101 Data Specialist jobs in Saudi Arabia

Master-Works is seeking a results-driven Data Management Specialist with over 5 years of experience to join our innovative team. This role focuses on enhancing our data management initiatives to ensure data integrity, accessibility, and compliance across various projects. The ideal candidate will possess a strong understanding of data management processes and technologies while demonstrating the ability to collaborate effectively with diverse teams.

Key Responsibilities:

• Implement and maintain data management processes that support organizational objectives and data governance standards.
• Perform data quality assessments, identifying issues and recommending solutions for improvement.
• Collaborate with cross-functional teams to define and document data requirements and policies.
• Develop training materials and conduct workshops to promote data management best practices.
• Utilize data management technologies to automate processes and enhance data workflows.
• Monitor data management performance metrics, preparing reports and presenting findings to stakeholders.
• Stay updated with industry trends and advancements to continually improve data management practices.

• Bachelor's degree in a relevant field such as Information Technology, Data Science, or Computer Science.
• 5+ years of experience in data management or a related role.
• Strong understanding of data governance, data quality frameworks, and best practices.
• Proficiency in SQL and experience with data management tools (e.g., data integration, ETL tools).
• Experience with data profiling and data quality assessment methodologies.
• Exceptional analytical and problem-solving skills with strong attention to detail.
• Excellent communication and interpersonal skills for effective stakeholder engagement.
• Ability to work both independently and collaboratively in a fast-paced environment.

Master-Works is seeking a results-driven Data Management Specialist with over 5 years of experience to join our innovative team. This role focuses on enhancing our data management initiatives to ensure data integrity, accessibility, and compliance across various projects. The ideal candidate will possess a strong understanding of data management processes and technologies while demonstrating the ability to collaborate effectively with diverse teams.

Key Responsibilities:

• Implement and maintain data management processes that support organizational objectives and data governance standards.
• Perform data quality assessments, identifying issues and recommending solutions for improvement.
• Collaborate with cross-functional teams to define and document data requirements and policies.
• Develop training materials and conduct workshops to promote data management best practices.
• Utilize data management technologies to automate processes and enhance data workflows.
• Monitor data management performance metrics, preparing reports and presenting findings to stakeholders.
• Stay updated with industry trends and advancements to continually improve data management practices.

Requirements

• Bachelor's degree in a relevant field such as Information Technology, Data Science, or Computer Science.
• 5+ years of experience in data management or a related role.
• Strong understanding of data governance, data quality frameworks, and best practices.
• Proficiency in SQL and experience with data management tools (e.g., data integration, ETL tools).
• Experience with data profiling and data quality assessment methodologies.
• Exceptional analytical and problem-solving skills with strong attention to detail.
• Excellent communication and interpersonal skills for effective stakeholder engagement.
• Ability to work both independently and collaboratively in a fast-paced environment.

Master-Works is seeking a results-driven Data Management Specialist with over 5 years of experience to join our innovative team. This role focuses on enhancing our data management initiatives to ensure data integrity, accessibility, and compliance across various projects. The ideal candidate will possess a strong understanding of data management processes and technologies while demonstrating the ability to collaborate effectively with diverse teams.

Key Responsibilities:

• Implement and maintain data management processes that support organizational objectives and data governance standards.
• Perform data quality assessments, identifying issues and recommending solutions for improvement.
• Collaborate with cross-functional teams to define and document data requirements and policies.
• Develop training materials and conduct workshops to promote data management best practices.
• Utilize data management technologies to automate processes and enhance data workflows.
• Monitor data management performance metrics, preparing reports and presenting findings to stakeholders.
• Stay updated with industry trends and advancements to continually improve data management practices.

Requirements

• Bachelor's degree in a relevant field such as Information Technology, Data Science, or Computer Science.
• 5+ years of experience in data management or a related role.
• Strong understanding of data governance, data quality frameworks, and best practices.
• Proficiency in SQL and experience with data management tools (e.g., data integration, ETL tools).
• Experience with data profiling and data quality assessment methodologies.
• Exceptional analytical and problem-solving skills with strong attention to detail.
• Excellent communication and interpersonal skills for effective stakeholder engagement.
• Ability to work both independently and collaboratively in a fast-paced environment.

