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Muller's Solutions

<div>M&uuml;ller's Solutions is seeking a skilled Microsoft Power BI Specialist to join our team. In this role, you will be responsible for designing, developing, and implementing interactive and insightful Power BI dashboards and reports to support data-driven decision-making across the organization. You will collaborate with business stakeholders to understand data requirements and translate them into effective visualization solutions. 
Key Responsibilities:<ul><li>
Develop and maintain Power BI reports and dashboards that provide actionable insights.</li><li>
Connect to various data sources, perform data modeling, and ensure data accuracy and integrity.</li><li>
Collaborate with business users to gather requirements and deliver tailored reporting solutions.</li><li>
Optimize data models and queries for best performance.</li><li>
Train and support end-users in utilizing Power BI tools effectively.</li><li>
Stay updated with the latest Power BI features and industry best practices to continuously improve reporting capabilities.</li></ul> 

Requirements 
Requirements:<ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li><li>
Proven experience with Microsoft Power BI including dashboard development, data modeling, and DAX expressions.</li><li>
Strong knowledge of data visualization principles and best practices.</li><li>
Experience working with various data sources such as SQL Server, Excel, and cloud services.</li><li>
Ability to analyze complex datasets and produce clear, concise reports.</li><li>
Excellent communication skills to gather business requirements and convey technical information to non-technical stakeholders.</li><li>
Familiarity with Power Query, M language, and Power BI Service is highly desirable.</li><li>
Experience with data warehousing concepts and ETL processes is a plus.</li></ul>
Preferred Qualifications:<ul><li>
Microsoft Power BI certification (e.g., DA-100 or PL-300) is an advantage.</li><li>
Experience with other Microsoft Power Platform tools is a plus.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to work independently and as part of a team in a fast-paced environment.</li></ul> 

Benefits 
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Microsoft Power BI Developer

Prime Gate

<div>Job Summary:
We are seeking a highly analytical and detail-oriented Data Analyst to support the Madinaty SuperApp initiative. The role involves transforming raw data into actionable insights, enabling data-driven decision-making across multiple city services and digital platforms.
Key Responsibilities:
1. Data Analysis &amp; Insights<ul><li>Analyze large datasets to identify trends, patterns, and actionable insights</li><li>Develop dashboards and reports to support business and operational decisions</li><li>Translate business requirements into data-driven solutions</li></ul>
2. Data Visualization &amp; Reporting<ul><li>Design and maintain interactive dashboards (e.g., Power BI (Preferred), Tableau)</li><li>Present insights to stakeholders in a clear and impactful manner</li><li>Automate reporting processes for efficiency and consistency</li></ul>
3. Data Management &amp; Quality<ul><li>Ensure data accuracy, consistency, and completeness</li><li>Perform data cleansing, validation, and transformation</li><li>Collaborate with data engineering teams to optimize data pipelines</li></ul>
4. Business Collaboration<ul><li>Work closely with product, operations, and technical teams</li><li>Support KPI definition, tracking, and performance monitoring</li><li>Provide analytical support for strategic initiatives</li></ul>
Required Qualifications &amp; Skills:
Technical Skills:<ul><li>Strong proficiency in SQL and data querying</li><li>Experience with data visualization tools (Power BI, Tableau, Looker, etc.)</li><li>Knowledge of Excel and statistical analysis techniques</li><li>Familiarity with Python</li><li>Understanding of data warehousing concepts</li></ul>
Soft Skills:<ul><li>Strong analytical and problem-solving skills</li><li>Excellent communication and storytelling ability</li><li>Attention to detail and accuracy</li><li>Ability to work in a fast-paced, cross-functional environment</li></ul>
Preferred Qualifications:<ul><li>Experience in Smart City, SuperApp, or digital platform environments</li><li>Familiarity with big data technologies (e.g., Spark, Hadoop)</li><li>Knowledge of data governance and data quality frameworks</li></ul></div>

Data Analyst

MASTER-WORKS

<div>Develop, analyze, and visualize data using SAS Visual Analytics to support decision-making through high-quality interactive dashboards and reports, ensuring data accuracy and effective integration with various systems.
Responsibilities:<ul><li>
Develop dashboards and reports using SAS Visual Analytics.</li><li>
Translate business requirements into visual analytics solutions.</li><li>
Integrate and prepare data from multiple sources.</li><li>
Ensure data accuracy, performance, and usability of reports.</li><li>
Collaborate with business and technical stakeholders.</li></ul> 

