marketing specialist

senior data engineer

[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

account management specialist Jobs in Riyadh

account management specialist

associate data analyst - builders program Jobs in Riyadh

data analytics 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>

Almosafer

<div>
 
 
 About the Company:
 
 
 
 At Almosafer Travel &amp; Tourism Co, we&rsquo;re not just part of the travel industry, we&rsquo;re helping shape its future.
 
 
 As Saudi Arabia&rsquo;s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.
 
 
 Rooted in our name &ldquo;Almosafer,&rdquo; meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.
 
 
 
 
 
 We&rsquo;re united by a bold vision:
 
 
 To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.
 
 
 Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Analyst to join our Data Intelligence team and drive data projects to support our Finance team. In this role, you will work closely with the Business and Finance to identify opportunities for data-driven insights and deliver actionable recommendations.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Management &amp; Reporting:
 
 
 <ul>
 <li>
 Manage data across various platforms, including SAP HANA, ensuring accuracy, reliability, and timeliness.
 </li>
 <li>
 Prepare financial reports and dashboards, summarizing key financial metrics.
 </li>
 <li>
 These reports may include budget vs. actual analysis, profitability reports, and other relevant financial data.
 </li>
 </ul>
 
 
 Analytics &amp; Business Intelligence:
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to understand their data needs and provide insights.
 </li>
 <li>
 Leverage data to drive strategic business decisions, and design deploy appropriate analytical solutions.
 </li>
 <li>
 Query databases, conduct analyses, develop data models, and manage large data sets to generate actionable insights to key stakeholders.
 </li>
 </ul>
 
 
 Collaboration &amp; Communication:
 
 
 <ul>
 <li>
 Engage with both technical and non-technical stakeholders, presenting findings, and making recommendations tailored to the audiences understanding.
 </li>
 </ul>
 
 
 Optimize Data Workflows:
 
 
 <ul>
 <li>
 Work on improving existing data pipelines and workflows, ensuring data integrity, and efficient retrieval and processing.
 </li>
 <li>
 Create detailed documentation of analysis procedures, data pipelines, and report protocols to ensure continuity and ease of reference for current and future projects.
 </li>
 </ul>
 
 
 
 
 
 Profile Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science or a related field.
 </li>
 <li>
 Preferably 2+ years of experience in data engineering or analytics, with hands-on exposure to SAP HANA.
 </li>
 <li>
 Strong skills in SQL and familiarity with platforms like Hive and the AWS tech stack, including AWS Athena as well as Tableau desktop.
 </li>
 <li>
 Demonstrated understanding of finance principles and accounting practices.
 </li>
 <li>
 Understanding of business operations and the ability to translate complex data into actionable insights.
 </li>
 <li>
 Analytical mindset strong problem-solving skills with an attention to detail, and the capability to work both independently and collaboratively.
 </li>
 <li>
 Willingness to learn and adapt to new tools, platforms, and methodologies as the business and technological landscape evolves.
 </li>
 <li>
 Previous experience with SAP reporting and analytics will be a distinct advantage.
 </li>
 <li>
 Ability to present findings clearly and concisely to stakeholders at various levels within the organization.
 </li>
 <li>
 Fluent in English, and fluency in Arabic is an advantage.
 </li>
 </ul>
 
 
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way. Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.
 
 
 
 
 
 Here, you will find:
 
 
 A purpose-led workplace where your ideas can create real impact
 
 
 Ongoing learning and development to help you grow with intention
 
 
 Recognition that celebrates your wins, both big and small
 
 
 A community built on trust, curiosity, and shared momentum
 
 
 
 
 
 No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.
 
