37 Analytics Engineer jobs in Saudi Arabia
Data Analytics Engineer
Posted today
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Job Description
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
About UsRaqmiyat 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 DescriptionJob 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.
Data Analytics Engineer
Posted today
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Job Description
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.
Senior/Staff Analytics Engineer
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Job Description
The Senior/Staff Analytics Engineer at Salla will play a critical role in harnessing data to drive strategic business decisions. This position involves developing and maintaining robust data pipelines, creating insightful analytics solutions, and collaborating with cross-functional teams to elevate data literacy.
As a senior member of the team, you will lead initiatives to improve our analytics infrastructure, ensuring that business units have access to high-quality data for analysis and reporting.
Key responsibilities include:
- Design, develop, and maintain scalable data models and transformation pipelines (dbt, SQL, Databricks/BigQuery/Snowflake).
- Partner with business, product, and analytics teams to align data products with strategic KPIs (e-commerce, merchant success, customer experience).
- Establish and enforce data governance, testing, documentation, and quality standards across the stack.
- Orchestrate workflows with Airflow (or equivalent) to ensure automation, traceability, and reliability.
- Collaborate with engineers to integrate upstream data sources (APIs, event pipelines, real-time and batch data).
- Improve developer and analyst experience through semantic layer design, self-service enablement, and performance optimization.
- Mentor junior engineers and contribute to the maturity of Salla's data organization.
- At least 5 years of experience in analytics engineering or a related field.
- Advanced SQL and strong expertise with dbt (modeling, testing, documentation)
- Hands-on experience with modern data platforms (Databricks, BigQuery, or Snowflake).
- Solid understanding of dimensional modeling, semantic layers, and governed data products.
- Experience with workflow orchestration (Airflow or similar).
- Experience with cloud-based data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse.
- Familiarity with analytics visualization tools (e.g., Tableau, Looker).
- Excellent problem-solving skills and a data-driven mindset.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Experience in e-commerce, SaaS, or fintech is highly preferred
- Fluency in Arabic is preferred but not mandatory.
- Previous experience in the GCC market is an advantage.
- Comprehensive Training & Development programs.
- Performance-based Bonus incentives.
- Flexible Work From Home options.
Senior/Staff Analytics Engineer
Posted today
Job Viewed
Job Description
The Senior/Staff Analytics Engineer at Salla will play a critical role in harnessing data to drive strategic business decisions. This position involves developing and maintaining robust data pipelines, creating insightful analytics solutions, and collaborating with cross-functional teams to elevate data literacy.
As a senior member of the team, you will lead initiatives to improve our analytics infrastructure, ensuring that business units have access to high-quality data for analysis and reporting.
Key responsibilities include:
- Design, develop, and maintain scalable data models and transformation pipelines (dbt, SQL, Databricks/BigQuery/Snowflake).
- Partner with business, product, and analytics teams to align data products with strategic KPIs (e-commerce, merchant success, customer experience).
- Establish and enforce data governance, testing, documentation, and quality standards across the stack.
- Orchestrate workflows with Airflow (or equivalent) to ensure automation, traceability, and reliability.
- Collaborate with engineers to integrate upstream data sources (APIs, event pipelines, real-time and batch data).
- Improve developer and analyst experience through semantic layer design, self-service enablement, and performance optimization.
- Mentor junior engineers and contribute to the maturity of Salla's data organization.
Requirements
- At least 5 years of experience in analytics engineering or a related field.
- Advanced SQL and strong expertise with dbt (modeling, testing, documentation)
- Hands-on experience with modern data platforms (Databricks, BigQuery, or Snowflake).
- Solid understanding of dimensional modeling, semantic layers, and governed data products.
- Experience with workflow orchestration (Airflow or similar).
- Experience with cloud-based data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse.
- Familiarity with analytics visualization tools (e.g., Tableau, Looker).
- Excellent problem-solving skills and a data-driven mindset.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Experience in e-commerce, SaaS, or fintech is highly preferred
- Fluency in Arabic is preferred but not mandatory.
- Previous experience in the GCC market is an advantage.
Benefits
- Comprehensive Training & Development programs.
- Performance-based Bonus incentives.
- Flexible Work From Home options.
Business Intelligence
Posted today
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Job Description
Overview
Master-Works is on the lookout for a talented and driven Business Intelligence Analyst to enhance our analytics team. In this role, you will harness the power of data to inform strategic decisions and offer valuable insights. Collaborating with various departments, you will interpret complex datasets and transform them into meaningful reports and dashboards that drive business performance.
