business analyst

data analyst

data scientist

data engineer

senior business analyst

senior data analyst

Devoteam

<div>
 <strong>
  Tech for People Unlocks the Future
  <br/>
  <br/>
 </strong>
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 <br/>
 <br/>
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 <br/>
 <br/>
 <strong>
  Devoteam Culture &amp; Values:
  <br/>
  <br/>
 </strong>
 True innovation is born from a powerful culture, fused with meaningful values.
 <br/>
 <br/>
 <strong>
  Culture:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fair and courageous Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
  </li>
  <li>
   Ambition and results Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
  </li>
  <li>
   Learning and innovating Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
  </li>
  <li>
   Caring and sharing A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
  <br/>
  <br/>
 </strong>
 <strong>
  Because alone, we go faster &ndash; but together, we go further.
  <br/>
  <br/>
 </strong>
 <strong>
  Values:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Respect
  </li>
  <li>
   Frankness
  </li>
  <li>
   Passion
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Unit:
  <br/>
  <br/>
 </strong>
 Data &amp; Intelligence
 <br/>
 <br/>
 <strong>
  Level:
  <br/>
  <br/>
 </strong>
 Senior to Managerial -level
 <br/>
 <br/>
 To know more about us, please visit: www.devoteam.com
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 A Business Data Analyst translates business requirements into data-driven insights, serving as the bridge between data experts and business stakeholders. They apply analytical skills, domain knowledge, and business acumen to interpret complex data sets and produce actionable recommendations that directly impact strategic and operational business decisions. At this level, analysts independently manage analytical projects, collaborate with cross-functional teams, and clearly communicate insights to management and stakeholders, influencing strategic initiatives and driving tangible business outcomes.
 <br/>
 <br/>
 <strong>
  Technical and Analytical Capabilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced Excel Skills: Pivot tables, advanced formulas, scenario modeling.
  </li>
  <li>
   Proficiency with Data Querying: SQL for data retrieval and manipulation.
  </li>
  <li>
   Data Visualization: Tableau, Power BI, Looker to develop interactive dashboards.
  </li>
  <li>
   Analytical Programming: Familiarity with Python or R for exploratory analysis.
  </li>
  <li>
   Understanding of Data Warehousing: Experience with relational databases and data structures for efficient data extraction and interpretation.
  </li>
  <li>
   Statistical Methods: Capability to perform descriptive analytics, correlation, and regression analysis to interpret business performance.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business-Oriented Capabilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Business Acumen: Deep understanding of organizational processes, strategies, and KPIs to interpret data in relevant business contexts.
  </li>
  <li>
   Requirement Elicitation: Ability to gather, clarify, and refine business stakeholder needs and convert them into analytical tasks.
  </li>
  <li>
   Strategic Thinking: Align data analysis with business objectives, proactively identifying opportunities and recommending improvements.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Communication and Soft Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong Communication: Clearly explain analytical findings in straightforward business language, tailored to different stakeholders (including executives).
  </li>
  <li>
   Data Storytelling: Ability to craft compelling narratives from data to highlight actionable insights.
  </li>
  <li>
   Stakeholder Management: Comfortably interacting across departments, from technical teams to senior business executives.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Problem-Solving and Critical Thinking: Proactively identify issues and approach business challenges analytically, offering practical solutions.
 <br/>
 <br/>
 <strong>
  Project and Task Management:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Project Leadership: Independently manage end-to-end analytical projects from requirement gathering to delivering insights.
  </li>
  <li>
   Time Management: Efficiently prioritize multiple concurrent tasks or projects to meet deadlines and business expectations.
  </li>
  <li>
   Documentation and Reporting: Maintain comprehensive documentation of analytical methodologies and findings, ensuring transparency and reproducibility.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   One core certification (CCBA, CAP, or PMI-PBA)
  </li>
  <li>
   One data visualization certification (Tableau or Power BI)
  </li>
  <li>
   One complementary certification (optional but preferred)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 Level: Mid-senior Level
 <br/>
 <br/>
 Business Unit: Data Intelegince
</div>


