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data analytics

Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>04/03/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>4-5 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Ar Riyad
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>Job Overview: 
</div><div>
We are looking for a detail-oriented and analytical Data Analytics Engineer with 3+ years of experience in data analysis, reporting, and dashboard development. The ideal candidate should have strong hands-on experience in Power BI, data modeling, SQL, and transforming raw data into meaningful business insights to support decision-making.</div><div></div> 
Key Responsibilities: 
<ul><li>
Develop, maintain, and optimize interactive dashboards and reports in Power BI. 
</li><li>
Gather, analyze, and interpret data from multiple sources to provide actionable insights. 
</li><li>
Design and implement data models, DAX measures, and calculated fields in Power BI. 
</li><li>
Create ETL / data transformation workflows using Power Query and SQL. 
</li><li>
Work closely with business stakeholders to understand reporting requirements and translate them into dashboards. 
</li><li>
Ensure data accuracy, consistency, and integrity across reports and systems. 
</li><li>
Monitor report performance and improve dashboard usability and visualization standards. 
</li><li>
Support ad hoc data analysis requests and generate periodic MIS reports. 
</li><li>
Collaborate with cross-functional teams including IT, business, and operations teams.</li></ul> 
 
<div></div> 
 
<h3 class="jobSectionHeader">Requirements</h3><ul><li>
3+ years of experience in Data Analytics / BI Engineering / Reporting 
</li><li>
Strong expertise in Power BI (Dashboards, DAX, Power Query, Data Modeling) 
</li><li>
Good experience in SQL queries, joins, stored procedures, and data extraction 
</li><li>
Knowledge of Excel (advanced formulas, pivot tables, data analysis) 
</li><li>
Understanding of ETL processes and data warehousing concepts 
</li><li>
Strong analytical and problem-solving skills 
</li><li>
Good communication and stakeholder management skills</li></ul> 
Preferred Skills: 
<ul><li>
Experience with Python / Excel VBA / Tableau is an added advantage 
</li><li>
Exposure to Azure / cloud-based data platforms preferred 
</li><li>
Knowledge of KPI reporting and business intelligence best practices</li></ul></div></div></div>

Data Analytics Engineer

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>
 
 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)

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)

Tamara

<div>
 
 Why Tamara?
 
 
 
 We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn.
 
 
 Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. &amp; There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
 
 
 If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you
 
 
 Apply now and join the next generation of Builders!
 
 
 
 About The Program
 
 
 
 At Tamara, we believe exceptional talent deserves an exceptional launchpad.
 
 
 Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn&rsquo;t a rotational &ldquo;observer&rdquo; program, it&rsquo;s a career accelerator built for those who want to build, own, and raise the bar early.
 
 
 Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You&rsquo;ll contribute immediately and grow at an accelerated pace.
 
 
 From Product to Engineering, Design to Commercial, you&rsquo;ll tackle meaningful challenges that shape how millions experience fintech across the region. You&rsquo;ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
 
 
 Our January and June cohorts are your opportunity to move fast, think big, and start building what&rsquo;s next - not someday, but now.
 
 
 
 About The Role
 
 
 
 We're looking for a fresh graduate or early-career Data Analyst on an analytical engineering path.
 
 
 
 Role
 
 
 
 This role blends the best of data analysis and data engineering. You will help turn raw data into
 
 trustworthy, well-modeled datasets
 
 that:
 
 
 <ul>
 <li>
 make definitions consistent (so "the number" means the same thing everywhere)
 </li>
 <li>
 improve data quality and reliability
 </li>
 <li>
 enable self-serve analytics and AI-assisted insights across teams (not just dashboards)
 
 
 </li>
 </ul>
 You will also help make Tamara&rsquo;s data
 
 AI-ready
 
 by building well-defined datasets, metrics, and documentation that can be safely used by AI tools (and people) across the company.
 
 
 With the advancement of AI, we value people who have strong fundamentals and clear thinking. Understanding data structures, measurement, tradeoffs, and how to validate results matters more than memorizing tools. You'll learn how to use AI responsibly to move faster, while still owning correctness, data quality, and interpretation.
 
