data analytics specialist

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
 </li>
 <li>
 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
 
 
 </li>
 </ul>
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Lead End-to-End Data Science Delivery
 </li>
 <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>
 Ensuring data security and compliance with relevant regulations
 </li>
 <li>
 Drive experimentation, model versioning, automated retraining, and continuous improvement.
 </li>
 <li>
 Translate Business Needs into AI/Analytics Solutions
 </li>
 <li>
 Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
 </li>
 <li>
 Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
 </li>
 <li>
 Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
 </li>
 <li>
 Industrialize AI/ML Models (ML Ops &amp; Architecture)
 </li>
 <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>
 <li>
 Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
 </li>
 <li>
 Responsible AI, Quality &amp; Governance
 </li>
 <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>
 <li>
 Ensure transparency, explainability, and continuous model governance across production and enterprise environments
 </li>
 <li>
 Stakeholder Management &amp; Value Realization
 </li>
 <li>
 Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
 </li>
 <li>
 Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 
 Minimum Qualification, Experience and Core Competencies:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 Good to Have Capabilities
 
 
 <ul>
 <li>
 Minimum Experience:
 </li>
 <li>
 6+ 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
 </li>
 <li>
 Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
 </li>
 <li>
 Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) &ndash; Microsoft AI Factory
 </li>
 <li>
 Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
 </li>
 <li>
 Machine Learning &amp; Advanced Analytics
 </li>
 <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>
 Generative AI &amp; AI Agents
 </li>
 <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
 
 
 </li>
 </ul>
 </ul>
 Preferred Experience &amp; Platforms
 
 
 <ul>
 <li>
 Data Engineering (IT + OT)
 </li>
 <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>
 <li>
 MLOps / AgentOps
 </li>
 <li>
 Experience in model deployment and lifecycle management, including:
 </li>
 <ul>
 <li>
 Transition from model development to production and scale
 </li>
 <li>
 Monitoring, retraining, versioning, and drift management
 </li>
 </ul>
 <li>
 Familiarity with automation and operationalization of ML/AI workloads
 </li>
 </ul>
 <ul>
 <li>
 Cloud &amp; Analytics Platforms
 </li>
 <li>
 Experience working with enterprise cloud platforms, preferably:
 </li>
 <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>
 </ul>
 
 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>

Lead Specialist, Data Science & Analytics II

Confidential Government

<div>
 
 
 Job Summary:
 
 
 
 The data Analyst is responsible for analyzing organizational data, monitoring KPIs and performance metrics, developing interactive Power BI dashboards, and supporting executive management with data-driven insights. The role also contributes to risk management activities, business analysis, and continuous performance improvement initiatives across the organization.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Monitor, analyze, and report on organizational KPIs and performance metrics.
 </li>
 <li>
 Support the development and implementation of performance measurement frameworks.
 </li>
 <li>
 Track business performance against strategic objectives and identify improvement opportunities.
 </li>
 </ul>
 
 
 
 
 
 Power BI &amp; Dashboards:
 
 
 <ul>
 <li>
 Design, develop, and maintain interactive Power BI dashboards and reports.
 </li>
 <li>
 Build automated reporting solutions and data visualizations.
 </li>
 <li>
 Ensure data accuracy, consistency, and usability across dashboards.
 </li>
 </ul>
 
 
 
 
 
 Data Analysis:
 
 
 <ul>
 <li>
 Collect, clean, validate, and analyze data from multiple sources.
 </li>
 <li>
 Identify trends, patterns, and business insights to support decision-making.
 </li>
 <li>
 Perform ad hoc analyses and present findings to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Risk Management:
 
 
 <ul>
 <li>
 Support the identification, assessment, and monitoring of operational and organizational risks.
 </li>
 <li>
 Prepare risk reports and dashboards for management.
 </li>
 <li>
 Assist in monitoring risk indicators and compliance requirements.
 </li>
 </ul>
 
 
 
 
 
 Executive Management Support:
 
 
 <ul>
 <li>
 Prepare executive dashboards and management reports.
 </li>
 <li>
 Develop presentations and analytical materials for leadership meetings.
 </li>
 <li>
 Monitor strategic initiatives and executive performance indicators.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's or diploma degree in any related field.
 </li>
 <li>
 Preferred prior experience in Business Intelligence, Performance Management and, Data Analytics.
 </li>
 <li>
 Advanced proficiency in Power BI and Excel (Dashboard design and reporting).
 </li>
 <li>
 Strong knowledge of KPI development and performance measurement.
 </li>
 </ul>
 