</div>

Specialist - Finance Data Intelligence

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Data Scientist I position would have an interest in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, Anti-Money Laundering (AML) initiatives, and emerging Generative AI technologies. As a Data Scientist I, you will support the development of analytical and AI-driven solutions to help detect and prevent fraudulent activities and mitigate AML risks under close guidance.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Support the development of fraud detection, AML, and Generative AI use cases.
 </li>
 <li>
 Assist in building and testing ML and GenAI models (e.g., prompt engineering, RAG pipelines).
 </li>
 <li>
 Prepare, clean, and analyze structured and unstructured data.
 </li>
 <li>
 Support the training, evaluation, and deployment of ML models.
 </li>
 <li>
 Assist with experimentation using LLMs for tasks such as document analysis, alert summarization, or data enrichment.
 </li>
 <li>
 Execute assigned tasks within project plans under supervision.
 </li>
 <li>
 Stay informed about industry trends related to fraud, AML, and Generative AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in data science or analytics.
 </li>
 <li>
 Basic understanding of ML concepts and exposure to Generative AI or LLMs.
 </li>
 <li>
 Proficiency in SQL and Python.
 </li>
 <li>
 Experience with data extraction, cleaning, and basic visualization.
 </li>
 <li>
 Familiarity with model evaluation and feature engineering concepts.
 </li>
 <li>
 Proficiency in English; Arabic is a plus.
 </li>
 <li>
 Strong problem-solving skills, attention to detail, and eagerness to learn.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Scientist I

atmaal

<div>
 
 Counter Fraud &ndash; Data Quality Specialist
 
 
 
 
 
 We are looking for a highly analytical and detail oriented professional to join our Fraud Risk team as a Counter Fraud &ndash; Data Quality Specialist.
 
 
 
 
 
 The role focuses on ensuring the accuracy, completeness, and reliability of fraud related data to strengthen fraud detection, prevention, and regulatory reporting capabilities in alignment with SAMA requirements.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Manage and monitor fraud data quality including validation, deduplication, and completeness checks
 
 
 &bull; Design and maintain fraud data frameworks and data flows
 
 
 &bull; Conduct advanced fraud analytics to identify trends, anomalies, and root causes
 
 
 &bull; Support fraud detection systems through rule tuning, scenario testing, and data enrichment
 
 
 &bull; Coordinate with Data Management teams to maintain fraud data lakes and ensure continuous data flow
 
 
 &bull; Prepare internal and external regulatory fraud reports
 
 
 &bull; Support cross functional initiatives related to fraud risk and data governance
 
 
 
 
 
 Requirements:
 
 
 &bull; Bachelor&rsquo;s degree in Computer Science, MIS, CIS, or related field
 
 
 &bull; Strong SQL and data analysis skills (Python is a plus)
 
 
 &bull; Knowledge of fraud detection systems and Data Lake environments such as SAS
 
 
 &bull; Understanding of fraud typologies and digital banking risks
 
 
 &bull; Strong analytical, communication, and problem solving skills
 
 
 &bull; Fluent in English
 
</div>

Data Quality Analyst

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 The Principal Specialist, Engineering and ETL (OT) provides enterprise leadership for OT data engineering, enabling reliable ingestion, transformation, and availability of operational data for analytics, operations, and performance management. The role defines OT pipeline standards and assures that OT data is delivered with quality, lineage, security, and appropriate latency across sites.
 
 
 This position is responsible for defining scalable patterns for integrating historians and industrial systems into enterprise platforms, guiding teams through complex OT constraints, and ensuring operational data products are sustainable and governed.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Define OT data engineering and ETL standards, patterns, and reference architectures covering batch, streaming, and near-real-time ingestion needs.
 </li>
 <li>
 Establish ingestion patterns for historians and OT source systems, including normalization, unit standardization, quality flags, and tag mapping processes.
 </li>
 <li>
 Design and assure robust pipeline reliability (idempotency, backfill, late-arriving data handling, reconciliation, alerting) appropriate for OT contexts.
 </li>
 <li>
 Ensure OT pipelines comply with security and segmentation requirements; partner with OT cyber and platform security teams for governance-by-design.
 </li>
 <li>
 Oversee and guide OT data transformation logic to produce curated OT data products aligned to enterprise models and governance requirements.
 </li>
 <li>
 Provide architectural oversight for site onboarding, handling variability across plants and ensuring consistent delivery standards across implementations.
 </li>
 <li>
 Review and assure vendor and internal deliverables; provide technical direction and quality gates for complex OT engineering initiatives.
 </li>
 <li>
 Drive continuous improvement through performance tuning, cost optimization, observability, and operational resilience improvements for OT workloads.
 
