data analyst

marketing specialist

business analyst

pmis specialist

sales specialist

data visualization specialist

Confidential Government

<div>
 
 
 Job Summary
 
 
 
 The Data Analyst Specialist is responsible for collecting, analyzing, and interpreting complex data sets to support business decision-making. The role focuses on transforming data into actionable insights that enhance operational efficiency, drive strategy, and improve overall business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze large datasets to identify trends, patterns, and insights relevant to business objectives
 </li>
 <li>
 Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or similar
 </li>
 <li>
 Collaborate with business stakeholders to understand data needs and translate them into analytical solutions
 </li>
 <li>
 Ensure data accuracy, integrity, and consistency across multiple data sources
 </li>
 <li>
 Perform data cleansing, validation, and transformation processes
 </li>
 <li>
 Support forecasting, budgeting, and performance analysis activities
 </li>
 <li>
 Automate reporting processes to improve efficiency
 </li>
 <li>
 Provide recommendations based on data analysis to support strategic decisions
 </li>
 <li>
 Monitor KPIs and business performance metrics
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong proficiency in SQL and data querying
 </li>
 <li>
 Experience with data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Advanced knowledge of Excel (Pivot Tables, Power Query, etc.)
 </li>
 <li>
 Understanding of statistical analysis and data modeling techniques
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to communicate complex data insights to non-technical stakeholders
 </li>
 <li>
 Attention to detail and data accuracy
 </li>
 <li>
 Knowledge of Python or R is a plus
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or related field
 </li>
 <li>
 3&ndash;5 years of experience in data analysis or similar role
 </li>
 <li>
 Preferably with experience in the
 
 real estate sector
 
 </li>
 </ul>
 
 
</div>

Data Analyst Specialist - Outsource Sales Sector

Prime Gate

<div>Job Summary:
We are seeking a highly analytical and detail-oriented Data Analyst to support the Madinaty SuperApp initiative. The role involves transforming raw data into actionable insights, enabling data-driven decision-making across multiple city services and digital platforms.
Key Responsibilities:
1. Data Analysis &amp; Insights<ul><li>Analyze large datasets to identify trends, patterns, and actionable insights</li><li>Develop dashboards and reports to support business and operational decisions</li><li>Translate business requirements into data-driven solutions</li></ul>
2. Data Visualization &amp; Reporting<ul><li>Design and maintain interactive dashboards (e.g., Power BI (Preferred), Tableau)</li><li>Present insights to stakeholders in a clear and impactful manner</li><li>Automate reporting processes for efficiency and consistency</li></ul>
3. Data Management &amp; Quality<ul><li>Ensure data accuracy, consistency, and completeness</li><li>Perform data cleansing, validation, and transformation</li><li>Collaborate with data engineering teams to optimize data pipelines</li></ul>
4. Business Collaboration<ul><li>Work closely with product, operations, and technical teams</li><li>Support KPI definition, tracking, and performance monitoring</li><li>Provide analytical support for strategic initiatives</li></ul>
Required Qualifications &amp; Skills:
Technical Skills:<ul><li>Strong proficiency in SQL and data querying</li><li>Experience with data visualization tools (Power BI, Tableau, Looker, etc.)</li><li>Knowledge of Excel and statistical analysis techniques</li><li>Familiarity with Python</li><li>Understanding of data warehousing concepts</li></ul>
Soft Skills:<ul><li>Strong analytical and problem-solving skills</li><li>Excellent communication and storytelling ability</li><li>Attention to detail and accuracy</li><li>Ability to work in a fast-paced, cross-functional environment</li></ul>
Preferred Qualifications:<ul><li>Experience in Smart City, SuperApp, or digital platform environments</li><li>Familiarity with big data technologies (e.g., Spark, Hadoop)</li><li>Knowledge of data governance and data quality frameworks</li></ul></div>

Data Analyst

MASTER-WORKS

<div>Develop, analyze, and visualize data using SAS Visual Analytics to support decision-making through high-quality interactive dashboards and reports, ensuring data accuracy and effective integration with various systems.
Responsibilities:<ul><li>
Develop dashboards and reports using SAS Visual Analytics.</li><li>
Translate business requirements into visual analytics solutions.</li><li>
Integrate and prepare data from multiple sources.</li><li>
Ensure data accuracy, performance, and usability of reports.</li><li>
Collaborate with business and technical stakeholders.</li></ul> 

Requirements 
Requirements:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field.</li><li>
5+ years of experience in SAS Visual Analytics.</li><li>
Strong knowledge of the SAS platform and data visualization concepts.</li><li>
Experience working with databases and large datasets.</li></ul>
Preferred Skills:<ul><li>
Experience in large-scale data environments or banking/government sectors.</li><li>
Knowledge of other BI or analytics tools (an advantage).</li><li>
SAS certifications (preferred).</li></ul>
Key Competencies:<ul><li>
SAS Visual Analytics</li><li>
Data Visualization</li><li>
Data Modeling &amp; Integration</li><li>
Business Intelligence</li><li>
Data Quality &amp; Accuracy</li><li>
Analytical Thinking</li><li>
Stakeholder Communication</li></ul></div>

