data analytics specialist

MA'ADEN

<div>Job Purpose
The Principal Specialist, BU Data Domain is the owner of a specific Business Unit data domain, accountable for the semantic integrity, governance, quality, and fitness‑for‑purpose of all data products produced from that domain.
The role ensures that BU data and relevent digital initiative is transformed into trusted, governed, and reusable data products aligned with enterprise standards, while still reflecting the operational and decision‑making realities of the Business Unit. This position acts as the single point of accountability for domain definitions, KPIs, ownership, and data quality outcomes.
The Principal Specialist represents the domain in enterprise data forums, aligns with cross‑domain standards, and ensures the BU&rsquo;s data products integrate cleanly into enterprise reporting, analytics, and control frameworks. 
 Key Accountabilities
<div><ul><li>Act as the domain authority for all data entities, KPIs, and concepts within the assigned mining Business Unit domain.
</li></ul><ul><li>Participate in enterprise design and governance forums to align domain needs with cross‑domain and platform standards.
</li></ul><ul><li>Ensure domain data reflects actual business processes, operational constraints, and regulatory requirements.
</li></ul><ul><li>Work closely with data engineering and platform teams to ensure domain data products are implemented as designed.
</li></ul><ul><li>Act as the primary data representative for the Business Unit, engaging senior stakeholders on data definitions, KPIs, and data‑driven decisions.
</li></ul><ul><li>Translate BU needs into structured domain requirements that can be delivered consistently.
</li></ul><ul><li>Advocate for domain priorities while aligning with enterprise direction.
</li></ul><ul><li>Adapt enterprise standards to BU context without breaking consistency.
</li></ul></div>Minimum Qualification, Experience and Competencies
Minimum Qualification 
<ul><li>Bachelor&rsquo;s degree in Business, Engineering, Information Systems, Data Management, or related discipline
</li><li>Master&rsquo;s degree or equivalent domain experience is an advantage 
</li></ul>Minimum Experience
<ul><li>10+ years of experience within a Business Unit domain, data, analytics, or enterprise information management
</li><li>Demonstrated experience owning domain definitions, KPIs, and data quality outcomes
</li><li>Proven ability to influence senior business and technical stakeholders without direct authority
</li></ul>Skills:
<ul><li>Domain‑driven data ownership and KPI definition
</li><li>Data governance and stewardship operating models
</li><li>Data quality management and remediation leadership
</li><li>Strong business&ndash;technical translation capability
</li><li>Ability to align local domain needs with enterprise standards</li></ul></div>

Principal Specialist, BU Data Domain

MCG Talent

<div>
 
 
 We are seeking a data-driven professional to join our client's team as a Data Analyst. Previous experience working in FS/Fintech is crucial in order to be considered.
 
 
 
 
 
 
 The ideal candidate will possess a strong understanding of data and be able to leverage data analytics to optimize our campaigns and strategies. You will be responsible for collecting, analyzing, and interpreting data to inform decision-making and drive results.
 
 
 
 
 
 Previous experience working in SG is preferred with trading/brokerage experience a +.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement data-driven strategies to measure and analyze campaigns.
 </li>
 <li>
 Collect and analyze data from various sources (social media, media monitoring, website analytics, etc.).
 </li>
 <li>
 Identify key performance indicators (KPIs) and develop reporting dashboards.
 </li>
 <li>
 Provide actionable insights to the team to inform decision-making.
 </li>
 <li>
 Utilize data analytics tools to uncover trends and patterns in audience behavior.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data insights into overall business strategy.
 </li>
 </ul>
 
 
 
 
 
 The Ideal Candidate:
 
 
 <ul>
 <li>
 Strong analytical skills and ability to translate data into actionable insights.
 </li>
 <li>
 Experience in using data analytics tools and platforms.
 </li>
 <li>
 Understanding of digital marketing and social media analytics.
 </li>
 </ul>
 