 
 </li>
 </ul>
 
 Minimum Qualification, Experience And Competencies
 
 
 
 
 Minimum Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science/Engineering, Data Engineering, Industrial Engineering, or related field.
 </li>
 <li>
 Master&rsquo;s degree preferred; OT systems exposure is an advantage.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 <ul>
 <li>
 10&ndash;15 years of experience in data engineering/ETL with demonstrated exposure to OT/industrial data environments.
 </li>
 <li>
 Experience designing ingestion from historians/OT systems and delivering analytics-ready OT datasets at enterprise scale.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Strong OT data engineering expertise including ingestion from historians, handling time-series characteristics, and ensuring data quality.
 </li>
 <li>
 Ability to design scalable, secure OT-to-IT data pipelines with governance, lineage, and auditability.
 </li>
 <li>
 Advanced pipeline engineering practices (reliability, observability, orchestration, performance tuning).
 </li>
 <li>
 Stakeholder leadership across plant operations, OT engineering, IT, and analytics consumers.
 </li>
 <li>
 Vendor assurance and technical governance for complex multi-site delivery programs.
 </li>
 </ul>
</div>

Principal Specialist, Engineering and ETL (OT)

Capitex

<div>A specialist FCC advisory firm is hiring a Director to lead and scale its Financial Crime Advisory practice in the Kingdom of Saudi Arabia, with secondary reach across the wider GCC. This is a senior, client-facing, revenue-generating position at the intersection of regulatory expertise, hands-on delivery, and entrepreneurial business development.
You will be an independent, commercially astute practitioner with a proven track record of winning and delivering significant FCC mandates for banks and financial institutions in the GCC. The role is a 50/50 split between business development and project delivery, with full ownership of practice growth, client outcomes, and team building.
What You'll Do
Business Development &amp; Practice Growth (50%)<ul><li>
Own the end-to-end BD lifecycle for FCC advisory services across KSA, with visibility across the wider GCC.</li><li>
Build and expand relationships with C-suite, CCOs, MLROs, and senior compliance leaders at local and international banks, payment firms, and financial institutions.</li><li>
Originate, pursue, and close new advisory mandates across the full FCC spectrum: gap assessments, AML/CFT programme reviews, sanctions and transaction monitoring (TM) model validation, KYC/CDD/EDD remediation, financial crime risk assessments, monitorships/Skilled Persons Reviews, and technology selection and implementation.</li><li>
Develop compelling proposals, presentations, and thought leadership aligned to SAMA, CBUAE, and FATF priorities.</li><li>
Build and commercialise differentiated FCC advisory solutions, including digital and technology-enabled propositions.</li><li>
Achieve and exceed annual revenue targets of USD 1m+ from managed accounts.</li><li>
Represent the firm at industry forums, conferences, and regulatory engagement events.</li></ul>
Project Delivery &amp; Quality Assurance (50%)<ul><li>
Lead delivery of complex, multi-workstream FCC engagements across KSA and the GCC &mdash; on time, on budget, on quality.</li><li>
Serve as senior engagement lead and SME across core FCC domains (see below).</li><li>
Provide hands-on expert guidance on selection, implementation, and tuning of leading sanctions screening and TM platforms (Fircosoft/Accuity, SAS AML, Actimize, Oracle FCCM, and similar).</li><li>
Review and quality-assure all deliverables prior to client submission.</li><li>
Mentor and develop junior and mid-level team members.</li></ul>
Core FCC Domains (Senior Engagement Lead)<ul><li>
Gap assessments against SAMA, CBUAE, FATF, and internal standards</li><li>
AML/CFT programme design, remediation, and framework transformation</li><li>
Sanctions and TM model validation (methodology, parameters, thresholds, output quality)</li><li>
Sanctions and TM system tuning and optimisation</li><li>
KYC/CDD/EDD remediation and look-back programmes</li><li>
Monitorship / Skilled Persons Review (SPR) support</li><li>
Enterprise-wide, product, channel, and customer-segment financial crime risk assessments</li><li>
Regulatory examination readiness and response</li></ul>
Team Building &amp; Leadership<ul><li>
Recruit, build, and manage a high-performing FCC advisory team in KSA.</li><li>
Set clear performance expectations and development pathways.</li><li>
Foster an inclusive, accountable, high-energy culture aligned to the firm's values and ethical standards.</li></ul> 

