business analyst

senior business analyst Jobs in Saudi Arabia

senior business analyst

data engineer

financial analyst

senior data engineer Jobs in Saudi Arabia

senior data engineer

data analyst

CleanLife

We're Hiring | Financial AnalystLocation: Riyadh, Saudi ArabiaJob Objective:Are you passionate about transforming numbers into strategic business decisions?We are looking for a Financial Analyst who can provide meaningful financial insights, build robust financial models, and support business leaders with data-driven recommendations. The ideal candidate will play a key role in budgeting, forecasting, financial planning, profitability analysis, and performance reporting to help drive sustainable business growth.Key Responsibilities:<ul><li>Prepare and analyze daily, weekly, monthly, and quarterly financial reports.</li><li>Develop and maintain financial models to support strategic planning and investment decisions.</li><li>Prepare annual budgets and periodic financial forecasts.</li><li>Conduct variance analysis between actual results, budgets, and forecasts.</li><li>Analyze revenue, operating costs, gross margins, and profitability across business units.</li><li>Monitor financial performance and identify business trends, risks, and growth opportunities.</li><li>Perform cost analysis and recommend initiatives to improve operational efficiency and optimize expenses.</li><li>Prepare cash flow forecasts and support working capital management.</li><li>Develop and monitor financial KPIs and executive dashboards.</li><li>Evaluate the financial feasibility of new projects, investments, and business initiatives.</li><li>Support month-end and year-end financial closing by providing financial analysis and reporting.</li><li>Partner with Accounting, Operations, Sales, Procurement, and other departments to ensure accurate financial data.</li><li>Prepare management presentations and executive reports for leadership.</li><li>Ensure the accuracy, integrity, and consistency of financial information.</li><li>Support internal and external audit requirements.</li><li>Identify opportunities to automate reporting processes and enhance reporting efficiency.</li><li>Stay current with financial regulations, accounting standards, and industry best practices.</li></ul>Qualifications:<ul><li>Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field.</li><li>3&ndash;5 years of experience in Financial Analysis, FP&amp;A, Corporate Finance, or a similar role.</li><li>Strong analytical, financial modeling, and problem-solving skills.</li><li>Advanced proficiency in Microsoft Excel and financial reporting tools.</li><li>Experience with ERP systems and BI tools is a plus.</li><li>Excellent communication and presentation skills.</li><li>Ability to work in a fast-paced environment and manage multiple priorities.</li><li>Professional certifications such as ACCA or ICAEW are highly preferred.</li></ul>Work Location: In person

Financial Analyst

Wisayah Investment Company

<div>
 
 
 Role Description
 
 
 
 
 
 
 
 
 
 The Data Scientist Senior Analyst plays a key role in embedding advanced analytics and AI-enabled capabilities into day-to-day investment and operational workflows. The role combines business-facing enablement with hands-on solution development&mdash;working across teams to improve how data is used, decisions are made, and processes are executed.
 
 
 
 
 
 The position begins with a strong focus on understanding the firm&rsquo;s data ecosystem and internal workflows and evolves into designing and building scalable solutions&mdash;from workflow automation to more advanced, model-driven applications that support the firm&rsquo;s broader digital transformation.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 1. Enablement &amp; Use-Case Development
 
 
 <ul>
 <li>
 Partner with teams across front, middle, and back office to identify where automation and AI can improve real workflows.
 </li>
 <li>
 Guide business teams in designing and adopting their own enhanced workflows, providing hands-on support, frameworks, and review.
 </li>
 <li>
 Structure business problems into clearly defined use cases, including requirements, prioritization, and expected impact.
 </li>
 <li>
 Maintain and track a centralized pipeline of initiatives, including progress, adoption, and outcomes (e.g., efficiency gains, quality improvements).
 </li>
 </ul>
 
 
 
 
 
 2. Solution Development &amp; Automation
 
 
 <ul>
 <li>
 Design and build practical solutions that enhance workflows, including automation, data-driven tools, and intelligent assistants.
 </li>
 <li>
 Develop and deploy AI-supported applications (e.g., agents, document/query solutions) with appropriate controls and reliability considerations.
 </li>
 <li>
 Support implementation of retrieval and knowledge-access solutions that make internal data and content more usable.
 </li>
 <li>
 Integrate solutions with internal systems and support end-to-end automation of recurring processes.
 </li>
 </ul>
 
 
 
 
 
 3. Data Landscape &amp; Foundations
 
 
 <ul>
 <li>
 Build a deep understanding of the firm&rsquo;s data architecture, including internal systems, vendor platforms, and document repositories.
 </li>
 <li>
 Map key data sources and flows to ensure solutions are grounded in what the data can support.
 </li>
 <li>
 Identify and help address gaps in data accessibility, quality, and structure that impact analytics and automation use cases.
 </li>
 </ul>
 
 
 
 
 
