business analyst

data scientist

senior data scientist

data analyst

financial analyst

data analytics analyst

Rider Levett Bucknall

<div>Department Overview:
Our dedicated Cost Management Team at RLB KSA are responsible for seeing a project through from the initial concept stages to completion. Their main task is to break down projects into stages, taking responsibility for monitoring and managing the programme, cost, quality and risk of each stage of the project. We pride ourselves on the quality of our service to our clients and enjoy long term relationships with them.
We are a sector focused business actively operating and delivering within the Commercial, Residential, Education, Data Centre, Mixed Use, Sports, Healthcare, Defence and Retail sectors. Our Cost Managers work in close contact with clients, advising them on all financial matters, project risks, procurement and contract matters using our depth of experience to provide an informed opinion and solutions. 
Overview of role:
RLB are currently recruiting a Data Analyst to join our team in Riyadh, KSA. This role will be responsible for data management, analytics, and dashboard reporting development for large-scale construction projects. You will play a key role in supporting flagship projects with cost planning, estimating, and commercial reporting functions. 
Key responsibilities:<ul><li>
Develop and maintain databases and reporting dashboards.</li><li>
Develop and maintain data models and governance processes.</li><li>
Technical build-out of Microsoft Power BI (or similar products) dashboards.</li><li>
Presentation to clients and internal teams of developed dashboards.</li><li>
Coordinate and prepare presentation material.</li><li>
Create processes, workflows, and structure around data management.</li><li>
Support the training of regional personnel, cross training, and clients&rsquo; representatives.</li><li>
Determine key metrics, outcomes and develop reports.</li><li>
Organize and manage a team repository of key processes, presentations, and workflows.</li><li>
Coordinate &amp; organize multiple sources of performance data.</li><li>
Build data models to support required analysis and reporting.</li><li>
Translation of data to best practice data visualization.</li><li>
Ability to develop good working relationships within different client cultures and across multiple project teams.</li></ul> 
Person Specification:
The ideal candidate will demonstrate a positive proactive approach to the role and will be committed to delivering customer service excellence, with good commercial results.<ul><li>
Degree qualified in Data Analytics (or Quantity Surveying).</li><li>
Data Visualization expert experienced with data management, analytics and dashboard reporting development.</li><li>
Experience in data management and deep dive analysis.</li><li>
Experience developing dashboards and other data visualization projects.</li><li>
Proficiency with Microsoft applications (Power BI).</li><li>
Strong proficiency in Python programming for data analysis, automation, and integration.</li><li>
Experience applying Machine Learning techniques to enhance predictive analytics and project insights.</li><li>
Good organization skills, ability to multi-task, prioritize, and be a team player.</li><li>
Advanced presentation skills and ability to thrive in a client-facing role.</li><li>
Excellent interpersonal, verbal and written communication skills.</li><li>
Strong problem-solving skills.</li><li>
Advanced skills with spreadsheets, charts, and presentations.</li><li>
Expected minimum of 6 years&rsquo; experience post degree qualification.</li><li>
A team player, outgoing, flexible, enthusiastic, and ambitious.</li></ul> 
Company overview:
With 200 KSA staff and 4,300 worldwide, Rider Levett Bucknall has a truly global reach, and with such scope can offer a local presence to its clients almost without exception. We are committed to our core services and pride ourselves on our dedication to customer care and leading-edge service provision.
We are an award winning, leading independent firm providing our clients with some of the most comprehensive and forward-thinking advice available.
We offer a range of complementary quantity surveying, project management, building surveying and advisory services from conception, through design and construction and operational performance of facilities to their eventual disposal or reuse.
Our clients have rapid access to the latest industry intelligence and innovations, which serve to enhance value and mitigate risk. We provide expert management of the relationship between value, time and cost from inception to completion. We do this through our global and local team of experts, who possess a passion for both core services and innovation.
We are committed to developing new services and techniques aimed at enhancing our clients' businesses in the long term. 
Please note that only candidates who meet the above requirements will be considered for this role. We appreciate your interest in Rider Levett Bucknall and wish you the best of luck in your job search.</div>