Job Summary:

To implement all activities related to data management in addition to contributing to setting the frameworks for data management programs, as well as building and developing business intelligence and analytics based on approved policies and standards in this regard.

Role & Responsibilities:

1. Contribute to preparing a general framework for a proposal on how to implement data access programs including an explanation of implementation priorities, the timeframe for each program, and the connections between them, in addition to the gains and value of each program shall be determined.
2. Implement data management programs according to the set timeframes and implementation priorities follows the set objectives in this regard. Progress reports shall be submitted to the direct supervisor.
3. Classify data and divide it into defined levels determining how to deal with it based on measuring the level of effect resulting from unauthorized disclosure of data or its content.
4. Contribute to setting mechanisms related to ensuring data quality through a set of periodic operations that process the data and ensure its validity, accuracy and completeness to meet operational requirements.
5. Contribute to preparing a special manual that explains data description, components and relationships, as well as procedures for maintaining, accessing, transferring and organizing data. This shall be carried out in coordination with the concerned parties at the office.
6. Provide support in carrying out investigations related to non-compliance with data management systems, regulations and policies, and prepare reports in this regard and submit them to the direct supervisor.
7. Provide suggestions related to the performance measurement indicators of the data access program to measure the progress levels of these programs, while ensuring to prepare these suggestions follows approved international standards and regulations in this regard.
8. Coordinate with the concerned parties within all K.A.CARE sectors and departments, receive reports issued by them which are related to the open data programs, and examine these reports and submit suggestions concerning them to the direct supervisor.
9. Identify the most recent adopted methods and regulations in the field of data management and enhancement of data quality, carry out standard comparisons with concerned parties, and provide appropriate suggestions on how to implement them within K.A.CARE wherever possible.
10. Carry out any other related tasks or responsibilities as requested by the direct supervisor.

Job Requirements:

Bachelor's Degree in Business Administration or Information Technology or an equivalent field.

Open to candidates with 0 to 7 years of relevant experience in data management or data analytics.

Professional English language level.

UAQ is currently seeking a highly skilled and experienced Digitalization & Data Management Specialist– Operations In-Charge to join our team.

About the Role

The Digitalization & Data Management Digitalization & Specialist – Operations In-Charge will be responsible for leading MASAR Destination's operational digitalization agenda, ensuring that all operational domains benefit from integrated, accurate, and actionable data. This role ensures that data-driven processes, platforms, and digital tools support operational excellence, predictive performance management, and seamless stakeholder coordination across MASAR's smart city environment.

Reporting to the COO, the role acts as the operational custodian of data governance, digital integration, and performance analytics, ensuring that technology adoption translates into measurable improvements in facility management, infrastructure performance, and visitor experience.

Responsibilities:

1. Digitalization Strategy & Data Frameworks

• Translate the COO's digital transformation vision into a comprehensive operational digitalization roadmap, focusing on data integration across utilities, facilities, transport, and security domains.
• Develop and maintain a unified data management framework that consolidates inputs from IoT devices, SCADA systems, UAQ's EAM software, and external software.
• Implement strong data governance standards covering accuracy, consistency, security, and accessibility of operational data.

2. Operational Data Integration & Process Automation

• Oversee the integration of real-time monitoring systems (BMS, SCADA, IoT, security, utilities) into a centralized data platform to ensure holistic situational awareness.
• Lead the digitalization of daily workflows across facility management, transportation, utilities, and retail operations to reduce manual dependencies and enhance efficiency.
• Build digital platforms to do-away with spreadsheets, as requested, using Microsoft Lists & Power App.
• Standardize reporting dashboards for all operational domains, ensuring consistent KPIs and visibility for leadership decision-making.

3. Data Analytics & Performance Optimization

• Deploy predictive analytics, AI, and machine learning models to forecast demand, prevent downtime, and optimize resource allocation.
• Ensure data-driven insights are embedded into daily operational decision-making, maintenance planning, and emergency response protocols.
• Conduct root-cause analysis and performance reviews based on real-time and historical data to recommend continuous improvements.

