[ksa] data & ai – senior consultant / associate manager

business analyst

senior data engineer

[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

senior business analyst

senior data modeler consultant Jobs in Riyadh

senior data modeler consultant

senior data analyst

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
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 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
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 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 
 Join the ride!
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Mid/Senior - Data Scientist

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 <ul>
 <li>
 The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
 </li>
 <li>
 The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
 </li>
 <li>
 Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow
 
 
 </li>
 </ul>
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Lead End-to-End Data Science Delivery
 </li>
 <li>
 Developing, implementing and maintaining databases and data collection systems
 </li>
 <li>
 Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
 </li>
 <li>
 Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
 </li>
 <li>
 Performing statistical analysis to understand and interpret data insights
 </li>
 <li>
 Applying data mining techniques to identify patterns, trends, and relationships in large datasets
 </li>
 <li>
 Building predictive models and machine learning algorithms to forecast future outcomes
 </li>
 <li>
 Creating clear data visualizations and reports to communicate findings to stakeholders
 </li>
 <li>
 Working with cross-functional teams to understand business needs and provide data-driven solutions
 </li>
 <li>
 Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
 </li>
 <li>
 Ensuring data security and compliance with relevant regulations
 </li>
 <li>
 Drive experimentation, model versioning, automated retraining, and continuous improvement.
 </li>
 <li>
 Translate Business Needs into AI/Analytics Solutions
 </li>
 <li>
 Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
 </li>
 <li>
 Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
 </li>
 <li>
 Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
 </li>
 <li>
 Industrialize AI/ML Models (ML Ops &amp; Architecture)
 </li>
 <li>
 Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
 </li>
 <li>
 Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
 </li>
 <li>
 Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
 </li>
 <li>
 Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
 </li>
 <li>
 Responsible AI, Quality &amp; Governance
 </li>
 <li>
 Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
 </li>
 <li>
 Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
 </li>
 <li>
 Ensure transparency, explainability, and continuous model governance across production and enterprise environments
 </li>
 <li>
 Stakeholder Management &amp; Value Realization
 </li>
 <li>
 Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
 </li>
 <li>
 Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 
 Minimum Qualification, Experience and Core Competencies:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 Good to Have Capabilities
 
 
 <ul>
 <li>
 Minimum Experience:
 </li>
 <li>
 6+ years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
 </li>
 <li>
 Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
 </li>
 <li>
 Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) &ndash; Microsoft AI Factory
 </li>
 <li>
 Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
 </li>
 <li>
 Machine Learning &amp; Advanced Analytics
 </li>
 <ul>
 <li>
 Hands-on experience developing and deploying machine learning models, including time-series forecasting, predictive modeling, and optimization use cases
 </li>
 <li>
 Strong understanding of model performance, validation, stability, and business impact
 </li>
 </ul>
 <li>
 Generative AI &amp; AI Agents
 </li>
 <ul>
 <li>
 Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent-based workflows
 </li>
 <li>
 Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
 </li>
 </ul>
 </ul>
 Preferred Experience &amp; Platforms
 
 
 <ul>
 <li>
 Data Engineering (IT + OT)
 </li>
 <li>
 Experience designing and maintaining data pipelines across IT and OT environments
 </li>
 <li>
 Exposure to sensor data, streaming / real-time data processing, and industrial data sources
 </li>
 <li>
 Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
 </li>
 <li>
 MLOps / AgentOps
 </li>
 <li>
 Experience in model deployment and lifecycle management, including:
 </li>
 <ul>
 <li>
 Transition from model development to production and scale
 </li>
 <li>
 Monitoring, retraining, versioning, and drift management
 </li>
 </ul>
 <li>
 Familiarity with automation and operationalization of ML/AI workloads
 </li>
 </ul>
 <ul>
 <li>
 Cloud &amp; Analytics Platforms
 </li>
 <li>
 Experience working with enterprise cloud platforms, preferably:
 </li>
 <ul>
 <li>
 Microsoft Azure Data Platform
 </li>
 <li>
 Databricks AI Platform
 </li>
 <li>
 Microsoft AI Foundry / Microsoft AI Factory
 </li>
 </ul>
 <li>
 Understanding of cloud-native architectures for scalable analytics and AI solutions
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
 </li>
 <li>
 Adoption &amp; Business Impact: Value realized, user adoption, integration success.
 </li>
 <li>
 Delivery Velocity: Timeliness of development cycles and deployment readiness.
 </li>
 <li>
 Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.
 </li>
 </ul>
</div>

Lead Specialist, Data Science & Analytics II

Boston Consulting Group (BCG)

<div>
 
 
 Who We Are
 
 
 
 
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 
 
 
 What You'll Do
 
 
 
 
 
 
 As a Senior Analyst within BCG&rsquo;s Corporate Finance &amp; Strategy practice (CFS) and its Center for CFO Excellence (CFOx) team, you will work in a growing global team, delivering value to clients in all aspects of CFO related products and opportunities, from value creation strategy to performance management, digital finance and lean/agile working culture in finance.
 
