12 Data Analysis jobs in Oman

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 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 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

Employment Type: Full-time

We are seeking a motivated and qualified NRW Hydraulic & Data Analyst Engineer to join our dynamic team in Muscat. This role offers an exciting opportunity to work on critical water network management projects, contribute to reducing Non-Revenue Water (NRW), and support sustainable water resource management in Oman.

• Provide engineering input for hydraulic studies and network optimization.
• Perform detailed water balance calculations and analyze network performance (IWA methodology preferred).
• Monitor and evaluate water network parameters, including: pressure, TDF, MNF, flow rates, consumption patterns, losses/NRW, leak detection indicators, reservoir/tank levels, and valve/pressure operations.
• Support the planning, implementation, and monitoring of NRW reduction strategies.
• Utilize Netbase (or similar software), Microsoft Excel, and Power BI (advantage) for data analysis, modeling, and reporting.
• Collaborate with field teams to validate data, investigate abnormalities, and coordinate surveys/trial pits.
• Prepare and deliver technical reports, dashboards, and presentations for management, clients, and stakeholders.

• Bachelor’s degree in Civil, Hydraulic, Water, or related Engineering discipline.
• Proven experience in NRW projects, water loss management, and hydraulic analysis.
• Strong knowledge of water balance methodology.
• Proficiency in Excel; hands-on experience with Netbase or similar water management software; knowledge of Power BI is a plus.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and teamwork abilities.
• Ability to work full-time in Muscat, Oman.

Please send your CV and cover letter to with the subject line: NRW Hydraulic & Data Analyst Engineer – Muscat

Employment Type: Full-time

We are seeking a motivated and qualified NRW Hydraulic & Data Analyst Engineer to join our dynamic team in Muscat. This role offers an exciting opportunity to work on critical water network management projects, contribute to reducing Non-Revenue Water (NRW), and support sustainable water resource management in Oman.

• Provide engineering input for hydraulic studies and network optimization.
• Perform detailed water balance calculations and analyze network performance (IWA methodology preferred).
• Monitor and evaluate water network parameters, including: pressure, TDF, MNF, flow rates, consumption patterns, losses/NRW, leak detection indicators, reservoir/tank levels, and valve/pressure operations.
• Support the planning, implementation, and monitoring of NRW reduction strategies.
• Utilize Netbase (or similar software), Microsoft Excel, and Power BI (advantage) for data analysis, modeling, and reporting.
• Collaborate with field teams to validate data, investigate abnormalities, and coordinate surveys/trial pits.
• Prepare and deliver technical reports, dashboards, and presentations for management, clients, and stakeholders.

• Bachelor's degree in Civil, Hydraulic, Water, or related Engineering discipline.
• Proven experience in NRW projects, water loss management, and hydraulic analysis.
• Strong knowledge of water balance methodology.
• Proficiency in Excel; hands-on experience with Netbase or similar water management software; knowledge of Power BI is a plus.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and teamwork abilities.
• Ability to work full-time in Muscat, Oman.

Please send your CV and cover letter to with the subject line: NRW Hydraulic & Data Analyst Engineer - Muscat

Role: Data Steward / Data Governance Specialist

Location: Oman (Onsite)

Type: Contract (3 months – extendable to 6 months)

Experience: 5 – 7 yrs

Immediate joiners preferred

Job Description:

Understanding of Dynamics 365.

Work with business and technical teams to map legacy data structures to ERP data model.

Design and implement master data governance processes (customer, vendor, product, asset, finance, HR data, etc.).

Partner with ERP functional leads to ensure data supports business process design and reporting.

Act as the SME for data-related issues and decision-making throughout the program.

Support end users on data management best practices and ERP data standards.

Cross-Functional Alignment: Act as the bridge between business users, ERP functional consultants, technical teams, and data governance groups, ensuring alignment on data requirements, standards, and priorities.

Business Stakeholder Engagement: Work closely with finance, supply chain, HR, procurement, sales, and operations leaders to capture data requirements, resolve conflicts, and ensure that data structures align with business process needs.

Data Ownership & Stewardship: Facilitate workshops to define data owners and data stewards within each functional area. Establish RACI (Responsible, Accountable, Consulted, Informed) for data-related tasks to avoid ambiguity.

Decision-Making Authority: Serve as the subject matter authority for data-related decision-making during design sessions, workshops, and steering committee meetings, ensuring data standards are not compromised for short-term process workarounds.

Conflict Resolution: Mediate and resolve data conflicts between business units (e.g., inconsistent vendor naming conventions, duplicate customer records, differing chart of accounts structures) to achieve a standardized data model.

Continuous Engagement: Establish regular touchpoints (steering committee updates, data quality dashboards, issue logs) to keep stakeholders informed about data readiness progress, risks, and mitigation strategies.

External Partner Coordination: Collaborate with ERP vendors, system integrators, and data migration partners to ensure deliverables are aligned with business expectations and contractual requirements.

Role: Data Steward / Data Governance Specialist

Location: Oman (Onsite)

Type: Contract (3 months - extendable to 6 months)

Experience: 5 - 7 yrs

Immediate joiners preferred

Job Description:

Understanding of Dynamics 365.

Work with business and technical teams to map legacy data structures to ERP data model.

Design and implement master data governance processes (customer, vendor, product, asset, finance, HR data, etc.).

Partner with ERP functional leads to ensure data supports business process design and reporting.

Act as the SME for data-related issues and decision-making throughout the program.

Support end users on data management best practices and ERP data standards.

Cross-Functional Alignment: Act as the bridge between business users, ERP functional consultants, technical teams, and data governance groups, ensuring alignment on data requirements, standards, and priorities.

Business Stakeholder Engagement: Work closely with finance, supply chain, HR, procurement, sales, and operations leaders to capture data requirements, resolve conflicts, and ensure that data structures align with business process needs.

Data Ownership & Stewardship: Facilitate workshops to define data owners and data stewards within each functional area. Establish RACI (Responsible, Accountable, Consulted, Informed) for data-related tasks to avoid ambiguity.

Decision-Making Authority: Serve as the subject matter authority for data-related decision-making during design sessions, workshops, and steering committee meetings, ensuring data standards are not compromised for short-term process workarounds.

Conflict Resolution: Mediate and resolve data conflicts between business units (e.g., inconsistent vendor naming conventions, duplicate customer records, differing chart of accounts structures) to achieve a standardized data model.

Continuous Engagement: Establish regular touchpoints (steering committee updates, data quality dashboards, issue logs) to keep stakeholders informed about data readiness progress, risks, and mitigation strategies.

External Partner Coordination: Collaborate with ERP vendors, system integrators, and data migration partners to ensure deliverables are aligned with business expectations and contractual requirements.