 
 You will collaborate with a diverse ecosystem of engineers, product experts, and business to solve real problems that impact our customers and business outcomes.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Model and transform data for analysis
 </li>
 <ul>
 <li>
 Build and maintain clean, reusable datasets (fact and dimension tables) that power reporting and self-serve analytics.
 </li>
 <li>
 Contribute to a scalable metrics layer: define, document, and align business definitions (for example, "active user", "approval rate", "default rate").
 </li>
 </ul>
 <li>
 Support analytics and decision making
 </li>
 <ul>
 <li>
 Answer ad-hoc questions with clear analysis and explainable methodology.
 </li>
 <li>
 Turn common questions into reusable, self-serve assets: dashboards and AI-enabled workflows (a curated dataset + definitions that an AI assistant can query correctly, plus validated example analyses).
 </li>
 <li>
 Create AI-friendly data products (well-defined datasets, metrics, and documentation) that teams can query through AI tools.
 </li>
 </ul>
 <li>
 Enable AI-ready analytics
 </li>
 <ul>
 <li>
 Package datasets and metrics so they can be reliably used by AI tools (clear grain, business definitions, data contracts, examples).
 </li>
 <li>
 Write AI-friendly documentation: glossary, metric definitions, common queries, and pitfalls.
 </li>
 <li>
 Partner with AI and platform teams to ensure critical tables are discoverable, permissioned correctly, and safe to use.
 </li>
 </ul>
 <li>
 Ensure data quality and reliability
 </li>
 <ul>
 <li>
 Write basic tests, checks, and monitoring for key datasets and critical metrics.
 </li>
 <li>
 Troubleshoot data issues and improve reliability from source to reporting.
 </li>
 </ul>
 <li>
 Work effectively with engineering and product
 </li>
 <ul>
 <li>
 Collaborate with data engineers on schema changes, event tracking, and pipeline improvements.
 </li>
 <li>
 Translate ambiguous business questions into measurable analyses, and communicate findings clearly.
 </li>
 </ul>
 <li>
 Use AI tools thoughtfully
 </li>
 <ul>
 <li>
 Use AI to accelerate SQL drafting, code scaffolding, and documentation.
 </li>
 <li>
 Validate AI outputs, document assumptions, and protect sensitive data.
 
 </li>
 </ul>
 </ul>
 
 Your expertise (must have)
 
 
 
 Fresh graduate or &lt; 1 year of relevant experience (internships, projects, or part-time roles count).
 <li>
 Solid SQL fundamentals (joins, aggregations, basic window functions).
 </li>
 <li>
 One programming language for analysis (preferably Python) with basic skills in:
 </li>
 <ul>
 <li>
 Data manipulation (tables/dataframes)
 </li>
 <li>
 Basic statistics (distributions, sampling intuition, confidence basics)
 </li>
 </ul>
 <li>
 Strong analytical thinking:
 </li>
 <ul>
 <li>
 Ability to define a problem, form hypotheses, validate data, and explain results.
 </li>
 </ul>
 <li>
 Strong attention to detail and commitment to accurate, reliable outputs.
 </li>
 <li>
 Ability to work effectively in a team-oriented environment.
 
 </li>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Exposure to data modeling concepts (star schema, slowly changing dimensions, metrics definition).
 </li>
 <li>
 Familiarity with modern analytics stacks (dbt, BigQuery, Snowflake, Looker, PowerBI, Tableau) through coursework or projects.
 </li>
 <li>
 Experience creating AI-ready data assets (clean semantic layers, metric definitions, data contracts, documentation, and evaluation or sanity-check checklists) is a plus.
 </li>
 <li>
 Experience using AI assistants responsibly to accelerate analysis or analytics engineering work (for example, SQL drafting, code scaffolding, documentation).
 </li>
 <li>
 Experience with version control (Git) or basic software engineering practices.
 </li>
 <li>
 Understanding of event tracking and product analytics (funnels, cohorts, retention).
 </li>
 <li>
 Knowledge of responsible data handling (PII basics, access controls, safe sharing).
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 You can independently produce a well-structured analysis with clear assumptions and validation steps.
 </li>
 <li>
 You contribute at least one reliable dataset or transformation that becomes a shared building block for analytics.
 </li>
 <li>
 Stakeholders can answer more questions with self-serve and AI-assisted exploration, with less back-and-forth.
 </li>
 <li>
 A key dataset or metric you built becomes usable through AI tools with consistent answers (validated against a source-of-truth definition).
 </li>
 <li>
 You can spot when results look off, debug quickly, and explain the root cause.
 </li>
 </ul>
</div>

Associate Data Analyst - Builders Program

Confidential Semi-Government

<div>
 
 We are seeking a Data Scientist | Machine Learning &amp; Threat Detection to build machine learning models that enhance our threat detection capabilities.
 
 
 
 Role Overview:
 
 Advanced analytics role leveraging big data to identify anomalous behaviors and predict emerging threats.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop machine learning models for anomaly detection.
 </li>
 <li>
 Process and analyze massive datasets from SIEM and threat intelligence feeds.
 </li>
 <li>
 Collaborate with security analysts to automate complex threat hunting tasks.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Mathematics, or Computer Science.
 </li>
 <li>
 5+ years in data science within a cybersecurity context.
 </li>
 <li>
 Certified Analytics Professional certification.
 </li>
 </ul>
 
 
</div>

Data Scientist | Machine Learning & Threat Detection

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

Explore 373+ Data analytics in Saudi Arabia this June. Find roles across top companies and apply now to boost your career.