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MA'ADEN

<div>Job Purpose
<ul><li><div>The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
</div></li><li><div>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</div></li><li><div>Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow 
</div></li></ul>Key Accountabilities:
1. Lead End-to-End Data Science Delivery
<ul><li>Developing, implementing and maintaining databases and data collection systems
</li><li>Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</li><li>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li><div>Ensuring data security and compliance with relevant regulations
</div></li><li><div>Drive experimentation, model versioning, automated retraining, and continuous improvement. 
</div></li></ul><div></div>2. Translate Business Needs into AI/Analytics Solutions
<ul><li><div>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</div></li><li><div>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</div></li><li><div>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams. 
</div></li></ul>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
<ul><li>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</li><li>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</li>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements 
<li>
</li></ul>4. Responsible AI, Quality &amp; Governance
<ul><li>Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments 
<li>
</li></ul>5. Stakeholder Management &amp; Value Realization
<ul><li>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
</li>Track value realization, adoption metrics, and operational impact to ensure measurable benefit. 
<li>
</li></ul>Minimum Qualification, Experience and Core Competencies:
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields. 
</li></ul>Minimum Experience: 
 
 
<ul><li><div>Minimum Experience:
</div></li><li><div>8 &ndash; 10 years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
</div></li><li><div>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</div></li><li><div>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch , Azure, AWS) &ndash; Microsoft AI Factory
</div></li><li><div>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams. 
</div></li><li> 
Machine Learning &amp; Advanced Analytics
<ul><li>Hands-on experience developing and deploying machine learning models , including time-series forecasting, predictive modeling, and optimization use cases
</li><li>Strong understanding of model performance, validation, stability, and business impact
</li></ul></li><li>Generative AI &amp; AI Agents
<ul><li>Practical experience with Generative AI solutions , including copilots, intelligent automation, and agent-based workflows
</li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
Good to Have Capabilities
</li></ul></li><li>Data Engineering (IT + OT)
<ul><li>Experience designing and maintaining data pipelines across IT and OT environments
</li><li>Exposure to sensor data, streaming / real-time data processing , and industrial data sources
</li><li>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
</li></ul></li><li>MLOps / AgentOps
<ul><li>Experience in model deployment and lifecycle management , including:
<ul><li>Transition from model development to production and scale
</li><li>Monitoring, retraining, versioning, and drift management
</li></ul></li><li>Familiarity with automation and operationalization of ML/AI workloads
 
 
Preferred Experience &amp; Platforms
</li></ul></li><li>Cloud &amp; Analytics Platforms
<ul><li>Experience working with enterprise cloud platforms, preferably:
<ul><li>Microsoft Azure Data Platform
</li><li>Databricks AI Platform
</li><li>Microsoft AI Foundry / Microsoft AI Factory
</li></ul></li>Understanding of cloud-native architectures for scalable analytics and AI solutions 
<li>
</li></ul></li></ul><div></div>Core Competencies:
<ul><li>Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
</li><li>Adoption &amp; Business Impact: Value realized, user adoption, integration success.
</li><li>Delivery Velocity: Timeliness of development cycles and deployment readiness.
</li><li>Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.</li></ul></div>