Requirements 
Requirements:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field.</li><li>
5+ years of experience in SAS Visual Analytics.</li><li>
Strong knowledge of the SAS platform and data visualization concepts.</li><li>
Experience working with databases and large datasets.</li></ul>
Preferred Skills:<ul><li>
Experience in large-scale data environments or banking/government sectors.</li><li>
Knowledge of other BI or analytics tools (an advantage).</li><li>
SAS certifications (preferred).</li></ul>
Key Competencies:<ul><li>
SAS Visual Analytics</li><li>
Data Visualization</li><li>
Data Modeling &amp; Integration</li><li>
Business Intelligence</li><li>
Data Quality &amp; Accuracy</li><li>
Analytical Thinking</li><li>
Stakeholder Communication</li></ul></div>

SAS Visual Analytics Developer

Norconsult Telematics

<div>
 
 
 Position Objectives:
 
 
 
 
 
 
 To design, develop, and deliver high-quality reports and presentations that clearly communicate project progress, performance data, and strategic insights to internal and external stakeholders. The Storyteller &amp; Presentation Specialist ensures that all deliverables are accurate, visually compelling, and strategically structured to convey the right message, support decision-making, and align with project objectives and outcomes
 
 
 
 
 
 
 Job Description &amp; Responsibilities
 
 
 <ul>
 <li>
 Collect, analyse, and interpret data from academic, administrative, and operational teams to prepare detailed and summary reports.
 </li>
 <li>
 Design and create high-quality presentations for meetings, workshops, conferences, and other educational events.
 </li>
 <li>
 Develop visual representations of data, including charts, graphs, and infographics, to facilitate better understanding and engagement.
 </li>
 <li>
 Collaborate with various departments to identify key messaging and structure content for maximum clarity and impact.
 </li>
 <li>
 Ensure all reports and presentations adhere to institutional branding guidelines and maintain consistent style and format.
 </li>
 <li>
 Review and proofread all materials for accuracy, grammar, and compliance with guidelines.
 </li>
 <li>
 Maintain a repository of reports and presentations for easy access and future reference.
 </li>
 <li>
 Stay updated on tools and trends in data visualisation and presentation design to enhance deliverabl
 
 es.
 
 </li>
 </ul>
 
 
 Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering or a related field.
 </li>
 <li>
 Minimum of 5 years in reporting, presentation design, or a similar role, with demonstrated experience in delivering impactful outputs.
 </li>
 <li>
 Advanced proficiency in Microsoft Office Suite, especially Excel (pivot tables, advanced formulas, and data modelling) and PowerPoint (creating engaging and professional presentations)
 </li>
 <li>
 Strong aptitude for data analysis and interpretation, with the ability to derive actionable insights from complex datasets.
 </li>
 <li>
 Competence in presenting insights through clear, visually compelling reports and dashboards tailored for stakeholders.
 </li>
 <li>
 Exceptional communication abilities, both written and verbal, with a keen eye for detail and an appreciation for design aesthetics in reporting.
 </li>
 <li>
 Demonstrated capacity to manage multiple tasks, prioritise deadlines effectively, and deliver high-quality results under tight timelines.
 </li>
 <li>
 Domain Knowledge: Familiarity with educational metrics and reporting standards is considered an advantage.
 </li>
 <li>
 A strong command of English is required. Proficiency in Arabic will be considered an added advantage.
 </li>
 </ul>
</div>

Storyteller & PowerPoint Specialist

<div>M&uuml;ller&rsquo;s Solutions is seeking a skilled Power BI Developer who is also fluent in Arabic to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying Power BI solutions that deliver impactful business insights. Your ability to communicate effectively in Arabic will facilitate collaboration with Arabic-speaking stakeholders and clients.
Responsibilities:<ul>
<li>Develop and maintain robust Power BI reports and dashboards tailored to business requirements.</li>
<li>Collaborate with stakeholders, including Arabic-speaking clients, to gather requirements and translate them into technical solutions.</li>
<li>Optimize data models and ensure high performance of Power BI solutions.</li>
<li>Conduct data analysis to support decision-making processes and provide insights.</li>
<li>Ensure data quality, security, and governance standards are adhered to.</li>
<li>Provide support and training to users, including Arabic-speaking teams, to enhance their use of Power BI tools.</li>
<li>Stay up-to-date with the latest Power BI features and best practices to continually improve BI solutions.</li> 
</ul> 
 
