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2026 financial analyst intern Jobs in Riyadh

2026 financial analyst intern

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data analyst

REEF GROUP | مجموعة ريف

<div>
 
 Data Analyst | Reef Group
 
 
 
 
 
 Position Title: Data Analyst
 
 
 Job Type: Full-Time
 
 
 
 
 
 About the Role:
 
 
 Reef Holding is seeking a detail-oriented and analytical Data Analyst to support the Administrative Operations function by transforming data into accurate, actionable insights that support decision-making, improve performance, enhance operational efficiency, and track the achievement of business objectives. This role focuses on analyzing data and developing reports and dashboards that strengthen planning, monitoring, and continuous improvement across the organization.
 
 
 The role will oversee data analysis activities including data collection, reporting, dashboard development, and performance tracking. The Data Analyst will work closely with operations and cross-functional teams to ensure data accuracy, consistency, and alignment with business needs.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 Lead data collection and analysis:
 
 
 Collect data from various systems and analyze it based on business requirements.
 
 
 Identify trends, patterns, and gaps to support performance improvement.
 
 
 Provide data-driven recommendations to enhance efficiency and operational performance.
 
 
 
 
 
 Develop reports and dashboards:
 
 
 Prepare periodic reports on performance and approved key performance indicators (KPIs).
 
 
 Develop interactive dashboards to support monitoring and decision-making.
 
 
 Ensure timely delivery of reports and dashboards with high levels of accuracy and clarity.
 
 
 
 
 
 Ensure data quality and consistency:
 
 
 Validate data accuracy and resolve inconsistencies across different sources.
 
 
 Collaborate with internal teams to unify data sources.
 
 
 Support continuous improvement of data quality and reporting practices.
 
 
 
 
 
 Support planning and analytical initiatives:
 
 
 Support forecasting and planning activities based on historical data.
 
 
 Support analytical projects and improvement initiatives.
 
 
 Document analysis methodologies and reporting processes to ensure continuity.
 
 
 
 
 
 Collaborate across teams:
 
 
 Work closely with operations and relevant departments to support data needs.
 
 
 Ensure alignment between data insights and business objectives.
 
 
 
 
 
 Required Qualifications:
 
 
 Bachelor&rsquo;s degree in Information Systems or a related field.
 
 
 0&ndash;2 years of relevant experience.
 
 
 
 
 
 Strong ability to extract and analyze data.
 
 
 Proficiency in dashboard design.
 
 
 Understanding of digital consumer behavior.
 
 
 Ability to communicate effectively with e-commerce teams.
 
 
 
 
 
 Preferred Qualifications:
 
 
 Training in Google Analytics.
 
 
 Experience with user experience tracking tools.
 
 
 Knowledge of e-commerce data analysis.
 
 
 
 
 
 Languages:
 
 
 Arabic &ndash; English
 
 
 
 
 
 Why Join Us?
 
 <ul>
 <li>
 At Reef Holding, we believe that data plays a critical role in improving performance and supporting effective decision-making. Joining our team means contributing to an environment that values accuracy, efficiency, and continuous improvement across all operations.
 </li>
 </ul>
 
 
</div>

Data Analyst

Tap Payments

<div>About Tap
Tap Payments is revolutionizing online payments across the MENA region by connecting businesses with simple, unified payment experiences. We need exceptional talent to help us on this journey. 
The Operations Team 
Great ideas aren't enough. To build a truly global business, we need great experiences. Join our operations team and help build, operate, and scale our customer, financial and administrative operations across the Middle East and beyond. Yalla! let's do this 
As a Tapster you will:<ul><li>
Define the criteria and formulas for all key Ops metrics &mdash; acceptance rates, chargeback ratios, onboarding TTL, KYC queue age, SLA breach rates, dispute resolution times, and more</li><li>
Work with the Ops leadership team to design new KPIs when new domains or functions are added</li><li>
Review existing dashboards and reports to identify measurement inconsistencies, formula errors, or misleading representations</li><li>
Guide the React Native Engineers and product teams on how to build data pipelines and dashboard visualisations that correctly reflect defined formulas</li><li>
Produce cohort analyses &mdash; comparing merchant segments, market performance, BIN group behaviour, or time-period comparisons</li><li>
Define segmentation logic &mdash; which merchants go into which cohort, what counts as an 'active' merchant, what defines a 'failed' transaction</li><li>
Develop and maintain a Metrics Dictionary: a living document that defines every metric Ops reports, including formula, data source, refresh frequency, and known limitations</li><li>
Validate data quality &mdash; working with Engineering to identify data gaps, duplicate entries, or incorrect event tracking that affects report accuracy</li><li>
Support leadership sessions with ad-hoc analysis &mdash; pulling specific data cuts to answer leadership questions that go beyond standard dashboards</li><li>
Work with GRC and Finance to ensure Ops metrics align with regulatory reporting requirements and financial reconciliation standards</li></ul> 
What you will bring to the party:<ul><li>
 2&ndash;4 years in a data analyst role &mdash; fintech, payments, or e-commerce strongly preferred</li><li>
Strong SQL &mdash; comfortable writing complex queries across multiple tables without assistance</li><li>
Experience defining KPIs and metrics frameworks &mdash; not just pulling numbers but designing what gets measured</li><li>
Experience working with BI tools (Metabase, Looker, Tableau, Power BI, or similar)</li><li>
Does not need to build dashboards alone but must understand how they work</li><li>
Comfortable with averages, percentiles, rates, cohort analysis, and basic statistical concepts</li><li>
Able to spot misleading aggregations</li><li>
Understanding of payment processing metrics (authorization rates, chargeback ratios, settlement cycles) is a strong advantage</li><li>
Able to explain metric definitions and methodology clearly to non-technical stakeholders, including leadership and merchant teams</li><li>
Meticulous &mdash; every formula, data source, and assumption must be documented</li><li>
Degree in Mathematics, Statistics, Economics, Computer Science, or equivalent</li><li>
2&ndash;4 years &mdash; mid-level role; depth of analytical thinking matters more than seniority</li></ul> 
 
