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193 Data Analysis jobs in Saudi Arabia

Data Analysis Specialist

SAR120000 - SAR240000 Y Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

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Job Description

Job Purpose - الغرض من الوظيفة

The Data Analyst will play a key role in improving the quality of patient safety data at the Saudi Patient Safety Center (SPSC). By applying advanced statistical and analytical methods, the analyst will generate evidence-based reports, develop national patient safety KPIs, and support decision-making at both national and international levels - سيساهم محلل البيانات بدور محوري في تحسين جودة بيانات سلامة المرضى في المركز السعودي لسلامة المرضى ومن خلال تطبيق الأساليب الإحصائية والتحليلية المتقدمة، سيقوم المحلل بإعداد تقارير قائمة على الأدلة، وتطوير مؤشرات أداء وطنية لسلامة المرضى، ودعم عملية اتخاذ القرار على المستويين الوطني والدولي. ويسهم هذا الدور بشكل مباشر في تعزيز مكانة المركز كجهة وطنية رائدة ذات شراكات دولية ومعترف بها من قبل منظمة الصحة العالمية (WHO).

Responsibilities - المسؤوليات

  • Collect, clean, analyze, and present findings of healthcare data using advanced statistical tools and methods - جمع البيانات الصحية وتنظيفها وتحليلها وعرض نتائجها باستخدام أدوات وأساليب إحصائية متقدمة.
  • Prepare reports highlighting trends, risks, and recommendations for performance improvement - إعداد تقارير تسلط الضوء على الاتجاهات والمخاطر والتوصيات اللازمة لتحسين الأداء.
  • Collaborate with clinical teams to interpret findings and implement evidence-based improvements - التعاون مع الفرق السريرية لتفسير النتائج وتطبيق التحسينات المبنية على الأدلة.
  • Support research studies and national/international projects related to patient safety - دعم الدراسات البحثية والمشاريع الوطنية والدولية ذات الصلة بسلامة المرضى.
  • Develop, monitor, and evaluate patient safety Key Performance Indicators (KPIs) - تطوير ومتابعة وتقييم مؤشرات الأداء الرئيسة (KPIs) الخاصة بسلامة المرضى.
  • Ensure accuracy, integrity, and quality assurance of data before reporting - ضمان دقة ونزاهة البيانات وجودتها قبل نشرها أو الإبلاغ عنها.
  • Contribute to strengthening SPSC's international reporting and benchmarking in line with WHO standards - الإسهام في تعزيز التقارير الدولية والمقارنات المرجعية للمركز بما يتماشى مع معايير منظمة الصحة العالمية.
  • Create dashboards and visualization tools (Power BI/Tableau) to facilitate decision-making in patient safety - إنشاء لوحات متابعة وأدوات عرض بيانية (Power BI/Tableau) لدعم عملية اتخاذ القرار في مجال سلامة المرضى.

Requirement and Qualifications - المتطلبات والمؤهلات

  • Bachelor or Master's degree in Biostatistics, Epidemiology, Health Data Science, or a related field - درجة الباكلوريوس او الماجستير في الإحصاء الحيوي، علم الأوبئة، علوم بيانات الصحة، أو مجال ذي صلة.
  • Minimum of 4 years' experience in biostatistics or healthcare data analysis, Experience in patient safety data domains is preferred.
  • Patient Safety certification - شهادة في سلامة المرضى.
  • Certified Professional in Healthcare Quality (CPHQ) - أخصائي معتمد في جودة الرعاية الصحية
  • Machine Learning specialization - تخصص في التعلم الآلي.
  • Lean Six Sigma Green/Black Belt - لين سقما
  • Certified Health Data Analyst (CHDA) - محلل بيانات صحية معتمدة

Skills - المهارات

Technical Skills:

  • Proficiency in statistical software and tools such as SAS, R, SPSS, Power BI, or Python - إجادة استخدام البرمجيات والأدوات الإحصائية مثل SAS، R، SPSS، Power BI أو Python.
  • Strong SQL and data querying from relational databases or cloud-based environments - إتقان SQL واستخراج البيانات من قواعد البيانات العلائقية أو البيئات السحابية.
  • Advanced analytical and problem-solving skills, with ability to extract meaningful insights - مهارات تحليلية متقدمة وحل المشكلات مع القدرة على استنتاج رؤى ذات مغزى.
  • Strong reporting skills with ability to communicate complex findings clearly - مهارات قوية في إعداد التقارير وعرض النتائج المعقدة بشكل واضح.
  • Ensure data accuracy, quality, and security in compliance with internal policies and data governance standards - ضمان دقة وجودة وأمن البيانات بما يتماشى مع السياسات الداخلية ومعايير حوكمة البيانات.
  • Cross-functional Collaboration - القدرة على التعاون الفعال مع فرق متعددة التخصصات.