Requirements 
<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>Proven experience as a Power BI Developer with a strong portfolio of Power BI projects.</li>
<li>Fluency in Arabic, both written and spoken, is essential for this role.</li>
<li>Strong proficiency in DAX, Power Query, and advanced Power BI functionalities.</li>
<li>Experience in data modeling, ETL processes, and SQL.</li>
<li>Ability to translate complex data into clear, actionable business insights.</li>
<li>Excellent communication and interpersonal skills for effective collaboration with bilingual teams and clients.</li>
<li>Knowledge of data governance, data quality, and security best practices.</li>
<li>Self-motivated with the ability to work independently and manage multiple projects.</li>
<li>Experience with other BI tools and analytics platforms is a plus.</li> 
</ul> 
 
Benefits 
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Power BI Developer/Arabic Speaker

MA'ADEN

<div>Job Purpose
<ul><li><div>The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
</div></li><li><div>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</div></li><li><div>Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow 
</div></li></ul>Key Accountabilities:
1. Lead End-to-End Data Science Delivery
<ul><li>Developing, implementing and maintaining databases and data collection systems
</li><li>Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</li><li>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li><div>Ensuring data security and compliance with relevant regulations
</div></li><li><div>Drive experimentation, model versioning, automated retraining, and continuous improvement. 
</div></li></ul><div></div>2. Translate Business Needs into AI/Analytics Solutions
<ul><li><div>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</div></li><li><div>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</div></li><li><div>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams. 
</div></li></ul>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
<ul><li>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</li><li>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</li>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements 
<li>
</li></ul>4. Responsible AI, Quality &amp; Governance
<ul><li>Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments 
<li>
</li></ul>5. Stakeholder Management &amp; Value Realization
<ul><li>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
</li>Track value realization, adoption metrics, and operational impact to ensure measurable benefit. 
<li>
</li></ul>Minimum Qualification, Experience and Core Competencies:
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields. 
</li></ul>Minimum Experience: 
 
 
<ul><li><div>Minimum Experience:
</div></li><li><div>8 &ndash; 10 years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
</div></li><li><div>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</div></li><li><div>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch , Azure, AWS) &ndash; Microsoft AI Factory
</div></li><li><div>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams. 
</div></li><li> 
Machine Learning &amp; Advanced Analytics
<ul><li>Hands-on experience developing and deploying machine learning models , including time-series forecasting, predictive modeling, and optimization use cases
</li><li>Strong understanding of model performance, validation, stability, and business impact
</li></ul></li><li>Generative AI &amp; AI Agents
<ul><li>Practical experience with Generative AI solutions , including copilots, intelligent automation, and agent-based workflows
</li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
Good to Have Capabilities
</li></ul></li><li>Data Engineering (IT + OT)
<ul><li>Experience designing and maintaining data pipelines across IT and OT environments
</li><li>Exposure to sensor data, streaming / real-time data processing , and industrial data sources
</li><li>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
</li></ul></li><li>MLOps / AgentOps
<ul><li>Experience in model deployment and lifecycle management , including:
<ul><li>Transition from model development to production and scale
</li><li>Monitoring, retraining, versioning, and drift management
</li></ul></li><li>Familiarity with automation and operationalization of ML/AI workloads
 
 
Preferred Experience &amp; Platforms
</li></ul></li><li>Cloud &amp; Analytics Platforms
<ul><li>Experience working with enterprise cloud platforms, preferably:
<ul><li>Microsoft Azure Data Platform
</li><li>Databricks AI Platform
</li><li>Microsoft AI Foundry / Microsoft AI Factory
</li></ul></li>Understanding of cloud-native architectures for scalable analytics and AI solutions 
<li>
</li></ul></li></ul><div></div>Core Competencies:
<ul><li>Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
</li><li>Adoption &amp; Business Impact: Value realized, user adoption, integration success.
</li><li>Delivery Velocity: Timeliness of development cycles and deployment readiness.
</li><li>Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.</li></ul></div>