Data Analyst

MASTER-WORKS

<div>collect, analyze, and interpret data, transforming it into actionable insights that support strategic and operational decision-making within the organization.
Responsibilities:
<ul><li>Gather data from various sources and ensure its accuracy and completeness.</li></ul>
<ul><li>Clean and process data to maintain quality and reliability.</li></ul>
<ul><li>Develop reports and dashboards using analytics tools such as Power BI or Tableau.</li></ul>
<ul><li>Analyze trends and patterns to provide data-driven recommendations.</li></ul>
<ul><li>Collaborate with different teams to understand their requirements and deliver analytical solutions.</li></ul>
<ul><li>Ensure data security and compliance with privacy policies.</li></ul>
Requirements
Requirements:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Information Technology, or a related field.</li><li>Proven experience in data analysis and reporting.</li><li>Strong proficiency in SQL, Excel, and visualization tools (Power BI, Tableau).</li><li>Basic programming knowledge (Python or R) is a plus.</li><li>
Excellent analytical skills and attention to detail.</li></ul>
Preferred Skills:<ul><li>Data Analysis &amp; Interpretation &ndash; Ability to analyze large datasets and extract meaningful insights.</li><li>Statistical Analysis &ndash; Understanding of basic statistics and probability for data-driven decisions.</li></ul>
Data Cleaning &amp; Preparation &ndash; Skills in handling missing data, outliers, and ensuring data quality.</div>

QuantumBlack, AI by McKinsey

<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, 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.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 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.
 
 
 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.
 
 
 You will be based in our Cairo office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 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.
 
 
 
 Your Qualifications and Skills
 
 
 
 <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

Confidential

<div>
 
 The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics.
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Data Exploration &amp; Cleaning: Analyse large datasets, identify inconsistencies and missing values
 </li>
 <li>
 Insights: Work on processing, and analyzing data to extract meaningful insights that can answers B2B business needs.
 </li>
 <li>
 Visualization &amp; Story telling: Use top tools, metabse to dashboard and to wow customers while informing them.
 </li>
 <li>
 Data governance:Ensure data integrity and consistency across pipelines
 </li>
 <li>
 Martech Skills: Top, Middle and Lower Funnel, Conversion rations, CAC, Digital media KPIs and benchmarks&hellip;
 </li>
 <li>
 Predictive modeling:Helping identify trends before they happen (e.g., predictive churn or LTV).
 </li>
 <li>
 Customer Journeys understanding and visualization
 </li>
 <li>
 Client Presentation skills, Good working experience with data Scientists.
 </li>
 <li>
 Minimum 4 yrs experience with reputable data firms or research agencies.
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field (Computer Science, Data Science, or similar).
 </li>
 <li>
 At least 4 years&rsquo; experience in customers data analysis field
 </li>
 <li>
 Strong analytical skills and a passion for gathering customers&rsquo; insight.
 </li>
 <li>
 Good Knowledge in programming frameworks and languages.
 </li>
 <li>
 Familiar with Scrum working processes and the agile development methodology.
 </li>
 </ul>
 
 
</div>

AI Data Analysis

Samsung by Korn Ferry

<div>Company Description 
Samsung Electronics has grown into one of the world&rsquo;s leading technology companies, recognized as one of the top 5 global brands. As a global leader in technology, we are transforming the world with the creativity and diversity of our talented people who drive this transformation.
Our company's success reflects the determination and talent of our people, aligned with our key corporate values: People, Excellence, Change, Integrity, and Co-prosperity. Our mission is to help people achieve the impossible.
We are inspired by what people want to accomplish in their lives and work to create products that empower them in new ways. This drive fuels our innovation.
Join us at Samsung and find your opportunity to do what you can't. 
Job Description 
<ul><li>
Collecting the data from partners and processing the RAW data in system and interpreting data</li><li>
Follow up with Partners on daily basis for any data related info and rectify the errors</li><li>
Using statistical tools to interpret data sets and prepare reports (such as Excel)</li><li>
Analyzing results and identifying patterns and trends in data sets</li><li>
Create the dashboards and share with related departments daily/weekly basis</li><li>
Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data</li></ul> 

Qualifications 
<ul><li>
Bachelor's degree in business administration, Information System or related field</li><li>
Minimum 3+ years of experience in data or business analysis</li><li>
Proficient in using MS Office and Excel</li><li>
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li></ul></div>

Data Analysis Specialist

Mastercard

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Managing Consultant, Performance Analytics, Advisors &amp; Consulting Services
Managing Consultant / Senior Data Analyst 
 
About the Role 
 
We are seeking an experienced Data Analyst with strong consulting and problem-solving skills. This is not a &ldquo;back-office&rdquo; analytics role &ndash; we need someone who can partner with business leaders, identify opportunities, and deliver end-to-end analytics use cases that drive measurable impact. 
The ideal candidate - a consultant-turned-analyst or an analyst with consulting DNA, who possess the following skills: 
Consulting mindset (e.g., from MBB / Tier-2 consulting, or equivalent problem-solving background) 
Deep analytics expertise in banking industry (data wrangling, statistical modeling, visualization, A/B testing, campaign analysis, scoring/segmentation) 
Business ownership (ability to define problems, design solutions, quantify impact, and implement recommendations) 
 
