business analyst

data analyst

senior data analyst

associate data analyst

associate data engineer

data quality analyst

Confidential Government

<div>
 
 
 Job Objective:
 
 
 
 Contribute to the execution of data policies and support the implementation of data lifecycle management activities in alignment with NDMO requirements.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Apply data management policies and related procedures in daily operations.
 </li>
 <li>
 Execute data lifecycle processes from definition to disposal according to approved frameworks.
 </li>
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 Manage and document data sources and metadata to ensure consistency and reliability.
 </li>
 <li>
 Collaborate with data teams to design and update data models and core definitions.
 </li>
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 Develop and maintain dashboards and operational reports to support data-driven decision-making.
 </li>
 <li>
 Apply data quality standards within ETL/ELT processes and monitor ongoing data quality.
 </li>
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 Implement data classification and access control policies for sensitive data.
 </li>
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 Support compliance requirements and prepare periodic compliance reports.
 </li>
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 Conduct regular data validation and consistency checks across systems.
 </li>
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 Support data integration and data exchange between systems.
 </li>
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 Stay informed about regulatory changes and update operational practices accordingly.
 </li>
 <li>
 Document data correction and continuous improvement procedures.
 </li>
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 Provide analytical insights and data-driven recommendations to business teams.
 </li>
 </ul>
 
 
 Requirements and Skills:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in IT, Data Science, Statistics, Business Administration, or a related field.
 </li>
 <li>
 4+ years of hands-on experience in data management, data quality, or data analysis.
 </li>
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 Proficiency in SQL, ETL/ELT, and BI tools (Power BI, Tableau, Looker).
 </li>
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 Solid knowledge of Data Governance, Data Modeling, Data Quality, Data Architecture, Data Security, and Privacy.
 </li>
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 Strong analytical and problem-solving skills with a focus on actionable outcomes.
 </li>
 <li>
 Excellent communication skills in English and Arabic, and ability to work independently or within cross-functional teams.
 </li>
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 Familiarity with the NDMO framework and related governance and compliance requirements.
 </li>
 </ul>
 
 
</div>

Data Professional

Social Development Bank (SDB)

<div>
 
 
 Data Operations Specialist
 
 
 
 
 
 
 
 Job Purpose
 
 
 
 The Data Operations Specialist is responsible for managing the data dictionary, metadata, reference data, and master data across the Bank. The role coordinates with data stewards to ensure alignment with business requirements and provides advisory support on maintaining and managing these data assets to ensure accuracy, quality, and proper utilization. Additionally, the specialist supports data quality initiatives, defines quality metrics, and ensures accurate implementation of data quality standards.
 
 
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 
 
 
 
 
 
 
 1. Policies, Processes, and Procedures
 
 
 
 &bull; Ensure work is performed in line with approved policies, processes, procedures, and instructions.
 
 
 &bull; Review continuous improvement opportunities for systems, workflows, and practices based on leading practices.
 
 
 &bull; Facilitate knowledge transfer to new employees and reporting staff.
 
 
 &bull; Follow up on escalated issues to ensure timely and effective closure.
 
 
 
 
 
 
 2. Data Operations Management
 
 
 
 &bull; Conduct first- and second-level data analysis to identify potential data quality issues.
 
 
 &bull; Develop KPIs for monitoring data quality across departments.
 
 
 &bull; Prepare validation checklists to ensure data and processes align with policies.
 
 
 &bull; Collaborate with business owners to define data quality rules and exceptions.
 
 
 &bull; Participate in root cause analysis and document recommendations.
 
 
 &bull; Review data profiling controls and results.
 
 
 &bull; Conduct awareness sessions on data quality best practices.
 
 
 &bull; Provide recommendations for resolving data quality issues.
 
 
 &bull; Oversee the preparation and maintenance of data quality reports.
 
 
 &bull; Support quality assurance functions and data quality management.
 
 
 &bull; Contribute to employee development in data quality practices.
 
 
 &bull; Define and review protocols, procedures, and quality standards supporting the bank&rsquo;s data strategy.
 
 
 &bull; Introduce simplification and automation opportunities for data quality assurance.
 
 
 &bull; Work with data engineering teams to prevent and resolve data issues.
 
 
 &bull; Promote data quality awareness across business units.
 
 
 &bull; Monitor and report key data quality performance indicators.
 