 
 
 
 
 This would entail issues such as defining the role of the finance organization, transforming the finance function to be efficient &amp; effective, control finance costs, ability to steer and make relevant decisions, enablement of value creation and the facilitation of corporate planning decisions, including measures to align corporate, financial and investor strategies
 
 
 
 
 
 
 You are good at
 
 
 
 
 
 <ul>
 <li>
 
 Candidate should have experience and/or knowledge related to at least one of the following areas: finance organization (including shared services), finance transformation, external and internal reporting, corporate governance, performance management, planning, budgeting and target setting, corporate risk management or similar.
 
 </li>
 <li>
 
 The Senior Analyst is expected to be familiar with financial and non-financial benchmarking analyses, including analyses regarding profitability, capital structure, liquidity, and cash flow performance. The candidate should have deep end to end expertise in at least 2 finance process towers such as Record to Report, Order to Cash, Procure to Pay, Financial Planning &amp; Analysis, Cash &amp; Banking / Treasury, Payroll, Fixed Assets, etc.
 
 </li>
 </ul>
 
 
 
 
 As a Senior Analyst on the Client-Focused track, the candidate will be deployed in client engagements with core consulting teams to identify and analyze client challenges, provide customized knowledge of best-in-class practices as domain expert, develop solutions to address critical client issues, and chart a path for the client to constantly enhance performance. The candidate is expected to demonstrate excellent communication, high-quality analytical skills, and ability to deliver client ready analyses and insights.
 
 
 
 
 
 The candidate will work also with topic team to collaborate, develop and maintain new knowledge materials related to CFOx topic based on emerging trends and gaps identified by consulting teams. The candidate will collaborate across the topic to build tools, analyses and insights to drive new ways of thinking and problem-solving.
 
 
 
 
 
 
 What You'll Bring
 
 
 
 
 
 <ul>
 <li>
 Minimum of 5 years of years relevant work experience in at least one of the following areas: management consulting, financial management, controlling &amp; reporting, treasury, accounting &amp; audit, corporate development, corporate finance or other equivalent areas
 </li>
 <li>
 Master&rsquo;s degree in business administration, corporate finance, accounting, mathematics etc. with very good academic achievements and / or CPA with a management consulting background
 </li>
 <li>
 Confident client presence and relationship-building skills
 </li>
 <li>
 Effective written &amp; verbal communication
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Strong work ethic &amp; service-oriented mind-set
 </li>
 <li>
 Ability to multi-task in a fast-paced environment
 </li>
 <li>
 Strong interpersonal skills and credibility
 </li>
 <li>
 Collaborative team player and pro-active self-starter
 </li>
 <li>
 Ability to maintain discretion when needed
 </li>
 <li>
 Fluency in Arabic
 </li>
 </ul>
 
 
 
 
 
 Who You'll Work With
 
 
 
 
 
 
 
 Core Consulting Teams
 
 
 <ul>
 <li>
 Staffed as topic champion along with core consulting teams in client engagements by bringing in core domain expertise
 </li>
 <li>
 Own and drive successful completion of a module in client projects
 </li>
 <li>
 Provide insight generation expertise during team discussions to frame and structure client issues
 </li>
 <li>
 Provide problem solving and solutioning to drive improvements across client organization
 </li>
 <li>
 Enhance client deliverables by conducting high-quality analyses and applying business judgement
 </li>
 <li>
 Suggests alternative or additional analyses to expand original scope and provide new insight
 </li>
 <li>
 Demonstrate good slide-writing and story-lining skills to generate client ready materials
 </li>
 <li>
 Concise, synthesized and confident during discussions with project teams, running workshops with client teams and presenting analysis &amp; findings to clients
 </li>
 <li>
 Develop effective relationships with senior project leadership to build strong demand as a topic champion for repeat staffing
 </li>
 <li>
 Support proposal development by guiding consulting teams on transformation approach, BCG capabilities, past case credentials and experts
 </li>
 </ul>
 
 
 
 
 
 Topic Teams
 
 
 <ul>
 <li>
 Build and update new topic-related customized knowledge products
 </li>
 <li>
 Control the consistency of knowledge management databases
 </li>
 <li>
 Reviews knowledge products and ensures they are current and relevant and updates when appropriate
 </li>
 <li>
 Writes abstracts and indexes for projects and practice documents
 </li>
 <li>
 Assisting in Practice Area intellectual capital development projects (studies, articles and other publications.
 </li>
 </ul>
 
 
 
 
 
 Additional info
 
 
 
 
 
 
 The Vantage Team is a group of functional and/or industry experts leveraging deep domain knowledge to enable insight for case teams and clients. Vantage members are affiliated to BCG Practice Areas, plugged into the strategic agenda and building and deploying leading edge IP data tools/assets to deliver insight.
 
