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afc data analyst

AtkinsRéalis

<div>
 
 Overview
 
 
 
 We are seeking an experienced AFC Data Analyst to support data-driven decision-making within public transportation systems. The ideal candidate will have deep expertise in analyzing fare collection data, passenger behavior, revenue performance, and system efficiency, with a strong understanding of transportation operations.
 
 
 Your role
 
 
 
 Data Analysis &amp; Reporting
 
 
 
 Analyze AFC transaction data (smart cards, mobile tickets, contactless payments) to identify trends in ridership, revenue, and passenger flow.
 
 
 Develop dashboards and reports tracking KPIs such as ridership, fare evasion, peak usage, and revenue leakage.
 
 
 Perform data validation and quality checks to ensure integrity of AFC datasets.
 
 
 
 Transportation Insights
 
 
 
 Provide insights into passenger travel patterns, route performance, and network utilization.
 
 
 Support planning teams with demand forecasting and capacity planning.
 
 
 Analyze multimodal integration (bus, metro, tram) using AFC data.
 
 
 
 Advanced Analytics
 
 
 
 Build predictive models for ridership forecasting, fare optimization, and demand analysis.
 
 
 Apply statistical techniques and machine learning where applicable.
 
 
 Conduct scenario analysis to support policy or fare structure changes.
 
 
 
 System &amp; Data Management
 
 
 
 Work with AFC system vendors and internal IT teams to manage data pipelines and integrations.
 
 
 Extract, transform, and load (ETL) large datasets from AFC systems and data warehouses.
 
 
 Ensure compliance with data governance and security standards.
 
 
 
 Stakeholder Collaboration
 
 
 
 Collaborate with operations, finance, and planning teams to translate data into actionable insights.
 
 
 Present findings and recommendations to senior stakeholders and leadership.
 
 
 Support audits and regulatory reporting requirements.
 
 
 
 About You
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Transportation Engineering, or related field.
 </li>
 <li>
 Master's degree preferred.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 10+ years of experience in data analysis, ideally within public transportation or mobility sectors.
 </li>
 <li>
 Proven experience working with AFC systems (e.g., Cubic, Thales, Scheidt &amp; Bachmann, etc.).
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in: SQL (advanced level).
 
 
 </li>
 </ul>
 Python or R for data analysis.
 
 
 Data visualization tools (Power BI, Tableau).
 
 
 <ul>
 <li>
 Experience with: Big data platforms (e.g., Hadoop, Spark) is a plus.
 
 
 </li>
 </ul>
 GIS tools (ArcGIS/QGIS) for spatial analysis.
 
 
 ETL tools and data warehousing concepts.
 
 
 
 Domain Knowledge
 
 
 
 <ul>
 <li>
 Strong understanding of:
 </li>
 <li>
 Public transportation operations.
 </li>
 <li>
 Fare structures and ticketing systems.
 </li>
 <li>
 Transit KPIs and performance metrics.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Excellent communication and storytelling with data.
 </li>
 <li>
 Ability to work cross-functionally in complex environments.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in smart mobility or digital ticketing transformation projects.
 </li>
 <li>
 Knowledge of contactless EMV payment systems.
 </li>
 <li>
 Familiarity with real-time data analytics in transportation.
 </li>
 <li>
 Experience in large-scale metro, rail, or bus network environments.
 
 
 </li>
 </ul>
 Rewards &amp; benefits
 
 
 Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.
 
 
 
 This Includes
 
 
 
 <ul>
 <li>
 Tax-free salary.
 </li>
 <li>
 Life insurance coverage.
 </li>
 <li>
 Medical insurance.
 </li>
 <li>
 Annual leave balance.
 </li>
 <li>
 Company gratuity scheme.
 </li>
 <li>
 Discretionary bonus program.
 </li>
 <li>
 Annual flight contribution.
 </li>
 <li>
 Transportation &amp; housing allowances.
 </li>
 <li>
 Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.
 
 
 </li>
 </ul>
 Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.
 
 
 
 About AtkinsR&eacute;alis
 
 
 
 We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.
 
 
 Find out more.
</div>

AFC Data Analyst

Deutsche Bank

<div>
 
 Position Overview
 
 
 
 
 Details of the Division and Team:
 
 
 
 The Private Bank (PB) combines Deutsche Bank&rsquo;s private client&rsquo;s business in Germany and its international business with private and commercial clients together with Wealth Management in a single division.
 
 
 As a trusted partner of high-net-worth individuals and companies, family offices and foundations, we create lasting value for our clients by developing tailor-made solutions such as wealth planning, asset management with individual risk management, loans and deposits. All this is possible thanks to our global network and our many years of experience.
 
 
 
 What we will offer you:
 
 
 
 A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That&rsquo;s why we are committed to providing an environment with your development and wellbeing at its center.
 
