senior data engineer

2026 financial analyst intern Jobs in Riyadh

2026 financial analyst intern

[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

associate data analyst - builders program Jobs in Riyadh

business analyst

data analytics analyst

TAWANTECH

<div>JOB PURPOSE &amp; SUMMARY
The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
strategies. The successful candidate will design robust predictive frameworks and build self-service
visualization assets to guide corporate decision-making.
KEY RESPONSIBILITIES<ul><li>Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product</li></ul>
affinity.<ul><li>Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey</li></ul>
friction points, and engagement lifecycle stages.<ul><li>Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly</li></ul>
measure marketing ROI and portfolio performance.<ul><li>Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,</li></ul>
real-time metrics for executive leadership.<ul><li>Extract, clean, and manipulate heavy transactional and profile records from central enterprise data</li></ul>
warehouses.<ul><li>Act as an analytical business partner, converting data findings into commercial recommendations for</li></ul>
product development and marketing departments. 
Requirements 
JOB REQUIREMENTS &amp; QUALIFICATIONS<ul><li>Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity.</li><li>Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive</li></ul>
statistical teams, or sophisticated commercial analysis environments.<ul><li>Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/</li></ul>
data manipulation and Python for statistical modeling.<ul><li>Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual</li></ul>
dashboards in Power BI or Tableau.<ul><li>Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity</li></ul>
modelling) and executing behavioral analytics tracks.</div>

Data Analytics / Customer Intelligence Specialist

<div>
 
 Job Purpose &amp; Summary
 
 
 
 The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
 
 
 into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
 
 
 business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
 
 
 strategies. The successful candidate will design robust predictive frameworks and build self-service
 
 
 visualization assets to guide corporate decision-making.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product
 
 
 </li>
 </ul>
 affinity.
 
 
 <ul>
 <li>
 Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey
 
 
 </li>
 </ul>
 friction points, and engagement lifecycle stages.
 
 
 <ul>
 <li>
 Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly
 
 
 </li>
 </ul>
 measure marketing ROI and portfolio performance.
 
 
 <ul>
 <li>
 Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,
 
 
 </li>
 </ul>
 real-time metrics for executive leadership.
 
 
 <ul>
 <li>
 Extract, clean, and manipulate heavy transactional and profile records from central enterprise data
 
 
 </li>
 </ul>
 warehouses.
 
 
 <ul>
 <li>
 Act as an analytical business partner, converting data findings into commercial recommendations for
 
 
 </li>
 </ul>
 product development and marketing departments.
 
 
 
 Requirements
 
 
 
 
 JOB REQUIREMENTS &amp; QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity
 </li>
 <li>
 Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive
 
 
 </li>
 </ul>
 statistical teams, or sophisticated commercial analysis environments.
 
 
 <ul>
 <li>
 Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/
 
 
 </li>
 </ul>
 data manipulation and Python for statistical modeling.
 
 
 <ul>
 <li>
 Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual
 
 
 </li>
 </ul>
 dashboards in Power BI or Tableau.
 
 
 <ul>
 <li>
 Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity
 
 
 </li>
 </ul>
 modelling) and executing behavioral analytics tracks.
</div>

atmaal

<div>
 
 Counter Fraud &ndash; Data Quality Specialist
 
 
 
 
 
 We are looking for a highly analytical and detail oriented professional to join our Fraud Risk team as a Counter Fraud &ndash; Data Quality Specialist.
 
