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data analytics specialist

Dentsu

<div></div><div><div>Job Description:</div><div><div><div>
About the Role</div><div><br>
The Data &amp; Analytics Specialist will analyze media and marketing data to generate actionable insights that drive performance improvement. You&rsquo;ll work with planners, strategists, and clients to translate data into meaningful narratives and optimization opportunities.</div></div><div></div><div><div>
Key Responsibilities</div></div><div></div><div><ul><li><div>
Collect, clean, and analyze data from multiple marketing and media sources.</div></li></ul></div><div><ul><li><div>
Build dashboards and performance reports for clients and internal teams.</div></li></ul></div><div><ul><li><div>
Identify trends, insights, and optimization opportunities.</div></li></ul></div><div><ul><li><div>
Collaborate with media and strategy teams to align measurement frameworks.</div></li></ul></div><div><ul><li><div>
Support A/B testing, attribution modeling, and effectiveness analysis.</div></li></ul></div><div><ul><li><div>
Ensure data accuracy and consistency across platforms.</div></li></ul></div><div></div><div><div>
Requirements</div></div><div></div><div><ul><li><div>
3&ndash;5 years of experience in analytics, data visualization, or media performance.</div></li></ul></div><div><ul><li><div>
Proficiency in tools like Power BI, Google Data Studio, or Tableau.</div></li></ul></div><div><ul><li><div>
Solid understanding of digital metrics, tracking, and attribution.</div></li></ul></div><div><ul><li><div>
Strong analytical and storytelling skills.</div></li></ul></div><div><ul><li><div>
Detail-oriented, structured, and proactive.</div></li></ul></div></div><div></div><div><br>
Location:</div>
Riyadh<div></div><div>
Brand:</div>
Dentsu<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent</div>

Data & Analytics Specialist

DeepSource Technologies

The Data Scientist Architect will take the lead in designing and implementing advanced analytics solutions that drive data-driven decision-making across the organization. This role involves creating scalable data architectures, developing machine learning models, and collaborating closely with cross-functional teams to integrate analytics initiatives into business operations. You will play a critical role in architecting data solutions that support innovative analytics at DeepSource Technologies.
<br><br>
<b>Key Responsibilities:</b><br>
<ul>
<li>Design and oversee the construction of robust data architectures and pipelines to support extensive data analysis and modeling.</li>
<li>Lead the development of machine learning algorithms and predictive models tailored to enhance business outcomes.</li>
<li>Collaborate with data engineers and other stakeholders to ensure seamless data integration and optimization of data processing workflows.</li>
<li>Conduct exploratory data analysis to uncover insights and trends that inform strategic business initiatives.</li>
<li>Translate complex analytical results into actionable insights for non-technical stakeholders.</li>
<li>Establish best practices for data governance, model validation, and testing in analytics.</li>
<li>Stay updated with the latest advancements in data science, machine learning, and artificial intelligence to drive innovation.</li>
<li>Mentor and guide junior data scientists and analytics teams to foster a culture of continuous learning and improvement.</li>
<li>Document analytics processes, methodologies, and findings for internal reference and reporting purposes.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Ph.D. or Master's degree in Computer Science, Data Science, Statistics, or related field.</li>
<li>7+ years of experience in data science, machine learning, and analytics roles, with at least 3 years in an architectural or leadership position.</li>
<li>Strong expertise in designing and implementing data architectures and workflows for large datasets.</li>
<li>Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Strong programming skills in Python and experience with SQL and databases (e.g., PostgreSQL, NoSQL).</li>
<li>Experience in cloud environments and tools (AWS, Azure, or Google Cloud).</li>
<li>Ability to communicate complex concepts clearly to a broad audience.</li>
<li>Strong analytical and problem-solving skills with a focus on results.</li>
<li>Published research papers or significant contributions to open-source projects in the field of data science are a plus.</li>
</ul>
<b>Benefits:</b><br>
<ul>
<li>Health Insurance</li>
<li>Social Insurance</li>
</ul>


