Governance & Compliance Sr. Specialist

The Senior Specialist – Business Support Applications Operations at Qiddiya Investment Company plays a critical role in ensuring the effective operation and management of business support applications across the organization. This position involves troubleshooting, optimizing, and maintaining applications that support various business functions, driving efficiency and enhancing user experiences. Key Responsibilities Ensure the availability, stability, and performance of business support applications related to asset management. Monitor application health, perform root cause analysis, and resolve incidents and service requests in line with SLAs. Coordinate effectively with internal IT teams and external vendors for timely issue resolution and system maintenance. Support and maintain IT applications for physical asset management (e.g., EAM Maximo, Yardi, Experience Systems). Ensure data integrity and system reliability across all asset lifecycle management tools. Provide technical expertise and operational support to enhance application performance and user satisfaction. Manage application changes, patches, and releases in coordination with Change Advisory Boards (CAB). Conduct impact analysis, testing, and validation for new releases or system enhancements. Document changes and ensure compliance with IT governance policies. Act as the primary liaison between business units (e.g., asset management, operations) and IT for all matters related to business support applications. Gather and translate business requirements into technical solutions and actionable plans. Provide guidance and support to end-users and ensure alignment with business needs. Requirements Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field. 3+ years of experience in IT application operations or support. At least 3 years in a senior or specialist role, with hands-on experience managing asset management applications Strong understanding of asset management systems (e.g., Maximo, Yardi). Proficient in application support processes, incident management, and service operations. Knowledge of ITIL practices (certification is a plus) Benefits Comprehensive benefits package

Master-Works is seeking a dedicated and detail-oriented Data Analyst to join our dynamic team. In this role, you will utilize your analytical skills to transform data into actionable insights that drive business performance and foster innovation. Your expertise will be instrumental in helping us to understand our operations, improve processes, and support strategic decision-making. Key Responsibilities: Collect, clean, and organize data from multiple sources to evaluate business performance and trends. Develop analytical reports and dashboards that present findings to stakeholders effectively. Work alongside various departments to understand their data needs and provide tailored analytical solutions. Perform statistical analyses and build predictive models to forecast future trends. Identify opportunities for process improvements based on data insights. Present findings and recommendations in a clear and compelling manner to non-technical audiences. Ensure data governance and compliance by maintaining data integrity and security. Requirements Bachelor's degree in Data Science, Business Analytics, or a related field. Proven experience as a Data Analyst or in a similar role. Nationality: Saudi. Expertise in SQL and experience with data visualization tools (e.g., Tableau, Power BI). Strong analytical and problem-solving skills with a keen attention to detail. Proficiency in statistical analysis and experience working with large datasets. Effective communication skills, with the ability to present complex information clearly. A collaborative mindset with the ability to work well in a team-oriented environment.

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you are looking for , webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.  webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.  Key Responsibilities: Analyze and mining business data to identify patterns and correlations among the various data points. Map and trace data within the enterprise data framework in order to solve a given business or system problem. Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions. Perform statistical analysis of the enterprise data. Extract existing data to manipulate/calculate/format into useful presentations. Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies . Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse. Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision. Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards. Must support innovations by actively keeping technical and professional business knowledge current on emerging technology and Data Trends which may fit with enterprise needs. Must be able to research and accurately articulate benefits and goals of these technologies. Requirements Bachelors Degree in in Computer Science, Management Information Systems, or a related field. Minimum of 4 years expiriance Overall Experience in information systems; background experience in ETL Processes, Application Development, Report Development, and Data Warehouse Projects.   Skills: Proficient in English written and verbal communication skills Demonstrates excellent judgment and decision making skills Demonstrated time management and priority setting skills Excellent organizational skills Possesses strong product knowledge Possesses strong technical aptitude