 
 
 You can expect:
 
 
 
 <ul>
 <li>
 Life Insurance
 </li>
 <li>
 Accidental Death Insurance
 </li>
 <li>
 Permanent Partial Disability Insurance
 </li>
 <li>
 Private Medical Insurance for you, your spouse and dependent children
 </li>
 <li>
 Flexible working arrangements
 </li>
 <li>
 30 days of annual paid leave, plus public holiday &amp; Flexible Working Arrangement
 </li>
 <li>
 DB contributions to Employee Workplace Savings "Gosi&rdquo; plan (for Saudi nationals only)
 
 
 
 </li>
 </ul>
 
 Your key responsibilities:
 
 
 
 As an Operations Specialist, you will support the Private Banking business for Saudi Arabia &ndash; specifically the DSSA platform. The role holder will work closely with the local Front Office team (Business Heads, Relationship Managers (RM), Client Service Executives, Investment Manager), Compliance, Legal, Anti Financial Crime (AFC) and Business Management Team.
 
 
 <ul>
 <li>
 Support the Front Office throughout the complete new customer adoption process, coordinating, and reviewing of legal documentation, ensuring accurate account creation in DB systems, and participating in meetings to support complex account structures and Know Your Client requirements.
 </li>
 <li>
 Collaborate closely with the Front Office, COO, and relevant stakeholders to implement new products, support business growth, manage client data modifications, oversee account closures, and deliver best‑in‑class client service.
 </li>
 <li>
 Provide and oversee critical operational services enabling the delivery of innovative and complex financial products, ensuring compliance with all applicable regulations and internal policies, while proactively tracking operational progress and following up with RMs/IMs.
 </li>
 <li>
 Participate in the continuous assessment of onboarding and static data processes, recommending and implementing enhancements to improve efficiency, robustness, and overall operational quality.
 </li>
 <li>
 Advise on process exceptions and complexities, offering comprehensive expertise and ensuring effective alignment with operational and regulatory standards.
 </li>
 <li>
 Collaborate with offshore Wealth Management teams to ensure seamless service delivery and operational support across locations.
 </li>
 <li>
 Offer subject matter expertise and work with the Agile organization to implement projects.
 </li>
 <li>
 Take on additional responsibilities aligned with personal development, and performing any other tasks assigned by the team supervisor.
 
 
 
 </li>
 </ul>
 
 W
 
 
 hat we look for:
 
 
 
 <ul>
 <li>
 Motivated professional who like to work in a team, have excellent interpersonal skills and willingness to learn.
 </li>
 <li>
 You should not only be passionate about financial topics and the capital market but also have a strong interest in expanding your knowledge on Private Bank business.
 </li>
 <li>
 You can build on your outstanding academical achievements and benefit from working in a professional and diverse environment with some of the best minds in banking.
 
 
 
 </li>
 </ul>
 
 Your skills and experience:
 
 
 
 <ul>
 <li>
 Education: Bachelor degree in economic or financial a must - Master degree a plus.
 </li>
 <li>
 Language: Fluent English skills compulsory
 </li>
 <li>
 Experience: 3 to 5 years of experience ideally in Operations in an International Private Bank.
 </li>
 <li>
 MS Office Proficiency: Advanced skills in using Excel/PowerPoint/Word
 </li>
 <li>
 Communication Skills: Excellent written and verbal communication skills for interacting with diverse stakeholders.
 </li>
 <li>
 Interpersonal Skills: Ability to build relationships, work effectively in teams, and collaborate with others across different locations.
 </li>
 <li>
 Problem-Solving Skills: Ability to identify and solve problems, often under pressure.
 </li>
 <li>
 Time Management: Ability to prioritize tasks, manage time effectively, and meet deadlines.
 </li>
 <li>
 Adaptability: Willingness to learn new skills and adjust to changing priorities and situations.
 </li>
 <li>
 Analytical skills: Superior analytical skills (including data analysis) as well as being detail-oriented on both strategy and execution.
 
 
 
 </li>
 </ul>
 
 How we&rsquo;ll support you:
 
 
 
 <ul>
 <li>
 Flexible working to assist you balance your personal priorities
 </li>
 <li>
 Coaching and support from experts in your team
 </li>
 <li>
 A culture of continuous learning to aid progression
 </li>
 <li>
 A range of flexible benefits that you can tailor to suit your needs
 </li>
 <li>
 Training and development to help you excel in your career
 
 
 
 </li>
 </ul>
 
 About us and our teams:
 
 
 
 Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do.
 