Soft Skills:

  • Strong communication and data presentation abilities for clinical and non-clinical audiences - قدرات تواصل متميزة وعرض البيانات بطريقة مناسبة للجمهور السريري وغير السريري.
  • High attention to detail and accuracy in data work - دقة عالية واهتمام بالتفاصيل في العمل مع البيانات.
  • Ability to collaborate effectively in multidisciplinary teams - القدرة على التعاون والعمل الجماعي بفعالية.
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Data Analysis Specialist

SAR80000 - SAR120000 Y Takamol Holding

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Job Description

  • Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.
  • Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.
  • Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.
  • Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.
  • Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.
  • Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.
  • Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).

Job Requirements

  • A degree in computer science, data science or any other relevant field. A master's is a plus
  • 4 years of experience in relevant fields
  • Data Engineering & Querying: Strong proficiency in SQL
  • Visualization & Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.
  • Data Wrangling: Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.
  • Cloud & Analytics Tools: Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.
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Data Reporting Analyst

SAR90000 - SAR120000 Y Brance Global

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Company Description

Brance Global, established in Austin, Texas, is a dynamic recruiting agency specializing in finance, accounting, tax, and technology roles. We are dedicated to connecting top-tier talent with exceptional opportunities nationwide. Our commitment to excellence makes us a trusted partner for companies looking to fill vital roles in these specialized domains. We pride ourselves on a personalized approach to recruitment and have established a strong presence in metropolises such as New York and Texas.

Role Description

This is a full-time on-site role for a Data Reporting Analyst, located in the Riyadh Region. The Data Reporting Analyst will be responsible for analyzing data, managing data sets, generating reports, and providing insights to support decision-making. Daily tasks include data analytics, data management, preparing visualizations, and effectively communicating findings to stakeholders.

Qualifications

  • Strong Analytical Skills and expertise in Data Analysis
  • Proficiency in Data Analytics and Data Management
  • Excellent Communication skills
  • Ability to prepare clear and comprehensive reports
  • Relevant experience in a similar role is a plus
  • Bachelor's degree in Data Science, Statistics, or a related field
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Loyalty Data Analytics and Reporting Specialist

Riyadh, Riyadh Michael Page

Posted 12 days ago

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Job Description

Loyalty Data Analytics and Reporting Specialist

Working for this leading telecommunications operator in Riyadh, Saudi Arabia, your primary responsibilities will be to:

-Analyze consumer and usage data to gain insights into consumer behaviour and to provide recommendations on how to successfully manage the company’s loyalty programs
-Prepare reports for various stakeholders such as program managers and business unit managers to evaluate the impact of the loyalty programs
-Support the development, data extraction and reporting for promotional campaigns and offers
-Conduct data mining such as customer tiering and campaign targeting
-Monitor partner performance indicators and feedback reports
-Support the preparation of the loyalty program budget
-Oversee data quality and make recommendations on how to improve data collection and management

-Must have a minimum of 5 years experience in data-analysis and CRM
-Experience in the telecommunications and loyalty sector is a great advantage
-Must have experience in data mining tools
-Must hold a Bachelor’s degree in Engineering, Mathematics, Statistics or Computer Science
-Must have impeccable analytical skills

About The Company

Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world.

The Group has operations in the UK, Continental Europe, Asia-Pacific and the Americas. In the Middle East we focus on the areas of:

Finance & Accounting
Banking & Financial Services
Procurement
Property & Construction
Engineering & Supply Chain
Oil & Gas Technical and Engineering
Human Resources
Sales
Marketing
Technology
Secretarial
Executive Search
Legal

The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.

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Manager, EH&B Data Analytics & Reporting, Marsh Arabia

Marsh & McLennan

Posted 9 days ago

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Job Description

workfromhome

Overview

We are seeking a talented individual to join our Analytics & Advisory team at Marsh. This role will be based in Riyadh. This is a hybrid role that requires working at least three days a week in the office.