 
</div>

Data Analyst

Friksta Technologies

Step into a high-impact role where your insights drive real business decisions. At Friksta Technologies, you&rsquo;ll work with modern tools, meaningful datasets, and a collaborative team in a fast-growing tech environment. If you enjoy solving problems with data and want strong career growth, this is your opportunity.Salary, Benefits &amp; Perks<ul><li>Competitive salary: (based on experience)</li><li>Performance-based bonuses</li><li>Flexible work arrangements (hybrid/remote options where applicable)</li><li>Paid annual leave + public holidays</li><li>Health insurance coverage</li><li>Learning &amp; development support (courses, certifications)</li><li>Career advancement opportunities in a growing company</li></ul>Work Schedule<ul><li>Full-time role (40&ndash;48 hours/week depending on policy)</li><li>Sunday&ndash;Thursday (standard KSA workweek)</li><li>Flexible hours based on team/project needs</li></ul>Key Responsibilities<ul><li>Analyze large datasets to uncover trends and actionable insights</li><li>Build dashboards, reports, and visualizations for stakeholders</li><li>Monitor business performance and key metrics</li><li>Clean, validate, and maintain data accuracy</li><li>Collaborate with product, tech, and business teams</li><li>Support decision-making with data-driven recommendations</li><li>Identify risks, anomalies, and growth opportunities</li></ul>Most In-Demand Skills (Highly Searched)<ul><li>SQL (data extraction &amp; querying)</li><li>Advanced Excel / Google Sheets</li><li>Data visualization tools (Power BI, Tableau)</li><li>Python or R for data analysis</li><li>Data cleaning &amp; preprocessing</li><li>Statistical analysis &amp; reporting</li><li>Business intelligence &amp; dashboards</li><li>Strong analytical thinking &amp; problem-solving</li><li>Clear communication &amp; data storytelling</li></ul>Preferred Qualifications<ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Computer Science, Finance, or related field</li><li>1&ndash;3+ years of experience in data analysis or similar role</li><li>Familiarity with business, fintech, or digital platforms is a plus</li><li>Ability to work independently and collaboratively</li></ul>About the CompanyFriksta Technologies is an innovative technology-driven company focused on delivering smart digital solutions. The company leverages data, analytics, and modern systems to help businesses improve performance, efficiency, and decision-making.Why Work With Us<ul><li>Work in a fast-growing tech environment with real impact</li><li>Gain hands-on experience with modern data tools and technologies</li><li>Be part of a supportive, inclusive, and collaborative team</li><li>Access learning opportunities and career growth pathways</li><li>Contribute to meaningful projects that shape business outcomes</li></ul>Ready to Apply?If you&rsquo;re passionate about turning data into insights and want to grow your career in analytics, we encourage you to apply.Apply now and start your journey with Friksta Technologies!نوع الوظيفة: دوام كامل, دائمالراتب المدفوع: ﷼٤٢٠٫٠٠&nbsp;لكل ساعةموقع العمل: بشكل شخصي

Data Analysts

Discovered MENA

<div>
 
 💻 Staff Data Scientist (Business Analytics)
 
 
 📍 Remote
 
 
 
 
 
 We&rsquo;re hiring a
 
 Staff Data Scientist (Business Analytics)
 
 to lead strategic analytics and causal measurement for high-impact growth initiatives.
 
 
 
 
 
 In this role, you&rsquo;ll build the frameworks that guide leadership decisions&mdash;forecasting outcomes, sizing opportunities, measuring ROI, and uncovering true incrementality across the business. You&rsquo;ll work closely with senior stakeholders to ensure resources are directed toward the highest-value opportunities.
 
 
 
 
 
 This is a senior individual contributor role for someone who combines deep statistical expertise with strong business judgment and the ability to communicate insights clearly.
 
 
 
 
 
 🔍 What You&rsquo;ll Do
 
 <ul>
 <li>
 Design and maintain forecasting models for revenue, GMV, merchant growth, and other key drivers
 </li>
 <li>
 Lead opportunity sizing across new products, pricing strategies, and market expansion efforts
 </li>
 <li>
 Develop causal measurement frameworks (e.g., synthetic control, diff-in-diff, geo-experiments) to evaluate true business impact
 </li>
 <li>
 Build a scalable measurement playbook covering incrementality, attribution, and counterfactual analysis
 </li>
 <li>
 Create segmentation and scoring models to drive prioritisation across sales, marketing, and merchant success
 </li>
 <li>
 Define and evolve decision-grade metrics and KPIs with Finance, Product, and Commercial teams
 </li>
 <li>
 Translate complex analyses into clear, actionable insights for senior leadership
 </li>
 <li>
 Mentor and elevate analytical rigor across the data science team
 </li>
 </ul>
 
 
 
 
 ✅ What I'm Looking For
 
 <ul>
 <li>
 7+ years of experience in data science, product analytics, or applied statistics within a tech environment
 </li>
 <li>
 Strong experience designing, running, and analysing large-scale A/B experiments (including pitfalls like SRM, peeking, and novelty effects)
 </li>
 <li>
 Deep understanding of event tracking and analytics instrumentation best practices
 </li>
 <li>
 Advanced proficiency in SQL and Python (pandas, scipy, statsmodels, etc.)
 </li>
 <li>
 Solid grounding in statistics: hypothesis testing, power analysis, causal inference, and experimentation design
 </li>
 <li>
 Experience defining product health, guardrail, and north-star metrics
 </li>
 <li>
 Proven ability to translate data into strategic recommendations
 </li>
 <li>
 Strong communication skills with experience influencing senior stakeholders
 </li>
 </ul>
 
 
 
 
 🌟 Bonus points if you:
 
 <ul>
 <li>
 Are fluent in Arabic language
 </li>
 <li>
 Based in Saudi Arabia (Jeddah or Makkah preferred)
 </li>
 <li>
 Experience in e-commerce, marketplaces, or SaaS environments
 </li>
 <li>
 Familiarity with experimentation tools (Eppo, Statsig, LaunchDarkly, Optimizely)
 </li>
 <li>
 Experience with BI tools (Looker, Metabase) and modern data stacks (dbt, ClickHouse, BigQuery)
 </li>
 <li>
 Knowledge of Bayesian methods, sequential testing, or bandit algorithms
 </li>
 <li>
 Experience working in the GCC region
 </li>
 </ul>
 