 
 
 Deutsche Bank &amp; Diversity
 
 
 
 Our values define the working environment we strive to create &ndash; diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
 
 
 We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
</div>

Private Bank – Operations Specialist, DSSA - Associate

Confidential

<div>
 
 
 Location
 
 : Riyadh, Saudi Arabia
 
 
 
 Industry
 
 : FMCG / Food &amp; Beverage / Manufacturing / Retail
 
 
 
 Position
 
 : Sales Data Analyst
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 The Sales Data Analyst is responsible for analyzing sales performance, customer trends, and business data to support strategic decision-making. The role works closely with Sales, Commercial, Finance, and Management teams to provide insights that improve sales effectiveness, optimize product performance, and drive business growth.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Sales Performance Analysis
 
 
 
 
 
 
 * Analyze sales performance across customers, channels, regions, and product categories.
 
 
 * Monitor key sales KPIs and identify trends, opportunities, and performance gaps.
 
 
 * Evaluate sales initiatives, promotions, and pricing activities.
 
 
 * Provide recommendations to improve sales performance and profitability.
 
 
 
 
 
 
 Reporting &amp; Business Insights
 
 
 
 
 
 
 * Prepare daily, weekly, and monthly sales reports and dashboards.
 
 
 * Develop and maintain reports using Excel, Power BI, and other reporting tools.
 
 
 * Present actionable insights to Sales and Management teams.
 
 
 * Support business reviews with data-driven analysis.
 
 
 
 
 
 
 Data Management &amp; Validation
 
 
 
 
 
 
 * Extract, validate, and reconcile data from ERP and operational systems.
 
 
 * Ensure accuracy and consistency of sales and customer data.
 
 
 * Identify and resolve reporting discrepancies.
 
 
 
 
 
 
 Forecasting &amp; Commercial Support
 
 
 
 
 
 
 * Support sales forecasting, budgeting, and planning activities.
 
 
 * Analyze customer purchasing behavior and product performance.
 
 
 * Support commercial teams with ad-hoc analysis and business recommendations.
 
 
 * Identify growth opportunities and areas for operational improvement.
 
 
 
 
 
 
 Qualifications &amp; Requirements
 
 
 
 
 
 
 
 Education
 
 : Bachelor&rsquo;s degree in Data Analytics, Statistics, Business Administration, Finance, or related field.
 
 
 
 
 
 
 Experience
 
 : Minimum 6 years of experience in Sales Data Analysis, Commercial Analysis, or Business Intelligence within FMCG, Food Manufacturing, Distribution, or Retail industries.
 
 
 
 
 
 
 Technical Skills:
 
 
 
 
 
 
 * Advanced Microsoft Excel skills.
 
 
 * Strong experience with Power BI or similar BI tools.
 
 
 * Experience working with ERP systems.
 
 
 * Strong analytical and reporting capabilities.
 
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 
 * Excellent analytical and problem-solving skills.
 
 
 * High attention to detail and data accuracy.
 
 
 * Strong stakeholder management and communication skills.
 
 
 
 
 
 
 Language: Fluent in English (Arabic is a plus).
 
 
</div>

Data Analyst

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
 
 
 
 <ul>
 <li>
 Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
 </li>
 <li>
 3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
 </li>
 <li>
 Solid understanding and application of Programming in Python and/or R
 </li>
 <li>
 Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
 </li>
 <li>
 Familiarity with SQL and data querying from relational databases or cloud-based environments
 </li>
 <li>
 Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
 </li>
 <li>
 Excellent problem-solving skills, particularly in analytical and quantitative areas
 </li>
 <li>
 Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
 </li>
 <li>
 Willingness and ability to travel to client and McKinsey locations within and outside the country
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Excellent written and verbal communication skills in Arabic and English
 </li>
 </ul>
</div>

Capabilities & Insights Analytics Analyst - Healthcare

Confidential Government

<div>
 
 
 Job Summary:
 
 
 
 The data Analyst is responsible for analyzing organizational data, monitoring KPIs and performance metrics, developing interactive Power BI dashboards, and supporting executive management with data-driven insights. The role also contributes to risk management activities, business analysis, and continuous performance improvement initiatives across the organization.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Monitor, analyze, and report on organizational KPIs and performance metrics.
 </li>
 <li>
 Support the development and implementation of performance measurement frameworks.
 </li>
 <li>
 Track business performance against strategic objectives and identify improvement opportunities.
 </li>
 </ul>
 
 
 
 
 
 Power BI &amp; Dashboards:
 
 
 <ul>
 <li>
 Design, develop, and maintain interactive Power BI dashboards and reports.
 </li>
 <li>
 Build automated reporting solutions and data visualizations.
 </li>
 <li>
 Ensure data accuracy, consistency, and usability across dashboards.
 </li>
 </ul>
 
 
 
 
 
 Data Analysis:
 
 
 <ul>
 <li>
 Collect, clean, validate, and analyze data from multiple sources.
 </li>
 <li>
 Identify trends, patterns, and business insights to support decision-making.
 </li>
 <li>
 Perform ad hoc analyses and present findings to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Risk Management:
 
