56 Analytics Intern jobs in Saudi Arabia

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.

We are looking for IBM Analytics & AI Specialist based in Riyadh, KSA for one of our direct client.

Role Overview

We are looking for an IBM Analytics & AI Specialist to lead the implementation of IBM's suite of tools (Cognos, Watson, Planning & Control) for advanced analytics, reporting, and AI-driven decision-making. The candidate will bridge data science models with IBM enterprise tools, ensuring seamless integration for business insights and planning.

Key Responsibilities

Design, implement, and maintain IBM Cognos Analytics dashboards and reports.

Integrate machine learning and AI models into IBM Cognos for forecasting and predictive insights.

Configure and deploy IBM Planning & Control solutions to support data-driven business strategies.

Work with IBM Watson X to develop AI-powered solutions for NLP, anomaly detection, and forecasting.

Collaborate with Python/ML developers to operationalize AI/ML models within IBM environments.

Support ETL processes and integration of big data sources into IBM tools.

Provide technical expertise, training, and support to internal stakeholders and clients.

Required Skills & Qualifications

Hands-on experience with IBM Cognos Analytics (dashboarding, reporting, data visualization).

Familiarity with IBM Planning & Control for business planning and decision support.

Exposure to IBM Watson X and its AI/ML capabilities.

Solid foundation in machine learning concepts and Python-based AI frameworks (preferred).

Experience with ETL pipelines and big data tools (Spark, Hadoop) is a plus.

Strong problem-solving and communication skills, with the ability to translate technical insights into business value.

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)

Role Purpose:

This role focuses on enhancing organizational effectiveness by aligning workforce planning, organizational design, job evaluation, and HR budgeting with the company's strategic goals. Additionally, the role requires expertise in managing the offer release process, ensuring alignment with salary structures, internal equity, and candidate profile assessment. The ideal candidate will possess a strong background in human resources management, with a focus on planning, development initiatives, and compensation strategies that drive long-term organizational success.

Key Accountabilities:

1-Workforce Planning and Organizational Development:

• Analyze current workforce demographics, identify gaps, and forecast future needs to ensure the organization has the talent required to meet business goals.
• Collaborate with business units to develop workforce strategies that align with short- and long-term organizational objectives.
• Facilitate organizational design initiatives that enhance business efficiency, streamline processes, and support company growth.
• Provide recommendations on change management and organizational restructuring to support evolving business needs.

2-Job Evaluation, Job Design, and Descriptions:

• Lead the development and maintenance of job descriptions across the organization, ensuring accuracy and alignment with business objectives.
• Conduct job evaluations to assess the relative value of each position and ensure consistent application of salary structures.
• Collaborate with department heads to design roles that meet operational requirements and foster employee engagement.
• Ensure that all job descriptions are legally compliant and updated to reflect evolving duties and responsibilities.

3-Offer Management and Compensation Analysis:

• Manage the offer release process by assessing candidate profiles, evaluating their qualifications, and determining appropriate compensation packages.
• Ensure alignment with the company's salary structure and internal equity policies while maintaining market competitiveness.
• Collaborate with hiring managers and HR partners to assess candidates against internal benchmarks and job levels, ensuring offers reflect internal parity.

4-HR Budgeting and Reporting:

• Partner with finance and HR leadership to develop, monitor, and manage the HR budget, ensuring alignment with organizational priorities.
• Analyze and report on HR metrics to provide data-driven insights for leadership.
• Prepare forecasts and financial projections for workforce planning initiatives to inform decision-making.

5-Strategic HR Projects:

• Contribute to the design and execution of strategic HR projects, such as talent management, succession planning, and diversity initiatives.
• Provide consultation to senior management on HR trends and best practices that could impact long-term strategic goals.
• Perform other strategic tasks as assigned by HR leadership to support organizational development and business growth.

• Experience in workforce planning, job evaluation, organizational development, and compensation management.
• Excellent written and verbal communication skills, with the ability to influence stakeholders at all levels of an organization.
• Proficiency in HR systems, budgeting exercises, and data reporting and visualization.