At Sumerge, our customers are at the core of everything we do. We build solutions around their needs promoting effectiveness and efficiency using the latest technological innovations. As part of the project delivery team you will work hand-in-hand with our customers, engineers and sales teams bridging the technical and business worlds to deliver the outmost value to our customers. Our ideal business analysts create distinct value for our customers, they re-conceptualize issues to discover practical solutions to hard problems, utilizing their deep technical, business and product understanding to solve our customers’ biggest challenges allowing them to grow and get the most of our solutions. Responsibilities: Use Business Analysis techniques to capture business and end user requirements Act as the product owner Work with the technical team to develop business and technical requirements Analyze and model the business domain to create a complete picture of workflows and technical requirements fulfilled by the software Serve as a liaison between stakeholders and users Ensure that programs meet business/user requirements by inspecting and monitoring software development progress Define the business problem and primary objectives of new projects Identify and validate the key business requirements Determine approaches which will improve the business, usability, performance and integrity of the software Coaches members on achieving goals and developing necessary skills   Requirements Qualifications: Bachelor's degree of Computer Science/ Engineering 5 + years of relevant experience (Software development/ Business Analysis) Preference will be given to Saudi nationals in line with Saudization initiatives

We are seeking a Senior Manager of Data Analytics with deep experience in data science, data warehousing and BI. This role will lead a team of data analysts and analytics engineers, shaping the direction of our data strategy and ensuring that business decisions are powered by reliable, scalable data infrastructure. You’ll be instrumental in driving data maturity across the company — balancing quick business wins with long-term architectural investments. Responsibilities Lead and mentor a cross-functional team of analytics engineers, data engineers and data scientist Oversee the development of the data warehouse and transformation layer (e.g., dbt) Define the vision for how data is structured, accessed, and used across the organization, ensuring alignment with business objectives Partner with product, engineering, and business stakeholders to deliver impactful insights and scalable data products Own key initiatives such as self-serve analytics, metric standardization, and data quality frameworks Establish best practices for data governance, reporting, and visualization Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization Build operational excellence within the data team through process improvements, best practices, and training Contribute to hiring and team growth by attracting and developing top data analytics talent Requirements 7+ years of experience in data science, analytics engineering, BI or related roles, including 2+ years of leadership Strong command of SQL, data modeling, and data architecture  Experience building and managing data platforms using dbt, modern warehouses (Snowflake, BigQuery, etc.), and visualization tools Proven track record of delivering high-quality analytical work in fast-paced environments Ability to balance strategic thinking with technical execution Strong communication and stakeholder management skills, with the ability to translate technical complexity into business value Proficiency working in Arabic is a plus Experience in ecommerce or fintech Knowledge of advanced analytics techniques, including machine learning, predictive modeling or AI Experience working in the GCC

 Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better. Data Engineer Roles and Responsibilities: 1. Data Collection and Integration: Data engineers collect data from various sources, including databases, APIs, external data providers, and streaming sources. They must design and implement efficient data pipelines to ensure a smooth flow of information into the data warehouse or storage system. 2. Data Storage and Management: Once the data is collected, data engineers are responsible for its storage and management. This involves choosing appropriate database systems, optimizing data schemas, and ensuring data quality and integrity. They also must consider scalability and performance to handle large volumes of data. 3. ETL (Extract, Transform, Load) Processes: ETL is a fundamental process in data engineering. Data engineers design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. 4. Big Data Technologies: In today's data landscape, dealing with big data is the norm rather than the exception. Data engineers work with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets. 5. NoSQL Databases: In addition to traditional relational databases, data engineers often work with NoSQL databases like MongoDB and Cassandra, which are well-suited for handling unstructured or semi-structured data. 6. Cloud Computing: Cloud platforms like AWS, Azure, and Google Cloud have become the backbone of modern data infrastructure. Data engineers leverage these platforms to build scalable and cost-effective data solutions. 7. Distributed Systems: Data engineering often involves distributed systems architecture to handle huge data volumes and ensure fault tolerance. Understanding how distributed systems work is essential for data engineers. 8. Streaming Data: Real-time data processing is crucial in many industries. Data engineers work with streaming technologies like Apache Kafka to handle and analyze data as it flows in Requirements Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better. preferably 5+ years of experience.