 
 
 
 
 
 3. Metadata &amp; Master Data Management
 
 
 
 &bull; Maintain the metadata dictionary and define sources, attributes, and priorities.
 
 
 &bull; Develop metadata governance frameworks including classification and preservation.
 
 
 &bull; Support data stewards in managing the metadata lifecycle.
 
 
 &bull; Collaborate with IT to configure and implement the data dictionary tool.
 
 
 &bull; Verify completeness and accuracy of metadata.
 
 
 &bull; Create dashboards and indicators to monitor metadata management.
 
 
 &bull; Support creation and maintenance of master data and ensure consistency across systems.
 
 
 &bull; Work with data engineers on master data models.
 
 
 &bull; Support reference and master data governance plans.
 
 
 &bull; Manage master data tools and provide technical support.
 
 
 &bull; Train users on master data processes and promote compliance with governance policies.
 
 
 &bull; Identify improvement opportunities in data management practices.
 
 
 
 
 
 
 4. Additional Duties
 
 
 
 &bull; Support colleagues across the bank when needed.
 
 
 &bull; Provide inputs for reporting related to operations, achievements, and decision-making.
 
 
 &bull; Perform other tasks as required and when needed.
 
 
 &bull; Support capability development and knowledge transfer.
 
 
 &bull; Monitor compliance with data management and personal data protection regulations.
 
 
 &bull; Implement the data management program in alignment with relevant laws and policies.
 
 
 &bull; Manage open data requests and support the open data program.
 
 
 
 
 
 
 Qualifications and Requirements
 
 
 
 Experience: +4 years of experience in Data Management, Data Analysis &amp; Reporting, or related fields.
 
 
 Education: Bachelor&rsquo;s degree in Information Systems, Data Science, Computer Science, or related field
 
 
 
 
 
 
 Required Competencies
 
 
 
 &bull; Information Systems Knowledge &mdash; Proficient
 
 
 &bull; Data Management &mdash; Advanced
 
 
 &bull; Data Analysis &amp; Reporting &mdash; Proficient
 
 
 &bull; Performance Monitoring &mdash; Advanced
 
 
 &bull; IT Change Management &mdash; Proficient
 
 
 
</div>

Data Operations Specialist

Saudi Credit Bureau - SIMAH

<div>
 
 
 JOB PURPOSE / ROLE:
 
 
 <ul>
 <li>
 To fully and effectively enable and manage the Data Quality Unit within the Department within SIMAH. The purpose of this role also covers various areas related to data quality such as data acquisition, analysis, accuracy, integrity, conformity, completeness, uniqueness, timeliness and consistency.
 </li>
 </ul>
 
 
 
 
 
 AREAS OF RESPONSIBILITY:
 
 
 
 
 
 
 
 Key Responsibilities :
 
 
 
 
 Strategic
 
 
 <ul>
 <li>
 Manage the development of SIMAH&rsquo;s Product &amp; Data Management strategic and leadership.
 </li>
 <li>
 Manage and improve data collection systems, data analytics and other strategies that optimize the data quality efficiency
 </li>
 </ul>
 
 
 
 
 
 Policies, Processes &amp; Procedures
 
 
 <ul>
 <li>
 Follows all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.
 </li>
 </ul>
 
 
 
 
 
 Day- to-day operations
 
 
 <ul>
 <li>
 Follows the day-to-day operations related to own job to ensure continuity of work.
 </li>
 <li>
 Fully and effectively, manage the Data Quality Unit within the Department within SIMAH. The purpose of this role also covers various areas related to data quality such as data acquisition, analysis, accuracy, integrity, conformity, completeness, uniqueness, timeliness and consistency. Also, develops and maintains all data quality related polices processes and procedures.
 </li>
 <li>
 Manage the data within SIMAH is at the top quality levels and all the data from members/clients are uploaded accurately and updated according to the required specifications.
 </li>
 <li>
 Manage with leadership and other key stakeholders to drive adoption of good data management practice across the business.
 </li>
 <li>
 Ensure the implementation of data quality standards in SIMAH
 </li>
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 Manage the Capture business requirements for data quality functionality that can be deployed to improve business efficiency. This will include assisting in the creation and delivery of a data quality systems roadmap to enable the business to maximize the potential of the use of data across the business.
 </li>
 <li>
 Manage the identification of opportunities for improvement of systems, processes and practices related to data quality taking into account &lsquo;international best practice&rsquo;.
 </li>
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 Manage the improvement of business processes to achieve cost reduction and productivity improvement and reduction in turnaround times.
 </li>
 <li>
 Work with management to prioritize business and information needs
 </li>
 </ul>
 