 
 
 
 
 The role focuses on ensuring the accuracy, completeness, and reliability of fraud related data to strengthen fraud detection, prevention, and regulatory reporting capabilities in alignment with SAMA requirements.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Manage and monitor fraud data quality including validation, deduplication, and completeness checks
 
 
 &bull; Design and maintain fraud data frameworks and data flows
 
 
 &bull; Conduct advanced fraud analytics to identify trends, anomalies, and root causes
 
 
 &bull; Support fraud detection systems through rule tuning, scenario testing, and data enrichment
 
 
 &bull; Coordinate with Data Management teams to maintain fraud data lakes and ensure continuous data flow
 
 
 &bull; Prepare internal and external regulatory fraud reports
 
 
 &bull; Support cross functional initiatives related to fraud risk and data governance
 
 
 
 
 
 Requirements:
 
 
 &bull; Bachelor&rsquo;s degree in Computer Science, MIS, CIS, or related field
 
 
 &bull; Strong SQL and data analysis skills (Python is a plus)
 
 
 &bull; Knowledge of fraud detection systems and Data Lake environments such as SAS
 
 
 &bull; Understanding of fraud typologies and digital banking risks
 
 
 &bull; Strong analytical, communication, and problem solving skills
 
 
 &bull; Fluent in English
 
</div>

Data Quality Analyst

PrimeGate for Communications and IT

<div>
 We are seeking a highly analytical and technically strong Performance Analyst to support the PMO in building and managing a centralized enterprise performance dashboard environment using Microsoft Power BI and Microsoft Fabric.
 
 
 The role will focus on creating live executive dashboards covering project performance, financials, operational KPIs, HR metrics, warehouse operations, contracts, procurement, and enterprise reporting across all business units.
 
 
 
 Position
 
 
 
 
 Performance Analyst &ndash; PMO &amp; Enterprise Analytics
 
 
 
 
 Department
 
 
 
 PMO / Strategy &amp; Performance Management
 
 
 
 Reporting To
 
 
 
 PMO Director
 
 
 
 Job Type
 
 
 
 Full-Time
 
 
 
 Location
 
 
 
 Riyadh, Saudi Arabia
 
 
 
 Role Purpose
 
 
 
 Design, develop, and maintain enterprise-wide live dashboards and analytical reporting solutions that provide real-time visibility into:
 
 
 <ul>
 <li>
 Project performance
 </li>
 <li>
 Revenue and profitability
 </li>
 <li>
 P&amp;L tracking
 </li>
 <li>
 Cost control
 </li>
 <li>
 Resource utilization
 </li>
 <li>
 HR metrics
 </li>
 <li>
 Warehouse and inventory operations
 </li>
 <li>
 Contracts and procurement performance
 </li>
 <li>
 Executive portfolio KPIs
 
 
 </li>
 </ul>
 The candidate will work closely with PMO, Finance, HR, Operations, Procurement, and IT teams to integrate data sources and create a unified performance management ecosystem.
 
 
 
 Key Responsibilities
 
 
 
 
 Enterprise Dashboard Development
 
 
 
 <ul>
 <li>
 Develop interactive executive dashboards using Microsoft Power BI
 </li>
 <li>
 Build enterprise reporting architecture using Microsoft Fabric
 </li>
 <li>
 Design real-time KPI monitoring systems
 </li>
 <li>
 Create drill-down dashboards from portfolio level to project/activity level
 </li>
 <li>
 Build automated reporting environments with minimal manual intervention
 
 
 </li>
 </ul>
 
 PMO &amp; Project Analytics
 
 
 
 <ul>
 <li>
 Develop project performance dashboards covering:
 </li>
 <ul>
 <li>
 Schedule performance
 </li>
 <li>
 Cost performance
 </li>
 <li>
 Revenue tracking
 </li>
 <li>
 Gross margin
 </li>
 <li>
 Forecast vs actual
 </li>
 <li>
 Earned value metrics
 </li>
 <li>
 Resource productivity
 </li>
 <li>
 Risk and issue tracking
 </li>
 <li>
 Change requests
 </li>
 <li>
 Work order tracking
 </li>
 </ul>
 <li>
 Build dashboards tailored for different project types:
 </li>
 <ul>
 <li>
 Telecom/Fiber projects
 </li>
 <li>
 Civil projects
 </li>
 <li>
 Managed services
 </li>
 <li>
 Operations &amp; maintenance
 </li>
 <li>
 Capex projects
 