Requirements 
What You'll Bring
Experience (all mandatory unless stated)
Requirement
Minimum Threshold
Total professional experience
15+ years
FCC advisory / consulting experience
10+ years
FCC advisory sales / BD (selling to banks)
5+ years
FCC project execution
10+ years
GCC market experience
Must have worked with local GCC banks
Team building and management
Must have built and managed a team
Client account management
USD 1m+ revenue per annum from managed accounts
Firm background
Big 4 / Tier 1 consulting / specialist advisory (preferred)
Technical &amp; Domain Expertise
Deep, hands-on expertise required across:<ul><li>
Gap assessments &mdash; AML/CFT, sanctions, anti-bribery, against SAMA, CBUAE, FATF, and global standards</li><li>
Sanctions and TM model validation &mdash; methodology design, parameter testing, threshold calibration, output quality review, model risk governance</li><li>
Sanctions and TM system tuning and optimisation &mdash; alert reduction, false-positive management, scenario coverage</li><li>
KYC/CDD/EDD remediation &mdash; remediation frameworks, look-back design, file review, risk-based segmentation</li><li>
Monitorship / Skilled Persons Review delivery</li><li>
Financial Crime Risk Assessments &mdash; enterprise-wide, product, channel, customer, and geographic</li><li>
AML/CFT programme design and implementation &mdash; governance, policy, procedures, controls architecture</li><li>
Regulatory examination readiness and response</li></ul>
Technology &amp; Systems (hands-on experience required)<ul><li>
Sanctions screening: Fircosoft (Accuity), Oracle Financial Services, and similar &mdash; selection, implementation, configuration, tuning</li><li>
Transaction monitoring: SAS AML, NICE Actimize, Oracle FCCM, Temenos FCM, FIS MANTAS, and similar</li><li>
Mandatory: hands-on involvement in at least one full system selection and one implementation/configuration engagement</li></ul>
Regulatory Knowledge (deep working knowledge)<ul><li>
KSA: SAMA AML/CFT Framework, Rules Governing AML/CFT, Sanctions Rules, CDD Requirements</li><li>
UAE: CBUAE AML/CFT Regulations, SCA Requirements, UAE Cabinet Decisions on AML/CFT</li><li>
Wider GCC: CBB (Bahrain), CBK (Kuwait), CBO (Oman), QCB (Qatar) &mdash; working familiarity</li><li>
FATF: 40 Recommendations, Mutual Evaluation Reports (KSA, UAE), Guidance Papers</li><li>
Global: EU AML Directives, OFAC, UK Sanctions, Wolfsberg Principles</li></ul>
Digital, Innovation &amp; Data Science<ul><li>
Must have built and taken to market at least one differentiated digital or technology-enabled FCC advisory solution.</li><li>
Strong understanding of how RegTech, AI/ML, and automation are reshaping financial crime risk management.</li><li>
Familiarity with data science concepts and tools (Python preferred) applied to FCC analytics: network analysis, transaction analytics, model performance testing, alert optimisation.</li><li>
Able to articulate, demo, and sell data-driven FCC solutions to C-suite and technical buyers.</li></ul></div>

Financial Crime Consulting Director - Riyadh

Explore 276+ Data analytics specialist in Riyadh this June. Find roles across top companies and apply now to boost your career.

276 data analytics specialist jobs In Riyadh

Data Analytics / Customer Intelligence Specialist

Data Analytics / Customer Intelligence Specialist

Specialist - Finance Data Intelligence

Data Scientist I

Data Quality Analyst

Principal Specialist, Engineering and ETL (OT)

Financial Crime Consulting Director - Riyadh