 
 
</div>

Data Analyst

MASTER-WORKS

<div>Master Works is seeking a detail-oriented and analytical Data Management, Specialist to support and lead activities across multiple data management domains. The successful candidate will be responsible for ensuring the accuracy, integrity, security, and accessibility of organizational data by managing data collection, validation, maintenance, governance, and quality processes. You will work closely with cross-functional teams to develop and implement data management standards, improve data quality, ensure compliance with company policies and regulatory requirements, support reporting and analytics, and drive continuous improvement initiatives that enable informed decision-making and operational excellence. 
Key Responsibilities
<ul><li>Develop and maintain enterprise Data Governance frameworks, including policies, standards, procedures, and controls for Data Quality, Metadata, Master Data, Reference Data, and AI Governance.
</li><li>Manage and monitor Data Quality and Metadata by establishing KPIs, conducting assessments, maintaining the Enterprise Data Catalog and Business Glossary, documenting data lineage, and ensuring compliance with organizational and NDMO requirements.
</li><li>Govern Master and Reference Data by standardizing data definitions, assigning Data Owners and business responsibilities, maintaining reference data, and ensuring data consistency, integrity, and compliance across enterprise systems.
</li><li>Design, develop, and maintain Power BI dashboards, reports, and data visualizations by integrating enterprise data sources to support business intelligence, reporting, and informed decision-making.</li><li>
Develop and implement AI Governance policies, standards, and controls, assess AI-related risks, review AI use cases, and ensure the responsible, ethical, and compliant use of AI solutions.</li><li>
Collaborate with business units, IT, Cybersecurity, Data Owners, and other stakeholders to resolve data governance issues, drive continuous improvement initiatives, and ensure effective implementation of governance practices.</li><li>
Prepare and present governance, compliance, quality, and maturity reports, support NDMO and National Data Index (NDI) compliance initiatives, and promote enterprise-wide awareness of Data Governance and AI Governance best practices</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Data Science, Computer Science, Information Systems, Information Technology, Software Engineering, Artificial Intelligence or Data Analytics.</li><li>
A Master's degree is considered an advantage.
</li><li>Relevant professional certifications (e.g., CDMP, DGSP, Microsoft Power BI Certification, DAMA-related certifications, or AI Governance/AI Ethics certifications) are highly desirable.</li><li>
5&ndash;7 years of relevant experience in Data Management or Data Governance.</li><li>
Demonstrated experience in implementing NDMO controls or similar enterprise data governance frameworks.</li><li>
Experience with metadata management, data quality, master data management, and business intelligence.</li><li>
Experience working with enterprise Data Governance platforms (e.g., Informatica, Collibra, Alation, or equivalent).</li><li>
Hands-on Power BI experience.</li><li>
Experience with AI Governance is highly desirable.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management.</li><li>
Ability to lead cross-functional initiatives.</li><li>
Report writing and presentation skills.</li><li>
Strong coordination and project management capabilities.</li></ul>
Technical Skills<ul><li>
Data Governance</li><li>
Data Quality Management</li><li>
Metadata Management</li><li>
Data Catalog</li><li>
Business Glossary</li><li>
Master Data Management (MDM)</li><li>
Reference Data Management (RDM)</li><li>
Power BI</li><li>
SQL (Preferred)</li><li>
Data Modeling Concepts</li><li>
Data Lineage</li><li>
Data Architecture Fundamentals</li><li>
AI Governance Principles
</li></ul>Job location: Client Site</div>

Data Management, Specialist

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Analytics &amp; Transformation Engineer</h1>
Job Title: Analytics &amp; Transformation Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Analytics &amp; Transformation Engineer with 3&ndash;11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Visualization</h3><ul><li>
Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader">
Data Modeling &amp; Analytics Engineering</h3><ul><li>
Strong experience with SQL and dbt for data transformation and analytics workflows.</li><li>
Experience designing and maintaining semantic models and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader">
Product &amp; Behavioral Analytics</h3><ul><li>
Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader">
Experimentation &amp; Measurement</h3><ul><li>
Experience designing and analyzing A/B testing initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader">
Reporting &amp; Productivity Tools</h3><ul><li>
Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>
3&ndash;11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Business Intelligence: Power BI or Tableau or Looker</li><li>
Analytics Engineering: dbt and SQL</li><li>
Data Modeling: Semantic Models and Metrics Frameworks</li><li>
Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar</li><li>
Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing</li><li>
Reporting &amp; Analysis: Excel and Dashboard Creation</li><li>
Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness</li><li>
Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs</li></ul>
YIaTsfUsPM</div>

