Makkah Business/Systems Analysts Job Listings

Workable

Senior Data Analyst

We are looking for a passionate Senior Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data Analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data Analyst will develop queries, reports, dashboards, and troubleshoot data issue. They will also monitor performance and quality control plans to identify improvements. Data Analyst will assist business departments in interpreting information, reports and dashboards and respond to their requests/questions. In addition, Data Analyst will assist data scientists in different AI projects, data engineers in requirements related to data preparation/management/governance, and data quality assurance officers in data integrity and cleansing activities. Responsibilities Identify and acquire data from different data sources (production, warehouse, external sources) and organize the data in usable formats. Develop and implement data collection systems, pipelines, data analytics and other strategies that optimize statistical efficiency and quality. Interpret data, analyze results using statistical techniques, create visualizations of data and provide reports, and dashboards. Identify, analyze, and interpret trends or patterns in complex data sets. Use BI tools to analyze data, and extract useful business insights. Filter and “clean” data by reviewing reports, dashboards, and performance indicators to locate and correct problems Locate and define new process improvement opportunities. Supporting business departments and responding to their data-related requests and keeping track of these requests. Supporting data engineers in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Training end-users on new reports and dashboards. Work with management to prioritize business and information needs. Requirements Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.). At least 3 years of experience as a Data Analyst or Business Data Analyst. Proficiency in Python . Excellent in Algorithms and Data Mining techniques. Familiarity with database technology (design and implementation) and query language. Strong knowledge of and experience with BI tools (e.g. Looker, Tableau..etc) and reporting packages. Knowledge of statistics and experience using statistical packages and python libraries for analyzing and visualizing datasets (NumPy, SciPy, Tensorflow, Keras, Pandas, Sklearn, MatplotLib... etc). Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Strong organizational and project management skills. Good problem-solving skills. Excellent communication and presentation skills Other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred

Jeddah Saudi Arabia

Negotiable Salary

Data Storage Analyst (Saudi Arabia)63360141348099111

Workable

Data Storage Analyst (Saudi Arabia)

Eram Talent is seeking a talented Data Storage Analyst to join our dynamic team in Saudi Arabia. The ideal candidate will be responsible for managing and optimizing data storage solutions to ensure maximum efficiency and security. This role will involve analyzing storage requirements, implementing solutions, and maintaining data integrity while collaborating with various departments to support their data needs. The Data Storage Analyst will play a crucial role in ensuring that our data storage architecture is robust, scalable, and aligned with industry best practices. Requirements Bachelor’s degree in Computer Science, Information Technology, or a related field. Proven experience in data storage technologies, including SAN, NAS, and cloud storage solutions. Primary experience with IBM storage platforms. Strong knowledge of data backup, restoration, and recovery processes. Experience in Storage, Backup and strong Linux skills. Experience with storage performance monitoring and capacity planning. Familiarity with data management best practices and compliance standards. Ability to analyze data storage requirements and provide recommendations for optimization. Strong problem-solving skills and attention to detail. Excellent communication and interpersonal skills. Relevant certifications (e.g., CompTIA Storage+, Certified Storage Networking Expert) are a plus.

Jeddah Saudi Arabia

Negotiable Salary

Senior/Staff Analytics Engineer63360111248003112

Workable

Senior/Staff Analytics Engineer

We are looking for a Senior Analytics Engineer to join our growing Data team. This role sits at the intersection of data engineering and data analysis, enabling high-quality data models, and tools to empower teams across the company to make data-informed decisions. You’ll work closely with data analysts, product managers, engineers, and business leaders to transform raw data into clean, reliable, and well-documented datasets. Responsibilities Own the design, development, and maintenance of our data models and transformation pipelines Collaborate with cross-functional stakeholders to understand data needs and build scalable solutions Ensure data quality and consistency through rigorous testing, validation, and monitoring practices Proactively spot and fix data issues Maintain and document the data warehouse structure, data dictionary, and lineage Define and enforce data modeling best practices Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights Improve developer experience across the data stack by automating workflows and simplifying data discovery Requirements 4+ years of experience in analytics engineering, data engineering, or data modelling Expertise in SQL and modern data transformation tools (e.g., dbt) with a proven ability to write clean, maintainable code Strong understanding of dimensional data modeling and data warehouse design Familiarity with CI/CD, version control (e.g., Git), and testing practices in analytics engineering Hands-on experience with modern data stacks (e.g., BigQuery, Airflow, Spark, Looker, Metabase) Excellent communication skills and a track record of collaborating effectively across technical and non-technical teams Proficiency working in Arabic is a plus Experience in ecommerce or fintech Knowledge of advanced analytics techniques, including machine learning, predictive modeling or AI Experience working in the GCC

Jeddah Saudi Arabia

Negotiable Salary

Senior Manager, Data Analytics63369862409729113

Workable

Senior Manager, Data Analytics

We are seeking a Senior Manager of Data Analytics with deep experience in data science, data warehousing and BI. This role will lead a team of data analysts and analytics engineers, shaping the direction of our data strategy and ensuring that business decisions are powered by reliable, scalable data infrastructure. You’ll be instrumental in driving data maturity across the company — balancing quick business wins with long-term architectural investments. Responsibilities Lead and mentor a cross-functional team of analytics engineers, data engineers and data scientist Oversee the development of the data warehouse and transformation layer (e.g., dbt) Define the vision for how data is structured, accessed, and used across the organization, ensuring alignment with business objectives Partner with product, engineering, and business stakeholders to deliver impactful insights and scalable data products Own key initiatives such as self-serve analytics, metric standardization, and data quality frameworks Establish best practices for data governance, reporting, and visualization Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization Build operational excellence within the data team through process improvements, best practices, and training Contribute to hiring and team growth by attracting and developing top data analytics talent Requirements 7+ years of experience in data science, analytics engineering, BI or related roles, including 2+ years of leadership Strong command of SQL, data modeling, and data architecture Experience building and managing data platforms using dbt, modern warehouses (Snowflake, BigQuery, etc.), and visualization tools Proven track record of delivering high-quality analytical work in fast-paced environments Ability to balance strategic thinking with technical execution Strong communication and stakeholder management skills, with the ability to translate technical complexity into business value Proficiency working in Arabic is a plus Experience in ecommerce or fintech Knowledge of advanced analytics techniques, including machine learning, predictive modeling or AI Experience working in the GCC

Jeddah Saudi Arabia

Negotiable Salary