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associate / senior associate - consumer experience, ksa Jobs in Saudi Arabia

business analyst

data analytics customer intelligence specialist

TAWANTECH

<div>JOB PURPOSE &amp; SUMMARY
The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
strategies. The successful candidate will design robust predictive frameworks and build self-service
visualization assets to guide corporate decision-making.
KEY RESPONSIBILITIES<ul><li>Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product</li></ul>
affinity.<ul><li>Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey</li></ul>
friction points, and engagement lifecycle stages.<ul><li>Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly</li></ul>
measure marketing ROI and portfolio performance.<ul><li>Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,</li></ul>
real-time metrics for executive leadership.<ul><li>Extract, clean, and manipulate heavy transactional and profile records from central enterprise data</li></ul>
warehouses.<ul><li>Act as an analytical business partner, converting data findings into commercial recommendations for</li></ul>
product development and marketing departments. 
Requirements 
JOB REQUIREMENTS &amp; QUALIFICATIONS<ul><li>Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity.</li><li>Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive</li></ul>
statistical teams, or sophisticated commercial analysis environments.<ul><li>Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/</li></ul>
data manipulation and Python for statistical modeling.<ul><li>Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual</li></ul>
dashboards in Power BI or Tableau.<ul><li>Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity</li></ul>
modelling) and executing behavioral analytics tracks.</div>

Data Analytics / Customer Intelligence Specialist

<div>
 
 Job Purpose &amp; Summary
 
 
 
 The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
 
 
 into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
 
 
 business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
 
 
 strategies. The successful candidate will design robust predictive frameworks and build self-service
 
 
 visualization assets to guide corporate decision-making.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product
 
 
 </li>
 </ul>
 affinity.
 
 
 <ul>
 <li>
 Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey
 
 
 </li>
 </ul>
 friction points, and engagement lifecycle stages.
 
 
 <ul>
 <li>
 Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly
 
 
 </li>
 </ul>
 measure marketing ROI and portfolio performance.
 
 
 <ul>
 <li>
 Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,
 
 
 </li>
 </ul>
 real-time metrics for executive leadership.
 
 
 <ul>
 <li>
 Extract, clean, and manipulate heavy transactional and profile records from central enterprise data
 
 
 </li>
 </ul>
 warehouses.
 
 
 <ul>
 <li>
 Act as an analytical business partner, converting data findings into commercial recommendations for
 
 
 </li>
 </ul>
 product development and marketing departments.
 
 
 
 Requirements
 
 
 
 
 JOB REQUIREMENTS &amp; QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity
 </li>
 <li>
 Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive
 
 
 </li>
 </ul>
 statistical teams, or sophisticated commercial analysis environments.
 
 
 <ul>
 <li>
 Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/
 
 
 </li>
 </ul>
 data manipulation and Python for statistical modeling.
 
 
 <ul>
 <li>
 Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual
 
 
 </li>
 </ul>
 dashboards in Power BI or Tableau.
 
 
 <ul>
 <li>
 Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity
 
 
 </li>
 </ul>
 modelling) and executing behavioral analytics tracks.
</div>

<div>
 
 Role Overview
 
 
 
 
 
 The Data Analysis Specialist is responsible for designing and managing data structures, developing data infrastructure, and analyzing data behavior to support business intelligence and strategic decision-making. The role focuses on optimizing data architecture, ensuring data quality, and transforming complex datasets into actionable insights that improve operational efficiency and business performance.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, develop, and maintain data models, database structures, and data architecture aligned with business requirements.
 </li>
 <li>
 Build and optimize data infrastructure including data warehouses, ETL/ELT pipelines, and data integration processes.
 </li>
 <li>
 Analyze data behavior, trends, and patterns to identify insights, risks, and opportunities for business improvement.
 </li>
 <li>
 Develop dashboards, reports, and KPI tracking systems using data visualization and analytics tools.
 </li>
 <li>
 Ensure data accuracy, integrity, governance, and consistency across all systems and platforms.
 </li>
 <li>
 Monitor and enhance database performance, scalability, and reliability.
 </li>
 <li>
 Collaborate with business stakeholders and technical teams to understand reporting and analytical requirements.
 </li>
 <li>
 Identify anomalies, inconsistencies, and gaps within datasets and recommend corrective actions.
 </li>
 <li>
 Support strategic planning and operational decisions through advanced analytics and reporting.
 </li>
 <li>
 Document data processes, workflows, technical structures, and governance standards.
 </li>
 <li>
 Implement best practices related to data management, business intelligence, and analytics frameworks.
 </li>
 <li>
 Support digital transformation initiatives by improving data accessibility and reporting efficiency.
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Statistics, or related field.
 </li>
 <li>
 Professional certifications in Data Analytics, Data Engineering, Business Intelligence, or Cloud Data Platforms are preferred.
 </li>
 </ul>
 
 
 
 
 Experience
 
 <ul>
 <li>
 3&ndash;6 years of experience in data analysis, data modeling, or data infrastructure roles.
 </li>
 <li>
 Hands-on experience with data warehousing, database management, and business intelligence solutions.
 </li>
 <li>
 Experience in handling large datasets and analytical reporting.
 </li>
 <li>
 Real estate industry experience is considered an advantage.
 </li>
 </ul>
 
 
</div>

Data Analysis Specialist (Outsource)

Tamer Group

<div>
 
 
 Job Purpose:
 
 
 
 
 
 
 We are currently seeking a Senior Data Analyst / Sr. Business Intelligence Analyst to support business decision-making through data analysis, reporting, and business intelligence solutions.
 