Business Data Analyst

Emdad By Elm

<div>
 <p>
  Senior Business Analyst with strong experience in analyzing business needs and translating them into clear functional and technical requirements to support modern digital solutions.
 </p>
 <p>
  Responsibilities:
 </p>
 <ul>
  <li>
   Gather, analyze, and document business requirements from stakeholders.
  </li>
  <li>
   Translate business needs into functional and non-functional requirements.
  </li>
  <li>
   Analyze current processes and propose improvement opportunities.
  </li>
  <li>
   Prepare and maintain requirement artifacts (User Stories, Use Cases, Acceptance Criteria).
  </li>
  <li>
   Work closely with solution and development teams to ensure shared understanding.
  </li>
  <li>
   Support development and QA teams during implementation and testing.
  </li>
  <li>
   Participate in analysis activities across the system development lifecycle (SDLC).
  </li>
  <li>
   Support solution delivery and validation of business outcomes.
  </li>
 </ul>
 <p>
  Requirements:
 </p>
 <ul>
  <li>
   4+ years of experience in Business Analysis or Systems Analysis.
  </li>
  <li>
   Experience working with technical teams (Backend, Mobile, QA).
  </li>
  <li>
   Strong understanding of the SDLC.
  </li>
  <li>
   Excellent analytical, documentation, and communication skills.
  </li>
  <li>
   Experience writing User Stories and acceptance criteria.
  </li>
  <li>
   General understanding of digital systems and integrations (preferred).
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Business Analyst

McKinsey & Company

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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?"
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <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

لدله الصحية

<div><div><div><div><h4 class="jobSectionHeader"><b>Research &amp;Data Senior Specialist</b></h4></div><div>
Posted On: Monday, April 27th, 2026</div></div></div><div><div>
Description</div><div><p><b>
Roles and Responsibilities</b></p><p><b>
Organizational Accountabilities:</b></p><ul><li>
Ensure work is performed based on approved policies, processes, procedures, and instructions</li></ul><ul><li>Identify opportunities for continuous improvement of systems, processes and practices considering leading practices, cost reduction and productivity improvement</li><li>Ensure day-to-day activities are properly performed in line with policies and procedures</li><li>Follow-up on escalated cases/issues of subordinates to ensure they are closed efficiently and in a timely manner</li><li>Support the Patient Experience leadership in developing data-driven strategies to improve patient satisfaction and service excellence.</li><li>Ensure all data analytics and reporting activities comply with organizational policies, CBAHI standards, and Saudi Ministry of Health patient experience requirements.</li><li>Promote a culture of continuous improvement through evidence-based decision-making and transparent data reporting.</li><li>Collaborate cross-functionally with Clinical, Quality, and IT departments to enhance data accuracy, integration, and visualization capabilities.</li><li>Maintain confidentiality and security of patient-related data in line with Saudi data privacy regulations.</li></ul><p><b>
Functional Accountabilities:</b></p><ul><li>
Collect and consolidate patient experience and satisfaction data from various sources (surveys, complaints, service feedback, digital platforms).</li></ul><ul><li>Maintain and update centralized databases and dashboards using statistical and BI tools.</li><li>Ensure data accuracy, completeness, and compliance with internal standards and regulatory requirements.</li><li>Analyze trends, satisfaction scores, and performance indicators to identify areas for improvement in patient experience.</li></ul><p>
Develop and maintain key performance metrics (KPIs) for service quality, waiting times, communication, and overall patient satisfaction.</p><ul><li>Perform root-cause analysis for low-performing indicators and propose improvement recommendations.</li><li>Use advanced analytics techniques (regression, correlation, segmentation) to understand patient behavior and satisfaction drivers.</li><li>Prepare detailed analytical reports, executive summaries, and presentations for the leadership team.</li><li>Design and maintain interactive dashboards using Power BI, Tableau, or Excel to visualize patient experience metrics.</li><li>Support departmental meetings and performance reviews with accurate, timely data insights.</li><li>Collaborate with Patient Experience teams to develop improvement initiatives based on analytical findings.</li><li>Monitor and evaluate the impact of improvement actions on patient satisfaction outcomes.</li><li>Participate in organizational projects related to digital transformation and service excellence analytics.</li><li>Provide data support for CBAHI, JCI, and MOH audits related to patient experience and quality improvement.</li><li>Maintain documentation of data collection processes, methodologies, and analytical procedures.</li><li>Ensure compliance with data governance policies, audit requirements, and accreditation standards.</li></ul></div></div><p></p><div><div><br>
Requirements</div><div><ul><li>
Bachelor&rsquo;s degree in Statistics, Data Analytics, Healthcare Administration.</li><li>
5&ndash;8 years of experience in data analysis, performance measurement, or business intelligence &mdash; preferably in the healthcare or patient experience field.</li><ul><li>Strong analytical and statistical skills, with proficiency in tools such as Excel (advanced level), Power BI, Tableau, or SPSS.</li><li>Experience working with healthcare performance indicators, patient experience data, and quality improvement metrics.</li><li>Strong knowledge of CBAHI / JCI standards and MOH patient experience frameworks in Saudi Arabia.</li><li>Experience in data storytelling, dashboard development, and KPI management.</li><li>Excellent communication and presentation skills, capable of translating data into actionable insights.</li><li>Attention to detail, problem-solving mindset, and ability to manage multiple data projects simultaneously.</li></ul></ul></div></div><p></p><div><p><br>
Languages</p></div></div><p></p>