Data Science Expert - KSA

Riyadh Air

<div>About the Company:
<p>
Riyadh Air (RX), headquartered in the Saudi Capital, is the new national airline that&rsquo;s shaping the future of flying. It seeks to lead the aviation industry by transforming Saudi Arabia into a global aviation and trade hub &ndash; a digitally native airline that will connect the kingdom to more than 100 destinations.
</p>About the Role:
<p>
Are you a technically minded analytics professional who&rsquo;s passionate about enabling data&#8209;driven decisions through precise tracking and implementation?</p><p></p><p><br>
Yours will be a role that leads all reporting and analytics across RX digital ecosystem to ensure complete, consistent, and accurate tracking of user interactions, enabling insight&#8209;driven optimization of guest journeys, performance measurement, and campaign effectiveness.</p><p></p><p><br>
Moreover, you will champion customer and data-centric culture, leveraging advanced platforms like Adobe Customer Journey Analytics (CJA) and Contentsquare.</p><p><br>
</p><p>You'll work closely with Digital Delivery teams, Product Owners, and cross&#8209;functional stakeholders to translate business needs into data driven decision- making.</p><p></p><p><br>
Critically, you will be responsible to support the implementation team by validating key digital events, identifying discrepancies, and flagging potential data gaps to ensure accurate data capture.</p><p></p><p><br>
Beyond reporting, you&rsquo;ll explore automation opportunities and scaling frameworks to future&#8209;proof RX analytics infrastructure.</p><p></p><p><i><br>
Drive innovation that matters, help us deliver smarter, more personalised customer experiences at scale.
</i></p>About You:
<p>
Degree qualified, you will demonstrate a minimum of 6 year's experience in digital analytics and performance reporting.</p><p></p><p><br>
You'll have experience working across complex web and app environments, event-level tracking, dataLayer structures, and comprehensive digital analytics frameworks.</p><p></p><p><br>
Importantly, you are proficient in digital analytics platforms, including Adobe Customer Journey Analytics (CJA), Contentsquare, and other web/app analytics solutions.</p><p></p><p><br>
We'd love to hear from you even more if you can demonstrate experience applying AI-driven insights to optimize digital performance.</p><p></p><p><br>
This is your opportunity to shape the future of air travel. Bring your best and show us why you can own this position within Riyadh Air.</p><p><br>
</p><p>Please submit your application by clicking the Apply button. Our Talent Acquisition team will be reviewing applications shortly.</p></div>

