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PROVEN Consult

<div>
 
 We are seeking a
 
 highly motivated and experienced Saudi Data Analyst
 
 to join our
 
 Data Analytics team in Riyadh
 
 . The role involves leading complex data analysis initiatives, translating data into actionable insights, and supporting strategic decision-making across the organization.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Lead and manage end-to-end data analysis projects.
 </li>
 <li>
 Collect, clean, and prepare large datasets for analysis.
 </li>
 <li>
 Develop and apply advanced analytical models and techniques.
 </li>
 <li>
 Identify trends, patterns, and insights to support business outcomes.
 </li>
 <li>
 Present analytical findings to senior management and key stakeholders.
 </li>
 <li>
 Establish and maintain data governance and data quality standards.
 </li>
 <li>
 Mentor and guide junior data analysts.
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 
 3+ years
 
 of experience as a Data Analyst
 </li>
 <li>
 
 (4+ years with a Master&rsquo;s degree in Data Science, Statistics, or related field)
 
 </li>
 <li>
 Strong hands-on experience with
 
 SQL
 
 </li>
 <li>
 Strong experience with
 
 Power BI
 
 or similar data visualization tools
 </li>
 <li>
 Experience with
 
 Python
 
 or other statistical/analytical tools
 </li>
 <li>
 Strong communication and presentation skills
 </li>
 <li>
 Ability to work independently and collaboratively
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience in
 
 Healthcare or Population Health
 
 </li>
 </ul>
 
 
</div>

Data Analyst

Madar Logistics Platform

<div>
 
 Madar
 
 is a leading Saudi digital logistics platform transforming transportation management across industries. It connects shippers, carriers, and logistics partners through a unified ecosystem that delivers visibility, efficiency, and automation. Madar enables seamless shipment execution, financial integration, and real-time tracking &mdash; redefining the future of logistics in the Kingdom and beyond.
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled Data Analyst with advanced expertise in Tableau and a proven ability to translate complex data into actionable insights. The ideal candidate will excel in understanding client requirements, building analytical scenarios, and applying a wide range of data analysis techniques to support strategic decision-making.
 
 
 
 Key Responsibilities:
 
 
 
 
 Operational Data Integrity &amp; Governance
 
 
 
 <ul>
 <li>
 Ensure the accuracy, consistency, and reliability of operational data across all systems
 </li>
 <li>
 Establish structured validation and governance protocols to maintain data integrity
 
 
 </li>
 </ul>
 
 Dashboard Readiness &amp; Data Availability
 
 
 
 <ul>
 <li>
 Maintain the availability and performance of interactive dashboards
 </li>
 <li>
 Guarantee real-time visibility into key metrics and operational trends
 
 
 </li>
 </ul>
 
 Enterprise Analytics Strategy &amp; Leadership
 
 
 
 <ul>
 <li>
 Define and execute company-wide analytics strategies
 </li>
 <li>
 Establish governance frameworks and methodologies to transform raw data into strategic insights
 
 
 </li>
 </ul>
 
 Advanced Analytics &amp; Intelligence Enablement
 
 
 
 <ul>
 <li>
 Design and deploy predictive, prescriptive, and diagnostic models
 </li>
 <li>
 Uncover business insights, optimize operations, and identify growth opportunities
 
 
 </li>
 </ul>
 
 Data Infrastructure &amp; Scalability
 
 
 
 <ul>
 <li>
 Oversee the development of scalable data ecosystems, including ETL pipelines and cloud-based environments
 </li>
 <li>
 Ensure secure and timely access to data across the enterprise
 
 
 </li>
 </ul>
 
 Dashboard Development &amp; Automation
 
 
 
 <ul>
 <li>
 Build and maintain interactive dashboards using Tableau and other BI tools
 </li>
 <li>
 Enable dynamic monitoring of performance and operational health through automation
 
 
 </li>
 </ul>
 
 Data Storytelling (Insights)
 
 
 
 <ul>
 <li>
 Transform complex datasets into intuitive visual narratives
 </li>
 <li>
 Apply design principles to ensure clarity, consistency, and brand alignment in reporting
 
 
 </li>
 </ul>
 
 Platform Data Governance &amp; Access Control
 
 
 
 <ul>
 <li>
 Manage data-related configurations within Madar platforms
 </li>
 <li>
 Oversee user access, conduct periodic reviews, and ensure alignment with security policies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Advanced proficiency in Tableau (dashboard design, calculated fields, parameters, data blending)
 </li>
 <li>
 Strong knowledge of SQL, Excel, and other data manipulation tools
 </li>
 <li>
 Familiarity with statistical techniques (regression, clustering, hypothesis testing, forecasting)
 </li>
 <li>
 Ability to apply diverse analysis techniques to solve complex business problems
 </li>
 <li>
 Excellent ability to understand client requirements and translate them into technical solutions
 </li>
 <li>
 Strong presentation and storytelling skills to communicate insights effectively
 </li>
 <li>
 Bachelor's degree in data science, Statistics, Computer Science, Business Analytics, or related field
 </li>
 <li>
 3-5 years of proven experience in data analysis and visualization
 