 </li>
 </ul>
 </ul>
 
 Financial &amp; P&amp;L Reporting
 
 
 
 <ul>
 <li>
 Integrate financial systems into dashboards
 </li>
 <li>
 Build:
 </li>
 <ul>
 <li>
 P&amp;L dashboards
 </li>
 <li>
 Revenue recognition tracking
 </li>
 <li>
 Cash flow reporting
 </li>
 <li>
 Budget vs actual analysis
 </li>
 <li>
 OPEX/CAPEX monitoring
 </li>
 <li>
 Profitability analysis by project/client/business unit
 </li>
 </ul>
 <li>
 Support executive decision-making through financial analytics
 
 
 </li>
 </ul>
 
 HR &amp; Resource Analytics
 
 
 
 <ul>
 <li>
 Build HR dashboards including:
 </li>
 <ul>
 <li>
 Headcount
 </li>
 <li>
 Saudization
 </li>
 <li>
 Attendance
 </li>
 <li>
 Overtime
 </li>
 <li>
 Utilization
 </li>
 <li>
 Productivity
 </li>
 <li>
 Recruitment tracking
 </li>
 <li>
 Training KPIs
 </li>
 </ul>
 <li>
 Create manpower forecasting and workforce allocation reports
 
 
 </li>
 </ul>
 
 Warehouse &amp; Supply Chain Analytics
 
 
 
 <ul>
 <li>
 Develop warehouse dashboards covering:
 </li>
 <ul>
 <li>
 Material movement
 </li>
 <li>
 Inventory aging
 </li>
 <li>
 Asset tracking
 </li>
 <li>
 Stock availability
 </li>
 <li>
 Material consumption
 </li>
 <li>
 GRN/PO tracking
 </li>
 <li>
 Slow-moving inventory
 </li>
 <li>
 Vendor performance
 
 </li>
 </ul>
 </ul>
 
 Data Engineering &amp; Integration
 
 
 
 <ul>
 <li>
 Connect multiple systems and databases including:
 </li>
 <ul>
 <li>
 ERP systems
 </li>
 <li>
 HR systems
 </li>
 <li>
 Excel-based operational files
 </li>
 <li>
 SQL databases
 </li>
 <li>
 APIs
 </li>
 <li>
 SharePoint
 </li>
 <li>
 Dynamics 365
 </li>
 </ul>
 <li>
 Build data models and ETL pipelines
 </li>
 <li>
 Ensure data quality, governance, and reporting accuracy
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 
 Mandatory
 
 
 
 <ul>
 <li>
 Advanced expertise in Microsoft Power BI
 </li>
 <li>
 Strong hands-on experience with Microsoft Fabric
 </li>
 <li>
 Strong knowledge of:
 </li>
 <ul>
 <li>
 DAX
 </li>
 <li>
 Power Query
 </li>
 <li>
 Data modeling
 </li>
 <li>
 Data warehousing concepts
 </li>
 <li>
 SQL
 </li>
 <li>
 ETL processes
 </li>
 </ul>
 <li>
 Experience building:
 </li>
 <ul>
 <li>
 Executive dashboards
 </li>
 <li>
 Financial dashboards
 </li>
 <li>
 PMO dashboards
 </li>
 <li>
 Real-time reporting systems
 </li>
 </ul>
 <li>
 Experience integrating multiple enterprise systems
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with:
 </li>
 <ul>
 <li>
 Dynamics 365
 </li>
 <li>
 Primavera P6
 </li>
 <li>
 Jira
 </li>
 <li>
 SAP
 </li>
 <li>
 Oracle ERP
 </li>
 <li>
 SharePoint
 </li>
 <li>
 Azure Data Services
 </li>
 </ul>
 <li>
 Knowledge of:
 </li>
 <ul>
 <li>
 KPI frameworks
 </li>
 <li>
 PMO governance
 </li>
 <li>
 Portfolio management
 </li>
 <li>
 Earned Value Management (EVM)
 </li>
 </ul>
 <li>
 Familiarity with telecom/civil/construction project environments
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in:
 </li>
 <ul>
 <li>
 Data Analytics
 </li>
 <li>
 Computer Science
 </li>
 <li>
 Information Systems
 </li>
 <li>
 Engineering
 </li>
 <li>
 Finance
 </li>
 <li>
 Business Analytics
 
