business analyst

data engineer

financial analyst

sales analyst

data architect

data analytics

Confidential Government

<div>
 
 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:
 
 
 
 
 
 <ul>
 <li>
 Collect, analyze, and interpret large datasets to uncover trends and opportunities.
 </li>
 <li>
 Develop interactive dashboards and reports using leading visualization tools (Power BI, Tableau, or similar).
 </li>
 <li>
 Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
 </li>
 <li>
 Present insights in a clear, engaging, and actionable manner for both technical and non-technical stakeholders.
 </li>
 <li>
 Ensure data accuracy, integrity, and consistency across all analytics and reporting outputs.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Certification :
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related field.
 </li>
 <li>
 Proficiency in SQL and data visualization platforms (Power BI, Tableau, Qlik, etc.).
 </li>
 <li>
 Professional certifications in data analysis and data visualization is preferred
 </li>
 </ul>
 
 
</div>

Data Analytics & Visualization, Business Intelligence

Guardian Management Services

location-Riyadh.Position - Senior Consultant (Enterprise Data Analytics Architect)Job Description-Define and maintain the enterprise-wide OutSystems architecture strategy, aligned withbusiness and Digital objectives.<ul><li>Design scalable, modular, and reusable architecture patterns and components to</li></ul>accelerate delivery and reduce technical debt.<ul><li>Lead architectural reviews and ensure adherence to OutSystems best practices and</li></ul>enterprise standards.<ul><li>Drive development efficiency by identifying platform optimizations, automation</li></ul>opportunities, and reusable assets.<ul><li>Guide and mentor technical teams on architectural decisions, design principles, and</li></ul>performance optimization.<ul><li>Collaborate with DevOps teams to ensure robust CI/CD processes for OutSystems on-</li></ul>premise and hybrid environments.Evaluate new tools, technologies, and OutSystems features to drive continuousimprovement and innovation.<ul><li>Establish and enforce governance policies across all OutSystems development efforts.</li></ul><ul><li>Coordinate with security, infrastructure, and compliance teams to ensure solution</li></ul>robustness and regulatory alignment.Job Type: Contract Contract length: 6 monthsPay: &#65020;20,000.00 - &#65020;22,000.00 per month

Senior Consultant (Enterprise Data Analytics Architect)

BDO Saudi Arabia, Dr. Mohamed Al-Amri & Co.

<div>
 
 Position Summary:
 
 
 
 
 
 We are seeking a hands-on Senior Data Analytics Engineer / Data Architect to lead the design, implementation, and management of enterprise data solutions. The ideal candidate will have deep expertise in data engineering, business intelligence, cloud platforms, and modern database technologies including graph and vector databases.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 - Design and implement scalable data pipelines using ETL tools, SQL, Python, and REST APIs.
 
 
 - Integrate data from multiple systems (ITSM, ERP, CRM, Asset Management, HR) into unified analytics models.
 
 
 - Build and maintain star-schema models and dimensional data warehouses.
 
 
 - Develop dashboards and reports using Power BI, Tableau, or similar BI tools.
 
 
 - Implement advanced DAX measures and performance tuning in Power BI.
 
 
 - Integrate and manage graph databases (e.g., Neo4j) and vector databases (e.g., Pinecone, Weaviate) for advanced analytics.
 
 
 - Ensure data governance, lineage, and compliance using tools like Microsoft Purview.
 
 
 - Collaborate with business stakeholders to translate requirements into technical solutions.
 
 
 - Manage cloud infrastructure and data services on Azure, AWS, or GCP.
 
 
 - Implement role-based access control and data security protocols.
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 - Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field.
 
 
 - 4+ years of experience in data engineering, BI development, or data architecture.
 
 
 - Proficiency in SQL, Python, Power Query (M), and REST API integration.
 
 
 - Experience with Power BI, Tableau, or other BI platforms.
 
 
 - Familiarity with graph databases (Neo4j) and vector databases (Pinecone, Weaviate).
 
 
 - Experience with cloud platforms (Azure, AWS, GCP) and data governance tools.
 
 
 - Strong analytical and problem-solving skills.
 
 
 
 
 
 Benefits
 
 
 
 
 
 - Competitive salary and benefits package.
 
 
 - Opportunities for professional development and certification.
 
 
 - Collaborative and innovative work environment.
 
</div>

Senior Data Analytics Engineer / Data Architect

Artefact

<div>
 
 
 Management Consultant (Data, AI &amp; Analytics)
 
 
 
 
 
 
 Whether you are starting out as a Junior, growing as a Senior, or ready to lead as an Engagement Manager, we are hiring across all levels.
 
 
 
 
 
 Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we&rsquo;re enjoying skyrocketing growth.
 
 
 The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner&hellip;
 
 
 
 
 
 
 What will you be doing?
 
 
 <ul>
 <li>
 Involved in managing projects across Data, AI &amp; Analytics, ensuring end-to-end execution and timely delivery.
 </li>
 <li>
 Break down and structure complex client challenges into clear, actionable solutions.
 </li>
 <li>
 Create compelling client proposals, business development materials, and presentation decks.
 </li>
 <li>
 Bridge the gap between technical and business teams by translating complex data and technical concepts into clear business insights.
 </li>
 <li>
 Contribute to the expansion of our data consulting practice
 </li>
 </ul>
 
 
 
 
 
 What are we looking for?
 
 
 <ul>
 <li>
 You must have prior management consultancy experience, ideally within Strategy Consulting or Data Consulting.
 </li>
 <li>
 Graduated from a Business school or an Engineering Program
 </li>
 <li>
 We are looking for profiles with a dual focus on &ldquo;business&rdquo; and &ldquo;data&rdquo;
 </li>
 <li>
 You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service, etc).
 </li>
 </ul>
 
 
 
 
 
 Innovation
 
 : We have a passion for creating impactful projects and believe innovation can come from anyone.
 