 
</div>

Staff Data Scientist 📍 Remote

<div>About Maaden
Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia&rsquo;s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.
Job purpose
The Lead Specialist, Data Lakehouse II delivers, operates, and optimizes lakehouse platform capabilities to support scalable ingestion, storage, processing, and governed consumption of enterprise data. The role ensures the lakehouse enables reliable analytics and reporting by applying standard patterns for data layers, performance tuning, security, and cost management.
The position works closely with platform engineering, data engineering, and governance teams to embed controls, ensure operational excellence, and support delivery teams with reference architectures and implementation guidance.
Key Accountabilities
<div><ul><li>Implement and enhance lakehouse architecture patterns (ingestion, raw/curated layers, data products) ensuring scalability, maintainability, and reuse.
</li></ul><ul><li>Optimize performance of compute and storage through partitioning, file formats, indexing, caching, and workload management; ensure SLAs for priority use cases.
</li></ul><ul><li>Embed governance-by-design by integrating security, access controls, classification handling, and auditability into platform patterns.
</li></ul><ul><li>Support ingestion and transformation pipelines by providing platform guidance on orchestration, reliability patterns, and error handling.
</li></ul><ul><li>Define and maintain operational monitoring (health checks, pipeline observability, capacity, costs) and drive incident/problem management improvements.
</li></ul><ul><li>Collaborate with data modeling and governance teams to ensure metadata, lineage, and data quality controls are systematically applied to lakehouse assets.
</li></ul><ul><li>Provide technical leadership to specialists and vendors; perform design reviews and enforce platform standards across delivery initiatives.
</li></ul>Contribute to platform roadmap and continuous improvement, evaluating new features and recommending adoption aligned to enterprise needs. 
<ul><li>
</li></ul></div>Minimum Qualification, Experience and Competencies
Minimum Qualification
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or related field.
</li></ul>Minimum Experience
<ul><li>7&ndash;10 years of experience in data engineering and modern data platforms with hands-on lakehouse experience.
</li>Experience operating production platforms with reliability, security, and cost optimization responsibilities. 
<li>
</li></ul>Maaden High Performance Competencies
<ul><li>Ownership &amp; Accountability &ndash; Takes end-to-end ownership for delivery and outcomes.
</li><li>Collaboration &ndash; Works effectively across engineering, governance, and business teams.
</li><li>Execution Excellence &ndash; Delivers robust solutions with strong quality and reliability.
</li><li>Continuous Improvement &ndash; Improves performance, cost, and operability over time.
</li><li>Impact &amp; Influence &ndash; Guides teams and vendors through technical leadership.
</li></ul>Skills
<ul><li>Hands-on experience with lakehouse architectures, data processing engines, and cloud storage/compute optimization.
</li><li>Strong understanding of data governance, security, and access control requirements as applied to platforms.
</li><li>Operational excellence: monitoring, incident management, root-cause analysis, and continuous improvement.
</li><li>Ability to create reference architectures and support multiple delivery teams effectively.
</li><li>Strong communication and stakeholder management across engineering, governance, and consumers.</li></ul></div>

Lead Specialist, Data Lakehouse II

NeoMatrix Technologies

<div>
 
 
 We @NeoMatrix Technologies, are Hiring: Data Privacy Specialist | Riyadh 🇸🇦
 
 
 
 Are you a Privacy professional ready to take the next step? We are looking for a
 
 Data Privacy Specialist
 
 (3&ndash;5 years exp.) to help us shape and implement our data protection framework in the heart of Riyadh.
 
 
 This isn't just about ticking boxes&mdash;it's about building a culture of privacy. You will work across teams to ensure we are leading the way in
 
 PDPL and GDPR
 
 compliance.
 
 
 
 What you&rsquo;ll be doing:
 
 
 <ul>
 <li>
 Taking ownership of Privacy Impact Assessments (PIAs) and DPIAs.
 </li>
 <li>
 Turning complex regulations into clear, actionable policies.
 </li>
 <li>
 Managing data flows and mapping our privacy landscape.
 </li>
 <li>
 Being the "go-to" person for privacy incidents and vendor reviews.
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 3&ndash;5 years of hands-on experience in GRC or Data Privacy.
 </li>
 <li>
 Deep knowledge of the
 
 Saudi PDPL
 
 and global standards like GDPR.
 </li>
 <li>
 Certifications like CIPP/E, CIPM, or CDPSE are a huge plus.
 </li>
 <li>
 
 Arabic language fluency is a must.
 
 </li>
 <li>
 
 Priority will be given to Saudi nationals.
 
 </li>
 </ul>
 
 
 Important The Details:
 
 
 
 &nbsp;📍
 
 Location
 
 : Riyadh,
 
 
 
 KSA ⏳ Type
 
 : 2-Year Contract
 
 
 
 Number of Candidates
 
 :11
 
 
 
 Job Post Reference
 
 : 2026011 (must qoute this reference number)
 
 
 
 Send your CV to
 
 : PDPL.Project@neomatrix.tech
 
</div>

Data Privacy Specialist - Arabic Speaking is a must

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

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