Principal Specialist, Data Science & Analytics

Tabby | تابي

<div>
 
 
 Department:
 
 Account Management
 
 
 
 Location:
 
 KSA
 
 
 
 
 Description
 
 
 
 
 
 Workspace Type:
 
 [Onsite - Riyadh]
 
 
 
 
 Department:
 
 Key Account Management
 
 
 
 Job Overview:
 
 
 As an Account Management Specialist, you are a
 
 senior strategic anchor
 
 within our expanding KSA team. You will own our most complex, high-value merchant relationships, moving beyond account maintenance to become a
 
 commercial architect
 
 for their success. You are responsible for the full lifecycle of merchant growth&mdash;designing sophisticated upsell/cross-sell strategies and ensuring Tabby is a core component of their financial ecosystem. Beyond your portfolio, you will serve as a mentor to junior team members and a key collaborator with leadership to refine our operational blueprints as we scale in the Kingdom.
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Strategic Portfolio Mastery:
 
 Drive the commercial roadmap for Tabby&rsquo;s most significant KSA merchants. Identify untapped revenue streams and execute high-level expansion strategies that align merchant business models with Tabby&rsquo;s evolving product suite.
 </li>
 <li>
 
 Executive-Level Alliances:
 
 Cultivate deep, trust-based partnerships with C-suite stakeholders and decision-makers. Serve as a consultant who provides macro-market insights, ensuring Tabby is positioned as a long-term strategic asset rather than just a payment provider.
 </li>
 <li>
 
 Operational &amp; Project Architecture:
 
 Own the design and execution of cross-functional projects across Product, Marketing, and Tech. You won't just participate; you will
 
 optimize the frameworks
 
 that improve merchant onboarding, retention, and lifecycle management.
 </li>
 <li>
 
 Predictive Analytics &amp; Storytelling:
 
 Leverage advanced data sets to build predictive models for account performance. You will lead high-impact Business Reviews (QBRs), translating raw metrics into compelling narratives that drive merchant ROI and preemptive churn mitigation.
 </li>
 <li>
 
 Mentorship &amp; Team Scaling:
 
 As a senior member of a pioneering KSA team, you will provide guidance and mentorship to Account Management Interns and Executives, helping to build a high-performance culture and standardized "best practices."
 </li>
 <li>
 
 High-Stakes Negotiation:
 
 Lead complex negotiations regarding contract renewals, specialized fee structures, and exclusive promotional partnerships to secure Tabby&rsquo;s market share while maintaining merchant profitability.
 
 
 
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Business, Economics, or a related quantitative field.
 </li>
 <li>
 
 Experience:
 
 
 2&ndash;5+ years
 
 of proven experience in Account Management, Strategic Sales, or Partnership Management (specifically within FinTech, E-commerce, or Payments).
 </li>
 <li>
 
 Commercial Expertise:
 
 A documented history of significantly growing high-value portfolios and exceeding complex KPIs.
 </li>
 <li>
 
 Advanced Analytical Rigor:
 
 Mastery in interpreting data and using visualization tools (Tableau/Looker) to drive commercial strategy.
 </li>
 <li>
 
 Influential Communication:
 
 Exceptional negotiation and presentation skills in both
 
 Arabic and English
 
 , with the ability to influence C-level stakeholders.
 </li>
 <li>
 
 Leadership Qualities:
 
 Demonstrated ability to lead projects independently and a passion for coaching/mentoring junior talent.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 <ul>
 <li>
 Deep expertise in the
 
 KSA retail and e-commerce landscape
 
 .
 </li>
 <li>
 Experience in
 
 process automation
 
 or building CRM workflows from scratch.
 </li>
 <li>
 Advanced technical knowledge of payment integrations and API-led products.
 </li>
 <li>
 A "builder" mindset&mdash;excited by the challenge of scaling a new team in a high-growth market.
 
 </li>
 </ul>
</div>

Account Management Specialist

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