Principal Specialist, Data Science & Analytics

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

<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

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build:
In this role, you'll turn data into decisions by identifying high-value business problems, framing them analytically, and delivering models and insights that improve customer outcomes and product performance. You'll work across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning, while partnering closely with product, engineering, sales, operations, or finance stakeholders. Your work will not stop at model accuracy: you'll define success metrics, quantify impact, translate findings into business actions, and help teams prioritize based on value, risk, and feasibility. You&rsquo;ll also contribute to AI-driven analytics using NLP, embeddings, and LLM-assisted workflows for summarization, classification, knowledge extraction, and decision support. The role requires someone who can connect business context with rigorous analysis, explain trade-offs clearly, and influence roadmap decisions with evidence.
What you bring:<ul><li>
Strong command of Python and SQL for data extraction, statistical analysis, feature engineering, model development, and analytical automation</li><li>
You have a deep understanding of statistics and probability, including hypothesis testing, experiment design, A/B testing, regression, causal thinking, and interpreting uncertainty</li><li>
You have hands-on experience with a range of machine learning techniques, such as classification, forecasting, clustering, recommendation systems, anomaly detection, and propensity modeling</li><li>
You are skilled at framing business problems into measurable analytical questions, defining success metrics, and connecting model outputs to commercial or operational decisions</li><li>
You excel at building clear data narratives through dashboards, visualizations, presentations, and concise executive communication</li><li>
You demonstrate practical expertise in feature selection, model validation, error analysis, bias identification, and balancing trade-offs between accuracy and usability</li><li>
You have exposure to modern AI approaches, including NLP, generative AI, and LLM-assisted analytics (e.g., semantic search, text classification, summarization, prompt-based analysis)</li><li>
You are experienced with modern analytics and data platforms, such as notebooks, BI tools, cloud data warehouses, Spark, and large-scale data processing environments</li><li>
You have a strong understanding of data quality, lineage, governance, and the discipline required to produce trustworthy and reusable analyses</li></ul>
About You<ul><li>
6+ years of data science experience</li><li>
You are curious and bring a structured approach to problem-solving, with the ability to break down complex challenges into clear, actionable steps</li><li>
You are a strong collaborator who enjoys working cross-functionally and influencing decisions through data</li><li>
You are motivated by driving real-world impact, ensuring your analyses and models lead to measurable business outcomes</li><li>
You continuously seek to learn and stay current with evolving data science and AI trends</li></ul>
Where you belong:
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters.This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy, not just produce analysis. We value sharp thinking, business curiosity, and clear communication.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450223 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Data Science Expert

PulseMediaNL

<div>
 PulseMediaNL is seeking a detail-oriented and analytical AI Data Analyst (Remote) to join our remote team. This role is essential in analyzing data, generating insights, supporting AI-driven initiatives, and helping improve business performance through data interpretation and reporting in a fully remote environment.
 
 
 
 Responsibilities
 
 
 
 
 Data Analysis &amp; Reporting
 
 
 
 Collect, analyze, and interpret data from various sources to support business decisions
 
 
 Prepare reports, dashboards, and visualizations to communicate key insights
 
 
 Monitor trends, patterns, and performance metrics to identify opportunities for improvement
 
 
 Assist in maintaining accurate datasets and reporting structures
 
 
 
 ﻿AI &amp; Data Support
 
 
 
 Support AI-related initiatives through data preparation, validation, and analysis
 
 
 Assist with organizing and managing structured and unstructured data
 
 
 Collaborate with internal teams to support data-driven projects and automation efforts
 
 
 Help identify opportunities to improve processes using analytical insights and AI tools
 
 
 
 ﻿Data Management &amp; Quality Assurance
 
 
 
 Ensure data accuracy, integrity, and consistency across systems and reports
 
 
 Identify and resolve discrepancies or inconsistencies in datasets
 
 
 Maintain organized records, databases, and analytical documentation
 
 
 Follow established procedures for data handling, privacy, and reporting standards
 
 
 
 ﻿Collaboration &amp; Process Improvement
 
 
 
 Work closely with operations, support, and management teams to provide analytical support
 
 
 Contribute insights that improve workflows, reporting, and operational efficiency
 
 
 Assist with documenting processes, methodologies, and reporting practices
 
 
 Support continuous improvement initiatives across data and reporting operations
 
 
 
 Requirements
 
 
 
 
 About the Ideal Candidate
 
 
 
 1&ndash;3 years of experience in data analysis, reporting, or a similar analytical role
 
 
 Strong analytical and problem-solving skills
 
 
 Excellent attention to detail and organizational abilities
 
 
 Ability to interpret data and communicate findings clearly
 
 
 Basic understanding of AI tools, automation, or data-driven technologies is a plus
 
 
 Strong written and verbal communication skills
 
 
 Ability to manage multiple priorities effectively in a remote environment
 
 
 Familiarity with spreadsheets, reporting tools, or data visualization platforms is a plus
 