 
 
 
 
 Continuous Improvement
 
 
 <ul>
 <li>
 Manage overseeing the overall Data Quality activities within SIMAH and continuing the progress within the department.
 </li>
 <li>
 Manage periodically the Subordinates relation processes and ensure the complete processes.
 </li>
 </ul>
 
 
 
 
 
 People Management
 
 
 <ul>
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 Ensures subordinates have clear objectives, regular performance feedback sessions, formal annual appraisals, and individual development plans, with particular emphasis on the development of talented Saudi national staff.
 </li>
 </ul>
 
 
 Reporting
 
 
 <ul>
 <li>
 Manage in the preparation of timely and accurate reports of SIMAH to meet company and department requirements, policies, and standards.
 </li>
 </ul>
 
 
 Safety, Quality &amp; Environment
 
 
 
 
 
 <ul>
 <li>
 Complies with all relevant safety, quality and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.
 </li>
 </ul>
 
 
 Related Assignments
 
 
 <ul>
 <li>
 Performs other related duties or assignments as directed
 </li>
 </ul>
 
 
 
 
 
 
 
 
 QUALIFICATIONS &amp; EXPERIENCE:
 
 
 
 
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor degree in IT, IS, MIS, Electronic Business, Data Analytics or any in other relevant discipline.
 </li>
 </ul>
 
 
 Minimum Experience:
 
 
 <ul>
 <li>
 8 - 10 years of relevant experience.
 </li>
 </ul>
 
 
 Language:
 
 
 <ul>
 <li>
 English: Advanced
 </li>
 </ul>
 
 
 
 
 
 SOFT SKILLS &amp; TECHNICAL KNOWLEDGE AREAS:
 
 
 <ul>
 <li>
 Achieving Results
 </li>
 <li>
 Adaptability &amp; improvements.
 </li>
 <li>
 Commitment &amp; motivation
 </li>
 <li>
 Technical Excellence
 </li>
 </ul>
 
 
 
 
 
 CORE COMPETENCIES:
 
 
 <ul>
 <li>
 
 
 Communication &amp; Openness:
 
 
 
 Openly &amp; proactively sharing relevant knowledge, information &amp; understanding with others. Using written &amp; spoken word to share or collect information &amp; exchange ideas
 
 </li>
 <li>
 
 
 Integrity, Trust &amp; Ethics:
 
 
 
 Behaving in an honest, fair &amp; ethical manner. Showing consistency with SIMAH&rsquo;s values in words &amp; actions.
 
 </li>
 <li>
 
 
 Teamworking &amp; Cooperation:
 
 
 
 Working cooperatively with others from across departments towards the achievement of SIMAH&rsquo;s strategic goals.
 
 </li>
 </ul>
 
 
</div>

Senior Data Quality Manger

Qiam real estate

Data Analyst &ndash; Full-time | Riyadh, Saudi ArabiaThe Data Analyst will be responsible for collecting, processing, and analyzing large data sets to provide actionable insights that drive business decisions. This role involves collaborating with cross-functional teams to understand data needs, create analytical reports, and support organizational strategy through data-driven insights.Key Responsibilities:<ul><li>Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.</li><li>Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights.</li><li>Design and maintain dashboards and reports using visualization tools (e.g., Power BI, Tableau).</li><li>Work closely with business stakeholders to translate data findings into strategic recommendations.</li><li>Support business decisions through statistical analysis, forecasting, and modeling.</li><li>Build and maintain data pipelines and contribute to data governance and quality improvement initiatives.</li><li>Collaborate with Data Engineers and Data Scientists to ensure proper data architecture and integration.</li><li>Document analytical methodologies, data sources, and business rules for future reference.</li><li>Develop automated reports and performance tracking metrics to enhance operational efficiency.</li><li>Ensure compliance with company data policies and data privacy regulations.</li></ul>Skills &amp; Competencies:<ul><li>Strong proficiency in SQL and experience with relational databases (SQL Server, Oracle, PostgreSQL).</li><li>Hands-on experience with data visualization tools such as Power BI, Tableau, or Looker.</li><li>Proficiency in Python or R for data analysis and automation.</li><li>Strong understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>Analytical thinking with excellent problem-solving and communication skills.</li><li>Familiarity with cloud data platforms (Azure, AWS, or Google Cloud) is a plus.</li><li>Solid knowledge of statistics and experience applying statistical techniques in business contexts.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.</li><li>Minimum of 5 years of professional experience as a Data Analyst or in a similar role.</li><li>Proven experience handling complex datasets and delivering analytical insights that support decision-making.</li></ul>Preferred:<ul><li>Experience in data governance and data quality management.</li><li>Exposure to machine learning or predictive analytics concepts.</li><li>Certification in Power BI, Tableau, or Azure Data Analyst is an advantage.</li></ul>&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;&#1575;&#1604;&#1585;&#1575;&#1578;&#1576; &#1575;&#1604;&#1605;&#1583;&#1601;&#1608;&#1593;: &#65020;&#1633;&#1637;&#1644;&#1632;&#1632;&#1632;&#1643;&#1632;&#1632;&nbsp;&#1604;&#1603;&#1604; &#1588;&#1607;&#1585;&#1587;&#1572;&#1575;&#1604; (&#1571;&#1587;&#1574;&#1604;&#1577;) &#1591;&#1604;&#1576; &#1575;&#1604;&#1578;&#1602;&#1583;&#1605;:<ul><li>?What is your current salary</li><li>?What is your expected salary</li></ul>

