business analyst

data analyst

financial analyst

finance analyst

business analyst intern

senior data mining analyst

Almosafer

<div>
 
 
 About the company:
 
 
 
 Almosafer (part of Seera Group) Saudi Arabia&rsquo;s Leading Travel Company
 
 
 
 
 
 Elevating the journey for travelers from Saudi Arabia, the region &amp; beyond, while harnessing Seera Group&rsquo;s 40+ years of expertise, Almosafer supports Saudi Arabia&rsquo;s vision as a national champion for tourism. Almosafer creates opportunities for outbound, leisure, and religious travel, whilst serving B2C and B2B customers, partners, and suppliers with state-of-the-art travel solutions, a digital-first mindset and travel advisory.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a Senior Data Analyst to join Almosafer&rsquo;s Data Intelligence team, embedded within the Marketing and CRM function, to power acquisition and retention strategies with data. You will partner closely with digital marketing (brand and performance), CRM, and loyalty teams to optimize spend, increase retention, and maximize customer lifetime value, while ensuring analytics follow Data Intelligence standards and governance. The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in digital marketing and CRM analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 Acquisition &amp; Digital Marketing Analytics:
 
 <ul>
 <li>
 Act as the primary data partner for digital marketing channels (paid search, paid social, display, programmatic) and organic channels (SEO, referral, content).
 </li>
 <li>
 Build and maintain attribution models to evaluate channel effectiveness and optimize spend.
 </li>
 <li>
 Develop targeting strategies and audience segments for prospecting and retargeting campaigns.
 </li>
 </ul>
 
 
 
 
 CRM &amp; Retention Analytics:
 
 <ul>
 <li>
 Analyze customer behavior, repeat booking patterns, churn risk, and loyalty program engagement.
 </li>
 <li>
 Build retention and churn prediction models to improve CRM targeting.
 </li>
 <li>
 Measure and optimize CRM campaigns (email, push, in-app, SMS) for engagement and conversion.
 </li>
 <li>
 Partner with CRM managers to design and analyze A/B tests for lifecycle marketing.
 </li>
 </ul>
 
 
 
 
 Advanced Modelling &amp; Data Solutions:
 
 <ul>
 <li>
 Design and deploy ML and rule-based models for bid optimization, lifetime value prediction, and personalized offers.
 </li>
 <li>
 Ensure marketing and CRM datasets are high-quality and aligned with DI governance.
 </li>
 <li>
 Work with Marketing Automation teams to integrate model outputs into execution tools (Moengage, Salesforce Marketing Cloud, etc.).
 </li>
 </ul>
 
 
 
 
 BI Reporting &amp; Data Storytelling:
 
 <ul>
 <li>
 Build self-service dashboards in Tableau, Power BI, Looker, or similar to monitor acquisition, retention, and ROI metrics.
 </li>
 <li>
 Translate data into clear, actionable insights for marketing and CRM leadership.
 </li>
 <li>
 Monitor and report on KPIs such as CAC, ROAS, CLV, retention rates, and campaign ROI.
 </li>
 </ul>
 
 
 
 
 Collaboration &amp; Governance:
 
 <ul>
 <li>
 Act as a bridge between Marketing/CRM and the central Data Intelligence function, ensuring consistent definitions and methodologies.
 </li>
 <li>
 Share analytical best practices with other embedded analysts across functions.
 </li>
 <li>
 Promote data literacy within marketing and CRM teams.
 </li>
 </ul>
 
 
 
 
 
 Profile Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in STEM, Business Analytics, or related field.
 </li>
 <li>
 5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.
 </li>
 <li>
 Proficiency in SQL, Python or R, and advanced Excel.
 </li>
 <li>
 Strong experience in digital marketing analytics platforms (Google Analytics, Google Ads, Facebook Ads Manager, DV360) and CRM analytics.
 </li>
 <li>
 Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.
 </li>
 <li>
 Strong knowledge of customer lifecycle metrics (CAC, CLV, churn rate, retention cohorts).
 </li>
 <li>
 Excellent stakeholder management and communication skills; English fluency (Arabic preferred).
 </li>
 <li>
 Experience building and deploying machine learning models for acquisition and retention.
 </li>
 <li>
 Knowledge of rule-based targeting and marketing automation tools (Moengage, Salesforce Marketing Cloud, Adobe Campaign).
 </li>
 <li>
 Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).
 </li>
 </ul>
 
 
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer we strongly believe in diversity and equal opportunities for all candidates. We do not discriminate based on any characteristic and follow fair employment practices regarding citizenship and immigration status. Join our inclusive work environment.
 
