strategies.

Facilitate communication and collaboration among various teams, including business, IT, Operations, DATA PLATFORM vendors, and SI partners.

Technology Architect

10+ years’ experience in architecting and implementing highly integrated DATA PLATFORMS, including data migration, event streaming, and real-time integration.

Experience in delivering gap-fit analysis documents by understanding business needs and translating requirements into solution design documents covering Banking Data Model, Logical Architecture, Physical Architecture, Integration, Deployment, and Infrastructure Architecture.

Experience in designing Unified Service Desktop hosting multiple banking applications and supporting front-end integration.

Experience in DATA PLATFORM implementation, upgrades, and involvement in planning, analysis, design, build, testing, deployment, and post-go-live support.

Define technical requirements, including performance, availability, scalability, maintainability, and observability, ensuring alignment with business objectives and IT strategy.

Engage with senior client stakeholders across IT and business domains to understand and meet their requirements.

Develop bank-specific DATA PLATFORM implementation architecture principles and communicate these to tech leads and SI partners.

Decide on the technology stack for implementation, ensuring it meets organizational needs.

Guide the creation and review of target technical architecture blueprints to ensure adherence to guidelines and project objectives.

Understand the capabilities and limitations of packaged software used in the project.

Determine the number of staging environments needed for development, testing, training, staging, production, and support.

Collaborate with stakeholders such as solution architects, SMEs, and delivery leads to review estimates and plans.

Perform hardware and network sizing and capacity planning as needed.

Conduct security risk assessments and develop security controls to support regulations.

Lead performance engineering activities, including modeling, testing, and tuning.

Oversee architecture and infrastructure analysis to ensure solutions meet requirements with minimal customization.

Coordinate with support teams on production support strategies, backups, disaster recovery, and performance.

Tech Lead

Extensive DATA PLATFORM knowledge with 8+ years’ experience in data mapping and migration, ensuring data integrity.

Oversee delivery of technical components, including SaaS/PaaS solutions, ensuring adherence to project standards.

Manage customization of the DATA PLATFORM to fit business processes and review implications.

Ensure APIs connect DATA PLATFORM with other applications and services securely.

Implement security measures to protect data and ensure compliance.

Design comprehensive testing strategies covering unit, integration, and UAT testing.

Manage technical resources and ensure effective utilization.

Own the design, build, and testing of architecture components, obtaining stakeholder buy-in.

Design and manage PoCs to validate architecture solutions.

Coordinate deployment activities and ensure smooth transition to operations.

Ensure adherence to Managed Delivery principles.

Provide technical leadership, mentoring, and issue resolution.

Coordinate sign-offs for production releases and system handovers post-Go-live.

Roles & Responsibilities

• Project Manager : Should have at least 5+ years of experience in implementation project management in financial services domain, relevant to DATA PLATFORM implementation in financial services.
• Determine the project approach, responsibilities, and schedule aligning with the overall program.
• Ensure that all requirements, work plan, management plans and changes to commitment are communicated to all affected team members.
• Create a one-page summary for management outlining project status updates and validate it with all relevant stakeholders to highlight their activities and capture their roles and timelines.
• Organize and lead regular project meetings to discuss progress, challenges, and next steps.
• Engage business, IT, Operations or any other internal stakeholder and DATA PLATFORM SI partner in detailed business requirement discussions leveraging the existing BRDs available with the Bank for each of the DATA PLATFORM capabilities i.e. marketing, sales, onboarding and servicing.
• Define quality criteria for project activities including entry/exit criteria; validate compliance to each of the criteria, alert on exceptions that are made if any, to management.
• Track project deliverables vis-à-vis baseline scope and report variances if any.
• Proactively identify and report potential risks, inter-dependencies (within the DATA PLATFORM implementation program or any other project ongoing in the bank) or prerequisites that could impact the project timeline or outcomes, develop and implement strategies to mitigate identified risks, ensuring minimal disruption.
• Facilitate communication and collaboration among various teams, including business, IT, Operations or any other internal stakeholder, DATA PLATFORM vendor and SI partner.