محلل بيانات | Data Analyst

Senior Data Scientist &ndash; Full-time | Riyadh, Saudi ArabiaOverview: The Senior Data Scientist is responsible for collecting, processing, and analyzing large datasets to provide actionable insights that support data-driven decision-making. The role requires close collaboration with cross-functional teams to understand data needs, generate analytical reports, and enhance organizational strategy.Key Responsibilities<ul><li>Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.</li><li>Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights.</li><li>Design and maintain dashboards and reports using tools such as Power BI, Tableau, etc.</li><li>Work with stakeholders to translate analytical findings into strategic recommendations.</li><li>Support business decisions using statistical analysis, forecasting, and modeling.</li><li>Build and maintain data pipelines and contribute to data governance and quality improvements.</li><li>Collaborate with Data Engineers and Data Scientists to ensure proper data architecture and integration.</li><li>Document methodologies, data sources, and business rules for future reference.</li><li>Develop automated reports and performance metrics to enhance operational efficiency.</li><li>Ensure compliance with data privacy regulations and internal data policies.</li></ul>Skills &amp; Competencies<ul><li>Strong proficiency in SQL and experience with relational databases (SQL Server, Oracle, PostgreSQL).</li><li>Hands-on experience with data visualization tools (Power BI, Tableau, Looker).</li><li>Proficiency in Python or R for analysis and automation.</li><li>Strong understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Familiarity with cloud platforms (Azure, AWS, Google Cloud) is a plus.</li><li>Solid knowledge of statistics and application of statistical techniques in business contexts.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Mathematics, or related field.</li><li>Minimum 5 years experience as a Data Analyst or similar role.</li><li>Proven experience handling complex datasets and delivering insights that support decision-making.</li></ul>Preferred<ul><li>Experience in data governance and data quality management.</li><li>Exposure to machine learning or predictive analytics.</li><li>Certifications such as Power BI, Tableau, or Azure Data Analyst are an advantage.</li></ul>&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;&#1575;&#1604;&#1585;&#1575;&#1578;&#1576; &#1575;&#1604;&#1605;&#1583;&#1601;&#1608;&#1593;: &#65020;&#1634;&#1632;&#1644;&#1632;&#1632;&#1632;&#1643;&#1632;&#1632;&nbsp;&#1604;&#1603;&#1604; &#1588;&#1607;&#1585;&#1587;&#1572;&#1575;&#1604; (&#1571;&#1587;&#1574;&#1604;&#1577;) &#1591;&#1604;&#1576; &#1575;&#1604;&#1578;&#1602;&#1583;&#1605;:<ul><li>?What is your current salary</li><li>?What is your expected salary</li></ul>

