associate scientist, analytical research Jobs in Giza

associate scientist, analytical research

business performance analyst Jobs in Giza

business performance analyst

data scientist

data scientist - artificial intelligence Jobs in Giza

data scientist - artificial intelligence

supervisor, data modeling

data analytics specialist

Vodafone

<div><div><div><div><h2 class="jobSectionHeader"><b>Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Role Purpose</b></h2>
</div><div><p>
The Data &amp; Analytics Engineer role focuses on creating engineering &amp; analytics according to data scope for our home product portfolio, serving millions of homes across Europe. As a key member of our data team, you will be responsible for implementing reporting pipelines and integrating them with cross-product analytics to inform strategic decision-making processes. The role offers an exciting opportunity to work with large and complex datasets, develop innovative analytics solutions using industry best analytics services and practices and contribute to the success of our products in the market.<br>
Also, to design, build, and maintain scalable, end-to-end data engineering and analytics solutions that deliver actionable insights, support strategic decision making, and drive continuous improvement across Vodafone&rsquo;s Home Technology and Products portfolio.<br>
As the candidate gains knowledge and experience, the position will evolve into an end-to-end analytics architect role, where you will play a pivotal role in designing and implementing comprehensive analytics solutions across the organization.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key accountabilities and decision ownership</b></h2>
</div><div><p>
1. Design and implement cloud-based reporting pipelines leveraging AWS and GCP services, ensuring scalable, efficient, and cost-effective data processing and analytics solutions.<br>
2. Develop and maintain robust ETL/ELT workflows to ingest, transform, and optimize structured and unstructured data, enabling seamless integration with analytics and BI platforms.<br>
3. Ensure data quality and reliability by implementing automated testing frameworks, data validation processes, and monitoring systems to proactively identify and resolve data inconsistencies.<br>
4. Provide technical leadership and mentorship to junior data engineers, BI developers, and analysts; foster best practices and continuous learning within agile delivery teams.<br>
5. Develop and deploy interactive dashboards and reports (Tableau, Power BI) that deliver clear, actionable insights to executive and operational teams. Establish automated data quality, validation, testing, and monitoring frameworks to ensure data accuracy, reliability, and performance.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Core competencies, knowledge and experience</b></h2>
</div><div><p>
1. Mastery of SQL, with a proven track record of utilizing advanced features and optimizations, coupled with hands- on experience in GCP BigQuery, enabling efficient data querying and manipulation.<br>
2. Robust expertise in a wide range of data-related technologies(AWS Colud tools ), encompassing sophisticated data analytics techniques, comprehensive data warehousing strategies, and cutting-edge business intelligence solutions, ensuring a comprehensive understanding of the data landscape.<br>
3. Proficiency in crafting insightful reports and intuitive dashboards tailored to diverse business needs, showcasing the ability to distill complex data into actionable insights that drive strategic decision-making.<br>
4. Adept at identifying and resolving database and data process issues through systematic troubleshooting methodologies, ensuring data integrity and operational continuity across various systems and processes.<br>
5. Demonstrated proficiency in leveraging data visualization tools, particularly Tableau, to create compelling and impactful visual representations of data, enhancing communication and understanding of key insights among stakeholders.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Must have technical / professional qualifications</b></h2>
</div><div><ul><li>Bachelor's degree in a quantitative subject (e.g., computer science, mathematics, engineering) (Must work in SW environment )</li><li>4+ years' experience as a Data Analyst or Engineer</li><li>Hands-on expertise with cloud platforms (GCP BigQuery, AWS Cloud tools ), ETL/ELT tools, and BI visualization software(Tableau is must).</li><li>Hands on experience with all aspects of software development including gathering requirements, analysis, design, dimension building, data loading, optimization and front end development</li><li>Solid understanding of Management reporting requirements, cross functional KPIs and regulatory reports</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
#VOIS #BeUnrivalled #Createthefuture</b></h2></div></div></div></div><div></div>

Data & Analytics Engineer (VOIS)

