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business analyst - banking domain Jobs in Riyadh

business analyst - banking domain

data managment consultant

data analytics analyst

SSC HR Solutions

<div>
 We are seeking a detail-oriented and analytical
 <strong>
  Data Analyst
 </strong>
 to support data-driven decision-making across our business operations. The successful candidate will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights that drive efficiency, profitability, and strategic growth.
 <br/>
 <br/>
 <strong>
  <strong>
   Key Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Collect, clean, and interpret large datasets from multiple internal and external sources.
  </li>
  <li>
   Analyze business trends and performance using statistical tools and data visualization techniques.
  </li>
  <li>
   Generate regular and ad-hoc reports to support management decision-making.
  </li>
  <li>
   Work closely with cross-functional teams (Sales, Operations, Finance, Procurement) to identify business opportunities and improve processes.
  </li>
  <li>
   Develop dashboards and KPIs using tools such as Power BI, Tableau, or Excel.
  </li>
  <li>
   Create predictive models to support forecasting and demand planning.
  </li>
  <li>
   Ensure data accuracy and integrity across all reporting platforms.
  </li>
  <li>
   Present findings and recommendations to stakeholders in a clear, concise manner.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Bachelor's degree in data science, Statistics, Computer Science, Business Analytics, or a related field.
  </li>
  <li>
   2+ years of experience in data analysis, preferably in a trading or commercial environment.
  </li>
  <li>
   Proficiency in SQL, Microsoft Excel, and data visualization tools (e.g., Power BI, Tableau).
  </li>
  <li>
   Experience with Python or R for data analysis is a plus.
  </li>
  <li>
   Strong analytical and problem-solving skills with keen attention to detail.
  </li>
  <li>
   Excellent communication and presentation skills in English; Arabic is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Preferred Attributes:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Experience working in trading, distribution, or FMCG industries.
  </li>
  <li>
   Ability to manage multiple tasks and meet deadlines in a dynamic environment.
  </li>
  <li>
   Understanding of ERP systems (such as SAP, Oracle, or Microsoft Dynamics)
  </li>
 </ul>
</div>


Data Analyst

Al Safi Danone | الصافي دانون

<div>
 <p>
  <strong>
   Role Purpose:
  </strong>
 </p>
 <p>
  To support the General Sales &amp; Distribution Manager by administering and maintaining an accurate data base, besides providing daily, weekly, and monthly Sales Reports and managing the Ordering cycle in line with the weekly and monthly target phasing to ensure compliance with the company Annual Business Plan
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities:
  </strong>
 </p>
 <ul>
  <li>
   Provide daily Sales and Distribution reports to identify the daily performance of the Distributors&rsquo;&rsquo; teams
  </li>
  <li>
   Liaise with Distributors&rsquo; Sales Coordinators and ASD Finance and Supply Chain to ensure the order execution and the delivery cycle
  </li>
  <li>
   Coordinate Weekly Plans with the Unit
  </li>
  <li>
   Check data accuracy in orders and invoices
  </li>
  <li>
   Contact clients to obtain missing information or answer queries
  </li>
  <li>
   Liaise with the Logistics department to ensure timely deliveries
  </li>
  <li>
   Maintain and update sales and customer records
  </li>
  <li>
   Develop monthly sales reports
  </li>
  <li>
   Share Daily Sales and Distribution Reports
  </li>
  <li>
   Share Weekly Sales Analyses Reports
  </li>
  <li>
   Communicate important feedback from customers internally
  </li>
  <li>
   Ensure sales targets are met and report any deviations
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Operational Reporting:
  </strong>
 </p>
 <p>
  Daily Sales, Daily Shipments, Daily Orders/ Cancellations, Pricelist, Forecast Compilation, Financial Reconciliation, Profitability Tracker, Monthly Closing, YTD Progress, Business Analysis/Trends (Channel &amp; Region Sales), Distribution Progress, Sales Commission, Sales KPI&rsquo;s, PO/ Invoicing
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Market Analytics:
  </strong>
 </p>
 <p>
  Retail Audit (Value/Volume)&ndash; C4, Competitive Intelligence, POS Data, Pricing/Promo Tracker, Promo Intensity Tracker, Sales Contest Tracker
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education and Certification Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Diploma/Bs in Business Management or relevant
  </li>
  <li>
   3-5 Years of Experience as Sales Admin/Analyst is FMCG Industry
  </li>
 </ul>
 <p>
 </p>
</div>