 </li>
 </ul>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 5+ years in:
 </li>
 <ul>
 <li>
 Power BI development
 </li>
 <li>
 Enterprise analytics
 </li>
 <li>
 PMO reporting
 </li>
 <li>
 Financial dashboarding
 </li>
 <li>
 Performance management
 </li>
 </ul>
 <li>
 Experience handling enterprise-level reporting environments is mandatory
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to communicate with executives and operational teams
 </li>
 <li>
 Business acumen in finance and project operations
 </li>
 <li>
 Strong stakeholder management
 </li>
 <li>
 Ability to translate business requirements into dashboards and KPIs
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 Microsoft Certified: Power BI Data Analyst Associate
 </li>
 <li>
 Microsoft Fabric Analytics Engineer
 </li>
 <li>
 PMP or PMO-related certifications are a plus
 
 
 </li>
 </ul>
 
 Key Deliverables
 
 
 
 The successful candidate will be expected to:
 
 
 <ul>
 <li>
 Build a centralized live enterprise dashboard ecosystem
 </li>
 <li>
 Automate executive reporting
 </li>
 <li>
 Reduce manual reporting effort
 </li>
 <li>
 Improve visibility of company-wide performance
 </li>
 <li>
 Provide accurate real-time KPIs for management decision-making
 
 
 </li>
 </ul>
 
 Important Note for Candidates
 
 
 
 Candidates must provide:
 
 
 <ul>
 <li>
 Portfolio/sample dashboards
 </li>
 <li>
 Examples of enterprise reporting environments
 </li>
 <li>
 Experience with live data integration
 </li>
 <li>
 Demonstration of Power BI/Fabric capabilities during the interview process
 </li>
 </ul>
</div>

Performance Analyst

Jameson Legal

<div>
 
 
 Economics and Data Analyst
 
 
 
 We have an exciting opportunity with a global energy company for an Economics and Data Analyst to support our clients around their Competition law compliance and Merger control activity.
 
 
 
 
 
 
 Overview
 
 
 
 In this role, you will combine applied economic analysis, data management, and policy insight to further enhance the Company&rsquo;s ability to pro-actively identify, assess and mitigate competition law risks across its global operations.
 
 
 
 
 
 The Competition practice area is responsible for providing comprehensive and timely competition law advice to the Company and its global network of affiliates, with respect to a diverse range of commercial activities, operations and investments.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Plan, coordinate and oversee annual group-wide competition law compliance related data collection activities, including liaising with various business functions and affiliates.
 </li>
 <li>
 Refine, maintain and update relevant data sets utilized for various competition law compliance purposes, as well for related regulations.
 </li>
 <li>
 Coordinate with external economists as needed on matters related to data collection, data refinement, market share analysis and other matters requiring external economic advice.
 </li>
 <li>
 Undertake market scoping, preparation of market shares and analysis of competitive effects required for merger control filings, and as needed for other competition law compliance matters.
 </li>
 <li>
 Provide economic analysis in support of advice provided by the Competition practice area.
 </li>
 </ul>
 
 
 
 
 
 Experience and Skills
 
 
 <ul>
 <li>
 You must hold at least a Bachelor&rsquo;s degree preferred Economics.
 </li>
 <li>
 At Least 7 years&rsquo; professional experience in economics or econometrics, including experience providing economic advice in competition law contexts (e.g., consultancy, regulator or corporate strategy).
 </li>
 <li>
 You must have experience managing large datasets, including strong skills in data analytics and visualization tools.
 </li>
 <li>
 You must also have a close familiarity with competition economics concepts, and experience conducting market share analyses and analyzing competitive effects of market conduct.
 </li>
 <li>
 You will be able to demonstrate experience supporting or leading economic analysis workstreams on merger control matters, market investigations or dominance cases.
 </li>
 <li>
 You will be able to demonstrate your ability to work collaboratively within multi-disciplinary teams and your ability to present technical results to non-technical audiences clearly.
 </li>
 <li>
 You will also have a high analytical rigor, and a commitment to integrity and confidentiality.
 </li>
 <li>
 Experience with the energy and petrochemical industry is preferred.
 </li>
 </ul>
 