SAS Visual Analytics Developer

Al Foadia Company Limited

We are seeking a detail-oriented and analytical Data and Reporting Analyst to join our client's team in Riyadh. In this role, you will be responsible for transforming raw data into actionable insights that drive strategic business decisions. The ideal candidate possesses a blend of technical expertise, analytical prowess, and the ability to communicate complex findings to diverse stakeholders.Key Responsibilities<ul><li>Data Collection &amp; Management: Extract, clean, and maintain data from various internal and external sources to ensure accuracy and integrity.</li><li>Reporting &amp; Dashboards: Design, develop, and maintain automated reports and interactive dashboards (using tools like Power BI or Tableau) to track Key Performance Indicators (KPIs).</li><li>Trend Analysis: Analyze large datasets to identify patterns, trends, and anomalies that impact business performance.</li><li>Stakeholder Collaboration: Work closely with department heads to understand their data needs and provide tailored analytical support.</li><li>Process Improvement: Identify opportunities to streamline data collection processes and improve reporting efficiency.</li><li>Ad-hoc Analysis: Perform deep-dive analyses on specific business problems as requested by management.</li></ul>Requirements<ul><li>Education: Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.</li><li>Experience: Minimum of 3&ndash;5 years of experience in a data analysis or business intelligence role.</li><li>Technical Skills: * Proficiency in SQL for database querying.</li><li>Advanced knowledge of Microsoft Excel (VLOOKUPs, Pivot Tables, Macros).</li><li>Experience with data visualization tools (Power BI, Tableau, or Qlik).</li><li>Familiarity with Python or R is a plus.</li><li>Soft Skills: Strong problem-solving abilities, excellent communication skills in English (Arabic is a plus), and high attention to detail.</li></ul>Please submit your updated resume to &quot;jobs@alfoadia.com.sa&quot;We look forward to reviewing your application!Good Luck !!Job Type: Full-timeWork Location: In person

Data and Reporting Analyst

Takamol Holding

<div>
 
 The
 
 Senior Data Scientist Specialist
 
 is responsible for analyzing complex data related to customer behavior, product performance, and business operations to provide actionable insights that drive strategic decisions. This role combines deep analytical skills with a business-oriented mindset, working closely with product, marketing, and customer experience teams to identify trends, optimize products, and enhance customer satisfaction. The Senior Data Scientist will leverage advanced statistical models, machine learning, and data visualization to uncover insights and guide decision-making.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Analyze customer data to identify behavior patterns, segmentation opportunities, and churn drivers, supporting initiatives to improve customer engagement and retention.
 </li>
 <li>
 Assess product performance through data-driven insights, identifying areas for improvement, new features, and potential optimizations to increase product value and customer satisfaction.
 </li>
 <li>
 Develop predictive models and forecasting techniques to support customer lifecycle management, product adoption trends, and demand forecasting.
 </li>
 <li>
 Work closely with product, marketing, and customer experience teams to translate business needs into analytical solutions, fostering data-driven decision-making.
 </li>
 <li>
 Design and conduct A/B tests and experiments to measure the impact of new features, marketing campaigns, and product changes on customer behavior and satisfaction.
 </li>
 <li>
 Create and maintain reports and dashboards to track key business metrics related to customer and product performance, ensuring alignment with organizational goals.
 </li>
 <li>
 Present complex data insights in a clear and accessible manner to stakeholders, using data visualization techniques to support storytelling and decision-making.
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Data Science, Economics, Econometrics, Quantitative Finance, Mathematics, Physics, or a related field.
 </li>
 <li>
 4+ years of experience in data science, analytics, or a similar role, with a focus on customer and product analysis.
 </li>
 <li>
 Data Analysis, Statistical Modeling and Machine Learning.
 </li>
 <li>
 Customer &amp; Product Insights.
 </li>
 <li>
 Data Visualization &amp; Storytelling.
 </li>
 <li>
 Experimentation &amp; A/B Testing.
 </li>
 <li>
 Familiarity with CDPs and Product Analytics Tools.
 </li>
 <li>
 Agile Environment Experience.
 </li>
 </ul>
</div>