 
 
 Action:
 
 We make things rather than telling people how to make them.
 
 
 
 Collaboration
 
 : We believe in bringing talented people together, winning together, and in learning from each other.
 
</div>

Management Consultant (Data, AI & Analytics)

Takamol Holding

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.
 </li>
 <li>
 Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.
 </li>
 <li>
 Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.
 </li>
 <li>
 Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.
 </li>
 <li>
 Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.
 </li>
 <li>
 Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.
 </li>
 <li>
 Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 A degree in computer science, data science or any other relevant field. A master's is a plus
 </li>
 <li>
 4 years of experience in relevant fields
 </li>
 <li>
 Data Engineering &amp; Querying: Strong proficiency in SQL
 </li>
 <li>
 Visualization &amp; Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.
 </li>
 <li>
 Data Wrangling: Ability to handle raw, messy data&mdash;cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.
 </li>
 <li>
 Cloud &amp; 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.
 </li>
 </ul>
</div>

Data Analysis Specialist

Visa

<div>
 
 Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Position Summary
 
 
 
 
 
 We are seeking an innovative and analytical thinker to support our Data Science team in the GCC region based in Riyadh, KSA. As a Data Scientist, you are expected to generate data and business insights, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.
 
 
 
 
 
 
 
 Principal Responsibilities
 
 
 
 
 <ul>
 <li>
 Serve as an analytics expert in designing, developing and implementing best in analytic solutions
 </li>
 <li>
 Create and deliver powerful insights from data through better visualization and storyboarding
 </li>
 <li>
 Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
 </li>
 <li>
 Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
 </li>
 <li>
 Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
 </li>
 <li>
 Execute on the analytics plan with appropriate data mining and analytical techniques
 </li>
 <li>
 Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
 </li>
 <li>
 Ensure all project documentation is up to date and all projects are reviewed per analytics plan
 </li>
 <li>
 Ensure project delivery within timelines and budget requirements
 </li>
 <li>
 Build on team&rsquo;s analytical skills and business knowledge
 </li>
 <li>
 Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
 </li>
 <li>
 Provide subject matter expertise and quality assurance of complex data-driven analytic projects
 </li>
 </ul>
 
 
 
 
 
 
 Technical Expertise
 
 
 
 
 <ul>
 <li>
 Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
 </li>
 <li>
 Ability to write scratch MapReduce jobs and fluency with Spark frameworks
 </li>
 <li>
 Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE&rsquo;s (Jupyter Notebooks), proficiency in SAS technologies and techniques
 </li>
 <li>
 Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
 </li>
 <li>
 Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services
 </li>
 <li>
 Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
 </li>
 <li>
 Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro
 </li>
 <li>
 Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
 </li>
 <li>
 Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)
 </li>
 <li>
 Deliver results within committed scope, timeline and budget
 </li>
 <li>
 Very strong people/project management skills and experience
 </li>
 <li>
 Ability to travel within GCC on short notice
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications
 
 
 &bull;2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
 
 
 
 
 Preferred Qualifications
 
 
 &bull;3 or more years of work experience with a Bachelor&rsquo;s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
 
 
 &bull;Minimum of 3-4 years of analytics expertise in applying statistical solutions to business problems
 
 
 &bull;Experience working in one or more of the Card Payments markets around the globe
 
 
 &bull;Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
 
 
 
 
 
 
 Additional Information
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
</div>

Data Scientist (Saudi nationals)

Muller's Solutions

<div>M&uuml;ller's Solutions is on the lookout for a talented Data Architect to join our team. In this role, you will be responsible for designing and implementing comprehensive data architectures that align with the organization&rsquo;s strategic goals. Your expertise will contribute to managing data effectively, ensuring high data quality, and supporting data analytics efforts across various departments. You will collaborate with cross-functional teams to drive the development of innovative data solutions that enhance business processes. 
Responsibilities: 
<ul>
<li>Design, implement, and manage complex data architectures that support business objectives.</li>
<li>Develop and maintain data models, database schemas, and data flow diagrams.</li>
<li>Collaborate with business analysts and stakeholders to gather data requirements and translate them into architectural specifications.</li>
<li>Establish and enforce data governance policies and best practices.</li>
<li>Conduct data quality assessments and implement solutions for data cleansing and accuracy.</li>
<li>Oversee data integration efforts with various systems, ensuring seamless data flow.</li>
<li>Work with IT teams to optimize database performance and storage solutions.</li>
<li>Continuously evaluate and adopt new technologies to enhance data architecture.</li>
<li>Provide mentorship and guidance to junior data professionals.</li>
<li>Stay updated on industry trends and advancements in data architecture and management.</li>
</ul>Requirements 
Requirements: 
<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or related field.</li>
<li>Proven experience as a Data Architect or a similar role.</li>
<li>Strong expertise in data modeling and database design.</li>
<li>Experience with data integration tools and ETL processes.</li>
<li>Familiarity with data governance frameworks and best practices.</li>
<li>Proficient in SQL, as well as experience with database management systems (e.g., Oracle, SQL Server, MySQL).</li>
<li>Solid understanding of data security principles and practices.</li>
<li>Analytical mindset with excellent problem-solving skills.</li>
<li>Strong communication and interpersonal skills.</li>
<li>Ability to work collaboratively in a team-oriented environment.</li>
</ul>Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Data Architect

Explore 1773+ Data analytics in Saudi Arabia this September. Find roles across top companies and apply now to boost your career.