 
 </li>
 </ul>
 
 Key Attributes:
 
 
 
 <ul>
 <li>
 Detail-oriented with a passion for data accuracy and clarity
 </li>
 <li>
 Innovative thinker who can design creative solutions for complex problems
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple projects simultaneously
 </li>
 <li>
 Collaborative team player with proactive communication
 </li>
 </ul>
</div>

Tamara

<div>
 
 About Us
 
 
 
 Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.
 
 
 Tamara is Saudi Arabia&rsquo;s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.
 
 
 We are looking for Data Analyst II to take us to the next stage of growth, supporting functions across the finance department. The successful candidate will have experience developing analytical solutions and assisting with data-driven decision making, while managing stakeholders across a broad range of functions. Tamara is a high growth startup looking to develop key product success metrics and enhancing decision making through data.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Drive business impact through actionable insights and identifying key opportunities for rapid growth
 </li>
 <li>
 Build dashboards that provide accurate and actionable insights
 </li>
 <li>
 Work with the data engineering team on the data enrichment needs of the product team
 </li>
 <li>
 Work with stakeholders across the business to prioritize projects based on impact and drive delivery
 </li>
 <li>
 Developing a process to identify, analyse, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholders
 </li>
 <li>
 Ensuring governance and being a steward of good analytical practices throughout the process
 
 
 </li>
 </ul>
 
 Your Expertise
 
 
 
 <ul>
 <li>
 5+ years of experience in data analytics
 </li>
 <li>
 Bachelor&rsquo;s degree in Statistics, Mathematics, Economics, Computer Science or other analytical field. Graduates from other fields with relevant knowledge and experience are welcome to apply.
 </li>
 <li>
 Hands on experience using programming (Python, R) to manipulate large data sets for insights
 </li>
 <li>
 Demonstrated proficiency in one or more implementations of SQL (e.g. MySQL, PostgreSQL)
 </li>
 <li>
 Display understanding of your domain of interest - Whether its Finance, Risk, or Product
 </li>
 <li>
 Experience using Machine Learning tools and techniques in R or Python a plus!
 </li>
 <li>
 Experience using one or more data visualization tools (e.g. Tableau, PowerBI, Qlik)
 </li>
 <li>
 Experience creating data visualizations and dashboards with Apache Superset a bonus
 </li>
 <li>
 Experience in a high-growth startup or unicorn a bonus!
 
 
 </li>
 </ul>
 All qualified individuals are encouraged to apply.
</div>

Data Analyst II

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>

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>

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

Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>12/30/2025
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>4-5 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Riyadh
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div>Key Responsibilities:<ul><li> 
Design, develop, and deploy AI and machine learning models to support smart city and enterprise use cases.</li><li> 
Perform predictive analytics to forecast trends, optimize operations, and support data-driven decision-making.</li><li> 
Design and manage city-wide performance dashboards using Power BI, Tableau, or similar BI tools.</li><li> 
Integrate data from multiple sources to create unified analytics and reporting platforms.</li><li> 
Ensure data quality, governance, and compliance with data protection standards.</li><li> 
Collaborate with smart systems, IT, and business stakeholders to translate requirements into analytical solutions.</li><li> 
Monitor model performance, continuously improve accuracy, and maintain documentation.</li><li> 
Support advanced reporting, visualization, and insights generation for leadership and control centers.</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3><div>
Qualification: 
</div><div>
Bachelor&rsquo;s degree in Computer Science, Mathematics, Statistics, or a related field.</div><div> 
Experience: 
</div><div>
Minimum 5+ years of experience in AI, data science, and advanced analytics.</div> 
Required Skills &amp; Competencies:<ul><li> 
Strong expertise in AI/ML modeling and predictive analytics</li><li> 
Proficiency in Power BI, Tableau, or equivalent visualization tools</li><li> 
Experience with data pipelines, data integration, and large datasets</li><li> 
Knowledge of statistical analysis, data modeling, and performance KPIs</li><li> 
Strong problem-solving, communication, and stakeholder management skills</li></ul> 
Preferred Certifications (Optional):<ul><li> 
Microsoft Power BI Data Analyst</li><li> 
Data Science or Machine Learning certifications</li><li> 
Cloud-based AI certifications (AWS, Azure)</li></ul></div></div></div>

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Managing Consultant, Performance Analytics, Advisors & Consulting Services

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