 
 
 
 
 BCG's Vantage Team members have the opportunity to be staffed on cases and help co-create insights with case teams and clients through expert perspectives on industry trends, delivery of proprietary data or tools in a particular function and complex research and analysis of market information. Vantage members also support the PA&rsquo;s business development and proposals and help to organize and codify the knowledge that enables BCG to deliver superior business value for its clients.
 
 
 
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
 
</div>

Senior Analyst - CFO Excellence

Mace

<div>
 Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join us on our journey.
 
 
 
 The Project
 
 
 
 This project offers the chance to join a talented Mace team in delivering an ultra-luxury residential and hospitality project with significant civils and infrastructure scope, collaborating with renowned architects and global consultants. The project involves extensive infrastructure, landscape and built assets, delivered rapidly through Mace as a hands-on Project Management Consultant with FIDIC Engineer responsibility. (New project blurb from Phil).
 
 
 
 You&rsquo;ll Be Responsible For
 
 
 
 <ul>
 <li>
 Structuring, transforming and maintaining the programme data layer ensuring all inputs from schedule, cost, progress and risk are integrated into a consistent, controlled and scalable dataset for reporting and analysis.
 </li>
 <li>
 Primarily accountable for how programme data is structured and processed, alongside supporting one or more scope areas with reporting adherence.
 </li>
 <li>
 Defining and maintaining structured data models across programme datasets.
 </li>
 <li>
 Building and maintaining controlled data ingestion and transformation pipelines.
 </li>
 <li>
 Integrating multiple data sources into a single consistent and construction coherent dataset.
 </li>
 <li>
 Ensuring scalability, performance and integrity of the reporting data layer.
 </li>
 <li>
 Monitoring data-driven KPIs as set by the PMO and Mace Leadership.
 </li>
 <li>
 Providing ad hoc data-driven resources for project team leadership and answering urgent client questions.
 
 
 </li>
 </ul>
 
 You&rsquo;ll Need To Have
 
 
 
 <ul>
 <li>
 Degree in related field, required for immigration and client approval.
 </li>
 <li>
 Relevant experience within construction, planning or project controls on major programmes.
 </li>
 <li>
 Strong experience in data engineer, data modelling and data transformation roles.
 </li>
 <li>
 Strong experience in structured datasets, with advanced Excel and Power Query capabilities. Familiarity with Power BI is advantageous.
 </li>
 <li>
 Familiarity with construction data-sets such as schedule, cost and risk data.
 </li>
 <li>
 Necessary visa criteria for the Kingdom of Saudi Arabia and have relevant work experience working on high valued projects/ programmes for a project management consultancy business, which are required for immigration and client approval.
 
 
 </li>
 </ul>
 
 Our values
 
 
 
 
 Safety first - Going home safe and well:
 
 We champion a safe, diverse and inclusive working environment, understanding the importance of wellbeing in every team.
 
 
 
 Client focus - Deliver on our promise:
 
 We own the quality of deliverables, strategic outcomes and build long term relationships with our clients.
 
 
 
 Integrity - Always do the right thing:
 
 We influence positive outcomes within our industry, while always aligning with our compliance obligations.
 
 
 
 Create opportunity - For our people to excel:
 
 We champion a continuous improvement culture throughout all activities, inspiring our people and teams to develop.
 
 
 Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all the criteria, please apply as you may still be the best candidate for this role or another role within our organisation.
 
 
 We are also open to discussing part time, flexible, and hybrid working options if suitable within the role
 