Agoda

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 <br/>
 <br/>
 Our Purpose - Bridging the World Through Travel
 <br/>
 <br/>
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 <br/>
 <br/>
 Get to Know Our TeamThe Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 <br/>
 <br/>
 The Opportunity
 <br/>
 <br/>
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 <br/>
 <br/>
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 <br/>
 <br/>
 In This Role, You&rsquo;ll Get to
 <br/>
 <br/>
 <ul>
  <li>
   Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
  </li>
  <li>
   Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
  </li>
  <li>
   Work with developers and a variety of business owners to deliver daily results with the best quality
  </li>
  <li>
   Research discover and harness new ideas that can make a difference
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Need to Succeed
 <br/>
 <br/>
 <ul>
  <li>
   4+ years hands-on data science experience
  </li>
  <li>
   Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
  </li>
  <li>
   Significant proficiency in SQL and languages like Python, PySpark and/or Scala
  </li>
  <li>
   Can lead, work independently as well as play a key role in a team
  </li>
  <li>
   Good communication and interpersonal skills for working in a multicultural work environment
   <br/>
   <br/>
  </li>
 </ul>
 It&rsquo;s Great if You Have
 <br/>
 <br/>
 <ul>
  <li>
   PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
  </li>
  <li>
   Experience in NLP, image processing and/or recommendation systems
  </li>
  <li>
   Hands on experience in data engineering, working with big data framework like Spark/Hadoop
  </li>
  <li>
   Experience in data science for e-commerce and/or OTA
   <br/>
   <br/>
  </li>
 </ul>
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 <br/>
 <br/>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester  #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 <br/>
 <br/>
 Equal Opportunity Employer
 <br/>
 <br/>
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 <br/>
 <br/>
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 <br/>
 <br/>
 Disclaimer
 <br/>
 <br/>
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 <br/>
 <br/>
</div>


Lead DS (Data Scientist) Bangkok based, Relocation provided

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 <br/>
 <br/>
 Our Purpose - Bridging the World Through Travel
 <br/>
 <br/>
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 <br/>
 <br/>
 Get to Know Our TeamThe Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 <br/>
 <br/>
 The Opportunity
 <br/>
 <br/>
 Please note -The role will be based in Bangkok.
 <br/>
 <br/>
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 <br/>
 <br/>
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 <br/>
 <br/>
 In This Role, You&rsquo;ll Get to
 <br/>
 <br/>
 <ul>
  <li>
   Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
  </li>
  <li>
   Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
  </li>
  <li>
   Work with developers and a variety of business owners to deliver daily results with the best quality
  </li>
  <li>
   Research discover and harness new ideas that can make a difference
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Need to Succeed
 <br/>
 <br/>
 <ul>
  <li>
   4+ years hands-on data science experience
  </li>
  <li>
   Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
  </li>
  <li>
   Significant proficiency in SQL and languages like Python, PySpark and/or Scala
  </li>
  <li>
   Can lead, work independently as well as play a key role in a team
  </li>
  <li>
   Good communication and interpersonal skills for working in a multicultural work environment
   <br/>
   <br/>
  </li>
 </ul>
 It&rsquo;s Great if You Have
 <br/>
 <br/>
 <ul>
  <li>
   PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
  </li>
  <li>
   Experience in NLP, image processing and/or recommendation systems
  </li>
  <li>
   Hands on experience in data engineering, working with big data framework like Spark/Hadoop
  </li>
  <li>
   Experience in data science for e-commerce and/or OTA
   <br/>
   <br/>
  </li>
 </ul>
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 <br/>
 <br/>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester  #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 <br/>
 <br/>
 Equal Opportunity Employer
 <br/>
 <br/>
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 <br/>
 <br/>
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 <br/>
 <br/>
 Disclaimer
 <br/>
 <br/>
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 <br/>
 <br/>
</div>


Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Digital Bond

<p>Location: Dokki &ndash; Full-time, Onsite</p><p>At Digital Bond, we&rsquo;re on a mission to help brands grow smarter and faster in the digital space. We are looking for a Senior SEO Specialist who is data-driven, strategic, and passionate about optimizing for growth.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and implement SEO strategies to improve organic search rankings and drive targeted traffic.</li><li>Conduct keyword research, competitor analysis, and market trend evaluations.</li><li>Optimize website content, landing pages, and metadata for search engines.</li><li>Manage on-page and off-page SEO activities, including link-building strategies.</li><li>Monitor, analyze, and report on SEO performance using tools like Google Analytics, Search Console, and SEMrush/Ahrefs.</li><li>Collaborate with content creators, designers, and developers to ensure SEO best practices are implemented.</li><li>Stay up to date with the latest SEO trends, algorithm updates, and tools.</li></ul><p><b>Requirements:</b></p><ul><li>4+ years of proven SEO experience (preferably in a digital marketing agency).</li><li>Strong knowledge of on-page, off-page, and technical SEO.</li><li>Proficiency with SEO tools (Google Analytics, Google Search Console, SEMrush, Ahrefs, Screaming Frog, etc.).</li><li>Solid understanding of HTML, CSS, and website performance optimization.</li><li>Strong analytical and problem-solving skills with the ability to translate data into actionable insights.</li><li>Excellent communication and collaboration skills.</li></ul><p>Job Type: Full-time</p>