Key Responsibilities 
 
1. Problem Identification &amp; Solution Design 
Proactively identify key business challenges and growth opportunities in the Cards &amp; Payments portfolio (e.g., acquisition, activation, usage, cross-sell, retention, credit risk, fraud). 
Partner with stakeholders across product, risk, marketing, operations, and digital to frame hypotheses and define problem statements. 
Translate strategic questions into structured analytics projects with clear success metrics. 
2. Analytics Delivery 
Extract, clean, and analyze data from multiple sources (transactional, credit bureau, digital channels, campaigns, etc.). 
Build customer segmentation, predictive models, campaign targeting frameworks, and profitability analyses. 
Design and evaluate experiments / A/B tests, measure business impact, and recommend scale-up actions. 
Deliver compelling storylines via presentations and dashboards (Tableau/PowerBI, SQL, Python, R). 
3. Business Impact &amp; Implementation 
Quantify the incremental revenue, cost savings, or risk reduction from each analytics use case. 
Partner with business units to implement solutions (e.g., optimized cross-sell campaigns, card spend stimulation, improved credit line management). 
Track performance post-implementation and feed learnings back into strategy. 
4. Thought Leadership &amp; Capability Building 
Act as a strategic advisor to card department leadership, not just a data provider. 
Stay up-to-date on best practices in cards, payments, and advanced analytics. 
Mentor junior analysts and contribute to building the analytics culture in the bank. 
Qualifications 
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Economics, Business, Mathematics, Statistics, Computer Science, or related fields. MBA is a plus 
 
Experience: 
 
5&ndash;8 years in banking/fintech analytics (cards/payments preferred) and/or top consulting firm (MBB, Tier-2) with exposure to financial services. 
Proven track record of delivering analytics projects that generated measurable business impact. 
Technical Skills: 
SQL, Python/Alteryx/SAS (for modeling &amp; analysis), advanced Excel, PowerPoint 
BI tools (Tableau, Power BI, Qlik). 
Familiarity with credit scoring, segmentation, customer lifecycle analysis, and campaign effectiveness measurement 
Experience with GenAI is a plus 
Consulting &amp; Business Skills: 
Strong problem-structuring, hypothesis-driven thinking, and executive communication skills. 
Ability to build business cases and present impact in financial terms. 
Stakeholder management skills across senior levels
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Managing Consultant, Performance Analytics, Advisors & Consulting Services

Abunayyan Holding

<div>
 
 🚀 We&rsquo;re Hiring: Performance Assurance Analyst
 
 
 📍 Division: EPCM | Projects
 
 
 We are looking for a detail-oriented and proactive Performance Assurance Analyst to support performance measurement, reporting, and analysis across our project portfolio. This role is key to enabling data-driven decision-making by transforming project data into clear insights for leadership and project teams.
 
 
 
 
 
 🎯 Role Purpose
 
 
 The Performance Assurance Analyst will collect, analyze, and report project performance data across schedule, cost, quality, and safety metrics. You will support performance assurance reviews, KPI tracking, and continuous improvement initiatives across EPCM projects.
 
 
 
 
 
 📌 Key Responsibilities
 
 <ul>
 <li>
 Gather, validate, and analyze project performance data (schedule, cost, quality, safety, etc.)
 </li>
 <li>
 Develop and maintain dashboards and performance reports for internal and client use
 </li>
 <li>
 Track KPIs, trends, and anomalies to support continuous improvement
 </li>
 <li>
 Support performance audits and assurance reviews across multiple projects
 </li>
 <li>
 Capture and report lessons learned and performance insights
 </li>
 <li>
 Liaise with project teams to collect inputs and promote best practices
 </li>
 <li>
 Contribute to the development and enhancement of the performance assurance framework
 </li>
 </ul>
 
 
 
 
 🎓 Qualifications &amp; Experience
 
 <ul>
 <li>
 3&ndash;5 years of experience in project controls, quality, or data analytics within EPCM or construction environments
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering, Business, or a related discipline
 </li>
 <li>
 Strong analytical skills with the ability to interpret complex data sets
 </li>
 <li>
 Proficiency in Excel, Power BI, or similar data visualization tools
 </li>
 <li>
 Familiarity with project management methodologies and tools
 </li>
 </ul>
 
 
</div>

Performance Assurance Analyst

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Data Analyst

Data Analyst

Data Scientist II - QuantumBlack, AI by McKinsey

AI Data Analysis

Data Analysis Specialist

Managing Consultant, Performance Analytics, Advisors & Consulting Services

Performance Assurance Analyst