Responsibilities

We will count on you to:

  • Manage basic actuarial and quantitative analysis projects, guiding junior staff and collaborating on complex projects.
  • Deliver regular claims analysis reports in line with cyclical commitments, often under tight deadlines.
  • Present final reports and propose solutions to clients, incorporating input from senior staff.
  • Conduct peer reviews of junior staff analyses to ensure adherence to established standards and quality control.
  • Perform data analysis on complex projects using Excel or PowerBI, customizing models based on client needs and regulations.
  • Develop intellectual capital by researching regulatory requirements and updating modeling templates to enhance company offerings.
What you need to have:
  • A strong background in actuarial science, quantitative analysis, or a related field.
  • Proficiency in Excel and PowerBI, with experience in data analysis and modeling.
  • Excellent communication skills for client engagement and presentation of findings.
What makes you stand out?
  • Experience in the Employee Health & Benefits (EH&B) sector or similar analytics and advisory services.
  • Familiarity with industry benchmarking and regulatory requirements.
  • A proactive approach to identifying business growth opportunities and networking within the industry.
Why join our team:
  • We help you be your best through professional development opportunities, interesting work, and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients, and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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Manager, EH&B Data Analytics & Reporting, Marsh Arabia

Mercer

Posted 10 days ago

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Job Description

workfromhome

We are seeking a talented individual to join our Analytics & Advisory team at Marsh. This role will be based in Riyadh. This is a hybrid role that requires working at least three days a week in the office.

In this position, you will manage actuarial and quantitative analysis projects, collaborating with both junior and senior staff to model and forecast risk and financial impact. You will play a key role in delivering regular claims analysis reports and presenting findings to clients, ensuring high-quality standards throughout the process.

We will count on you to:

  • Manage basic actuarial and quantitative analysis projects, guiding junior staff and collaborating on complex projects.
  • Deliver regular claims analysis reports in line with cyclical commitments, often under tight deadlines.
  • Present final reports and propose solutions to clients, incorporating input from senior staff.
  • Conduct peer reviews of junior staff analyses to ensure adherence to established standards and quality control.
  • Perform data analysis on complex projects using Excel or PowerBI, customizing models based on client needs and regulations.
  • Develop intellectual capital by researching regulatory requirements and updating modeling templates to enhance company offerings.

What you need to have:

  • A strong background in actuarial science, quantitative analysis, or a related field.
  • Proficiency in Excel and PowerBI, with experience in data analysis and modeling.
  • Excellent communication skills for client engagement and presentation of findings.

What makes you stand out?

  • Experience in the Employee Health & Benefits (EH&B) sector or similar analytics and advisory services.
  • Familiarity with industry benchmarking and regulatory requirements.
  • A proactive approach to identifying business growth opportunities and networking within the industry.

Why join our team:

  • We help you be your best through professional development opportunities, interesting work, and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients, and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.

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Data Analytics

Riyadh, Riyadh Master Works

Posted 17 days ago

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Job Description

Overview

Master-Works is seeking a forward-thinking Data Analytics professional to join our talented team. In this role, you will be responsible for analyzing complex data sets to uncover valuable insights that drive business strategies and operational improvements. Your expertise in data analysis will play a vital role in enhancing our data-driven culture and informing decision-making processes across the organization.


Responsibilities

  • Collect, clean, and analyze data from various sources to identify trends and patterns

  • Develop and implement analytical models to evaluate business performance

  • Create comprehensive reports and dashboards that summarize findings and insights for stakeholders

  • Work closely with teams to determine data needs and provide analytical solutions

  • Use statistical methods to derive insights and predict future trends

  • Ensure the accuracy and integrity of data through rigorous validation and quality checks

  • Communicate analytical results effectively to both technical and non-technical audiences


Qualifications

  • Bachelor's degree in Data Science, Mathematics, Business Analytics, or a related field

  • 2+ years of experience in data analysis or analytics

  • Proficient in SQL and data visualization tools such as Tableau or Power BI

  • Strong understanding of statistical analysis and experience with data modeling

  • Excellent analytical and problem-solving skills

  • Strong communication skills, with the ability to explain complex data concepts to diverse audiences

  • A detail-oriented professional with a passion for data-driven decision making

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Data Analytics

SAR80000 - SAR120000 Y confidential

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Job Description

We are looking for professionals with practical experience in data analytics, business intelligence, or data visualization, ideal candidates with hands-on exposure to data visualization tools and strong understanding of data preparation, modeling, and reporting best practices.