 
</div>

Senior Structured Data Engineering and Reporting Manager

Confidential

Job Overview A prominent and highly respected organisation is seeking a motivated and detail-oriented Real Estate Development Analyst to join their dynamic team. This is a Full-Time position based in the thriving city of Riyadh, Saudi Arabia. The successful candidate will play a crucial role in supporting the real estate development team by providing in-depth financial analysis, comprehensive market research, and meticulous due diligence for a variety of landmark projects. This is an excellent opportunity for a talented analyst to contribute to significant developments within one of the region's most exciting real estate markets. Responsibilities  <ul><li>Conducting detailed financial modelling and analysis for potential and existing real estate development projects, including cash flow projections, IRR, and NPV calculations.</li><li>Performing comprehensive market research to identify and evaluate new investment and development opportunities, analysing trends, competitor activity, and demographic data.</li><li>Assisting in the due diligence process for property acquisitions, which includes reviewing financial, legal, and operational documentation.</li><li>Preparing high-quality investment memorandums, presentations, and reports for senior management and external stakeholders.</li><li>Developing and maintaining sophisticated financial models to support strategic decision-making throughout the project lifecycle.</li><li>Collaborating closely with internal teams, including project management, legal, and finance, to ensure seamless project execution.</li><li>Assisting with the preparation of project budgets, forecasts, and performance monitoring against key metrics.</li></ul>Qualifications  <ul><li>A Bachelor's degree in Finance, Real Estate, Economics, or a related discipline. A Master’s degree or professional qualification (e.g., CFA, RICS) is highly desirable.</li><li>Proven experience in a real estate analysis, development, or investment role.</li><li>Advanced proficiency in Microsoft Excel and extensive experience in creating complex financial models from scratch.</li><li>A strong understanding of real estate investment principles, valuation techniques, and development processes.</li><li>Exceptional analytical, quantitative, and problem-solving skills with a high level of attention to detail.</li><li>Excellent written and verbal communication skills in English. Proficiency in Arabic would be a significant advantage.</li><li>Strong organisational skills with the ability to manage multiple tasks and meet tight deadlines in a fast-paced environment.</li><li>A proactive and commercially astute individual with a genuine passion for the real estate industry.</li></ul>

Real Estate Development Analyst

Fakeeh Care Group

<div>
 
 Description
 
 
 
 Key Responsibilities and Duties: 1. Provide first- and second-level technical support for hardware, software, and network issues. 2. Respond to service requests via phone, email, ticketing system, or in-person. 3. Troubleshoot and support desktop and laptop computers, mobile devices, printers, and other peripherals. 4. Install, configure, and maintain software, hardware, and system updates. 5. Assist in IT asset tracking, inventory management, and equipment setup. 6. Document technical issues and solutions in the service desk knowledge base. 7. Escalate complex issues to senior IT staff or specialized teams as needed. 8. Assist with onboarding and offboarding tasks, including hardware deployment and account setup. 9. Continuously monitor the performance and availability of systems and networks to ensure efficient and effective operation. 10. Plan, test, and implement upgrades for information systems. 11. Integrate new software applications into existing systems. 12. Oversee and supervise system administrators, coordinating with different entities to ensure seamless operations. 13. Ensure new applications are integrated and deployed efficiently across the business. 14. Maintain up-to-date technical documentation, ensuring it is organized and accessible for future reference. 15. Develop and implement backup and disaster recovery procedures to safeguard data and systems. 16. Develop procedures to maintain security and protect systems from unauthorized use, natural disasters, and user abuse.17. Develop tools, procedures, and training sessions for Operations, Client Support, and Systems Development staff to assist with their work. 18. Install, configure, and maintain servers and data storage systems. 19. Mentor team members and educate users on system administration best practices. 20. Stay updated with emerging technologies and best practices in system administration to ensure continuous improvement. 21. Other duties as assigned within the scope of the job.
 
 
 
 Requirements
 
 
 
 Job Requirements Skills and Abilities: - Strong knowledge of system administration for complex operating systems. - Proficiency in designing, implementing, and maintaining mission-critical systems. - Expertise in monitoring system performance and availability. - Ability to develop and implement backup and disaster recovery procedures. - Strong problem-solving skills to address complex technical challenges. - Excellent documentation and organizational skills for maintaining technical records. - Leadership and mentoring skills to guide team members and educate users. - Knowledge of emerging technologies and best practices in system administration. Experience: IT Specialist: 0 - 2 years of experience in IT support or application support in a healthcare setting. Senior IT Specialist: Minimum of 3 years of experience in IT support or application support in a healthcare setting. Education: Bachelor's degree in Information Technology, Computer Science, or related field. Language: Excellent command of oral and written English and prefer Arabic. Licenses / Certifications: Preferred certifications: - CompTIA A+ - Held Desk Institute Support Center Analyst (HDI-SCA) - Certified Hardware Asset Management Professional (CHAMP) Certified IT Asset Manager (CITAM) Microsoft Certified: Modern Desktop Administrator Associate Project Management Professional (PMP) IT Infrastructure Library (ITIL)
</div>

IT Specialist

McKinsey & Company

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.
 
 
 You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.
 
 
 As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.
 
 
 In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.
 
 
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 
 
 
 Your Qualifications and Skills
 
 
 
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 Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
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 3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
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 Solid understanding and application of Programming in Python and/or R
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 Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
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 Familiarity with SQL and data querying from relational databases or cloud-based environments
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 Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
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 Excellent problem-solving skills, particularly in analytical and quantitative areas
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 Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
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 Willingness and ability to travel to client and McKinsey locations within and outside the country
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 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
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 Excellent written and verbal communication skills in Arabic and English
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Capabilities & Insights Analytics Analyst - Healthcare

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