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MASTER-WORKS

<div>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.
Key Responsibilities:<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>Requirements<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>Nationality: 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.

SSC HR Solutions

<div>
 We are seeking a detail-oriented and analytical
 
 Data Analyst
 
 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.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 
 Qualifications:
 
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 
 Preferred Attributes:
 
 
 
 
 <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

Devoteam

<div>
 
 
 Company Description
 
 
 
 
 
 Tech for People Unlocks the Future
 
 
 
 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.
 
 
 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.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 <ol>
 <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,&nbsp;
 
 
 </li>
 </ol>
 
 knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 
 
 Because alone, we go faster &ndash; but together, we go further.
 
 
 
 
 Values:
 
 
 <ol>
 <li>
 
 Respect
 
 </li>
 <li>
 
 Frankness
 
 </li>
 <li>
 
 Passion
 
 
 </li>
 </ol>
 
 Business Unit:
 
 
 
 Data &amp; Intelligence&nbsp;
 
 
 
 Level:
 
 
 
 Senior to Managerial -level
 
 
 
 
 To know more about us, please visit:&nbsp;www.devoteam.com
 
 
 
 
 Job Description
 
 
 
 
 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.
 
 
 
 Technical and Analytical Capabilities:
 
 
 
 - Advanced Excel Skills: Pivot tables, advanced formulas, scenario modeling.
 
 
 - Proficiency with Data Querying: SQL for data retrieval and manipulation.
 
 
 - Data Visualization: Tableau, Power BI, Looker to develop interactive dashboards.
 
 
 - Analytical Programming: Familiarity with Python or R for exploratory analysis.
 
 
 - Understanding of Data Warehousing: Experience with relational databases and data structures for efficient data extraction and interpretation.
 
 
 - Statistical Methods: Capability to perform descriptive analytics, correlation, and regression analysis to interpret business performance.
 
 
 &nbsp;
 
 
 
 Business-Oriented Capabilities:
 
 
 
 -Business Acumen: Deep understanding of organizational processes, strategies, and KPIs to interpret data in relevant business contexts.
 
 
 -Requirement Elicitation: Ability to gather, clarify, and refine business stakeholder needs and convert them into analytical tasks.
 
 
 -Strategic Thinking: Align data analysis with business objectives, proactively identifying opportunities and recommending improvements.
 
 
 
 Communication and Soft Skills:
 
 
 
 -Strong Communication: Clearly explain analytical findings in straightforward business language, tailored to different stakeholders (including executives).
 
 
 -Data Storytelling: Ability to craft compelling narratives from data to highlight actionable insights.
 
 
 -Stakeholder Management: Comfortably interacting across departments, from technical teams to senior business executives.
 
 
 Problem-Solving and Critical Thinking: Proactively identify issues and approach business challenges analytically, offering practical solutions.
 
 
 
 Project and Task Management:
 
 
 
 -Project Leadership: Independently manage end-to-end analytical projects from requirement gathering to delivering insights.
 
 
 -Time Management: Efficiently prioritize multiple concurrent tasks or projects to meet deadlines and business expectations.
 
 
 -Documentation and Reporting: Maintain comprehensive documentation of analytical methodologies and findings, ensuring transparency and reproducibility.
 
 
 
 
 Qualifications
 
 
 
 <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)
 
 
 &nbsp;
 </li>
 </ul>
 
 
 
 Additional Information
 
 
 
 
 Level: Mid-senior Level&nbsp;
 
 
 Business Unit: Data Intelegince&nbsp;
 
</div>

Business Data Analyst

Al Safi Danone | الصافي دانون

<div>
 
 
 Role Purpose:
 
 
 
 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
 
 
 
 
 
 
 Key Accountabilities:
 
 
 <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>
 
 
 
 
 
 Operational Reporting:
 
 
 
 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
 
 
 
 
 
 
 Market Analytics:
 
 
 
 Retail Audit (Value/Volume)&ndash; C4, Competitive Intelligence, POS Data, Pricing/Promo Tracker, Promo Intensity Tracker, Sales Contest Tracker
 
 
 
 
 
 
 Education and Certification Requirements:
 
 
 <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>
 
 
</div>

Sales Data analyst

Supertech Group

<div>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?
If yes, then this is the job you are looking for , webook.com is Saudi&rsquo;s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.
&#65279;Key Responsibilities:&#65279;<ul>
<li>Analyze and mining business data to identify patterns and correlations among the various data points.</li>
<li>Map and trace data within the enterprise data framework in order to solve a given business or system problem.</li>
<li>Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.</li>
<li>Perform statistical analysis of the enterprise data. Extract existing data to manipulate/calculate/format into useful presentations.</li>
<li>Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies .</li>
<li>Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.</li>
<li>Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.</li>
<li>Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.</li>
<li>Must support innovations by actively keeping technical and professional business knowledge current on emerging technology and Data Trends which may fit with enterprise needs. Must be able to research and accurately articulate benefits and goals of these technologies.</li>
</ul>Requirements<ul>
&#65279;<li>Bachelors Degree in &#65279;in Computer Science, Management Information Systems, or a related field.</li>
<li>Minimum of 4 years expiriance</li>
<li>Overall Experience in information systems; background experience in ETL Processes, Application Development, Report Development, and Data Warehouse Projects.</li>
&#65279; </ul>Skills:&#65279;<ul>
<li>Proficient in English written and verbal communication skills</li>
<li>Demonstrates excellent judgment and decision making skills</li>
<li>Demonstrated time management and priority setting skills</li>
<li>Excellent organizational skills</li>
<li>Possesses strong product knowledge</li>
<li>Possesses strong technical aptitude</li></ul></div>

Senior Data Analyst

Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

<div>
 
 
 Job Purpose - الغرض من الوظيفة
 
 
 
 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).
 
 
 
 
 
 
 Responsibilities - المسؤوليات
 
 
 <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>
 
 
 
 
 
 Requirement and Qualifications - المتطلبات والمؤهلات
 
 
 <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>
 
 
 
 
 
 Skills - المهارات
 
 
 
 
 Technical Skills:
 
 
 <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>
 
 
 
 
 
 Soft Skills:
 
 
 <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>
 
 
</div>

Data Analysis Specialist - أخصائي تحليل بيانات

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. 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 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.
 
 
 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.
 
 
 In the Healthcare Team, we act entrepreneurially. Therefore, we are looking for someone motivated to continuously improve the status quo and drive this independently.
 
 
 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.
 
 
 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>
 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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