Key Responsibilities:

  • Collect, analyze, and interpret large datasets to uncover trends and opportunities.
  • Develop interactive dashboards and reports using leading visualization tools (Power BI, Tableau, or similar).
  • Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
  • Present insights in a clear, engaging, and actionable manner for both technical and non-technical stakeholders.
  • Ensure data accuracy, integrity, and consistency across all analytics and reporting outputs.

Qualifications and Certification :

  • Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related field.
  • Proficiency in SQL and data visualization platforms (Power BI, Tableau, Qlik, etc.).
  • Professional certifications in data analysis and data visualization is preferred
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Data Analytics

SAR60000 - SAR80000 Y KPMG Saudi Arabia

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Job Description

We are looking for motivated graduates to join our Audit Ai & Analytics team. This role offers hands-on experience in working with large financial datasets from ERP systems, applying analytical techniques to support audits, and developing automation solutions. You will gain exposure to reconciliation testing, three-way match analytics, dashboard building, and process automation, with training and mentorship provided.

Key Responsibilities:

  • Preparing and cleansing client financial datasets (general ledger, sub-ledger, trial balances, journal entries).
  • Support the design and execution of completeness, accuracy, and reconciliation testing (e.g., GL-to-subledger reconciliations, intercompany reconciliations).
  • Perform match / relationship checks and exception analysis on big data.
  • Build visual dashboards in Power BI to highlight key insights.
  • Leverage SQL and ETL techniques to extract and transfom unstructed data into schemas.
  • Automate repetitive tasks using VBA, Python, and Power Automate.
  • Explore the use of OCR tools to extract structured data from invoices, receipts, and contracts.
  • Collaborate with audit teams to understand business processes and apply analytical solutions.
  • Document processes, data models, and learnings to contribute to team knowledge sharing.

Candidate Profile Education & Certification:

  • Bachelor's degree in Computer Science
  • Engineering, Data Analytics, Al or related field.

Key Attributes:

  • Strong skills in Microsft Power Platform viz. PowerQuery, PowerApps, Power BI, Power Automate
  • Experience with ETL tools (PowerQuery, Alteryx, Tableu, SQL).
  • Knowledge of Excel (advanced formulas, analytics, data preparation, pivot tables, Power Pivot).
  • Familiarity with audit procedures and financial data structures (GL, TB, sub-ledgers). (optional)
  • Strong problem-solving, attention to detail, and communication skills.
  • Knowledge of promgramming / analysis languages (SQL, Python, Power FX, Dax)
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Data Analytics

SAR40000 - SAR60000 Y Bupa

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Job Description

Role Purpose:

Support the Data & Analytics team by assisting in the preparation, analysis, and reporting of key datasets, dashboards, and projects. The trainee will gain hands-on experience in data analytics, reporting, and business insights while working with different departments.

Key Accountabilities:

1- Reporting & Analytics:

  • Assist in preparing and maintaining periodic data reports and dashboards related to business performance, claims, and operational metrics.
  • Support in cleaning, validating, and analyzing large datasets to ensure accuracy for regulatory and internal reporting.
  • Contribute to preparing analytical reports for quarterly reviews, audits, and management updates.

2- Project:

  • Participate in ongoing data analytics projects, including automation of reporting processes and visualization improvements.
  • Attend project meetings and follow up on assigned data-related tasks and pending actions.
  • Support in developing insights from data to improve decision-making.

3- Adhoc Analysis:

  • Assist in preparing presentations, visualizations, and summaries for management using data-driven insights.
  • Support ad-hoc analytical requests from Risk, Finance, and other business units.
Skills
  • Strong quantitative and analytical skills.
  • Knowledge of data analytics concepts, descriptive and predictive analysis.
  • Proficiency in Excel (intermediate to advanced).
  • Exposure to data visualization tools (Power BI, Tableau, etc.) is a plus.
  • Basic understanding of SQL, Python, or R for data analysis is preferred.
  • High English language proficiency and strong communication skills.
Education

Data Analytics, Statistics, Mathematics, Finance, Computer Science, or related fields

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