Digital Analytics Insights Manager

Qiam real estate

<p><b>Data Analyst &ndash; Full-time | Riyadh, Saudi Arabia</b></p><p>The <b>Data Analyst</b> will be responsible for collecting, processing, and analyzing large data sets to provide actionable insights that drive business decisions. This role involves collaborating with cross-functional teams to understand data needs, create analytical reports, and support organizational strategy through data-driven insights.</p><p><b>Key Responsibilities:</b></p><ul><li>Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.</li><li>Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights.</li><li>Design and maintain dashboards and reports using visualization tools (e.g., Power BI, Tableau).</li><li>Work closely with business stakeholders to translate data findings into strategic recommendations.</li><li>Support business decisions through statistical analysis, forecasting, and modeling.</li><li>Build and maintain data pipelines and contribute to data governance and quality improvement initiatives.</li><li>Collaborate with Data Engineers and Data Scientists to ensure proper data architecture and integration.</li><li>Document analytical methodologies, data sources, and business rules for future reference.</li><li>Develop automated reports and performance tracking metrics to enhance operational efficiency.</li><li>Ensure compliance with company data policies and data privacy regulations.</li></ul><p><b>Skills &amp; Competencies:</b></p><ul><li>Strong proficiency in <b>SQL</b> and experience with relational databases (SQL Server, Oracle, PostgreSQL).</li><li>Hands-on experience with <b>data visualization tools</b> such as <b>Power BI</b>, <b>Tableau</b>, or <b>Looker</b>.</li><li>Proficiency in <b>Python</b> or <b>R</b> for data analysis and automation.</li><li>Strong understanding of <b>data modeling</b>, <b>ETL processes</b>, and <b>data warehousing</b> concepts.</li><li>Analytical thinking with excellent problem-solving and communication skills.</li><li>Familiarity with <b>cloud data platforms</b> (Azure, AWS, or Google Cloud) is a plus.</li><li>Solid knowledge of <b>statistics</b> and experience applying statistical techniques in business contexts.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in <b>Computer Science, Information Systems, Statistics, Mathematics</b>, or a related field.</li><li>Minimum of <b>5 years of professional experience</b> as a Data Analyst or in a similar role.</li><li>Proven experience handling complex datasets and delivering analytical insights that support decision-making.</li></ul><p><b>Preferred:</b></p><ul><li>Experience in data governance and data quality management.</li><li>Exposure to machine learning or predictive analytics concepts.</li><li>Certification in <b>Power BI</b>, <b>Tableau</b>, or <b>Azure Data Analyst</b> is an advantage.</li></ul><p>&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;</p><p>&#1575;&#1604;&#1585;&#1575;&#1578;&#1576; &#1575;&#1604;&#1605;&#1583;&#1601;&#1608;&#1593;: &#65020;&#1633;&#1637;&#1644;&#1632;&#1632;&#1632;&#1643;&#1632;&#1632;&nbsp;&#1604;&#1603;&#1604; &#1588;&#1607;&#1585;</p><p>&#1587;&#1572;&#1575;&#1604; (&#1571;&#1587;&#1574;&#1604;&#1577;) &#1591;&#1604;&#1576; &#1575;&#1604;&#1578;&#1602;&#1583;&#1605;:</p><ul><li>?What is your current salary</li><li>?What is your expected salary</li></ul>

محلل بيانات | Data Analyst

QuantumBlack, AI by McKinsey

<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 use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 <br/>
 <br/>
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and initiating new lines of thinking within an infinite number of clients and situations.
 <br/>
 <br/>
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 <br/>
 <br/>
 You will be based in our Cairo office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 <br/>
 <br/>
 Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
  </li>
  <li>
   3+ years of professional experience in programming; experience applied to business problems is a plus
  </li>
  <li>
   Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
  </li>
  <li>
   Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
  </li>
  <li>
   Demonstrated aptitude for analytics; statistical knowledge is a plus
  </li>
  <li>
   Proven record of leadership in a work setting and/or through extracurricular activities
  </li>
  <li>
   Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
  </li>
  <li>
   Ability to communicate complex ideas effectively, both verbally and in writing, in English required; fluency in local office language(s) is a plus
  </li>
 </ul>
</div>


