50 Analytics Lead jobs in Saudi Arabia

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.

Key Responsibilities:

1. Collect, clean, and analyze data from various sources to identify trends and patterns.
2. Develop and implement analytical models to evaluate business performance.
3. Create comprehensive reports and dashboards that summarize findings and insights for stakeholders.
4. Work closely with teams to determine data needs and provide analytical solutions.
5. Use statistical methods to derive insights and predict future trends.
6. Ensure the accuracy and integrity of data through rigorous validation and quality checks.
7. Communicate analytical results effectively to both technical and non-technical audiences.

Join us at Master-Works and leverage data analytics to make meaningful contributions that enhance our clients' success and drive our business forward.

Minimum Requirements:

1. Bachelor's degree in Data Science, Mathematics, Business Analytics, or a related field.
2. 2+ years of experience in data analysis or analytics.
3. Proficient in SQL and data visualization tools such as Tableau or Power BI.
4. Strong understanding of statistical analysis and experience with data modeling.
5. Excellent analytical and problem-solving skills.
6. Strong communication skills, with the ability to explain complex data concepts to diverse audiences.
7. A detail-oriented professional with a passion for data-driven decision making.

About Alrajhi Takaful:

Al Rajhi Takaful is fully committed to providing you with first class, Shariah compliant solutions that are fully aligned to the Kingdom's 2030 Vision. We aim to protect all our customers, and fulfil their dreams, hopes and ambitions. All our policies provide customers with state-of-the art solutions and come with the support of a team of dedicated, professional and experienced insurance industry.

The Job Title:

Data Analytics & Budgeting Lead

Job Description:

To lead and manage data analytics and budgeting functions across the organization by providing strategic insights, accurate forecasting, and actionable reports that drive informed decision-making. This role ensures the integration of advanced data analysis techniques and robust financial planning to support business growth, operational efficiency, and alignment with ART objectives.

Key Responsibilities:

• Lead the development and execution of data-driven marketing analytics strategies to evaluate the performance and impact of marketing campaigns and initiatives.
• Manage the full marketing budgeting cycle, including budget allocation, forecasting, tracking actual spending, and analyzing variances.
• Oversee the creation and automation of marketing dashboards and performance reports (e.g., ROI, conversion, reach) to support strategic marketing decisions.
• Collaborate closely with finance and product teams to ensure budget alignment with marketing goals and business priorities.
• Analyze campaign performance data to determine success metrics, identify optimization opportunities, and provide actionable recommendations.
• Monitor key marketing KPIs and develop models to measure customer acquisition, engagement, retention, and overall marketing effectiveness.
• Lead efforts in marketing data governance, ensuring compliance with data privacy regulations and ART
  standards.
• Coach and mentor junior analysts on marketing analytics tools, techniques, and budget planning best practices.

Qualifications:

• Bachelor's degree
• 5-7 Years in relevant field.

This is a full-time (Saudi only) on-site role for an Audit Data Analytics - Fresh Accounting Graduate Associate located in Riyadh.

The Audit Data Analytics Associate is expected to have an understanding of:

• Accounting
• Auditing
• Data Analytics procedures used in Accounting and Auditing
• Experience with Microsoft Excel and Microsoft PowerBI

The candidate should have a good understanding of ethics, independence and professional skepticism which are critical in the performance of financial statement audits.

The candidate will be part of a Specialist dedicated client-facing team that will execute Advanced Data Analytics projects on External Audit clients covering the general ledger and sub-ledger data bases. The candidate is expected to work closely with the External Audit team and the D&A engineering team in facilitating the delivery of data analytics projects. The candidate should have good analytical skills to prepare reports covering completeness & accuracy of data, unusual / un-expected trends, events, transactions and conditions that enable KPMG to perform a data-enabled, risk-focused and exceptions-based audit, instead of a traditional samples-based audit.

Qualifications

• Bachelor's degree in Accounting.
• Eligibility for professional certification (CPA or SOCPA) is required.
• Strong Analytical Skills and Finance knowledge
• Excellent attention to detail and accuracy
• Strong communication and teamwork skills

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)

About the Company

Bayan is committed to leveraging data-driven insights to enhance business strategies and deliver value across various sectors.

About the Role

The role involves managing and overseeing the delivery of financial due diligence reports and developing financial and credit risk models.

