1 071 Employee Data jobs in Saudi Arabia
Data Analysis Specialist
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Job Description
- Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.
- Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.
- Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.
- Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.
- Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.
- Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.
- Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).
Job Requirements
- A degree in computer science, data science or any other relevant field. A master's is a plus
- 4 years of experience in relevant fields
- Data Engineering & Querying: Strong proficiency in SQL
- Visualization & Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.
- Data Wrangling: Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.
- Cloud & 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.
Data Engineer / Data Integration
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Data Engineer / Data Integration
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Data Engineer / Data Integration
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HR Data Analyst
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Key Responsibilities:
Data Management & Reporting
- Collect, clean, and maintain accurate HR data across systems (HRIS, ATS, payroll, GOSI, etc.).
- Develop and maintain HR dashboards and reports (headcount, turnover, absenteeism, recruitment metrics, training, compensation, etc.).
- Automate HR reporting processes to improve accuracy and efficiency.
- Support HR audits, compliance reporting, and ad-hoc data requests.
Analytics & Insights
- Conduct statistical and trend analysis to identify workforce risks and opportunities.
- Provide insights on recruitment performance, retention, employee engagement, and productivity.
- Support compensation benchmarking, workforce cost forecasting, and benefits analysis.
- Build predictive models to forecast workforce needs and turnover trends (advantage).
Strategic Partnering
- Collaborate with HR leadership, business partners, and line managers to deliver data-driven recommendations.
- Translate complex data findings into simple, actionable insights for HR and business stakeholders.
- Contribute to HR digital transformation initiatives by leveraging analytics and visualization tools.
- Support decision-making on policy changes, organizational design, and workforce planning.
Qualifications
- Bachelor's degree in human resources, Business Analytics, Data Science, or related field.
- Minimum of 3 years' experience in HR data analytics, HRIS, or reporting.
- Proficiency in
Excel, SQL, and HRIS platforms
(Workday, SAP, SuccessFactors, or similar). - Hands-on experience with
data visualization tools
(Power BI, Tableau). - Strong proficiency in English (spoken and written)
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent communication skills with the ability to present data insights to non-technical stakeholders.
- Knowledge of HR processes, labor laws, and key HR metrics.
Senior Data Engineer (Data Management)
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Arthur Lawrence is urgently looking for a Senior Specialist – Data Management for a client in Riyadh, KSA. Kindly review the Job requirements below. Your immediate application will enable us to place you successfully.
Must-Have- 7+ years of proven experience in data management
- Skilled in big data technologies like Hadoop, Spark, Kafka, Impala, Nifi and Hive
- Must be proficient in implementing data governance policies, optimizing data pipelines, and supporting data lakes and warehouses
- Experience in designing, developing, and maintaining data infrastructure
- Bachelor’s degree in Information Technology or a related field
Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enables organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.
We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.
Acknowledgements from Industry Peers- Winner of Entrepreneur 360 Award (2019).
- IAOP Award; Ranked in top 100 internationally.
- Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest. Growing companies of America.
- Named one of the top ten fastest growing businesses in Houston in 2016.
- Ranked 25th in the HBJ s Fast 100 Private Companies Award in 2017.
We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People and Stewardship. Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation.
How much experience do you have in Data Management?
Do you have experience in designing & developing data infrastructure and systems?
#J-18808-LjbffrData Architect
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- Data modeling and design: Data architects must have the ability to design comprehensive data models that reflect complex business scenarios. They must be proficient in conceptual, logical, and physical model creation. This is the core skill of the data architect and the most requested skill in data architect job descriptions. This often includes SQL development and database administration.
- Data governance and compliance: With regulations continuing to evolve, data architects must ensure their organization’s data management practices meet stringent legal and ethical standards. They need skills to create frameworks that maintain data quality, security, and privacy.
- Cloud computing expertise: Organizations are continuing to migrate to cloud-based solutions, making understanding of cloud services, architectures, and storage solutions essential. They must also understand cloud security, hybrid cloud environments, and cost-efficient infrastructure design.
- Proficiency with big data technologies: Data architects must understand how to implement big data solutions to stream data and real-time analytics.
- ML and AI integration: They must understand how to build data pipelines that feed into AI algorithms and how to structure databases for ML workloads.
- Interdisciplinary collaboration: Data architects must be able to work closely with stakeholders including business leaders, IT professionals, data scientists, and developers. They also have to translate business requirements into technical specifications, and vice versa.
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Data Architect
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Position Overview: As a Data Architect at Master-Works, you will be responsible for designing, building, and maintaining the data architecture that supports our organization's goals. You will collaborate with cross-functional teams to ensure the effective storage, retrieval, and analysis of data, thus enabling data-driven decision-making.
Core Responsibilities:
- Design and implement data models, databases, and data warehouses to support business applications and analytics.
- Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
- Develop and maintain ETL processes to ensure the timely and accurate movement of data.
- Establish data governance policies and procedures to ensure data quality and integrity.
- Optimize database performance, conduct capacity planning, and monitor system health.
- Implement data security protocols to protect sensitive information and ensure compliance with regulations.
Key Deliverables:
- Develop robust data architecture documentation and metadata repositories.
- Create and manage data pipelines that facilitate data access for analytics and reporting.
- Lead efforts to modernize the data infrastructure, including integration with cloud-based services.