 
</div>

Economics and Data Anlayst

Almosafer

<div>
 
 
 About the Company:
 
 
 
 At Almosafer Travel &amp; Tourism Co, we&rsquo;re not just part of the travel industry, we&rsquo;re helping shape its future.
 
 
 As Saudi Arabia&rsquo;s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.
 
 
 Rooted in our name &ldquo;Almosafer,&rdquo; meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.
 
 
 
 
 
 We&rsquo;re united by a bold vision:
 
 
 To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.
 
 
 Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Analyst to join our Data Intelligence team and drive data projects to support our Finance team. In this role, you will work closely with the Business and Finance to identify opportunities for data-driven insights and deliver actionable recommendations.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Management &amp; Reporting:
 
 
 <ul>
 <li>
 Manage data across various platforms, including SAP HANA, ensuring accuracy, reliability, and timeliness.
 </li>
 <li>
 Prepare financial reports and dashboards, summarizing key financial metrics.
 </li>
 <li>
 These reports may include budget vs. actual analysis, profitability reports, and other relevant financial data.
 </li>
 </ul>
 
 
 Analytics &amp; Business Intelligence:
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to understand their data needs and provide insights.
 </li>
 <li>
 Leverage data to drive strategic business decisions, and design deploy appropriate analytical solutions.
 </li>
 <li>
 Query databases, conduct analyses, develop data models, and manage large data sets to generate actionable insights to key stakeholders.
 </li>
 </ul>
 
 
 Collaboration &amp; Communication:
 
 
 <ul>
 <li>
 Engage with both technical and non-technical stakeholders, presenting findings, and making recommendations tailored to the audiences understanding.
 </li>
 </ul>
 
 
 Optimize Data Workflows:
 
 
 <ul>
 <li>
 Work on improving existing data pipelines and workflows, ensuring data integrity, and efficient retrieval and processing.
 </li>
 <li>
 Create detailed documentation of analysis procedures, data pipelines, and report protocols to ensure continuity and ease of reference for current and future projects.
 </li>
 </ul>
 
 
 
 
 
 Profile Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science or a related field.
 </li>
 <li>
 Preferably 2+ years of experience in data engineering or analytics, with hands-on exposure to SAP HANA.
 </li>
 <li>
 Strong skills in SQL and familiarity with platforms like Hive and the AWS tech stack, including AWS Athena as well as Tableau desktop.
 </li>
 <li>
 Demonstrated understanding of finance principles and accounting practices.
 </li>
 <li>
 Understanding of business operations and the ability to translate complex data into actionable insights.
 </li>
 <li>
 Analytical mindset strong problem-solving skills with an attention to detail, and the capability to work both independently and collaboratively.
 </li>
 <li>
 Willingness to learn and adapt to new tools, platforms, and methodologies as the business and technological landscape evolves.
 </li>
 <li>
 Previous experience with SAP reporting and analytics will be a distinct advantage.
 </li>
 <li>
 Ability to present findings clearly and concisely to stakeholders at various levels within the organization.
 </li>
 <li>
 Fluent in English, and fluency in Arabic is an advantage.
 </li>
 </ul>
 
 
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way. Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.
 
 
 
 
 
 Here, you will find:
 
 
 A purpose-led workplace where your ideas can create real impact
 
 
 Ongoing learning and development to help you grow with intention
 
 
 Recognition that celebrates your wins, both big and small
 
 
 A community built on trust, curiosity, and shared momentum
 
 
 
 
 
 No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.
 