4. Cross-Stakeholder Coordination & Digital Enablement

• Serve as the focal point for operational data across internal departments, contractors, governmental agencies, and technology providers.
• Provide digital enablement support to facility management contractors, ensuring they align with MASAR's standardized data submission and reporting requirements.
• Coordinate with IT, security, and infrastructure teams to maintain interoperability of digital systems and protect data integrity.

5. Knowledge Development & Operational Training

• Build a culture of data-driven decision-making within operational teams through training, workshops, and knowledge transfer.
• Develop manuals, guidelines, and data-sharing protocols to support consistent adoption of digital processes across all stakeholders.
• Mentor staff in using analytics platforms and performance dashboards for real-time monitoring and operational efficiency.

Qualifications
:

• Bachelor or Master's degree in Engineering, or Data Science, Computer Science, or any related technical field.
• Minimum 5 years of experience in operational data management, smart city operations, or infrastructure digitalization.
• Demonstrated ability to manage digital platforms and ensure effective data integration across multiple operational systems.
• Fluent in Arabic and English

Pay range and compensation package

• Pay range or salary or compensation

Qualifications

• Candidate must have experience in the area of Big Data Analytics with 7-8 years of experience.
• Proficient with the Big Data Engineering Stack preferably on Cloudera, Hive, Spark, Iceberg.
• Sound knowledge of the Big Data Frameworks like Map Reduce, Hive, Spark.
• Knowledge of the open-source scheduling Frameworks like Apache Airflow and Apache NiFi.
• Hands on experience in SQL, Python, Java and one database like Oracle, Teradata or MySQL is required.
• Sound Understanding of the Linux fundamentals and shell scripting is required.
• Familiarity with Kafka, MinIO, Golden Gate is preferred.
• Experience with Telco will be considered as plus.
• Bachelor's degree in Computer Science, Data Science, or a related field.
• 7+ years of experience working with big data technologies (Hadoop, Spark, Kafka).

Job Description

• Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.
• Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.
• Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.
• Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.
• Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.
• Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.
• Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).

Job Requirements

• A degree in computer science, data science or any other relevant field. A master's is a plus
• 4 years of experience in relevant fields
• Data Engineering & Querying: Strong proficiency in SQL
• Visualization & Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.
• Data Wrangling: Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.
• Cloud & Analytics Tools: Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.

• Working on collecting information and examining it to ensure its accuracy.
• Entering data and customer account information from documents and completing this process within the previously specified deadline.
• Ensuring no mistakes, shortcomings, or conflicts occur in the data entry process, in addition to ensuring the accuracy of the obtained results.
• Collecting and sorting data sources in order to prepare and process these sources for the task of entering them into the computer.

Required Qualifications and Experience:

• High school diploma or higher.
• No previous experience required, proficiency in using computers, especially Microsoft Office programs, is preferred.
• Communication and interpersonal skills.
• Possessing tact and a presentable appearance.
• Preference for individuals with disabilities.

Responsibilities

• Developing algorithms and statistical models, and conducting appropriate statistical analysis, and interpretation of the results.
• Prepare reports, charts, and graphs to share results and analytics, and their use in decision-making.
• Analyze the facility's data processing and collection processes, identify improvement opportunities, and deliver Advice on the course of action of research staff.
• Use of query analysis and reporting tools.
• Ensure the effective implementation and modification of customer database systems.
• Participate in the development and implementation of customer database management policies and standards to monitor the planning, coordination, and implementation of security measures to protect customer databases.Quality and efficient data management.
• Design and run a program to monitor client and server database performance and usage; hardware, software and manual procedures to verify the integrity of customer database systems; customer data, and create, maintain, and manage entity data repositories and scripts; Collaborate with end users to identify needs and opportunities for design improvement
• Data manipulation, stored procedures, views, functions, and reports and models.

• Ability to analyze data
• The ability to identify weaknesses
• The ability to build performance indicators
• Ability to prepare reports
• Responsibility
• Team work
• Adhere to directions
• Commitment to the administrative hierarchy organizational