Senior SEO Specialist

<div><div><div><div><h2 class="jobSectionHeader"><b>Who we are</b></h2></div><p></p><div><p><br>
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.<br>
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.<br>
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p><p><br>
#VOIS #BeUnrivalled #CreateTheFuture</p></div></div><div><div><h2 class="jobSectionHeader"><b>
About this Role</b></h2></div><p></p><div><p><br>
We are seeking a detail-oriented HR Systems &amp; Reporting Specialist to manage system-related activities across the employee lifecycle, including onboarding, offboarding, and payroll reporting. This role is pivotal in ensuring data integrity, supporting HR operations, and delivering insightful reports to stakeholders. The ideal candidate will have a strong foundation in HR systems and analytics, with a proactive approach to process improvement and stakeholder engagement.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you will do</b></h2></div><p></p><div><p><br>
Manage end-to-end system activities for employee lifecycle events including onboarding, changes, exits, and unpaid leaves.<br>
Prepare and deliver weekly, monthly, and annual HR reports using stored data and various sources.<br>
Respond to ad hoc reporting requests and ensure timely delivery of accurate information.<br>
Support offboarding processes and maintain employment records related to hiring, transfers, promotions, and terminations.<br>
Participate in system updates and releases, conducting thorough UAT to ensure smooth implementation.<br>
Maintain documentation for HR systems and reporting processes.<br>
Ensure service delivery within agreed SLAs for specific customer groups.<br>
Handle employee enquiries and support HR-related requests.<br>
Collaborate on HR projects and initiatives linked to system enhancements.<br>
Review and revise HR processes and communicate changes to stakeholders.<br>
Assist payroll by providing monthly employee data such as sick days, leavers, and unpaid leave.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2></div><p></p><div><p><br>
Bachelor&rsquo;s degree in Management Information Systems or Business Administration (HR major preferred).<br>
1&ndash;2 years of experience in HR, ideally with exposure to HR systems.<br>
Strong stakeholder management and communication skills across all levels.<br>
Proficient in Microsoft Excel and PowerPoint.<br>
Familiarity with SuccessFactors HR modules and EVO HR systems.<br>
Demonstrated ability to maintain data accuracy and integrity.<br>
Experience in customer service and MIS is advantageous.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Not a Perfect Fit?</b></h2></div><p></p><div><p><br>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to apply as you may be the right candidate for this role or another role, and our recruitment team can help you see how your skills fit in.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What&rsquo;s in it for you</b></h2></div><p></p><div><p><br>
Opportunity to work on impactful HR projects and system enhancements.<br>
Exposure to global HR systems and data analytics practices.<br>
Collaborative work environment with cross-functional teams.<br>
Continuous learning and development through hands-on experience.<br>
Contribution to strategic HR operations and decision-making.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What skills you will learn</b></h2></div><p></p><div><p><br>
Advanced HR reporting and analytics.<br>
System implementation and user acceptance testing (UAT).<br>
Process optimisation and documentation.<br>
Stakeholder engagement and communication.<br>
Payroll coordination and data management.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Join Us</b></h2></div><p></p><div><p><br>
At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.<br>
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.<br>
With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Alert</b></h2></div><p></p><div><p><br>
Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p><p></p><h3 class="jobSectionHeader"><b><br>
Follow us on social media and #StayConnected</b></h3><ul><li>
LinkedIn</li><li>
Facebook</li><li>
Instagram</li><li>
Chat with our employees to learn more about our projects.</li></ul></div></div></div></div>

HR Specialist - MIS (VOIS)

Explore 181+ Data analytics specialist in Giza this September. Find roles across top companies and apply now to boost your career.

181 data analytics specialist jobs IN Giza

Data & Analytics Engineer (VOIS)

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Senior SEO Specialist

HR Specialist - MIS (VOIS)