Sales Data analyst

MASTER-WORKS

<div><p>Master-Works is excited to announce an opening for a Data Analyst to join our innovative and collaborative team. In this position, you will play a pivotal role in analyzing data to help guide strategic decisions and improve business operations. Your analytical insights will be critical in fostering a data-driven culture within the organization.</p><p><b>
Key Responsibilities:</b></p><ul>
<li>Gather and analyze data from a variety of sources to make informed business recommendations.</li>
<li>Design and create comprehensive dashboards and reports to visualize key metrics and performance indicators.</li>
<li>Partner with cross-functional teams to understand their data requirements and deliver impactful data solutions.</li>
<li>Utilize statistical techniques to identify trends, patterns, and relationships within datasets.</li>
<li>Communicate analysis results and insights to management and other stakeholders in an understandable manner.</li>
<li>Ensure data accuracy and integrity by implementing rigorous data validation processes.</li>
<li>Stay updated on industry trends and emerging technologies in data analysis and apply them where appropriate.</li>
</ul><p><b>Requirements</b></p><ul>
<li>A Bachelor's degree in Data Science, Mathematics, Statistics, or a related field.</li>
<li>A minimum of 2-3 years of experience in a Data Analyst role or similar.</li>
<li><b>Nationality:</b> Saudi.</li>
<li>Strong proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI.</li>
<li>Excellent analytical and problem-solving skills, with a strong attention to detail.</li>
<li>Experience in statistical analysis and familiarity with data modeling techniques.</li>
<li>Strong communication skills with the ability to present complex data insights to non-technical audiences.</li>
<li>A team-oriented individual who thrives in a collaborative environment.</li></ul></div>

Data Analyst.

Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

<div>
 <p>
  <strong>
   Job Purpose - الغرض من الوظيفة
  </strong>
 </p>
 <p>
  The Data Analyst will play a key role in improving the quality of patient safety data at the Saudi Patient Safety Center (SPSC). By applying advanced statistical and analytical methods, the analyst will generate evidence-based reports, develop national patient safety KPIs, and support decision-making at both national and international levels - سيساهم محلل البيانات بدور محوري في تحسين جودة بيانات سلامة المرضى في المركز السعودي لسلامة المرضى ومن خلال تطبيق الأساليب الإحصائية والتحليلية المتقدمة، سيقوم المحلل بإعداد تقارير قائمة على الأدلة، وتطوير مؤشرات أداء وطنية لسلامة المرضى، ودعم عملية اتخاذ القرار على المستويين الوطني والدولي. ويسهم هذا الدور بشكل مباشر في تعزيز مكانة المركز كجهة وطنية رائدة ذات شراكات دولية ومعترف بها من قبل منظمة الصحة العالمية (WHO).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities - المسؤوليات
  </strong>
 </p>
 <ul>
  <li>
   Collect, clean, analyze, and present findings of healthcare data using advanced statistical tools and methods - جمع البيانات الصحية وتنظيفها وتحليلها وعرض نتائجها باستخدام أدوات وأساليب إحصائية متقدمة.
  </li>
  <li>
   Prepare reports highlighting trends, risks, and recommendations for performance improvement - إعداد تقارير تسلط الضوء على الاتجاهات والمخاطر والتوصيات اللازمة لتحسين الأداء.
  </li>
  <li>
   Collaborate with clinical teams to interpret findings and implement evidence-based improvements - التعاون مع الفرق السريرية لتفسير النتائج وتطبيق التحسينات المبنية على الأدلة.
  </li>
  <li>
   Support research studies and national/international projects related to patient safety - دعم الدراسات البحثية والمشاريع الوطنية والدولية ذات الصلة بسلامة المرضى.
  </li>
  <li>
   Develop, monitor, and evaluate patient safety Key Performance Indicators (KPIs) - تطوير ومتابعة وتقييم مؤشرات الأداء الرئيسة (KPIs) الخاصة بسلامة المرضى.
  </li>
  <li>
   Ensure accuracy, integrity, and quality assurance of data before reporting - ضمان دقة ونزاهة البيانات وجودتها قبل نشرها أو الإبلاغ عنها.
  </li>
  <li>
   Contribute to strengthening SPSC&rsquo;s international reporting and benchmarking in line with WHO standards - الإسهام في تعزيز التقارير الدولية والمقارنات المرجعية للمركز بما يتماشى مع معايير منظمة الصحة العالمية.
  </li>
  <li>
   Create dashboards and visualization tools (Power BI/Tableau) to facilitate decision-making in patient safety - إنشاء لوحات متابعة وأدوات عرض بيانية (Power BI/Tableau) لدعم عملية اتخاذ القرار في مجال سلامة المرضى.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirement and Qualifications - المتطلبات والمؤهلات
  </strong>
 </p>
 <ul>
  <li>
   Bachelor or Master&rsquo;s degree in Biostatistics, Epidemiology, Health Data Science, or a related field - درجة الباكلوريوس او الماجستير في الإحصاء الحيوي، علم الأوبئة، علوم بيانات الصحة، أو مجال ذي صلة.
  </li>
  <li>
   Minimum of 4 years&rsquo; experience in biostatistics or healthcare data analysis, Experience in patient safety data domains is preferred.
  </li>
  <li>
   Patient Safety certification - شهادة في سلامة المرضى.
  </li>
  <li>
   Certified Professional in Healthcare Quality (CPHQ) - أخصائي معتمد في جودة الرعاية الصحية
  </li>
  <li>
   Machine Learning specialization - تخصص في التعلم الآلي.
  </li>
  <li>
   Lean Six Sigma Green/Black Belt - لين سقما
  </li>
  <li>
   Certified Health Data Analyst (CHDA) - محلل بيانات صحية معتمدة
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills - المهارات
  </strong>
 </p>
 <p>
  <strong>
   Technical Skills:
  </strong>
 </p>
 <ul>
  <li>
   Proficiency in statistical software and tools such as SAS, R, SPSS, Power BI, or Python - إجادة استخدام البرمجيات والأدوات الإحصائية مثل SAS، R، SPSS، Power BI أو Python.
  </li>
  <li>
   Strong SQL and data querying from relational databases or cloud-based environments - إتقان SQL واستخراج البيانات من قواعد البيانات العلائقية أو البيئات السحابية.
  </li>
  <li>
   Advanced analytical and problem-solving skills, with ability to extract meaningful insights - مهارات تحليلية متقدمة وحل المشكلات مع القدرة على استنتاج رؤى ذات مغزى.
  </li>
  <li>
   Strong reporting skills with ability to communicate complex findings clearly - مهارات قوية في إعداد التقارير وعرض النتائج المعقدة بشكل واضح.
  </li>
  <li>
   Ensure data accuracy, quality, and security in compliance with internal policies and data governance standards - ضمان دقة وجودة وأمن البيانات بما يتماشى مع السياسات الداخلية ومعايير حوكمة البيانات.
  </li>
  <li>
   Cross-functional Collaboration - القدرة على التعاون الفعال مع فرق متعددة التخصصات.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills:
  </strong>
 </p>
 <ul>
  <li>
   Strong communication and data presentation abilities for clinical and non-clinical audiences - قدرات تواصل متميزة وعرض البيانات بطريقة مناسبة للجمهور السريري وغير السريري.
  </li>
  <li>
   High attention to detail and accuracy in data work - دقة عالية واهتمام بالتفاصيل في العمل مع البيانات.
  </li>
  <li>
   Ability to collaborate effectively in multidisciplinary teams - القدرة على التعاون والعمل الجماعي بفعالية.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Analysis Specialist - أخصائي تحليل بيانات