Senior Data Scientist Specialist

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is seeking a skilled Power BI Developer who is also fluent in Arabic to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying Power BI solutions that deliver impactful business insights. Your ability to communicate effectively in Arabic will facilitate collaboration with Arabic-speaking stakeholders and clients.
Responsibilities:<ul>
<li>Develop and maintain robust Power BI reports and dashboards tailored to business requirements.</li>
<li>Collaborate with stakeholders, including Arabic-speaking clients, to gather requirements and translate them into technical solutions.</li>
<li>Optimize data models and ensure high performance of Power BI solutions.</li>
<li>Conduct data analysis to support decision-making processes and provide insights.</li>
<li>Ensure data quality, security, and governance standards are adhered to.</li>
<li>Provide support and training to users, including Arabic-speaking teams, to enhance their use of Power BI tools.</li>
<li>Stay up-to-date with the latest Power BI features and best practices to continually improve BI solutions.</li> 
</ul> 
 
Requirements 
<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>Proven experience as a Power BI Developer with a strong portfolio of Power BI projects.</li>
<li>Fluency in Arabic, both written and spoken, is essential for this role.</li>
<li>Strong proficiency in DAX, Power Query, and advanced Power BI functionalities.</li>
<li>Experience in data modeling, ETL processes, and SQL.</li>
<li>Ability to translate complex data into clear, actionable business insights.</li>
<li>Excellent communication and interpersonal skills for effective collaboration with bilingual teams and clients.</li>
<li>Knowledge of data governance, data quality, and security best practices.</li>
<li>Self-motivated with the ability to work independently and manage multiple projects.</li>
<li>Experience with other BI tools and analytics platforms is a plus.</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>

Power BI Developer/Arabic Speaker

<div>
 
 The
 
 Data Consultant
 
 is responsible for gathering, cleaning, and interpreting datasets to solve business problems, transforming raw data into actionable insights through data visualizations and reports to support data-driven decision-making across the organization. This role primarily focuses on Power BI but requires the flexibility to work with other reporting platforms such as Metabase, Apache Superset, or similar tools.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 
 1. Report Development &amp; Visualization:
 
 
 
 Design, build, and optimize interactive reports and dashboards in Power BI, ensuring data accuracy and visualization best practices.
 
 
 
 2. Cross-Platform Reporting Flexibility:
 
 
 
 Utilize adaptability to work with other reporting platforms (e.g., Metabase, Apache Superset) as needed, creating consistent, high-quality reports across tools.
 
 
 
 3. Business Data Analysis &amp; Insights:
 
 
 
 Conduct in-depth business data analysis to derive actionable insights and recommendations, enabling stakeholders to make informed decisions.
 
 
 
 4. Requirement Gathering &amp; Stakeholder Collaboration:
 
 
 
 Work closely with business stakeholders to understand reporting needs, gather requirements, and translate them into effective data visualizations that align with business objectives.
 
 
 
 5. Documentation &amp; Reporting Standards:
 
 
 
 Maintain documentation for reports and dashboards, including data sources, calculations, and assumptions, to ensure transparency and reproducibility.
 
 
 
 6. Performance Monitoring &amp; Optimization:
 
 
 
 Monitor the performance of reports and dashboards, optimizing for responsiveness, efficiency, and scalability across platforms.
 
 
 
 7. SQL Development:
 
 
 
 Design and optimize SQL queries to extract and transform data from various sources, supporting data visualization and reporting needs.
 
 
 
 8. Training &amp; Knowledge Sharing:
 
 
 
 Provide training and support to end-users on Power BI and other reporting tools, enhancing data literacy and effective use of reporting platforms within the organization.
 
 
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration, Information Systems, Economics, or a related field. A Master&rsquo;s degree or equivalent experience is preferred.
 </li>
 <li>
 4+ years of experience in data analysis, business intelligence, or reporting, with a primary focus on Power BI and the flexibility to work with other reporting platforms.
 </li>
 <li>
 Power BI and Looker and Cross-Platform Reporting Skills: Advanced skills in Power BI, including DAX and Power Query, with the flexibility to work across other reporting platforms (e.g., Metabase, Apache Superset) to create consistent, high-quality reports and dashboards.
 </li>
 <li>
 SQL Expertise: Expert-level SQL skills, with the ability to write, optimize, and troubleshoot complex queries to support data extraction, transformation, and reporting needs.
 </li>
 <li>
 Working with Semantic Layers: Experience in utilizing and integrating semantic layers (dbt, cube.dev, etc.) into reporting workflows to ensure standardized definitions, consistent data interpretation, and improved accessibility for end-users.
 </li>
 <li>
 Business Data Analysis: Strong analytical skills focused on interpreting business data, generating insights, and making actionable recommendations.
 </li>
 <li>
 Stakeholder Collaboration: Excellent communication skills to gather requirements, understand business needs, and convey insights to both technical and non-technical audiences.
 </li>
 <li>
 Documentation &amp; Best Practices: Ability to document reporting processes, data sources, and key calculations, maintaining transparency and standards in reporting.
 </li>
 <li>
 Performance Monitoring &amp; Optimization: Knowledge of techniques to monitor and optimize report performance, ensuring efficient data visualization and user experience.
 </li>
 </ul>
</div>

Data Consultant

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