Responsibilities

• Manage and oversee the delivery of financial due diligence reports.
• Develop and maintain financial and credit risk models (both Excel and otherwise).
• Manage and oversee the delivery of various financial and credit risk scoring services and solutions.
• Implement and manage various frameworks including Data Quality, Data Management, Data Governance, etc.
• Ensure optimal monetization of Bayan's data assets through data-driven analytical insights, solutions, products, services together with supporting other departments with their internal data requirements.
• Ensure Bayan's data assets are reasonably accurate, up-to-date, available, and secure.
• Oversee the collection, management, and storage of data across an organization.
• Responsible for analyzing and deriving insights from data to inform business strategy and value.

Qualifications

Bachelor's degree in business, finance, IT or related fields

Required Skills

• Financial and credit risk analysis.
• Credit and financial risk modelling.
• Data analytics, data visualization, data management, data governance, data quality, data operations, data privacy, business intelligence, etc.
• Credit rating and scoring models.
• Data modelling.
• Communication.
• Problem-solving.
• Excellent verbal and written communication.
• Proactive.
• Multi-tasking.
• Analytically minded.
• People and project management skills.

Preferred Skills

Finance or Business together with exposure to data analytics & data management

Pay range and compensation package

We Offer Competitive Package, and Benefits.

Equal Opportunity Statement

Bayan is committed to diversity and inclusivity in the workplace.

ROLE MAIN PURPOSE
Will be responsible to provide operational expertise to execute and implement the collection, analysis, and presentation of data related to IT operations, projects, and initiatives and working closely with IT teams to gather requirements, design reporting solutions, and provide valuable insights to support strategic decision-making.

Functional Responsibilities

• Support to Conduct the analysis of IT-related data to identify trends, patterns, and insights.
• Utilize data analytics tools and techniques to analyse complex datasets.
• Maintain data visualizations, dashboards, and reports that effectively communicate key IT metrics and performance indicators.
• Apply statistical analysis and data modelling to support decision-making.
• Collaborate with IT teams and business stakeholders to understand reporting needs and requirements.
• Implement a comprehensive reporting framework for IT-related metrics and performance indicators.
• Maintain standardized reporting templates, formats, and schedules.
• Support to automate reporting processes to improve efficiency and ensure timely delivery of reports.
• Ensure the accuracy and integrity of the data used for reporting.
• Assist in Track key performance indicators (KPIs) and metrics to assess IT performance and effectiveness.
• Analyse IT service levels, system availability, incident response, and other performance indicators.
• Identify areas of improvement and propose recommendations to optimize IT operations and processes.
• Collaborate with IT teams to establish performance targets and monitor progress towards achieving them.
• Provide insights and recommendations based on data analysis to support IT decision-making.
• Support in establish data governance policies, standards, and procedures for IT-related data.
• Ensure compliance with data privacy regulations and industry best practices.
• Collaborate with IT teams to implement data quality controls, data cleansing, and data integration processes.
• Oversee data management activities, including data integration, data warehousing, and metadata management

Educational Qualifications
A Bachelor's in Computer Science, Information Technology or a related field.

Professional And Technical Certificates
ITIL (Information Technology Infrastructure Library), Certified Data Management Professional (CDMP), BI certifications, PMP are preferable.

Professional Experience
Minimum 5+ years' experience as IT data and analysis.

Computer Skills

• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook), as these are commonly used tools in business operations.
• Knowledge with statistical analysis software packages like SPSS, SAS, or Stata to perform advanced statistical analysis, hypothesis testing, and predictive modelling.
• Knowledge in data visualization tools such as Tableau, Power BI, or QlikView to create interactive and visually appealing dashboards and reports for data analysis and presentation.
• Knowledge of DBMS platforms like Oracle, MySQL, or Microsoft SQL Server for effective data storage, retrieval, and management. Understanding of database querying languages like SQL is crucial for data analysis.
• Familiarity with data warehousing concepts and technologies like ETL (Extract, Transform, Load) processes, data integration, and dimensional modelling. This skill enables the design and management of data repositories optimized for analysis.
• Knowledge of cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Understanding how to leverage cloud-based infrastructure and services for data analysis enhances scalability and flexibility.

Date Opened

10/16/2025

Job Type

Full time

Job Opening Status

In-progress

Work Experience

1-3 years

Industry

Technology

City

Riyadh

State/Province

Riyadh

Country

Saudi Arabia

Zip/Postal Code

11564

Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.

Job Summary:

We are seeking a motivated Saudi National Data Analytics Engineer with 2–3 years of experience in data analysis, transformation, and reporting. The ideal candidate will play a key role in collecting, cleaning, and preparing data for business insights, supporting analytics and reporting needs across the organization. This role is ideal for candidates who have a passion for data, strong technical skills, and a desire to grow in analytics and data engineering.