 
 The ideal candidate should have solid experience in Data Analytics, Business Intelligence, Data Visualization, and Reporting, with strong hands-on expertise in Power BI, SQL, Data Modeling, and KPI analysis.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain interactive Power BI dashboards and reports across multiple business functions, including Finance, Procurement, Supply Chain, and Sales.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and business opportunities.
 </li>
 <li>
 Translate business requirements into analytical frameworks and actionable insights.
 </li>
 <li>
 Support data collection, preparation, validation, and quality assurance activities.
 </li>
 <li>
 Develop and maintain data models, measures, and calculations using DAX and Power Query (M).
 </li>
 <li>
 Collaborate with business stakeholders, IT teams, and BI teams to ensure data integrity, reporting accuracy, and alignment with business KPIs.
 </li>
 <li>
 Support Business Intelligence initiatives, reporting optimization, and self-service BI adoption.
 </li>
 <li>
 Utilize AI-enabled analytics capabilities within Microsoft Fabric and Power BI, including Copilot and Natural Language Query features, while validating analytical outputs for business relevance and accuracy.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Data Science, Statistics, or a related field.
 </li>
 <li>
 4&ndash;7 years of experience in Data Analysis, Business Intelligence, Reporting, or related IT functions.
 </li>
 <li>
 Advanced proficiency in Power BI, including Dashboards, Dataflows, Datasets, DAX, Power Query, and Report Development.
 </li>
 <li>
 Strong experience in SQL querying, relational databases, and data warehouses.
 </li>
 <li>
 Experience in Data Modeling, ETL/Data Preparation, KPI Reporting, and Data Visualization.
 </li>
 <li>
 Familiarity with Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Data Warehouse) is preferred.
 </li>
 <li>
 Exposure to AI-assisted analytics tools, reporting automation, and advanced analytics capabilities is an advantage.
 </li>
 <li>
 Certifications such as PL-300 (Microsoft Certified: Power BI Data Analyst Associate) are preferred; DP-600 (Microsoft Fabric Analytics Engineer Associate) is a plus.
 </li>
 </ul>
 
 
 
 
 Candidates with relevant experience in Power BI, SQL, Business Intelligence, Data Analytics, Data Visualization, Microsoft Fabric, DAX, Power Query, Data Modeling, and KPI Reporting are encouraged to apply.
 
</div>

Senior Data Analyst

Digital HR Consultancy

Location: Jeddah, Saudi ArabiaDepartment: Business Intelligence / AnalyticsExperience Required: 2+ years (B2B or Retail Industry preferred)Job Summary:We are seeking a skilled and analytical Data Analyst to support business decision-making through data insights. The ideal candidate should be an Arabic-speaking female professional with experience in B2B or retail environments, capable of analyzing data trends, generating reports, and providing actionable recommendations.Key Responsibilities:<ul><li>Collect, clean, and analyze data from multiple sources</li><li>Develop and maintain dashboards and reports for business insights</li><li>Analyze sales performance, customer behavior, and market trends</li><li>Support management with data-driven decision-making</li><li>Identify opportunities for process improvement and revenue growth</li><li>Work closely with sales, marketing, and finance teams</li><li>Ensure data accuracy and integrity across systems</li><li>Prepare weekly/monthly performance reports</li><li>Present findings in a clear and concise manner</li></ul>Key Requirements:<ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Computer Science, or related field</li><li>Minimum 2 years of experience in Data Analysis (B2B or Retail preferred)</li><li>Fluency in Arabic and English (mandatory)</li><li>Strong knowledge of Excel, Power BI, Tableau, or similar tools</li><li>Basic understanding of SQL and databases</li><li>Strong analytical and problem-solving skills</li></ul>Preferred Qualifications:<ul><li>Experience working in Saudi Arabia / GCC market</li><li>Knowledge of ERP/CRM systems</li><li>Understanding of sales and customer analytics</li></ul>Key Competencies:<ul><li>Analytical thinking</li><li>Attention to detail</li><li>Communication &amp; presentation skills</li><li>Business understanding</li><li>Time management</li></ul>Salary &amp; Benefits:<ul><li>Competitive salary (as per market standards)</li><li>Medical insurance</li><li>Annual leave as per Saudi labor law</li><li>Other company benefits</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Your Age?</li><li>Your Location?</li><li>Your current salary?</li><li>Your expected salary?</li></ul>Experience:<ul><li>relevant: 3 years (Preferred)</li></ul>Work Location: In person