Analytics & Transformation Engineer

Emdad By Elm

<div>
 
 
 Job Summary
 
 
 
 
 
 
 Responsible for
 
 integrating data from multiple technology systems,
 
 
 databases
 
 , and
 
 data warehouses
 
 , transforming d
 
 ata into actionable insights, and developing intelligent
 
 dashboards and
 
 analytics solutions that support executive decision-making
 
 . The role focuses on data visualization, automation,
 
 AI adoption
 
 , and continuous enhancement to improve technology performance and operational efficiency.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Integrate and consolidate data from enterprise systems, databases, APIs, and data warehouses to build reliable dashboards and reporting solutions.
 </li>
 <li>
 Design, develop, and continuously enhance dashboards using Microsoft Power BI, Tableau, or similar enterprise platforms.
 </li>
 <li>
 Build and maintain centralized dashboards that consolidate all technology metrics into a single source of truth, enabling detailed monitoring and executive decision-making.
 </li>
 <li>
 Analyze technology data to identify trends, risks, anomalies, and performance improvement opportunities by dashboards.
 </li>
 <li>
 Develop automation workflows to streamline reporting processes, reduce manual effort, and improve operational efficiency.
 </li>
 <li>
 Explore and implement AI-powered capabilities to enhance predictive analytics, intelligent reporting, and automated decision support.
 </li>
 <li>
 Work with technology teams to understand technical data structures and translate requirements into scalable analytics solutions.
 </li>
 <li>
 Support continuous improvement initiatives by identifying opportunities to enhance technology products, requests, and operational performance through data-driven insights.
 </li>
 <li>
 Design intelligent automation workflows that proactively detect issues, trigger alerts, generate AI-driven recommendations, and automatically assign actions to relevant stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Information Technology, or a related field.
 </li>
 </ul>
 
 
 Certifications
 
 
 <ul>
 <li>
 
 Microsoft Power BI/ Tableau Certification
 
 </li>
 <li>
 
 SQL / Database Management Certification
 
 (Preferred)
 </li>
 <li>
 
 Data Analytics Certifications
 
 </li>
 <li>
 
 ITIL v4 Foundation
 
 (Preferred)
 </li>
 <li>
 
 AI / Machine Learning Fundamentals Certification
 
 (Preferred)
 </li>
 <li>
 
 Automation Platform Experience (Microsoft Power Automate, n8n, UiPath)
 
 (Preferred)
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 
 3&ndash;4 years of experience in Data Intelligence, dashboard development, enterprise data integration, automation workflows, and AI-enabled analytics solutions.
 
 </li>
 </ul>
 
 
 Skills
 
 
 <ul>
 <li>
 Advanced
 
 Microsoft Power BI / Tableau Development
 
 </li>
 <li>
 
 Data Visualization &amp; Dashboard Design
 
 </li>
 <li>
 
 Data Integration &amp; System Connectivity (APIs, Databases, Enterprise Systems)
 
 </li>
 <li>
 
 SQL, Data Modeling &amp; Data Warehouse Understanding
 
 </li>
 <li>
 
 Technical Data Analysis &amp; Executive Reporting
 
 </li>
 <li>
 
 Process Automation &amp; Workflow Optimization (Microsoft Power Automate / n8n / UiPath)
 
 </li>
 <li>
 
 AI Tools Adoption &amp; AI-driven Analytics
 
 </li>
 <li>
 Predictive Analytics &amp; Intelligent Reporting
 </li>
 </ul>
</div>

Technology Data Intelligence Specialist

Incorta

<div>
 Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.
 
 
 We are seeking a talented Presales Solutions Engineer to join our growing team in Saudi Arabia
 
 
 Arabia. The ideal candidate will have a strong background in Data Analytics, Data Management,
 
 
 and Data Engineering, with proven experience supporting enterprise sales cycles. Knowledge of
 
 
 Generative AI technologies and how they apply to analytics and decision-making are highly
 
 
 desirable.
 
 
 This individual will work closely with the sales team, prospects, and customers to demonstrate
 
 
 How Incorta&rsquo;s Unified Data and Analytics Platform can solve complex data challenges and
 
 
 deliver rapid business value.
 