Research &Data Senior Specialist

MA'ADEN

<div><div><div><div><div><p><b>Role Purpose:
</b></p><p>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.
</p><p>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</p><p>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.
</p><p>1. <b>Lead End-to-End Data Science Delivery
</b></p><ul><li><p>Developing, implementing and maintaining databases and data collection systems
</p></li><li><p>Own the full lifecycle of ML/AI initiatives&mdash;from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</p></li><li><p>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</p></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>Staying up to date with latest technological trends and techniques in data science
</li><li><p>Drive experimentation, model versioning, automated retraining, and continuous improvement.<br>
</p></li></ul></div></div><br>
<div><div><p><b>2. Translate Business Needs into AI/Analytics Solutions
</b></p><ul><li><p>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</p></li><li><p>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</p></li><li><p>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.<br>
</p></li></ul></div></div><br>
<div><div><p><b>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
</b></p><ul><li><p>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</p></li><li><p>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</p></li><li><p>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</p></li><li><p>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements<br>
</p></li></ul></div></div><br>
<div><div><p><b>4. Responsible AI, Quality &amp; Governance
</b></p><ul><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>Ensure transparency, explainability, and continuous model governance across production and enterprise environments<br>
<li>
</li></ul></div></div><br>
<div></div><div><div><div><b>Minimum Qualifications:
</b></div><p>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.<br>
</p><div></div><div><b>Minimum Experience:
</b></div><p>5 &ndash; 8 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
</p><p>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</p><p>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS)
</p><p>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.<br>
</p></div></div><br>
<div><div><div><b>Maaden High-Performance Competencies:
</b></div><p><b>Core Competencies
</b></p><ul><li><p><b>Model Accuracy &amp; Reliability: </b>Performance, drift stability, and operational uptime.
</p></li><li><p><b>Adoption &amp; Business Impact: </b>Value realized, user adoption, integration success.
</p></li><li><p><b>Delivery Velocity: </b>Timeliness of development cycles and deployment readiness.
</p></li><li><p><b>Compliance &amp; Quality: </b>Alignment with Responsible AI, governance, and documentation standards.<br>
</p></li></ul></div></div><br>
<div><div><p><b>Skills:
</b></p><ul><li><b>Machine Learning &amp; AI Leadership
</b></li><li><b>Programming Expertise
</b></li><li><b>Generative AI Proficiency
</b></li><li><b>Strong Analytical &amp; Statistical Skills
</b></li><li><b>Business Strategy &amp; Product Thinking
</b></li><li><b>Ethics, Governance &amp; Responsible AI</b></li></ul></div></div></div></div></div><p></p>