Data Scientist II - QuantumBlack, AI by McKinsey

<p><b>Senior Data Scientist &ndash; Full-time | Riyadh, Saudi Arabia</b></p><p><b>Overview:</b><br/>The Senior Data Scientist is responsible for collecting, processing, and analyzing large datasets to provide actionable insights that support data-driven decision-making. The role requires close collaboration with cross-functional teams to understand data needs, generate analytical reports, and enhance organizational strategy.</p><p><b>Key Responsibilities</b></p><ul><li>Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.</li><li>Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights.</li><li>Design and maintain dashboards and reports using tools such as <b>Power BI</b>, <b>Tableau</b>, etc.</li><li>Work with stakeholders to translate analytical findings into strategic recommendations.</li><li>Support business decisions using statistical analysis, forecasting, and modeling.</li><li>Build and maintain data pipelines and contribute to data governance and quality improvements.</li><li>Collaborate with Data Engineers and Data Scientists to ensure proper data architecture and integration.</li><li>Document methodologies, data sources, and business rules for future reference.</li><li>Develop automated reports and performance metrics to enhance operational efficiency.</li><li>Ensure compliance with data privacy regulations and internal data policies.</li></ul><p><b>Skills &amp; Competencies</b></p><ul><li>Strong proficiency in <b>SQL</b> and experience with relational databases (SQL Server, Oracle, PostgreSQL).</li><li>Hands-on experience with data visualization tools (<b>Power BI</b>, <b>Tableau</b>, <b>Looker</b>).</li><li>Proficiency in <b>Python</b> or <b>R</b> for analysis and automation.</li><li>Strong understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Familiarity with cloud platforms (<b>Azure</b>, <b>AWS</b>, <b>Google Cloud</b>) is a plus.</li><li>Solid knowledge of statistics and application of statistical techniques in business contexts.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Mathematics, or related field.</li><li>Minimum <b>5 years</b> experience as a Data Analyst or similar role.</li><li>Proven experience handling complex datasets and delivering insights that support decision-making.</li></ul><p><b>Preferred</b></p><ul><li>Experience in data governance and data quality management.</li><li>Exposure to machine learning or predictive analytics.</li><li>Certifications such as <b>Power BI</b>, <b>Tableau</b>, or <b>Azure Data Analyst</b> are an advantage.</li></ul><p>&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;</p><p>&#1575;&#1604;&#1585;&#1575;&#1578;&#1576; &#1575;&#1604;&#1605;&#1583;&#1601;&#1608;&#1593;: &#65020;&#1634;&#1632;&#1644;&#1632;&#1632;&#1632;&#1643;&#1632;&#1632;&nbsp;&#1604;&#1603;&#1604; &#1588;&#1607;&#1585;</p><p>&#1587;&#1572;&#1575;&#1604; (&#1571;&#1587;&#1574;&#1604;&#1577;) &#1591;&#1604;&#1576; &#1575;&#1604;&#1578;&#1602;&#1583;&#1605;:</p><ul><li>?What is your current salary</li><li>?What is your expected salary</li></ul>

Senior Data Scientist

JD.COM

<div>
 <strong>
  【Job Responsibilities】
  <br/>
  <br/>
 </strong>
 <strong>
  【Job Requirements】
  <br/>
  <br/>
 </strong>
 Job Requirements 1、Education: Bachelor's degree or above, major in Statistics, Mathematics, Computer Science, Economics， Marketing or related fields preferred. 2、Experience: 5-7 years of data analyst experience, retail or large e-commerce experience preferred, familiarity with online retail business model is a plus. 3、Language: Excellent English listening, speaking, reading and writing skills, usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency inSQL, capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities; 4、Proficiency in PowerBI, able to independently create reports and dashboards with good data presentation skills; 5、Data analysis thinking and modeling ability, able to use statistical methods (e.g., regression, clustering) to solve business problems. 6、Qualities: Strong logical thinking, problem-solving and learning ability, adaptable to business and tool changes; good communication, collaboration and teamwork skills; data sensitivity, sense of responsibility and stress resistance, able to complete tasks on time.
 <br/>
 <br/>
 【
 <strong>
  About JD.com】
  <br/>
  <br/>
 </strong>
 JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, is a leading supply chain-based technology and service provider. The company&rsquo;s cutting-edge retail infrastructure seeks to enable consumers to buy whatever they want, whenever and wherever they want it. The company has opened its technology and infrastructure to partners, brands and other sectors, as part of its "Retail as a Service" offering to help drive productivity and innovation across a range of industries. JD.com&rsquo;s business has expanded across retail, technology, logistics, health, industrials, property development and international business. JD.com is ranked 44th on the Fortune Global 500 list and is China&rsquo;s largest retailer by revenue, serving over 600 million annual active customers. The company has been listed on NASDAQ since 2014, and on the Hong Kong Stock Exchange since 2020. Committed to the principles of customer first, innovation, dedication, ownership, gratitude, and integrity, the company's mission is to make lives better through technology, striving to be the most trusted company in the world.
 <br/>
 <br/>
 <strong>
  【Our Global Business】
  <br/>
  <br/>
 </strong>
 We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, JD.com continues to expand in markets where our competitive strengths shine. Currently, JD.com's operations span China, the U.K., the Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, the U.S., and many others, serving customers worldwide.
 <br/>
 <br/>
 Key International Business Segments: Joybuy (online retail business in Europe), International Logistics, Cross-border Import Business, JD Industrials International, JD Property International
</div>


Data Analyst

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