Databorn is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas, and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth.

With offices in the UAE and Kazakhstan, Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning, Databorn has the knowledge and skills to help you achieve your goals.

Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG).

• Dedicated mentor
• Databorn and Partner vendor's training and certification opportunities
• Annual performance bonuses
• Annual performance review process
• Projects with the latest technologies and methodologies

As a Senior Analytics Specialist, you'll be an integral part of our international team, collaborating with skilled professionals dedicated to designing and implementing advanced analytics solutions. You'll lead analytics projects, focusing on data warehousing solutions, and harness your expertise in Greenplum, Teradata/Oracle, Spark, and Hadoop to drive actionable insights for our clients in the banking sector.

• Lead analytics projects with a focus on data warehousing solutions
• Manage a team of professionals to ensure successful project delivery
• Utilize advanced analytics and big data to drive digital transformations
• Stay updated with industry trends and developments

Required

• Previous experience in analytics and data management
• Experience working with or in the banking industry
• Expertise in one or more of the major DWH solutions: Teradata, Oracle, Greenplum
• Expertise in Hadoop and Spark
• Experience in team management, preferably leading teams of 5-10 individuals
• Strong communication and negotiation skills
• Strong organizational and time management skills
• Proven track record of success in analytics and achieving targets
• Willingness to relocate to Riyadh, Saudi Arabia
• Proficiency in English
• Experience working with enterprise customers in the IT consulting industry
• PMP or similar certification
• Proficiency in Arabic

We offer a competitive salary and commission package, as well as opportunities for growth and advancement within the company. If you are a motivated and experienced sales professional, we would like to hear from you.

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.

The Learning Analytics Specialist plays a key role in enabling data-driven decision-making across all Waad Education Company schools. The role involves managing learning data, supporting evidence-based planning, and ensuring alignment with standards for school improvement.

Key Responsibilities

A. Data Collection & Management

• Lead the collection, validation, and academic, behavioral, and engagement data across all schools.
• Maintain a centralized data system to ensure data accuracy, accessibility, and compliance with school improvement and accreditation standards.
• Collaborate with school staff to build data fluency and standardize data entry procedures.

B. Data Analysis & Interpretation

• Analyze student performance and engagement data to identify learning gaps, growth patterns, and intervention opportunities.
• Disaggregate data by school, grade, subject, student subgroup, and teacher to enable targeted planning and professional development.

C. Reporting & Visualization

• Develop role-specific reporting templates (for principals, academic leads, subject coordinators) to ensure consistent interpretation and use of data across schools.
• Create user-friendly dashboards and visual reports that support learning decisions, operational KPIs, and board-level updates.
• Ensure reports align with regulatory and accreditation metrics (e.g., MOE, NEASC).

D. Predictive Analytics & Student Support

• Create early warning systems to identify students at academic or behavioral risk and enable timely interventions.
• Use predictive models and historical data to support long-term planning (e.g., student retention, subject difficulty, performance bottlenecks).
• Collaborate with student support teams to link data insights to personalized learning and well-being strategies.

E. Strategic Decision Support & Planning

• Provide the CLO and Heads of School with data insights to support planning, goal-setting, and OKR alignment.
• Support the design and evaluation of pilot programs or interventions by tracking impact data and making evidence-based recommendations.
• Partner with the Head of Skills, Head of Academics, and School Leaders to evaluate program effectiveness (e.g., enrichment programs, new curricula).

F. Capacity Building & Data Literacy

• Help academic coordinators and school leaders on interpreting and using data to drive instruction and school improvement.
• Promote a culture of evidence-based decision-making through workshops, briefings, and on-demand support.
• Contribute to the development of data literacy tools and guides

• Bachelor's or Master's in Data Science, Educational Measurement, or related field.
• 3–5 years of relevant experience in learning analytics or educational data systems.

• Proficient in Power BI, Excel, and Learning Management Systems (LMS).

• Fluency in Arabic and English