 
 Basic proficiency in Microsoft Office Suite, particularly Excel or similar tools
 
 
 High school diploma or equivalent required; additional education in analytics, business, technology, or a related field is a plus
 
 
 
 ﻿What We Offer
 
 
 
 Meaningful contribution through data analysis and AI-driven support initiatives
 
 
 Remote-first flexibility to support work-life balance
 
 
 Opportunities for professional growth and technical skill development
 
 
 Collaborative and supportive team environment
 
 
 
 Competitive Compensation Aligned With Experience
 
 
 
 Long-term stability within a growing and innovation-focused organization
 
 
 
 ﻿Diversity &amp; Inclusion
 
 
 
 We are committed to fostering a diverse, equitable, and inclusive workplace where everyone feels valued, respected, and empowered to contribute. All qualified applicants are encouraged to apply.
</div>

AI Data Analyst (Remote)

LeadingEdge HR Solutions

<div>
 
 Job Title: Data Analyst - NBFI Data Standardization
 
 
 
 
 Location: Riyadh, Saudi Arabia
 
 
 
 
 Job Type: Full-time
 
 
 
 
 Job Summary
 
 
 
 Our client is seeking a detail-oriented Data Analyst-NBFI Data Standardization to join their team in Riyadh and help transform raw, inconsistent datasets from multiple Non-Banking Financial Institutions (NBFIs) into clean, standardized, and actionable datasets. This role focuses on hands-on data cleaning, structuring, and validation
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Ingest large, unstructured datasets from multiple NBFI sources (Excel, CSV, APIs, DBs)
 </li>
 <li>
 Clean &amp; standardize data formats, schemas, and definitions across datasets
 </li>
 <li>
 Build simple, scalable transformation pipelines using *SQL + Python (Pandas)*
 </li>
 <li>
 Create clean, analysis-ready datasets + basic reporting views for stakeholders
 </li>
 <li>
 Document data definitions, assumptions, and lineage for auditability
 </li>
 <li>
 Collaborate with NBFI teams to clarify data inconsistencies and validate outputs
 
 
 
 </li>
 </ul>
 Must-Haves
 
 
 <ul>
 <li>
 SQL mastery (complex queries, joins, aggregations)
 </li>
 <li>
 Python (Pandas) for data wrangling
 </li>
 <li>
 Experience working with *messy, real-world datasets*
 </li>
 <li>
 Attention to detail in data cleaning and validation
 </li>
 <li>
 Basic understanding of *financial datasets* (lending, portfolios, risk metrics)
 </li>
 <li>
 Communication skills to work with technical + non-technical stakeholders
 
 </li>
 </ul>
</div>

Data Analyst-- NBFI Data Standardization

Muller's Solutions

<div>M&uuml;ller's Solutions is seeking a skilled Oracle Data Modeler Specialist for a part-time, 3-month contract role. In this position, you will be responsible for designing and maintaining Oracle data models that support our business intelligence and data management initiatives. You will collaborate closely with business analysts, database administrators, and developers to ensure that the data architecture aligns with business requirements and best practices.
Responsibilities:<ul><li><ul><li>Install and configure Oracle SQL Developer Data Modeler</li><li>Establish connectivity with Oracle databases and data warehouse systems</li><li>Develop and maintain conceptual, logical, and physical data models</li><li>Support data model standardization and naming conventions</li><li>Reverse-engineer existing schemas and align with target data architecture</li><li>Collaborate with data engineering teams for model implementation</li><li>Ensure models support reporting, analytics, and governance use cases</li></ul></li></ul> 

Requirements 
Requirements:<ul><li><ul><li>3+ years in data modeling and database design</li><li>Strong expertise in Oracle Database, SQL, and data warehousing concepts</li><li>Hands-on experience with Oracle Data Modeler (or equivalent tools)</li><li>Understanding of dimensional modeling (star/snowflake), normalization techniques</li><li>Experience working in enterprise data environments</li></ul></li></ul> 

Benefits 
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Oracle Data Modeler Specialist - Part Time (3 Month)

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