 
 <ul>
 <li>
 Support the identification, assessment, and monitoring of operational and organizational risks.
 </li>
 <li>
 Prepare risk reports and dashboards for management.
 </li>
 <li>
 Assist in monitoring risk indicators and compliance requirements.
 </li>
 </ul>
 
 
 
 
 
 Executive Management Support:
 
 
 <ul>
 <li>
 Prepare executive dashboards and management reports.
 </li>
 <li>
 Develop presentations and analytical materials for leadership meetings.
 </li>
 <li>
 Monitor strategic initiatives and executive performance indicators.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's or diploma degree in any related field.
 </li>
 <li>
 Preferred prior experience in Business Intelligence, Performance Management and, Data Analytics.
 </li>
 <li>
 Advanced proficiency in Power BI and Excel (Dashboard design and reporting).
 </li>
 <li>
 Strong knowledge of KPI development and performance measurement.
 </li>
 </ul>
 
 
 
</div>

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

Unified Real Estate Development Company

<div>
 
 
 Core Responsibilities:
 
 
 <ul>
 <li>
 Design and build the central data infrastructure (ClickHouse, data lake, or equivalent) that aggregates data from property management, leasing, finance, and operations systems.
 </li>
 <li>
 Integrate frontier LLMs (Claude, GPT-4, or equivalent) via API to serve as the reasoning and analysis layer on top of internal data.
 </li>
 <li>
 Build and maintain retrieval pipelines that intelligently select, filter, and deliver relevant data to the LLM within context window constraints.
 </li>
 <li>
 Develop internal tools, dashboards, or interfaces that allow non-technical staff to interact with AI-powered analysis.
 </li>
 <li>
 Implement proper data security, access controls, and compliance protocols &mdash; ensuring sensitive real estate and tenant data is handled appropriately.
 </li>
 <li>
 Architect systems with modularity in mind &mdash; LLM providers, data sources, and tools should be swappable as the landscape evolves.
 </li>
 <li>
 Monitor AI output quality and implement validation/feedback loops to catch hallucinations and errors.
 </li>
 <li>
 Stay current with AI developments and proactively recommend when new capabilities become relevant to Unified&rsquo;s operations.
 </li>
 <li>
 Document all systems, architectures, and processes thoroughly. Bus-factor risk must be minimized.
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 3&ndash;5 years of software engineering experience, with strong proficiency in Python.
 </li>
 <li>
 Hands-on experience building applications that integrate with LLM APIs (Anthropic, OpenAI, or similar).
 </li>
 <li>
 Practical knowledge of data engineering: ETL pipelines, SQL, working with structured and semi-structured data on scale.
 </li>
 <li>
 Experience with at least one of: ClickHouse, PostgreSQL, BigQuery, Snowflake, or comparable analytical databases.
 </li>
 <li>
 Understanding of retrieval-augmented generation (RAG) patterns, vector databases, and context management strategies.
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LlamaIndex, or custom equivalents).
 </li>
 <li>
 Ability to deploy and maintain production services (Docker, cloud infrastructure, CI/CD basics).
 </li>
 <li>
 Strong communication skills &mdash; you will need to explain technical constraints and trade-offs to non-technical stakeholders clearly.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience in real estate, property management, or construction technology is a strong plus but not required.
 </li>
 <li>
 Exposure to agent-based AI workflows and multi-step task orchestration.
 </li>
 <li>
 Experience with data visualization tools or building internal dashboards (Streamlit, Retool, or custom).
 </li>
 <li>
 Familiarity with Arabic language NLP or bilingual data environments.
 </li>
 <li>
 Previous experience working in small teams or startup-like environments where you owned projects end-to-end.
 </li>
 </ul>
 
 
 What This Role Is Not
 
 
 <ul>
 <li>
 This is not an ML research role. You will not be training or fine-tuning models. You will be implementing and integrating existing frontier models.
 </li>
 <li>
 This is not a pure data engineering role. You will build data infrastructure, but the goal is to power AI applications, not just maintain databases.
 </li>
 <li>
 This is not a management role. This is an individual contributor position with high autonomy and direct impact.
 </li>
 </ul>
 
 
 Working Arrangement
 
 
 
 Based in Riyadh. You will participate in weekly rotating meetings with different departments (leasing, property management, finance, operations) alongside the AI Analyst to understand business needs and demonstrate progress. Expect a fast iteration cycle &mdash; the expectation is working prototypes, not lengthy planning phases.
 
</div>

Artificial Intelligence Engineer

Explore 253+ Afc data analyst in Riyadh this July. Find roles across top companies and apply now to boost your career.

253 afc data analyst jobs In Riyadh

AFC Data Analyst

Private Bank – Operations Specialist, DSSA - Associate

Data Analyst

Capabilities & Insights Analytics Analyst - Healthcare

Data Analyst

Real Estate Development Analyst

Artificial Intelligence Engineer