</div>

Senior Specialist - Data Intelligence

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
Responsibilities<ul><li>
Leveraging ambiguous business problems as opportunities to drive objective criteria using data.</li><li>
Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.</li><li>
Designing and implementing effective and impactful machine learning and generative AI systems in production.</li><li>
Developing a deep understanding of the product experiences and business processes that make up your area of focus.</li><li>
Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.</li><li>
Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.</li><li>
Working closely with product and business teams to identify important questions that can be answered effectively with data.</li><li>
Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.</li><li>
Designing, planning, and analyzing experiments (A/B and multivariate tests).</li><li>
Supporting product and business managers with KPI design and goal setting.</li><li>
Mentoring other data scientists in their growth journeys.</li><li>
Contributing to improving our ways of working, our tooling, and our internal training programs.</li></ul> 
Qualifications 
Requirements
Technical Experience<ul><li>
Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.</li><li>
Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).</li><li>
Excellent SQL.</li><li>
Competence with reproducible data analysis using Python or R.</li><li>
Familiarity with data modeling and dimensional design.</li><li>
Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.</li><li>
Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.</li><li>
Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.</li><li>
Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).</li><li>
Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.</li><li>
Familiarity with BigQuery and the Google Cloud Platform is a plus.</li><li>
Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.</li></ul>
Qualifications<ul><li>
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
4+ years of experience working in data science, machine learning, and Gen AI.</li><li>
Experience doing data science in an online consumer product setting is a plus.</li><li>
A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.</li><li>
An excellent collaborator.</li><li>
An excellent communicator.</li><li>
A strong sense of ownership and accountability.</li><li>
A &lsquo;keep it simple&rsquo; approach to #makeithappen.</li></ul></div>

Sr. Data Scientist - Algorithms - Gen AI

Whiteshield

<div>We are seeking a data scientist to leverage AI and Machine Learning to deliver actionable insights for government agencies and private sector clients. The role involves a strong emphasis on AI-driven methodologies.
Reporting To: AI Economics Lead
Why Join Us?
At Whiteshield, we are at the forefront of data-driven policy advisory, leveraging cutting-edge analytics, AI, and economic expertise to tackle complex global challenges. What Whiteshield offers:<ul><li>Work on High-Impact Projects: Influence national policies, global rankings, and large-scale economic strategies.</li><li>Cutting-Edge Data Science &amp; AI Applications: Utilize advanced analytics, machine learning, and geospatial AI to solve policy and economic challenges.</li><li>Exposure to Senior Stakeholders: Collaborate with government leaders, international organisations, and business executives.</li><li>Fast-Paced &amp; Collaborative Environment: Work alongside top-tier professionals in a dynamic, multidisciplinary team where innovation and intellectual curiosity thrive.</li><li>Career Growth &amp; Development: Access mentorship, learning opportunities, and a clear progression path in a firm that values expertise and continuous improvement.</li><li>Global Perspective, Local Impact: Contribute to solving global economic challenges while making a tangible impact globally.</li></ul>
If you are passionate about using data science to drive economic policy and innovation, Whiteshield offers an unparalleled platform to make a real difference.
Key Responsibilities<ul><li>AI Analysis &amp; Modelling: Apply machine learning, econometrics, and statistical techniques to extract insights from large datasets.</li><li>Data Engineering &amp; Processing: Clean, structure, and transform large-scale datasets from various sources for analysis.</li><li>Automation &amp; Optimization: Develop scripts, pipelines, and dashboards to automate data workflows and improve efficiency in policy analysis.</li><li>Stakeholder Engagement &amp; Communication: Present complex data findings to senior government officials, policymakers, and executives in a clear and actionable manner.</li><li>Geospatial &amp; AI-Driven Insights: Use satellite imagery, geospatial AI, and predictive analytics to assess infrastructure development and urban expansion.</li></ul>
Requirements<ul><li>Expertise in Python</li><li>Strong experience with AI and machine learning</li><li>Experience in working with large datasets</li><li>Strong capability to articulate technical findings to non-technical stakeholders through reports, visualisations, and presentations</li><li>Strong problem-solving skills with a structured approach to tackling technical and analytical challenges.</li><li>Ability to translate complex data insights into actionable policy recommendations.</li></ul><h3 class="jobSectionHeader">
Personal Attributes
</h3><ul><li>Problem Solving: Proven ability to troubleshoot and resolve complex data analysis and modelling challenges, ensuring robust and scalable solutions.</li><li>Analytical Mindset: Ability to dissect complex datasets and extract meaningful patterns, trends, and business insights that drive data-driven decision-making.</li><li>Agility: Adaptable to shifting priorities, evolving data requirements, and fast-paced project timelines, ensuring continuous improvement in analytical approaches.</li><li>People-Oriented: Builds strong cross-functional relationships while maintaining individual authenticity, fostering collaboration across technical and non-technical teams.</li><li>Empowerment: Takes ownership of projects, proactively makes data-driven decisions, and initiates innovative internal solutions to enhance analytical frameworks.</li><li>Work Ethic: Upholds a culture of integrity, transparency, and accountability while striving for technical excellence and impactful contributions.</li></ul><h3 class="jobSectionHeader">
Qualifications
</h3><ul><li>Education: Bachelor's/Master&rsquo;s degree in Data Science, Statistics, Economics, Computer Science, or a related field.</li><li>Experience: 2+ years of experience in data science, with a focus on data analysis, statistical modelling, and machine learning.</li></ul>
Benefits
Our Commitment to Equal Opportunities: At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We&rsquo;re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.
Celebrating Achievements: At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.
Empowering Our People: At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority &ndash; innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.</div>