 4. Stakeholder &amp; Delivery Management
 
 
 <ul>
 <li>
 Act as a bridge between business stakeholders and technical or external partners.
 </li>
 <li>
 Support delivery and implementation efforts through hands-on involvement, review, and coordination.
 </li>
 <li>
 Contribute to evaluation and onboarding of new tools and platforms, including initial assessment of data handling considerations.
 </li>
 </ul>
 
 
 
 
 
 5. Continuous Development &amp; Innovation
 
 
 <ul>
 <li>
 Stay up to date with developments in investment management, data, and applied AI.
 </li>
 <li>
 Contribute to evolving the firm&rsquo;s capabilities by progressively taking on more advanced technical and solution-building responsibilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Skills
 
 
 
 
 
 <ul>
 <li>
 Investment Management
 </li>
 <li>
 Business &amp; Use-Case Structuring
 </li>
 <li>
 Data Analysis &amp; Automation
 </li>
 <li>
 Workflow Optimization
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Communication
 </li>
 <li>
 Applied AI / Emerging Technologies
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in finance, Economics, Business, Computer Science, Management Information System or a related field.
 </li>
 <li>
 4&ndash;7 years of experience combining investment domain knowledge with hands-on analytics, automation, or AI-related work.
 </li>
 <li>
 Proven ability to deliver practical solutions (e.g., automation, reporting tools, intelligent workflows) that are adopted by end users.
 </li>
 <li>
 Strong ability to translate between business needs and technical requirements.
 </li>
 <li>
 Familiarity with tools such as SQL, Python, or similar; experience working with data-driven workflows is preferred.
 </li>
 <li>
 Strong communication skills and experience working across cross-functional teams.
 </li>
 <li>
 High ownership mindset, with comfort operating in evolving and ambiguous environments.
 </li>
 </ul>
</div>

Data Scientist

ALSTOM

<div>At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.
Take on a new challenge and apply your Asset configuration and Data Management expertise in a new cutting-edge field. You&rsquo;ll be work alongside passionate, motivated and dedicated teammates in Riyadh Metro Project. You'll contribute . Day-to-day, you&rsquo;ll work closely with teams across the Operation &amp; Maintenance of the Riyadh Metro Project. 


You&rsquo;ll specifically take care of Asset Data including Configuration and Obsolescence, Day-to-day, you'll specifically take care of Asset Data, Configuration, and Obsolescence activities, including but not limited to: 

<div>
<ul><li>Asset Data Management: Support the creation and maintenance of asset records in IBM Maximo, ensuring asset information, serial numbers, software versions, and configuration data are accurate and up to date.</li></ul>
<ul><li>Obsolescence Management: Monitor asset and spare part obsolescence, follow up with Procurement, Engineering, and Design Authority teams, and maintain the Obsolescence Tracker with required updates and action plans.</li></ul>
<ul><li>Material Master Data Management: Support SAP GSI part number creation and extension activities, ensuring compliance with established data standards and processes.</li></ul>
<ul><li>Reporting &amp; KPIs: Develop and maintain reports, dashboards, and key performance indicators (KPIs) using Power BI and Excel to support decision-making.</li></ul>
<ul><li>Cross-Functional Collaboration: Work closely with team members form Maintenance, Engineering, Procurement, Supply Chain, and other stakeholders to support asset data governance and continuous improvement initiatives.</li></ul>
<ul><li>Quality Assurance: Review and verify documents for completeness and consistency, ensuring that all records are current and accessible.</li></ul>
</div>
All about you 


We value passion and attitude over experience. That&rsquo;s why we don&rsquo;t expect you to have every single skill. Instead, we&rsquo;ve listed some that we think will help you succeed and grow in this role:
<ul>
<li>University Degree in Information Technology, Computer Science, Engineering, Information Systems, or a related field</li>
<li>Interest in Asset Management, Configuration Management, or Data Management</li>
<li>Knowledge of database concepts and data quality principles</li>
<li>Knowledge of Microsoft Excel and data analysis tools</li>
<li>Knowledge or experience with Microsoft Power BI</li>
<li>Highly self-motivated individual, able to work under your own initiative</li>
<li>Knowledge of ERP, EAM, or CMMS systems (SAP, IBM Maximo, etc.) is an advantage</li>
<li>Knowledge of the rail or construction environment and engineering practices is a plus</li>
<li>Fluent in English</li>
<li>Good co-ordination and communication skills</li></ul> 


Things you&rsquo;ll enjoy

Join us on a transformative journey &ndash; the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You&rsquo;ll also:
<ul>
<li>Enjoy challenges and set-up a creer free from boring daily routines</li>
<li>Collaborate with transverse teams and helpful colleagues</li>
<li>Contribute to innovative projects</li>
<li>Gain hands-on experience with industry-leading systems such as IBM Maximo, SAP, and Power BI</li>
<li>Steer your career in whatever direction you choose across functions and countries</li>
<li>Benefit from our investment in your development, through award-winning learning</li>
</ul>
Alstom is the leading company in the mobility sector, solving the most interesting challenges for tomorrow&rsquo;s mobility. That&rsquo;s why we value inquisitive and innovative people who are passionate about working together to reinvent mobility, making it smarter and more sustainable. Day after day, we are building an agile, inclusive and responsible culture, where a diverse group of people are offered opportunities to learn, grow and advance in their careers, with options across functions and geographic locations. Are you ready to join a truly international community of great people on a challenging journey with a tangible impact and purpose? 
 