- Provide technical guidance and support to data analysts and scientists in utilizing data effectively.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- Minimum of 5 years of experience as a Data Architect or in a related role.
- Proficiency in SQL and experience with database management systems (e.g., SQL Server, Oracle, PostgreSQL).
- Strong understanding of data modeling concepts and best practices.
- Experience with ETL tools and data integration techniques.
- Familiarity with cloud data services (e.g., AWS, Azure) is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a team-oriented environment.
Data Processor
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Geophysical Survey
Geophysical Survey: We are currently looking for a Data Processor for our client’s project in KSA . Mobilization is scheduled for the end of October , with a duration of approximately 2 months .
Experience: Candidates must have a minimum of 7 years of offshore experience as a Geophysical Data Processor or Geophysicist. They should be proficient in data processing and reporting, with extensive experience using the following software:
- Starfix
- Caris
- VBA Proc (for DP)
- Other relevant geophysical processing software
Requirements:
- Age must be below 55 years
- BMI below 30
- Candidates should declare if they have undergone any major surgery in the past
Documentation: For this role, the following certificates/documents must be valid and up to date:
- Offshore Medical
- Passport
- Safety Training (BOSIET/FOET)
- Seaman’s Book
Interested? Please contact for more information.
#J-18808-LjbffrData Engineer
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Overview
Tyde Digital, a trusted business optimization consultancy, is looking for a highly analytical and detail-oriented Data Engineer to join our rapidly growing team.
At Tyde, we collaborate with businesses across diverse industries and regions, helping them enhance four key areas of their operations: people, processes, technology, and data . Our goal is to empower organizations with data driven decision-making, enabling them to achieve their strategic objectives.
As a Data Engineer, you’ll play a pivotal role in designing, managing, and optimizing data infrastructure. You’ll work closely with Business Analysts and Data Analysts to transform complex data into actionable insights, driving meaningful and measurable outcomes for our clients.
Who We’re Looking ForTyde Digital is home to problem-solvers, innovators, and strategic thinkers. If you’re passionate about business transformation, thrive in a collaborative setting, and are driven by results, you’ll fit right in.
Non Negotiable traits- Adaptability in a fast-moving environment
- Proactive problem-solving mindset
- Strong analytical and data-driven decision-making skills
- Meticulous attention to detail
- Commitment to delivering exceptional value to clients
- True passion and pride in the work we deliver
- Data Pipeline Development: Design and implement scalable and efficient architecture for data pipelines, ensuring seamless data flow across multiple endpoints.
- Technical Customizations: Deploy technical customizations to pre-packaged software solutions.
- Micro-service and API Development: Create and deploy micro-services and APIs to facilitate data transfer and integration between various systems.
- Data Transformation: Perform data transformation activities, including data cleansing, data mining, and data processing, utilizing a variety of technologies and tools.
- Continuous Improvement: Collaborate with cross-functional teams to drive changes and enhancements based on data-driven findings.
- Data Mapping: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
- Solution Development: Design and implement end-to-end data-driven solutions tailored to business requirements, integrating tools, platforms, and custom logic to address specific operational challenges.
- Collecting Requirements from Clients: Identify and present key gaps and opportunities for business optimization from the client.
- Creating Data-Driven Insights: Provide valuable insights derived from data analysis and contribute to strategic decision-making processes.
- Reporting and Visualization: Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others.
- KPI Identification: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
- Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience.
- 2+ years of experience in data engineering or a related role.
- Proven experience in data engineering or a related role.
- Proficiency in data pipeline development, including ETL processes.
- Strong programming skills in languages such as Python, C#, or Java.
- Experience in extracting applicable data from databases using SQL.
- Experience in cloud computing platforms (AWS/GCP/Azure).
- Experience with BI tools like Power BI, Tableau, or similar platforms.
- Strong problem-solving abilities and attention to detail.
- Ability to work collaboratively in a cross-functional team environment.
- Knowledge of data governance and security best practices is a plus.
- Excellent verbal and written communication skills.
- Excellent data visualization and communication skills.
- Experience with Power Platform Development applications.
- Experience with custom SharePoint applications and workflows.
We are in a critical phase of growth, which brings incredible opportunities but also unique challenges. Our projects span multiple geographies, often requiring travel and periods of time abroad to ensure seamless delivery and deep client engagement. At the same time, our biggest project isn’t just client-facing it’s also internal. We are constantly refining and improving our own systems and processes to ensure that as we scale, we remain agile and effective.
The pace is fast, and so adaptability is key. However, the rewards of joining at this early stage are immense your work will have a direct impact on the company’s future, and you’ll be in a position to shape the culture, operations, and strategic direction of a business that’s on a rapid growth trajectory.
Why Join Us- Client-First Philosophy: We prioritize the goals of our clients, offering a fresh alternative to traditional consultancy approaches. No legacy-minded advice or pushy sales tactics just honest, results-driven solutions.
- Technology Agnostic Excellence: We're not here to sell software. We help businesses maximize their existing technology investments and identify the most suitable new tools when necessary.
- Data-Driven Innovation: We enable businesses to turn accurate, accessible, and actionable data into real-time insights, driving tangible business results.
- Sustainable Client Growth: Our solutions aren’t just about solving today’s challenges they’re about setting the foundation for tomorrow’s innovation and success.
- Career Advancement: Joining the business at this phase of growth provides opportunity for accelerated career development working closely with the founders.