Governance & Compliance Sr. Specialist

Qiddiya Investment Company, a leader in the development of a transformative entertainment and cultural destination in Saudi Arabia, is seeking a Senior Manager for Interior Design specializing in Residential projects. This pivotal role will focus on creating exceptional living environments that harmonize functionality, aesthetics, and comfort within our residential developments. As the Manager for Data Analyst, you will lead data collection, analysis, and reporting efforts to support strategic decision-making across the residential development portfolio. Your ability to build structured data environments, apply analytical models, and extract meaningful insights will be key to optimizing design, planning, and delivery strategies. This role blends technical expertise with a strong understanding of the residential sector to ensure data accuracy, usability, and impact across all stages of the development lifecycle. Responsibilities: Collecting and scraping data online from websites, databases, and government platforms. Organizing and cleaning data gathered online, from internal presentations, reports, and team members. Develop and maintain structured, accurate, and detailed information databases for ongoing use. Create graphs, dashboards, and charts using large data sets to support internal presentations and strategic discussions. Support the development of a long-term data strategy, including data structuring, storage, and access recommendations. Conduct exploratory data analysis to identify trends, gaps, and patterns. Collaborate with team members to define data needs and reporting requirements. Summarize findings and provide clear data-driven insights to support business and operational decisions. Ensure data accuracy, integrity, and consistency across different reporting tools and platforms. Assist in automating data collection and reporting processes where applicable. Requirements Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field; a master’s degree is a plus. Minimum of 6–8 years of experience in data analysis, demonstrating a strong track record of managing complex datasets, developing analytical models, and delivering actionable insights. Advanced proficiency in Microsoft Excel, including pivot tables, data models, and complex formulas. Strong knowledge of Python and/or R for statistical analysis, modeling, and automation. Skilled in data visualization using tools such as Power BI, Tableau, or similar platforms. Proven experience working with large data sets, preferably within the real estate or residential development sector. Knowledge of residential development workflows and terminology is highly desirable Benefits Join Qiddiya's team and enjoy a dynamic work environment that offers growth opportunities, a collaborative culture, and the chance to make a significant impact as our future Playmaker !

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.

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.

Job Purpose: The data analyst is responsible for analyzing data trends, identifying key insights, and providing actionable recommendations to improve business performance. This role involves gathering, cleaning, and interpreting data from various sources to support strategic decision-making across the organization. Responsibilities: Create comprehensive reports and data visualizations to communicate findings effectively and support business goals. Identify opportunities for process improvements and implement data collection systems and strategies that optimize statistical efficiency and data quality. Perform detailed data analysis using statistical methods to identify trends, patterns, and actionable insights that drive business growth. Conduct ad-hoc analysis to support business queries and provide data-driven recommendations to stakeholders. Develop, maintain, and automate data dashboards and reporting tools to monitor Objectives and Key Results (OKRs) and support strategic decision-making. Collect, organize, and validate data from various sources, including internal databases, external data providers, and third-party applications. Collaborate with cross-functional teams to understand data requirements and provide relevant insights that support business initiatives. Ensure data integrity and accuracy by conducting regular audits and implementing data cleaning processes. Ensure compliance with data governance policies and best practices for data management, maintaining high standards of data quality and security. Train end-users and stakeholders on new reports, dashboards, and data visualization tools to enhance data literacy and utilization. Requirements Bachelor's degree in mathematics, statistics, computer science, or a related field. Experience with data visualization tools such as Tableau, Power BI, Metabase, Looker or similar. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, or similar. Strong analytical and problem-solving skills. Excellent attention to detail. Ability to interpret and communicate data findings effectively. Experience in collecting, analyzing, and interpreting large datasets. Ability to work in a collaborative team environment.

CBS is seeking a highly experienced feasibility study specialist to join our diverse team. In this key role, you will be responsible for conducting comprehensive economic and technical analyses of potential projects and providing recommendations based on feasibility study results. You will collaborate with cross-functional teams to analyze market practices, assess risks, and identify investment opportunities. You will also play a vital role in preparing reports and delivering presentations to stakeholders, contributing to informed decision-making. If you have a strong background in feasibility studies and are passionate about achieving business success, we would love to hear from you. Responsibilities Conduct detailed feasibility studies for new and proposed projects. Analyze economic, social, and technological factors affecting projects. Prepare and present comprehensive reports containing clear recommendations. Collaborate with various teams to gather necessary data and conduct market analysis. Assess risks and profitability, and provide innovative solutions. Communicate effectively with different departments to enhance understanding of feasibility and impact. Requirements Bachelor’s degree in Business Administration, Economics, or equivalent. Minimum of 5 years of experience in feasibility studies or financial analysis. Strong analytical and research skills with the ability to present complex information clearly. Experience with statistical analysis tools and relevant software. Ability to work under pressure and meet deadlines. Excellent communication skills and the ability to work in a team. Professional certifications in financial analysis or feasibility studies are preferred.