</div>

Specialist - Finance Data Intelligence

Bayut KSA - بيوت السعودية

<div>
 
 As the Senior Commercial Analyst in Wealth Management, you will be the strategic commercial partner responsible for driving research and informed decision-making within the wealth division. You will be involved in complex market research modelling, in-depth analysis across products and clients, and the management of budgeting and forecasting processes, all while focusing on key metrics such as Assets Under Management (AUM) and revenue generation. You will also be responsible for creating client proposals, pitch decks, and post-sales client analytics
 
 
 
 KEY RESPONSIBILITIES
 
 
 
 
 Market Research:
 
 
 <ul>
 <li>
 Keep analysing the real estate market to identify opportunity hotspots in the region.&nbsp;&nbsp;
 </li>
 <li>
 Read available secondary data/reports and present takeaways to the management.&nbsp;
 </li>
 <li>
 Periodically publish research reports.&nbsp;
 </li>
 <li>
 Perform on-demand global research on rules, regulations, tax laws, etc., for the target geographic markets.&nbsp;&nbsp;
 </li>
 </ul>
 
 
 Client Proposals and Pitch Deck Development:
 
 
 <ul>
 <li>
 Work closely with the Wealth Management team to do client need analysis and risk profiling.&nbsp;
 </li>
 <li>
 Design client proposals based on the client profile and the research done for the real estate sector
 </li>
 <li>
 Communicate with internal stakeholders for proposal deliberation. Once approved, develop the pitch deck for the client.&nbsp;
 </li>
 </ul>
 
 
 Reporting and Analysis:
 
 
 <ul>
 <li>
 Conduct in-depth analysis of and commercial performance metrics, including Assets Under Management (AUM) and revenue streams (e.g., advisory fees, transactional income, etc.).&nbsp;
 </li>
 <li>
 Develop management reports for wealth teams and related assets
 </li>
 </ul>
 
 
 Special Projects:
 
 
 <ul>
 <li>
 Work on special projects assigned by the line manager. These research and analysis projects may include, but are not limited to, areas related to commercial, regulatory, and financial matters
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in research, business administration, marketing, communications, or a relevant field
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 5-10 years of Research, Business Analysis &amp; Reporting
 </li>
 <li>
 Proven track record in making reports, feasibility and commercial documents
 </li>
 </ul>
 
 
 Knowledge
 
 
 <ul>
 <li>
 In-depth knowledge of research tools and techniques
 </li>
 <li>
 A deep understanding of the real estate market services/products
 </li>
 </ul>
 
 
 Skills
 
 
 <ul>
 <li>
 Outstanding communication and interpersonal skills
 </li>
 <li>
 An analytical mind with excellent data collection and analysis skills
 </li>
 <li>
 Excellent organisational and time management skills
 </li>
 <li>
 Strong team orientation, communication, &amp; creative skills
 </li>
 </ul>
 
 
 Traits
 
 
 <ul>
 <li>
 Adaptability
 </li>
 <li>
 High level of integrity
 </li>
 <li>
 Highly organised and detail-oriented.
 </li>
 <li>
 The ability to listen to and speak with clients, sales members, and other managers is essential for effective real estate sales managers
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 High-performing and fast-paced work environment
 </li>
 <li>
 Comprehensive Health Insurance
 </li>
 <li>
 Rewards and recognition
 </li>
 <li>
 Learning &amp; Development
 </li>
 </ul>
 
 #KSABayut
 
 
 Bayut is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
</div>

Senior Commercial Analyst

Explore 261+ Data analytics analyst in Riyadh this June. Find roles across top companies and apply now to boost your career.

261 data analytics analyst jobs In Riyadh

Data Analytics / Customer Intelligence Specialist

Data Analytics / Customer Intelligence Specialist

Data Quality Analyst

Performance Analyst

Economics and Data Anlayst

Specialist - Finance Data Intelligence

Senior Commercial Analyst