Key Deliverables:<ul><li>
Metrics Dictionary: Complete documentation of every Ops KPI &mdash; formula, source, owner, refresh rate</li><li>
Dashboard Review: Monthly review of all active Ops dashboards for accuracy and consistency</li><li>
Cohort Analysis: Quarterly cohort performance reports across merchant segments and markets</li><li>
Ad-hoc Analysis: Turnaround within 48 hours for leadership-requested data cuts</li><li>
Data Quality Report: Quarterly report on data quality issues affecting Ops reporting</li></ul> 
Are you ready to shape the future of payments in MENA?</div>

Data Analyst (Operations Intelligence & Strategy)

Al Foadia Company Limited

We are seeking a detail-oriented and analytical Data and Reporting Analyst to join our client's team in Riyadh. In this role, you will be responsible for transforming raw data into actionable insights that drive strategic business decisions. The ideal candidate possesses a blend of technical expertise, analytical prowess, and the ability to communicate complex findings to diverse stakeholders.Key Responsibilities<ul><li>Data Collection &amp; Management: Extract, clean, and maintain data from various internal and external sources to ensure accuracy and integrity.</li><li>Reporting &amp; Dashboards: Design, develop, and maintain automated reports and interactive dashboards (using tools like Power BI or Tableau) to track Key Performance Indicators (KPIs).</li><li>Trend Analysis: Analyze large datasets to identify patterns, trends, and anomalies that impact business performance.</li><li>Stakeholder Collaboration: Work closely with department heads to understand their data needs and provide tailored analytical support.</li><li>Process Improvement: Identify opportunities to streamline data collection processes and improve reporting efficiency.</li><li>Ad-hoc Analysis: Perform deep-dive analyses on specific business problems as requested by management.</li></ul>Requirements<ul><li>Education: Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.</li><li>Experience: Minimum of 3&ndash;5 years of experience in a data analysis or business intelligence role.</li><li>Technical Skills: * Proficiency in SQL for database querying.</li><li>Advanced knowledge of Microsoft Excel (VLOOKUPs, Pivot Tables, Macros).</li><li>Experience with data visualization tools (Power BI, Tableau, or Qlik).</li><li>Familiarity with Python or R is a plus.</li><li>Soft Skills: Strong problem-solving abilities, excellent communication skills in English (Arabic is a plus), and high attention to detail.</li></ul>Please submit your updated resume to &quot;jobs@alfoadia.com.sa&quot;We look forward to reviewing your application!Good Luck !!Job Type: Full-timeWork Location: In person

Data and Reporting 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 Senior Knowledge Analyst, you will be part of our client consulting teams with a focus on bringing in expertise and tools in the area of health system governance, financing and provision.
 
 
 You will work closely with our healthcare clients in the kingdom from various sectors such as public bodies, health insurance companies or providers, utilizing your project management skills and communication with diverse stakeholders.
 
 
 Our Healthcare Team utilizes insights, analyses and data from the healthcare sector (e.g., health systems, health insurance companies or healthcare providers) to address some of our clients' most pressing challenges, such as: "How can we optimize healthcare costs while simultaneously improving quality?", "How is GenAI shaping the way we organize and deliver healthcare?", "Who are the most sensitive patient groups, and with which treatment pathways can we improve their care?"
 
 
 As a Senior Knowledge Analyst, you are expected to collaborate with our clients on their most urgent topics in the healthcare sphere. In your daily operations, you will collaborate closely with our experts and data scientist colleagues, and our consulting teams to prepare and execute client work. You will also support the development and maintenance of proprietary knowledge capabilities in conjunction with other experts in local and global practices.
 