 
 
 YOU WILL
 
 
 
 <ul>
 <li>
 Partner with Sales to deliver compelling value propositions, product demonstrations, and
 </li>
 <li>
 Proofs of Concept (POCs) to prospective customers.
 </li>
 <li>
 Lead technical discovery sessions with customers to understand their data architecture, business needs, and current pain points.
 </li>
 <li>
 Translate customer requirements into Incorta-based solutions, showcasing our Advantages in real-time data ingestion, transformation, and visualization.
 </li>
 <li>
 Build custom demos and POCs, leveraging Incorta&rsquo;s platform (including Incorta Nexus GenAI), Data Apps, and integration with source systems like Oracle, SAP, Snowflake, etc.
 </li>
 <li>
 Explain data modeling concepts, query optimization, and data pipeline architecture to both technical and business audiences.
 </li>
 <li>
 Collaborate with product and engineering teams to provide feedback from the field.
 </li>
 <li>
 Present at events, webinars, and customer workshops as a technical expert.
 </li>
 <li>
 Stay updated with data trends, GenAI developments, and regional market demands.
 </li>
 <li>
 Support RFPs/RFIs and contribute to technical proposals.
 
 
 </li>
 </ul>
 
 YOU HAVE
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in Presales, Solutions Engineering, or related customer-facing
 </li>
 <li>
 technical roles.
 </li>
 <li>
 Strong understanding of data platforms, including data modeling, ETL/ELT pipelines, and data warehousing concepts.
 </li>
 <li>
 Familiarity with data management practices, including governance, quality, and metadata.
 </li>
 <li>
 Hands-on experience with platforms like Incorta, Snowflake, Databricks, MS Fabric, or similar is a plus.
 </li>
 <li>
 Exposure to or understanding of Generative AI (LLMs, RAG, AI copilots) in analytics is a strong plus.
 </li>
 <li>
 Strong communication and presentation skills in both English and Arabic.
 </li>
 <li>
 Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Strong SQL skills; knowledge of Python is a plus.
 </li>
 <li>
 Experience designing or presenting cloud-based architectures (AWS, GCP, Azure).
 </li>
 <li>
 Familiarity with NDMO, PDPL, or regional data regulations is a plus.
 </li>
 <li>
 Ability to engage with both technical and executive-level stakeholders.
 
 
 </li>
 </ul>
 We could tell you that we&rsquo;re building something that truly optimizes the way business intelligence is done. We could also tell you that we&rsquo;re backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine&rsquo;s Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner&reg; Magic Quadrant&trade; and the 2022 Gartner&reg; Market Guide. All true, but the real reason you will want to come work for Incorta is that you&rsquo;ll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in seconds...not days or weeks like the current solutions.
 
 
 Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
</div>

Senior Presales Solutions Engineer

Dallah Hospital

<div>
 
 
 Job Purpose
 
 
 
 
 
 
 The Strategy Analyst supports the (CSO) in driving the healthcare organization's strategic agenda by translating the organizational vision into measurable, actionable outcomes. The role exists to ensure that the organization's strategic plan is continuously monitored, rigorously analysed, and effectively executed across all departments. Through the application of the Balanced Scorecard (BSC) framework, advanced data analysis, and structured process improvement project tracking, the Strategy Analyst serves as the analytical and operational backbone of the Corporate Strategy function. The incumbent plays a pivotal role in bridging executive-level strategic intent with day-to-day organizational performance, enabling the CSO and the broader leadership team to make timely, evidence-based decisions that advance the organization's mission to deliver high-quality, patient-centred healthcare.
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 
 
 
 
 Organizational Accountabilities:
 
 <ul>
 <li>
 Leads and supports the CSO in the annual and multi-year strategic planning cycle. Facilitates cross-departmental strategy alignment workshops and ensures all business units' objectives are coherently linked to the enterprise strategic plan.
 </li>
 <li>
 Owns the design, development, and continuous refinement of the organizational BSC across all four perspectives: Financial, Customer, Internal Processes, and Learning &amp; Growth.
 </li>
 <li>
 Prepares and presents high-level strategic performance reports &mdash; including KPI dashboards, variance analyses, and executive scorecards &mdash; for the CSO, C-Suite, and Board of Directors.
 </li>
 <li>
 Translates enterprise-level strategic objectives into departmental scorecards and operational targets, ensuring vertical and horizontal alignment throughout the organization.
 </li>
 <li>
 Engages with senior leadership and cross-functional heads to gather data, validate strategic assumptions, and build organizational buy-in for strategic initiatives.
 </li>
 <li>
 Identifies strategic-level risks, trends, and deviations. Provides analytical recommendations and escalates critical issues to the CSO with supporting evidence and proposed corrective actions. Identifies capability gaps in strategic thinking and BSC application across the organization. Advises on training needs and contributes to strategic literacy programmes.
 </li>
 </ul>
 