Data Analyst (Arabic Preferred)

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The D360 aka Data Cloud specialist team is an innovative group of sellers and GTM specialists at the heart of Salesforce&rsquo;s newest innovation - D360. We are a startup within an extensive organization focused on next-generation of technology at Salesforce. This dedicated team helps Salesforce customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust. This team is at the center of our GTM strategy connecting the dots between the D360 Product team, Product Marketing, Enablement, Customer Success &amp; Support, and Partners Ecosystem to drive growth for D360. It is a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation.
Role Description
The D360 Technical Architect plays a pivotal role in developing innovative solutions for our customers across a variety of industries. You will work closely with Account Executives, Solutions Engineering, Product, and Product Marketing teams to provide deep technical domain expertise during the pre and post-sale process.
Our D360 customers are only as successful as the value they derive from the platform. You will play a key role in ensuring D360 is the right fit, help them prioritize the most valuable D360 use cases, and provide technical architecture best practices to drive product adoption.
You will collaborate with the broader global D360 team to develop use cases, demos, sales plays, and technical thought leadership. You will also have a meaningful role in driving our Product Roadmap forward and serve as a key advisor to the Product organization sharing innovative ideas and feedback from customers
It is important to have a solid technical grasp of the CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI (Generative and Predictive) landscape and the ability to effectively communicate our offerings to potential clients.
Key Responsibilities
<ul><li>Solve Business Problems - Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions.
</li><li>Drive Innovation &amp; Customer Adoption - Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customers prioritize high-value solutions, driving business impact.
</li><li>Connect the &ldquo;Art of the Possible&rdquo; - Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce D360 &amp; Salesforce CRM.
</li><li>Cross Platform Collaboration - You will use your understanding of customers&rsquo; use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI) to develop solutions across the Salesforce's technology stack.
</li><li>Provide Technical Domain Expertise - Answer in-depth D360 questions related to data governance, security, and other technical capabilities. Create architectural diagrams, write technical thought-leadership pieces (blogs, whitepapers, etc.), documentation, enablement materials to help us stay ahead of industry trends and help our customer&rsquo;s implement best practices with D360.
</li></ul>Key Requirements
<ul><li>Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms
</li><li>Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization
</li><li>Understanding &amp; ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360
</li><li>Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment
</li><li>Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products
</li><li>Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc
</li><li>Fluency in Arabic &amp; English
</li></ul>Preferred Requirements
<ul><li>Implementation or Sales Experience in Salesforce D360 and Agentforce
</li><li>Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud, Marketing Cloud or any Industry Clouds
</li><li>Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science
</li><li>Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI.
</li><li>Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform.
</li><li>Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc
</li><li>Familiarity with data activation or &quot;reverse ETL&quot; platforms in the context of Composable Data Platforms (CDP) and integrating various marketing technologies and data tools into a cohesive system.
</li><li>Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Data & AI Architect - KSA

<div>Job Summary
We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li><li>
Build and optimize data workflows using Apache Spark and Apache Airflow.</li><li>
Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li><li>
Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li><li>
Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li><li>
Ensure data quality, governance, security, and regulatory compliance across data platforms.</li><li>
Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li><li>
Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li><li>
Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li><li>
Support regulatory reporting, audit requirements, and data lineage initiatives.</li><li>
Mentor junior engineers and contribute to technical architecture and best practices.</li></ul> 

Requirements 
 
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
4+ years of hands-on experience in Data Engineering.</li><li>
Strong programming skills in Python and advanced SQL.</li><li>
Experience with Apache Spark for large-scale data processing.</li><li>
Experience with Apache Airflow for workflow orchestration and scheduling.</li><li>
Solid understanding of Data Warehouse and Data Lake architectures.</li><li>
Proven experience building and maintaining ETL/ELT pipelines.</li><li>
Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li><li>
Strong knowledge of data modeling techniques and performance optimization strategies.</li><li>
Experience implementing CI/CD pipelines and DataOps methodologies.</li><li>
Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li><li>
Knowledge of financial data governance, security, and compliance standards.</li><li>
Experience with real-time and batch data processing in highly regulated environments.</li><li>
Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>
Experience with data lineage, metadata management, and data quality frameworks.</li></ul></div>

Senior Data Engineer

Explore 510+ Data analytics customer intelligence specialist in Saudi Arabia this June. Find roles across top companies and apply now to boost your career.

510 data analytics customer intelligence specialist jobs In Saudi Arabia

Data Analytics / Customer Intelligence Specialist

Data Analytics / Customer Intelligence Specialist

Data Analysis Specialist (Outsource)

Senior Data Analyst

Data Analyst (Arabic Preferred)

Data & AI Architect - KSA

Senior Data Engineer