Job Segment: Computer Science, Information Systems, Quality Assurance, Supply Chain, ERP, Operations, Technology</div>

Asset and Configuration Intern

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you'll do
 
 
 
 
 
 <ul>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions
 </li>
 <li>
 Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity
 </li>
 <li>
 Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields
 </li>
 <li>
 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models
 </li>
 <li>
 Programming experience over three years, including data manipulation using Python or other languages
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub
 </li>
 <li>
 Experience in SQL or NoSQL is preferred
 </li>
 <li>
 Familiarity with big data technologies, such as Spark
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker
 </li>
 <li>
 Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
 
 &nbsp;
 
</div>

Data Scientist III

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Business Analyst (8&ndash;12+ Years Experience)</h1><h2 class="jobSectionHeader">
Job Title: Business Analyst</h2><h2 class="jobSectionHeader">
Experience: 8&ndash;12+ Years</h2><h2 class="jobSectionHeader">
Location: Riyadh, Saudi Arabia</h2><h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking an experienced Business Analyst to bridge business needs with technology solutions by gathering, analyzing, documenting, and validating business and functional requirements. The ideal candidate will have extensive experience in requirements elicitation, business process analysis, documentation, stakeholder management, and User Acceptance Testing (UAT) support to ensure successful project delivery.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Elicit, analyze, document, and validate business and functional requirements.</li><li>
Conduct stakeholder interviews, workshops, and requirement-gathering sessions.</li><li>
Create business requirement documents (BRDs), functional requirement documents (FRDs), use cases, user stories, workflows, and process maps.</li><li>
Analyze current business processes and recommend improvements.</li><li>
Maintain end-to-end requirements traceability throughout the project lifecycle.</li><li>
Collaborate with product owners, project managers, developers, QA teams, and business stakeholders.</li><li>
Support User Acceptance Testing (UAT), defect triage, and business validation activities.</li><li>
Facilitate change management and ensure requirements are aligned with business objectives.</li><li>
Assist in solution design discussions and impact analysis.</li></ul><h2 class="jobSectionHeader">
Must Have Skills</h2><ul><li>
Experience in Requirements Elicitation AND Use Cases AND Process Documentation AND Requirements Traceability AND UAT Support.</li><li>
Requirements documentation: BRD OR FRD OR User Stories OR Use Cases OR Functional Specifications.</li><li>
Process modeling: BPMN OR UML OR Process Flow Diagrams OR Swimlane Diagrams.</li><li>
Project methodologies: Agile OR Scrum OR Waterfall OR Hybrid.</li><li>
Documentation and collaboration tools: Jira OR Azure DevOps OR Confluence OR Microsoft Visio OR Lucidchart.</li><li>
Stakeholder Management AND Gap Analysis AND Impact Analysis.</li><li>
Business Process Analysis AND Process Improvement AND Requirement Validation.</li><li>
Strong analytical, communication, facilitation, and problem-solving skills.</li><li>
Experience working with cross-functional business and technical teams.</li></ul><h2 class="jobSectionHeader">
Good to Have Skills</h2><ul><li>
Certifications: CBAP OR CCBA OR PMI-PBA OR ECBA.</li><li>
Knowledge of SQL OR Excel OR Power BI OR Tableau for data analysis and reporting.</li><li>
Experience with API integrations and system integration projects.</li><li>
Familiarity with SDLC OR DevOps OR CI/CD concepts.</li><li>
Experience in digital transformation, enterprise applications, or cloud-based solutions.</li><li>
Exposure to change management and business process reengineering initiatives.</li><li>
Domain experience in Banking, Finance, Healthcare, Telecom, Retail, Government, or Enterprise IT projects.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Bachelor's degree in Business Administration, Information Technology, Computer Science, Engineering, or a related field.</li><li>
8&ndash;12 years of experience as a Business Analyst in IT or enterprise projects.</li><li>
Proven ability to manage complex requirements across multiple stakeholders and projects.</li><li>
Excellent documentation, presentation, negotiation, and stakeholder communication skills.</li><li>
Ability to work independently while collaborating effectively with cross-functional teams.</li></ul>
Irtfo8sLTe</div>

Business Analyst

<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

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

Explore 205+ Data analyst in Saudi Arabia this August. Find roles across top companies and apply now to boost your career.