 
 As part of McKinsey's global Client Capability Network, comprising over 4500 colleagues who support our clients and consulting teams with expertise and industry analyses, you will be joining our Social, Healthcare and Public Entities (SHaPE) Practice with a focus on health systems.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Bachelors or Masters in Medicine, Public Health, Health Economics, or an associated field
 </li>
 <li>
 4+ years of professional experience in a relevant field (e.g. healthcare bodies, healthcare delivery, payers and insurers, bilateral organizations, academia or consulting), preferably in the Middle East
 </li>
 <li>
 Solid understanding and application of the following areas: Health system financing, public governance, quality and access, public health, digital health and analytics
 </li>
 <li>
 Excellent problem-solving skills, particularly in analytical and quantitative areas
 </li>
 <li>
 Expertise in Microsoft Office, including Excel and PowerPoint; additional data analytics and visualization is a plus (e.g. PowerBI, SQL, Tableau, Python)
 </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 in Arabic and English
 </li>
 </ul>
</div>

Senior Knowledge Analyst - Healthcare

Talents Arena

Job Title: Senior Business AnalystLocation: Riyadh, Saudi Arabia (On-site)Job SummaryWe are seeking a highly strategic and experienced Senior Business Analyst to join our team on-site in Saudi Arabia. In this pivotal role, you will act as the primary bridge between business stakeholders and technical teams. You will leverage your extensive experience to analyze complex business challenges, design innovative solutions, and ensure that all technical initiatives align with our corporate strategic goalsKey ResponsibilitiesLead end-to-end business analysis activities, including requirements of gathering, documentation, validation, and change management.Conduct workshops, interviews, and meetings with stakeholders to understand business needs and define clear functional and non-functional requirements.Develop business models, process maps, feasibility studies, and gap analyses to support decision-making.Translate business requirements into detailed BRDs, SRS documents, use cases, and user stories.Collaborate with development, QA, and project management teams to ensure accurate implementation of requirements.Evaluate existing systems and processes, identify improvement opportunities, and recommend optimized solutions.Support UAT planning and execution, ensuring solutions meet business expectations.Prepare analytical reports and insights to support strategic planning and operational excellence.Ensure adherence to industry standards and best practices such as BABOK, Agile, and Waterfall methodologies.Act as a trusted advisor to business leaders, providing expert guidance on process optimization and digital transformation initiatives.Qualifications &amp; RequirementsEducation: Bachelor&rsquo;s degree in information technology, Computer Science, Business Administration, or related field.Experience: A minimum of 5-10 years of progressive experience in business analysis, IT projects, and digital transformation with a proven track record in large-scale enterprise projects.Language: Native Arabic and fluent English are mandatory.Location: Must be based in Saudi Arabia for full-time on-site work.Nationality: Saudi CandidatesRequired SkillsExceptional analytical and problem-solving abilities.Strong negotiation, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels.Deep understanding of SDLC, Agile, Scrum, and Waterfall methodologiesMastery of business modeling tools (e.g., Microsoft Visio, Jira, Confluence, Lucid chart) and data visualization tools (e.g., Power BI, Tableau).Proficiency in documentation, reporting, and presentation development.Ability to manage multiple initiatives simultaneously and meet tight deadlines.close attention to detail and a structured, methodical approach to work.Preferred CertificationsCBAP (Certified Business Analysis Professional)PMIPBA (Professional in Business Analysis)Agile/Scrum certificationsJob Type: Full-timePay: ﷼20,000.00 - ﷼22,000.00 per monthApplication Question(s):<ul><li>What's Your Nationality? </li></ul>Work Location: In person

Senior Business Analyst

EjadTech - إيجاد التقنية

<div>
 
 EjadTech is seeking a professional Data Scientist to act as a technical and strategic partner. The role involves extracting value from big data and transforming it into actionable insights that support decision-making and solve complex business challenges for our clients.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Translate complex business challenges into actionable data science projects and technical models.
 </li>
 <li>
 Manage the end-to-end data lifecycle, including extraction, cleaning, and transformation.
 </li>
 <li>
 Develop, train, and validate advanced Machine Learning models and predictive algorithms.
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) and create visualizations to communicate patterns clearly.
 </li>
 <li>
 Build and deploy scalable analytical solutions on cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Present technical findings and strategic recommendations to senior leadership and clients.
 </li>
 <li>
 Collaborate with Data Engineers to ensure robust data pipelines and system integration.
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 3 to 6 years of professional experience as a Data Scientist.
 </li>
 <li>
 Strong proficiency in Python or R and advanced SQL querying.
 </li>
 <li>
 Proven track record in applying Machine Learning frameworks.
 </li>
 <li>
 Experience in a consulting or client-facing technology environment.
 </li>
 </ul>
 
 
 Qualifications and Skills:
 
 
 <ul>
 <li>
 Degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Exceptional Data Storytelling skills and the ability to simplify technical concepts for non-experts.
 </li>
 <li>
 Familiarity with Agile methodologies and modern data engineering practices.
 </li>
 <li>
 Critical thinking and problem-solving skills with the ability to work under pressure.
 </li>
 <li>
 Full professional proficiency in both Arabic and English.
 </li>
 </ul>
 
 
 
</div>

Data Scientist

CNTXT

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Senior Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 7 + years in data science/ML engineering, with 4 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
</div>

Explore 462+ Data analyst in Riyadh this April. Find roles across top companies and apply now to boost your career.

462 data analyst jobs In Riyadh

Data Analyst

Data Analyst (Operations Intelligence & Strategy)

Data and Reporting Analyst

Senior Knowledge Analyst - Healthcare

Senior Business Analyst

Data Scientist

Data Scientist