Whiteshield Data Scientist - AI Economics Unit

Confidential

<div>
 
 
 About the Role:
 
 
 
 
 
 
 We are seeking a skilled
 
 Senior Data Scientist
 
 to join a leading organization focused on leveraging advanced analytics and data-driven insights to optimize operations and support strategic decision-making.
 
 
 
 
 
 
 Job Function:
 
 
 
 
 
 
 Lead the design, development, and deployment of advanced data analytics and machine learning models to support critical decision-making processes. Deliver predictive insights and operational improvements through data-driven solutions. Collaborate with cross-functional teams to integrate analytics into business workflows and mentor junior team members.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and deploy advanced analytics and predictive models to support critical operational functions
 </li>
 <li>
 Extract and analyze complex data sets to deliver actionable insights
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data-driven solutions
 </li>
 <li>
 Perform model evaluation, tuning, and deployment using Python, SQL, and cloud platforms
 </li>
 <li>
 Communicate analytical findings effectively to senior stakeholders
 </li>
 <li>
 Mentor junior data science team members
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline is required
 </li>
 <li>
 Master&rsquo;s or PhD degree in a related field is highly desirable
 </li>
 <li>
 8&ndash;10 years of experience in data science and advanced analytics
 </li>
 <li>
 Relevant certifications such as Certified Data Scientist, AWS/Azure Data Certifications, or similar are a plus
 </li>
 </ul>
 
 
 
 
 
 Key Skills:
 
 
 
 
 
 <ul>
 <li>
 Advanced data science, machine learning, and predictive modeling
 </li>
 <li>
 Proficient in Python and libraries such as scikit-learn, xgboost, prophet
 </li>
 <li>
 Strong SQL skills, preferably Oracle
 </li>
 <li>
 Experience with cloud platforms like Azure ML
 </li>
 <li>
 Excellent communication and problem-solving abilities
 </li>
 <li>
 Ability to translate complex data into actionable business insights
 </li>
 <li>
 Strong collaboration and mentoring skills
 </li>
 </ul>
 
 
</div>

Senior Data Scientist-Transportation and Fleet Analytics

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div>
<h3 class="jobSectionHeader">Responsibilities</h3><ul><li>
Conducted data analysis focused on User growth/AI chatbot scenarios.</li><li>
Delivered advanced analytics, reporting, and BI applications to support strategic decision-making.</li><li>
Supported and prioritized data requests from business stakeholders; interpreted change requirements and assessed their business impact.</li><li>
Partnered with cross-functional teams to identify and deliver high-impact analytical use cases.</li><li>
Led the implementation of AI (LLM)-based autonomous agents for data analysis, chatbot interaction, and sentiment monitoring.</li><li>
Mentored junior analysts in executing complex, data-driven projects under tight timelines.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
5+ years of experience in data analytics, with deep expertise in statistics, machine learning, and data-driven decision-making.</li><li>
Proficient in SQL, Python, Spark, Power BI, and Tableau, capable of delivering end-to-end analytical solutions.</li><li>
Hands-on LLM experience in developing Prompt, RAG, Workflows,GenAI,Multimodal AI and Agents, with a strong track record of iterative optimization and performance enhancement.</li><li>
Strong AI product mindset, able to translate data insights into intelligent product features and drive innovation.</li><li>
Excellent English communication skills, experienced in collaborating across multinational and cross-cultural teams.</li><li>
Rich analytical background in Web3 or Internet e-commerce industry and AI bot analysis will be beneficial.</li></ul><div>
Why Binance</div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div> 
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div>
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.</div></div>

Senior Data Analyst - Chatbot/ User Growth (Artificial Intelligence)

Amazon.com

<div><div>DESCRIPTION<div>
We are seeking a detail-oriented Business Analyst to support our business in analyzing business problems, drive solutions, and documenting processes. 
The person should have a good understanding of a business requirement and the ability to quickly get to the root cause of a particular reporting/BI/data issue, and draft solutions for resolution. 
The ideal candidate would be high on attention to detail, bias for action and interest in analytics/BI/automation. 
 