Key Responsibilities:

• Collect, clean, and process data from multiple sources to ensure data accuracy and reliability.
• Design and develop data pipelines and workflows to automate data ingestion and transformation.
• Support the development of dashboards and reports using Power BI or similar visualization tools.
• Collaborate with business teams to understand analytical requirements and translate them into data solutions.
• Work closely with IT and BI teams to optimize data storage, models, and queries.
• Assist in maintaining and improving data warehouses or data lakes.
• Ensure compliance with data governance, security, and quality standards.
• Troubleshoot data issues and support regular updates or refreshes of analytical datasets.
• Document data processes, workflows, and technical specifications.
• Stay current with emerging data engineering and analytics tools and best practices.

Skills Required:

• 2–3 years of experience in data analytics or data engineering.
• Proficiency in SQL and data querying.
• Hands-on experience with Power BI, Excel, or similar BI tools.
• Understanding of ETL concepts and data integration.
• Familiarity with Python or R for data analysis is an advantage.
• Knowledge of data modeling, data warehousing, and database concepts.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and data accuracy.
• Good communication and teamwork skills.
• Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related field.

Job Purpose

Responsible for designing, developing, and maintaining data analytics solutions that support business decision-making. The role involves creating efficient data models, building insightful dashboards, and ensuring data integrity using
Power BI
and related technologies.

Key Responsibilities

• Develop and maintain
  Power BI dashboards
  and reports tailored to business needs.
• Build scalable
  data pipelines
  to collect, clean, and transform data from multiple internal and external sources.
• Collaborate with business teams to understand analytical requirements and convert them into technical specifications.
• Ensure high levels of
  data accuracy, consistency, and quality
  across systems.
• Develop
  data models
  , relationships, and measures using DAX and Power Query.
• Optimize dashboard performance and data refresh processes.
• Support
  ad-hoc analysis
  and provide actionable insights for business improvement.
• Implement and follow best practices for
  data governance, security, and documentation
  .
• Stay updated with new Power BI and analytics features and recommend improvements.

Qualifications & Experience

• Bachelor's degree in
  Computer Science, Data Science, Information Systems
  , or a related field.
• 2+ years
  of experience in data analytics, BI, or data engineering roles.
• Proven experience with
  Power BI
  (including DAX, Power Query, and data modeling).
• Strong proficiency in
  SQL
  and relational databases.
• Hands-on experience with
  ETL/ELT tools
  and data pipeline development.
• Familiarity with
  data warehousing concepts
  and reporting automation.
• Exposure to
  Python
  or
  R
  for data analysis is an advantage.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong communication and presentation skills for delivering insights to non-technical stakeholders.

Preferred Skills

• Knowledge of
  Azure Data Services
  or other cloud platforms.
• Experience integrating data from
  ERP, CRM, or SharePoint
  systems.
• Understanding of
  data governance frameworks
  and
  metadata management
  .
• Experience working in
  public sector
  or
  enterprise analytics environments
  is a plus.

Please Note: Only candidates
currently residing in Saudi Arabia
will be considered for this position.

Data Analytics Manager (Manufacturing & Business Intelligence)

We're Hiring at ALIF Industrial Company

Are you passionate about transforming complex data into real business impact?

Do you thrive in an environment where your insights directly shape production, cost efficiency, and strategic decisions?

ALIF Industrial Company, a leading Saudi manufacturer of fasteners, wire products, and building materials, is seeking a Data Analytics Manager (Manufacturing & Business Intelligence) to join our growing team in Jeddah, KSA.

In this role, you'll:

Build and lead the company's data-analytics ecosystem — from Epicor ERP to Power BI dashboards.

Integrate data across production, costing, logistics, and finance to support smarter, faster decisions.

Develop and automate KPI dashboards for factory performance, material yield, and profitability.

Partner with the CEO to bring data-driven visibility to every part of ALIF's operations.

What We're Looking For:

6–10 years' experience in data analytics or BI, preferably in manufacturing or industrial environments

Strong command of SQL, Power BI, Python/R, and Excel

Experience with ERP systems (Epicor preferred)

Ability to translate data into actionable insights that drive measurable results

If you are a hands-on, detail-oriented analyst ready to lead the data transformation of a fast-growing Saudi industrial group, we'd love to meet you.

Location: Jeddah, Saudi Arabia

Title: Data Analytics Manager / Senior Data Analyst

Apply by sending your CV to: (Insert ALIF HR email or HR contact link)

Let's build the future of industrial intelligence — together.