Confidential Government

<div>
 <p>
  We are looking for professionals with practical experience in data analytics, business intelligence, or data visualization, ideal candidates with hands-on exposure to data visualization tools and strong understanding of data preparation, modeling, and reporting best practices.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Collect, analyze, and interpret large datasets to uncover trends and opportunities.
  </li>
  <li>
   Develop interactive dashboards and reports using leading visualization tools (Power BI, Tableau, or similar).
  </li>
  <li>
   Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
  </li>
  <li>
   Present insights in a clear, engaging, and actionable manner for both technical and non-technical stakeholders.
  </li>
  <li>
   Ensure data accuracy, integrity, and consistency across all analytics and reporting outputs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Certification :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related field.
  </li>
  <li>
   Proficiency in SQL and data visualization platforms (Power BI, Tableau, Qlik, etc.).
  </li>
  <li>
   Professional certifications in data analysis and data visualization is preferred
  </li>
 </ul>
 <p>
 </p>
</div>


Data Analytics & Visualization, Business Intelligence

United Nations

<div><div><div><div>Result of Service
</div><div>The incumbent will be responsible for: - A comprehensive analytical report mapping the UNSDCF 2022-2026 and JWPs to the UN Six Transitions and Quintet of Change, identifying gaps and opportunities to inform the design of the 2027-2031 UNSDCF. - Impact-focused results matrix per Strategic Priority Area, aligned with financial implementation and KPI progress for the UNSDCF Annual Performance Review. - Cleaned, structured, and secure datasets integrated from multiple sources (e.g., UN INFO, SharePoint, IMS) for use in digital solutions and reporting. - Interactive dashboards and data visualizations, plus enhanced reporting modules that generate tables, charts, and graphs, to monitor UNCT and RCO tasks, results, and performance indicators, tailored for senior leadership and task tracking. - A final consultancy report including key findings, lessons learned, and a handover plan with documentation and tools for sustained use by the RCO team.
</div></div><div><div>Work Location
</div><div>Remote
</div></div><div><div>Expected duration
</div><div>5 months
</div></div><div><div>Duties and Responsibilities
</div><div>Background: The UN Secretary-General&rsquo;s Development System reform, launched on 1 January 2019 in response to General Assembly resolution 71/243, repositions the UN Development System to deliver on the 2030 Agenda for dignity, prosperity and peace on a healthy planet. Central to this process, and as further mandated by General Assembly resolution 72/279, a new generation of UN Resident Coordinator Offices (RCO) across the world are being strengthened under the leadership of an empowered UN Resident Coordinator (RC), the highest-ranking representative of the UN Development System at country level. Under the reformed UN Development System, the reinvigorated RC system has created new frameworks, instruments, tools, and platforms to strengthen coordination, enhance accountability, and improve transparency regarding the UN&rsquo;s collective support to Member States. Among these tools is the online platform UN INFO, a &ldquo;one-stop-shop&rdquo; for RCOs/UN Country Teams (UNCT) in tracking progress and monitoring results, which facilitates data harmonization and demonstrates the collective contributions of UNCTs toward the 2030 Agenda. To effectively support the work of UNCT in support of national aspirations, the RCO aims to further develop its digital capacities to manage and track tasks more efficiently, strengthen data management practices, and enhance its ability to analyze and report on key activities. The objective of this consultancy is to engage a Junior Digital Solutions Analyst who will provide support in data collection, analysis, and reporting through the use of Digital Solutions. By enhancing both task coordination and data-driven decision-making, this consultancy will assist the RCO in Saudi Arabia effectively coordinate support to the UNCT. Work assignment: 1. Data analysis and strategic alignment &bull; Analyse data and documentation from the United Nations Sustainable Development Coopertion framework (UNSDCF) 2022-2026, Joint Work Plans (JWPs) 2022-2025, and map against the UN Six Transitions and the Quintet of Change. &bull; Identify gaps, challenges, and emerging opportunities to inform the design of the next UNSDCF 2027-2031. &bull; Develop a visual matrix linking current outcomes and outputs to the six transitions and the five shifts, highlighting under-represented areas and opportunities. &bull; Develop a foresight-informed diagnostic analysis using key thematic trends and projections. 