Key Responsibilities- Collaborate with business units to understand their analytical requirements
- Gather and analyze data to create detailed reports and dashboards
- Design innovative data models to improve reporting efficiency
- Conduct regular data reviews to ensure accuracy and reliability
- Present findings and insights to stakeholders to drive informed decision-making
- Stay current with industry trends in business intelligence and analytics
- A Bachelor’s degree in Information Technology, Data Science, Business Administration, or a related field
- Demonstrated experience as a Business Intelligence Analyst or a similar position
- Strong proficiency in SQL, data mining, and analysis
- Familiarity with BI platforms such as Tableau, Power BI, or similar tools
- Ability to present complex information in a clear and concise manner
- Excellent problem-solving skills and analytical thinking
- Strong attention to detail and organization skills
- Knowledge of programming languages like Python or R is an asset
- Proven ability to work independently and collaboratively in a team environment
Business Intelligence
Posted today
Job Viewed
Job Description
Overview
Master-Works is on the lookout for a talented and driven Business Intelligence Analyst to enhance our analytics team. In this role, you will harness the power of data to inform strategic decisions and offer valuable insights. Collaborating with various departments, you will interpret complex datasets and transform them into meaningful reports and dashboards that drive business performance.
Responsibilities- Collaborate with business units to understand their analytical requirements
- Gather and analyze data to create detailed reports and dashboards
- Design innovative data models to improve reporting efficiency
- Conduct regular data reviews to ensure accuracy and reliability
- Present findings and insights to stakeholders to drive informed decision-making
- Stay current with industry trends in business intelligence and analytics
- A Bachelor’s degree in Information Technology, Data Science, Business Administration, or a related field
- Demonstrated experience as a Business Intelligence Analyst or a similar position
- Strong proficiency in SQL, data mining, and analysis
- Familiarity with BI platforms such as Tableau, Power BI, or similar tools
- Ability to present complex information in a clear and concise manner
- Excellent problem-solving skills and analytical thinking
- Strong attention to detail and organization skills
- Knowledge of programming languages like Python or R is an asset
- Proven ability to work independently and collaboratively in a team environment
Business Intelligence
Posted today
Job Viewed
Job Description
Master-Works is on the lookout for a talented and driven Business Intelligence Analyst to enhance our analytics team. In this role, you will harness the power of data to inform strategic decisions and offer valuable insights. Collaborating with various departments, you will interpret complex datasets and transform them into meaningful reports and dashboards that drive business performance.
Key Responsibilities:
- Collaborate with business units to understand their analytical requirements
- Gather and analyze data to create detailed reports and dashboards
- Design innovative data models to improve reporting efficiency
- Conduct regular data reviews to ensure accuracy and reliability
- Present findings and insights to stakeholders to drive informed decision-making
- Stay current with industry trends in business intelligence and analytics
What We're Looking For:
- A Bachelor's degree in Information Technology, Data Science, Business Administration, or a related field
- Demonstrated experience as a Business Intelligence Analyst or a similar position
- Strong proficiency in SQL, data mining, and analysis
- Familiarity with BI platforms such as Tableau, Power BI, or similar tools
- Ability to present complex information in a clear and concise manner
- Excellent problem-solving skills and analytical thinking
- Strong attention to detail and organization skills
- Knowledge of programming languages like Python or R is an asset
- Proven ability to work independently and collaboratively in a team environment
If you are passionate about data and want to make an impact at Master-Works, we would love to hear from you.
Requirements
- Bachelor's degree in Information Technology, Data Science, Business Administration, or related field
- Demonstrated experience as a Business Intelligence Analyst or similar role
- Strong proficiency in SQL, data mining, and analysis
- Familiarity with BI platforms such as Tableau, Power BI, or similar tools
- Excellent communication and presentation skills
- Strong problem-solving and analytical thinking abilities
- Attention to detail and strong organizational skills
- Knowledge of programming languages such as Python or R is an asset
- A collaborative mindset with the ability to work independently
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Business Intelligence
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Job Description
About the company:
Mbrace is an unconventional Marketing & Advertising agency that brings together a global team of strategic and creative talents. Headquartered in Dubai, with teams in Paris, London, and Amman, Mbrace collaborates with governments, leading brands, and emerging startups. We offer expertise in marketing, communications, digital transformation, and media strategy. As our agency expands, we are looking for a talented Business Intelligence & Research Analyst to help lead and manage research projects, providing in-depth analysis and strategic insights that support our clients' business decisions and digital marketing efforts.
The Role:
We are seeking a highly skilled Business Intelligence/Research Analyst to oversee research projects from inception to final reporting. In this role, you will be responsible for conducting thorough research, analyzing complex data, and providing strategic insights that drive decision-making across multiple industries. You will work closely with various teams to ensure the research process is smooth, timely, and provides actionable insights for our clients' marketing, communications, and product development strategies.
Key Responsibilities:
- Lead Research Projects: Manage and execute research projects from A to Z, including defining objectives, gathering data, analyzing findings, and delivering reports.
- Data Analysis & Reporting: Conduct both qualitative and quantitative research (e.g., surveys, focus groups, competitive analysis) to provide actionable insights, supported by graphs, statistics, and clear reporting.
- Client Strategy Support: Work with internal teams and clients to define research goals, ensuring that the research outcomes support client business strategies.