Senior Data Scientist

ريناد المجد

Joining [RMG Co.] means becoming part of a diverse and inclusive team dedicated to delivering high-quality solutions and exceeding client expectations. With a focus on innovation, integrity, and excellence, we empower our employees to unleash their full potential and achieve professional growth and success.Our company is looking for a talented and experienced Business Analyst specializing in IT to join our dynamic team.Job Responsibilities:Define configuration specifications and business analysis requirementsPerform quality assuranceDefine reporting and alerting requirementsOwn and develop relationship with partners, working with them to optimize and enhance our integration Help design, document and maintain system processesReport on common sources of technical issues or questions and make recommendations to product team Communicate key insights and findings to product teamConstantly be on the lookout for ways to improve monitoring, discover issues and deliver better value to the customerJob Requirements:kindly note the the position is Hybrid on Egypt - cairo Previous experience in Business / Systems AnalysisA degree in IT / Computer ScienceAt Least 2 years of Experience as a business analyst.Proven experience in eliciting requirementsExperience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools.Solid experience in writing SQL queriesBasic knowledge in generating process documentation.Strong written and verbal communication skills including technical writing skills.<ul><li>Proficiency in Python or C#.</li><li>Experience with FastAPI or ASP.NET Core.</li><li>Strong experience building and maintaining RESTful APIs.</li><li>Deep knowledge of SQL and NoSQL DBs (Postgres, MongoDB, etc.).</li><li>Experience implementing SSO/OAuth2.0 and RBAC.</li><li>Familiarity with Git and common version control workflows. Backend Developer</li></ul>Nice-to-have<ul><li>Experience with Kafka or RabbitMQ (event-driven architectures).</li><li>Experience with containerization (Docker) and orchestration (K8s).</li><li>Experience working in Agile (SCRUM/Kanban).</li><li>Prior exposure to Agentic AI projects or video-conferencing features.</li></ul>*Job Type: Full-timePay: From &#65020;1.00 per monthAbility to commute/relocate:<ul><li>&#1575;&#1604;&#1585;&#1610;&#1575;&#1590;: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your notice period in days ?</li><li>What is your salary expectation ?</li><li>the position is Hybrid on Cairo is it suitable for you ?</li></ul>Experience:<ul><li>Business analyst: 2 years (Required)</li></ul>

Business analyst

Bayut KSA - بيوت السعودية

<div>
 
 Bayut is the number one property portal in the Kingdom, connecting millions of users across the country. We are committed to delivering the best online search experience. As part of Dubizzle Group, Bayut is alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 
 
 
 
 The Associate Data Analyst
 
 supports the business by analyzing large datasets, building BI dashboards, defining KPIs, and delivering accurate reports using SQL, Python, Excel, and visualization tools. The role involves validating data, supporting cross-project analysis, running A/B tests, and ensuring high data quality to guide decision-making. Ideal candidates have 1 year of data analysis experience, strong technical skills, and thrive in a fast-paced, analytical environment.
 
 
 
 
 KEY RESPONSIBILITIES
 
 
 
 ● Accessing data, constructing and manipulating large datasets to support planned analyses, using SQL, Python and similar tools
 
 
 ● Designing and developing BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organizational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas
 
 
 ● Help with defining KPIs metrics and drive the data governance through standardisation and communication
 
 
 ● Extract data and share it with stakeholders using Dashboards/Reports or Google Sheets
 
 
 ● Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements.
 
 
 ● Adapt at queries, report writing and presenting findings
 
 
 ● Research and validation of entity data using appropriate internal and external data sources
 
 
 ● Liaising and analysis across projects within the Reference Data environment
 
 
 ● Analysis, specification, testing and implementation of interfaces, workflow solutions, and reference data solutions - An example would be regression testing systems ahead of upgrades
 
 
 ● Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of on-going strategies
 
 
 ● Responsible for data quality and timely delivery of reports that make common business sense
 
 
 ● Understand business model and user funnels to identify required step changes for product growth
 
 
 ● Plan, execute, and analyze A/B test experiments to inform product strategy
 
 
 
 
 Requirements
 
 
 
 
 
 Qualifications
 
 
 
 ● Bachelor's degree in statistics, mathematics, computer science, or related field.
 
 
 Masters is a plus.
 
 
 ● 1 year experience working as Data Analyst
 
 
 ● Proficient in SQL
 
 
 ● Good with Microsoft Excel
 
 
 ● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
 
 
 ● Excellent verbal and written communication.
 
 
 ● Strong problem solving skills.
 
 
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 High-performing and fast-paced work environment
 </li>
 <li>
 Comprehensive Health Insurance
 </li>
 <li>
 Rewards &amp; Recognition
 </li>
 <li>
 Learning &amp; Development
 
 </li>
 </ul>
 
 Bayut is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 #KSABayut
 
</div>

Associate Data Analyst

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