Key job responsibilities 
a) Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and resources. 
b) Work closely with stakeholders (internal/external) to understand and automate/enhance existing processes 
c) Should be able to come up with innovative ideas for new work or to improve existing work 
d) Should be open to learn and develop skillsets in the latest technologies and analytical techniques 
e) Should understand how data/analytical frameworks and their work translate to business on ground</div></div><div>
BASIC QUALIFICATIONS<div>
1. Bachelor's degree required. BE is preferred 
2. Experience working in a similar role (at least 1year) 
3. Exposure to Excel and SQL 
4. Deadline driven, team player with strong customer focus. 
5. Strong analytical, problem solving, and organizational skills 
6. Excellent written and oral communication skills 
</div></div><div>PREFERRED QUALIFICATIONS<div>
1. Experience with visualization tools such as Tableau, and QuickSight. 
2. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div></div></div>
 <div><div>Job details</div><ul><div><div>
ARE, Dubai</div></div><div><div>
Project/Program/Product Management-Technical</div></div></ul></div>

Business Analyst, CX Product , CX Product

Capgemini Engineering

<div>
 
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 
 
 
 Your Role
 
 
 
 
 
 
 We are seeking a dynamic and strategic sales leader to head our Mining &amp; Metals vertical. This role demands a
 
 commercially aggressive mindset balanced with deep industry insight and a consultative approach.
 
 The ideal candidate will drive revenue growth, shape go-to-market strategies, and build trusted relationships with key stakeholders across the mining and metals ecosystem. As part of Capgemini&rsquo;s global consulting and digital transformation practice, this role will also contribute to shaping innovative, sustainable, and technology-driven solutions for our clients.
 
 
 
 
 
 Key Responsibilities :
 
 <ul>
 <li>
 Define and execute the sales strategy for the Mining &amp; Metals vertical, aligned with Capgemini&rsquo;s global growth objectives.
 </li>
 <li>
 Leverage industry knowledge and market intelligence to position high-value, consultative solutions that address client pain points.
 </li>
 <li>
 Build and nurture C-level relationships with mining operators, metal producers, and ecosystem partners.
 </li>
 <li>
 Collaborate with delivery, portfolio, and marketing teams to develop compelling value propositions and differentiated offerings.
 </li>
 <li>
 Drive pipeline generation, deal closure, and account expansion across key markets.
 </li>
 <li>
 Lead and mentor a high-performing sales team, fostering a culture of performance, learning, and collaboration.
 </li>
 <li>
 Stay ahead of industry trends, regulatory changes, and emerging technologies to inform sales strategy and client conversations.
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 
 <ul>
 <li>
 15+ years in enterprise sales, with at least 5 years in a leadership role within the Mining &amp; Metals or heavy industrial sectors.
 </li>
 <li>
 Strong understanding of mining operations, supply chains, sustainability challenges, and digital transformation trends.
 </li>
 <li>
 Proven track record of consultative selling, strategic account management, and exceeding revenue targets.
 </li>
 <li>
 Strategic thinker with a commercial edge and a consulting-style approach to problem-solving.
 </li>
 <li>
 Exceptional storytelling, negotiation, and stakeholder management skills.
 </li>
 <li>
 Ability to work cross-functionally with delivery, product, and marketing teams to shape and sell integrated solutions.
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering, Business, or related field; MBA or equivalent is a plus.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Love About Working Here
 
 
 
 
 
 <ul>
 <li>
 We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain a healthy work-life balance.
 </li>
 <li>
 At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
 </li>
 <li>
 Equip yourself with valuable certifications in the latest technologies.
 </li>
 </ul>
 
 
 
 
 
 About Capgemini
 
 
 
 
 
 
 Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of &euro;22 billion.
 
</div>

Head - Mining & Metals

Explore 2460+ Senior data mining analyst in Dubai this September. Find roles across top companies and apply now to boost your career.