- Market & Digital Insights: Analyze market trends, consumer behavior, and social media performance, providing insights to optimize marketing campaigns and product development strategies.
- Collaboration & Mentorship: Coordinate with marketing, product development, and other teams to ensure integrated strategies. Provide guidance to junior team members and interns.
- Process Improvement: Suggest improvements for research methodologies, reporting processes, and data visualization tools to enhance efficiency and output quality.
Qualifications:
- Experience: Previous of experience in business intelligence, market research, or data analysis, preferably in marketing, advertising, or digital transformation is preferred .
- Education: Bachelor's degree in Marketing, Business Administration, Data Science, Social Sciences, or a related field. Master's degree is a plus.
- Technical Skills: Proficiency in data analysis tools (Excel, Google Analytics, Power BI, etc.), survey tools, and statistical software. Experience with data visualization is required.
- Analytical Thinking: Strong ability to analyze large datasets, identify key trends, and generate actionable insights.
- Language: Fluent in English; proficiency in Arabic is preferred. Additional languages are an advantage.
- Project Management: Ability to manage multiple research projects simultaneously and meet deadlines.
- Client Engagement: Excellent communication skills, with the ability to present complex data insights in a clear and compelling way to clients.
- Adaptability: Ability to adapt to fast-changing client needs and shifting digital trends.
If you are driven by data, passionate about delivering insights, and ready to make a meaningful impact on a global scale, we'd love to hear from you
Business Intelligence
Posted today
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Job Description
- Fixed-term contract
- Full-time
- At least 5 years of experience (Senior level)
- Bachelor degree
- IT Specialist
Qualifications
Bachelor's degree in computer science, Information Security, or a related field.
Experience
- 3+ years of experience as a BI Analyst or in a related role, preferably in large-scale infrastructure or transportation projects.
- Experience working with O&M systems and associated data.
Main Purpose
The BI Analyst plays a vital role in designing, implementing, and managing data-driven solutions to support the operational and maintenance (O&M) activities of the Riyadh Metro. This position focuses on transforming complex datasets from various O&M systems into actionable insights that enhance performance, improve efficiency, and enable informed decision-making.
The ideal candidate will ensure data consistency and security while:
- Creating advanced dashboards and analytics tools to drive the metro's success.
- Designing and implementing robust BI architectures.
- Developing and managing ETL (Extract, Transform, Load) processes to seamlessly integrate data from multiple operational technology (OT) sources.
- Maintaining and optimizing data warehouses to ensure accuracy and accessibility.
- Configuring and managing BI tools to create interactive dashboards, streamline query performance, and safeguard data integrity.
Location
Address
Riyad, Riyad, Arabie saoudite
Business Intelligence
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Job Description
Summary:
The Director of Business Intelligence will lead the company's data and analytics strategy, ensuring the effective use of business intelligence tools, processes, and insights to support decision-making across all business functions. This role will oversee BI governance, data architecture, reporting solutions, and advanced analytics initiatives, driving a data-driven culture that enhances operational efficiency and strategic growth.
Key Responsibilities
Strategic Leadership
- Develop and implement the company's BI vision, roadmap, and long-term strategy.
- Partner with executive leadership to identify key business challenges and opportunities where BI can add value.
- Establish BI governance, data quality standards, and best practices.
Data & Analytics Management
- Oversee the design, development, and maintenance of BI tools, dashboards, and reports.
- Ensure the integrity, accuracy, and security of data used for analytics.
- Lead the integration of multiple data sources into a single, reliable source of truth.
- Introduce advanced analytics techniques such as predictive modeling, machine learning, and AI where applicable.
Team Leadership
- Build, lead, and mentor a team of BI analysts, data engineers, and data scientists.
- Foster a culture of collaboration, continuous improvement, and innovation.
- Provide training and guidance to stakeholders on BI tools and data literacy.
Business Partnership
- Collaborate with functional heads (Finance, Sales, Operations, HR, IT) to deliver actionable insights.
- Translate business requirements into technical specifications for BI solutions.
- Present findings and recommendations to senior management in a clear, actionable manner.
Technology & Tools
- Evaluate and implement BI tools and platforms (e.g., Microsoft Power BI, Tableau, Qlik, SAP BI, Snowflake).
- Stay updated on emerging technologies and trends in analytics, big data, and visualization.
Qualifications
- Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field. Master's degree or MBA preferred.
Experience:
- Minimum 5-9 years in data analytics, BI, or related field.
- At least 4 years in a leadership role managing BI or data teams.
- Proven success in implementing enterprise-wide BI strategies.
Skills:
- Strong knowledge of BI tools (Power BI, Tableau, Qlik, or similar).
- Expertise in SQL, data warehousing, and ETL processes.
- Familiarity with big data platforms and cloud-based analytics (Azure, AWS, GCP).
- Excellent leadership, communication, and stakeholder management skills.
- Ability to translate complex data into clear business insights.