2. Support to UNSDCF Annual Review and results quality assurance &bull; Assist the drafting of the UNSDCF Annual Performance Review by conducting structured consultations with Results Groups (RGs), Programme Support Team (PST) members, and UN INFO focal points to validate and cross-check data submitted through UN INFO and SharePoint. &bull; Map the results achieved under each Strategic Priority Area, with a focus on progress made in key performance indicators (KPIs), financial delivery, and demonstrated impact. &bull; Provide analytical feedback on the relevance, measurability, and coherence of reported results and indicators, ensuring alignment with the UNSDCF and UN INFO reporting. &bull; Identify data inconsistencies, gaps, or redundancies and recommend actions to improve quality and consistency of future reporting cycles. 3. Data collection, processing, and integration &bull; Identify, retrieve, and consolidate data from UN INFO, Country Analysis, UNSDCF documents, Information Management System (IMS), and SharePoint. &bull; Clean, structure, and format datasets for compatibility with the digital platforms, ensuring data consistency. &bull; Apply data transformation tools (e.g., Excel macros, Power Query, Power BI) to automate recurrent cleaning and validation tasks. &bull; Generate insights and visual summaries to support evidence-based decision-making across the RCO/UNCT/PST 4. Reporting, dashboards, and visualization &bull; Design and implement reporting modules (charts, graphs, summaries) to monitor tasks, deliverables, and results in real time. &bull; Develop user-friendly dashboards for RCO/UNCT leadership, integrating key performance indicators and timelines. 5. knowledge transfer &bull; Provide on-the-job knowledge to RCO colleagues on the use of analytical tools and dashboards produced based on the results captured &bull; Support development of SOPs or guidance notes on data workflows, dashboard use, and reporting protocols. 6. Quality assurance and final deliverables &bull; Conduct thorough data quality reviews throughout the consultancy period. &bull; Prepare a final report summarizing: - Key achievements, - Challenges and lessons learned, - Recommendations for sustainability, - Handover guidance for future system maintenance and stakeholder engagement.
</div></div><div><div>Qualifications/special skills
</div><div>Enrollment or graduated from a Master's or Higher degree in social sciences, economics, public health, law or related area is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 1 year of professional work experience in data analytics, data cleaning, and/or general SDG data experience is required.
</div></div><div><div>Languages
</div><div>English and French are the working languages of the United Nations Secretariat. For this position, fluency in English is required and knowledge of Arabic is desirable. Note: &ldquo;Fluency&rdquo; equals a rating of &lsquo;fluent&rsquo; in all four areas (speak, read, write, and understand) and &ldquo;Knowledge of&rdquo; equals a rating of &lsquo;confident&rsquo; in two of the four areas.
</div></div><div><div>Additional Information
</div><div>Not available.
</div></div><div><div>No Fee
</div><div>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS&rsquo; BANK ACCOUNTS.</div></div></div></div>

Data and Digital Solutions 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. 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>
 In the role of a Healthcare 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 In the Healthcare Team, we act entrepreneurially. Therefore, we are looking for someone motivated to continuously improve the status quo and drive this independently.
 <br/>
 <br/>
 As a Healthcare Analytics Analyst, you are expected to have experience handling large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large datasets, 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.
 <br/>
 <br/>
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <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>
   An interest to dive into healthcare topics; Experience within the Saudi healthcare system is a plus
  </li>
  <li>
   Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
  </li>
  <li>
   Experience with omics data (genomic, proteomic, etc)
  </li>
  <li>
   Expertise within regulatory compliance (HIPAA, GDPR) and FDA guidelines for software as a medical device (SaMD)
  </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>
   Convincing written and verbal communication in Arabic and English
  </li>
 </ul>
</div>


Senior Analyst - Healthcare Analytics

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