 
 
 
 Functional Accountabilities:
 
 <ul>
 <li>
 Performs advanced quantitative and qualitative analysis on clinical, operational, and financial datasets to identify trends, performance gaps, and strategic opportunities. Translates complex data into executive-level insights.
 </li>
 <li>
 Designs the KPI framework, defines measures and targets, and builds the architecture of dashboards and visual reports using Tableau or Power BI. Determines what is measured and why.
 </li>
 <li>
 Builds financial models, conducts scenario analyses, and performs cost-benefit and ROI assessments to support strategic investment decisions and recommendations to the CSO.
 </li>
 <li>
 Identify trends, issues, or deviations from the project plan and recommend corrective actions.
 </li>
 <li>
 Maintains oversight of the strategic project portfolio, monitoring alignment of all initiatives with the BSC and strategic objectives. Identifies portfolio-level risks and strategic gaps.
 </li>
 <li>
 Conducts impact assessments and cost-benefit analyses for process improvement initiatives. Evaluates post-implementation outcomes and integrates findings into the BSC and strategic reporting.
 </li>
 <li>
 Authors strategic presentations, memos, and briefing documents for the CSO, C-Suite, and Board. Leads preparation of materials for strategic planning retreats and board-level performance reviews.
 </li>
 <li>
 Attends strategic steering committees and executive meetings as an analytical resource. Contributes insights and follows up on strategic action items.
 </li>
 <li>
 Responds to time-sensitive analytical requests from the CSO and executive team, conducting rapid research and structured analysis to inform urgent strategic decisions.
 </li>
 <li>
 Not applicable. The Strategy Analyst focuses on analytical and strategic outputs, not PMO administration.
 </li>
 </ul>
 
 
 
 
 
 
 
 Job Qualifications and Requirements
 
 
 Knowledge and Experience
 
 <ul>
 <li>
 Strong analytical skills with attention to detail and ability to interpret complex data.
 </li>
 <li>
 4&ndash;6 years in data analysis, business strategy, or strategic planning roles. Healthcare sector experience is a strong advantage.
 </li>
 <li>
 Proficient in Excel, PowerPoint, and data visualization tools (e.g., Power BI, Tableau).
 </li>
 <li>
 Experience working in structured environments with multiple stakeholders.
 </li>
 </ul>
 
 Education and Certifications
 
 <ul>
 <li>
 Bachelor's degree in Business Administration, Healthcare Management, Data Analytics, Economics, or related field &mdash; required. Master's degree (MBA, MHA, MPH) &mdash; strongly preferred.
 </li>
 <li>
 Certification in project analysis, business analytics, or project management (e.g., KPI, OKR, BSC..etc) &ndash; preferred.
 </li>
 <li>
 Certifications in strategy, analytics, or performance management (e.g., BSC Professional, OKR, PMP, Data Analytics) &mdash; preferred.
 </li>
 </ul>
 
 Skills
 
 <ul>
 <li>
 Excellent administrative and organizational skills.
 </li>
 <li>
 Good communication skills in Arabic and English (verbal and written).
 </li>
 <li>
 Strong proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook).
 </li>
 <li>
 Ability to prepare clear reports, meeting minutes, and maintain accurate records.
 </li>
 <li>
 Time management skills with attention to detail and accuracy.
 </li>
 <li>
 Basic knowledge of IT service workflows and healthcare IT systems is desirable.
 </li>
 <li>
 Ability to manage confidential information professionally.
 </li>
 </ul>
 
 Attitude
 
 <ul>
 <li>
 Strong Work Ethic
 </li>
 <li>
 Dependability and Responsibility
 </li>
 <li>
 Possessing a Positive Attitude
 </li>
 <li>
 Adaptability
 </li>
 <li>
 Honesty and Integrity
 </li>
 <li>
 Self-Motivated
 </li>
 <li>
 Motivated to Grow and Learn
 </li>
 <li>
 Strong Self-Confidence
 </li>
 </ul>
 
 
 
</div>

Strategy Analyst

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