Lead Specialist, Data Science & Analytics II

<div><b>Company Description</b><p><br>
Established in 2023, CODE81 operates autonomously from within the Technology Cluster of Ghobash Group as a highly agile services driven organization, committed to enabling future thinkers. Coding a better future by building the best in-class digital transformation products and solutions, the Company aims to enrich people&rsquo;s lives and help businesses thrive.</p><b><br>
Job Description</b><p><br>
7-10 years of relevant Business Analysis experience<br>
Proven experience in Senior BA / Lead BA roles with hands-on delivery<br>
Experience in large-scale digital transformation or enterprise platform projects<br>
Fluent Arabic speaker (mandatory) with strong English communication skills<br>
Strong CRM domain knowledge<br>
Hands-on knowledge of Creatio CRM is a plus.<br>
Ability to work on-site in KSA and comply with local employment regulations<br>
COMPETENCIES</p><b><br>
Qualifications</b><p><br>
Lead and govern all business analysis activities across the project<br>
Facilitate and manage discovery workshops and stakeholder sessions (Arabic &amp; English)<br>
Drive requirements elicitation, analysis, validation, and traceability<br>
Act as the primary BA project lead and client-facing point of contact<br>
Mentor and guide other Business Analysts assigned to the engagement<br>
Ensure alignment between business objectives, value streams, and solution design</p></div>

<div>
 <p>
  <strong>
   Job Title:
  </strong>
  Senior Actuarial Analyst
 </p>
 <p>
  <strong>
   Business Line:
  </strong>
  Health
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Riyadh, Saudi Arabia
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  As a Senior Actuarial Analyst within Aon&rsquo;s Health Solutions team in our Riyadh office in the, you will leverage your actuarial expertise and industry experience to deliver advanced analytical support and strategic recommendations to our clients. In this role, you will proactively evaluate complex benefit plan data, refine cost projections, and contribute to client-focused solutions while working with diverse teams and stakeholders.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Analyze claims data, plan demographics, and utilization to identify trends and drive actionable client insights.
  </li>
  <li>
   Develop and refine actuarial models for claim projection and rate setting.
  </li>
  <li>
   Provide market benchmarks for medical benefits schemes and assess the impact of product changes.
  </li>
  <li>
   Support client renewals by reviewing carrier quotes, underwriting assumptions, and summarizing cost drivers for client presentations.
  </li>
  <li>
   Contribute to strategic recommendations, such as plan design changes, cost containment strategies, and wellness initiatives.
  </li>
  <li>
   Prepare and present analytical findings to clients and internal stakeholders, translating complex data into actionable insights and recommendations.
  </li>
  <li>
   Collaborate with carriers to negotiate favorable terms and communicate actuarial advice.
  </li>
  <li>
   Monitor regulatory updates and industry trends impacting health insurance plans and rating methodologies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in actuarial science, Mathematics, Statistics, Finance, or a related field.
  </li>
  <li>
   2-3 years of actuarial experience, preferably within health insurance or employee benefits brokerage/consulting.
  </li>
  <li>
   Advanced proficiency in MS PowerPoint, Excel, and data analytics; experience with VBA, SQL, or Power BI is desirable.
  </li>
  <li>
   Strong communication skills with proven ability to explain technical data to non-actuarial audiences.
  </li>
  <li>
   Effective project management skills and ability to handle multiple client deliverables under tight deadlines.
  </li>
  <li>
   Experience working in the medical field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   KSA HR Notice:
  </strong>
 </p>
 <p>
  Aon is committed to fostering a work environment in compliance with the Kingdom of Saudi Arabia&rsquo;s local labor regulations and Saudization requirements. We encourage applications from qualified Saudi nationals. All hiring practices and employment terms will adhere to the Kingdom&rsquo;s labor policies. We ensure fair consideration and equal opportunity to all candidates, supporting a diverse and inclusive workplace.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Aon:
  </strong>
 </p>
 <p>
  Aon plc (NYSE: AON) exists to shape decisions for the better &mdash; to protect and enrich the lives of people around the world. Our colleagues provide customers in over 120 countries and sovereignties with expertise across risk, retirement, and health solutions. Aon is dedicated to fostering an inclusive culture, developing talent, and helping clients make better decisions that drive business success.
 </p>
 <p>
 </p>
</div>


Senior Actuarial Analyst

Explore 1515+ Senior data analyst in Riyadh this May. Find roles across top companies and apply now to boost your career.

1515 senior data analyst jobs In Riyadh

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