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senior data analyst

Dimension Real Estate Brokers

Job Opportunity: Data Analyst &mdash; Real Estate CompanyWe are looking for a Data Analyst to join our real estate team. The ideal candidate will be responsible forcollecting, organizing, and analyzing data related to landlords and clients. You will create detailed summariesand maintain accurate records for large datasets to support business decisions.Key Responsibilities:Collect and consolidate data from various sources regarding landlords and clients.Analyze and organize data to create clear and concise reports.Maintain accurate and up-to-date records of all data entries.Provide insights and summaries to assist management in decision-making.Requirements:Strong analytical and data management skills.Proficiency in Excel, Google Sheets, or other data management tools.Attention to detail and accuracy in handling large volumes of data.Prior experience in real estate data analysis is a plus.Job Type: Full-timePay: AED3,000.00 - AED4,000.00 per month

Senior Data Analyst

Asteco

<div>
 
 
 Job Purpose
 
 
 
 The primary purpose of a Data Analyst is to extract meaningful insights from data sets, enabling organizations to make informed decisions. This role involves collecting, organizing, and analyzing large volumes of data to identify trends, patterns, and correlations that drive business strategies, optimize processes, and solve problems. Data Analysts also create reports, visualizations, and dashboards to communicate findings effectively to stakeholders and collaborate with teams such as business development, marketing, and operations to provide analytical support.
 
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 1. Data Collection and Cleaning
 
 
 <ul>
 <li>
 Collect data from various sources (databases, spreadsheets, APIs, etc.).
 </li>
 <li>
 Clean and preprocess data to ensure accuracy, completeness, and consistency.
 </li>
 </ul>
 
 
 
 
 
 2. Data Analysis
 
 
 <ul>
 <li>
 Conduct exploratory data analysis (EDA) to understand data characteristics.
 </li>
 <li>
 Apply statistical techniques and algorithms to extract insights.
 </li>
 <li>
 Identify trends, patterns, correlations, and anomalies.
 </li>
 <li>
 Perform predictive analysis and modeling for forecasting.
 </li>
 </ul>
 
 
 
 
 
 3. Data Visualization and Reporting
 
 
 <ul>
 <li>
 Create charts, graphs, and dashboards to present insights.
 </li>
 <li>
 Design and develop reports for stakeholders.
 </li>
 <li>
 Ensure visualizations are clear, informative, and aligned with business objectives.
 </li>
 </ul>
 
 
 
 
 
 4. Data Interpretation and Recommendations
 
 
 <ul>
 <li>
 Translate analysis results into actionable recommendations.
 </li>
 <li>
 Collaborate with stakeholders to understand needs and provide insights.
 </li>
 <li>
 Support decision-making with relevant data.
 </li>
 </ul>
 
 
 
 
 
 5. Database Management and Querying
 
 
 <ul>
 <li>
 Manage databases ensuring integrity and security.
 </li>
 <li>
 Write SQL queries for data retrieval and manipulation.
 </li>
 <li>
 Optimize database performance.
 </li>
 </ul>
 
 
 
 
 
 6. Continuous Learning and Improvement
 
 
 <ul>
 <li>
 Stay updated with latest tools, technologies, and best practices in data analytics.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a related field (Statistics, Mathematics, Computer Science, Economics, Engineering, or IT).
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 
 3 to 5 years
 
 in data analysis or related roles.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Proficiency in programming languages (Python, R, SQL).
 </li>
 <li>
 Strong knowledge of statistical analysis techniques.
 </li>
 <li>
 Experience with data visualization tools (Tableau, Power BI, matplotlib/seaborn).
 </li>
 </ul>
 
 
</div>

Luxoft

<div><div><h5 class="jobSectionHeader">Project description
</h5>An onsite position for a CRM BA. 
For this role, we need someone who will be directly working with the business, so the soft skills are very important.
</div><div><h5 class="jobSectionHeader">Responsibilities</h5>
<div><div>Key Responsibilities
</div><div>Business Analysis &amp; Requirements Gathering
</div><div>Collaborate with stakeholders from M&amp;A, Human Resources, Enterprise users, etc. to understand and document CRM needs and challenges.
</div><div>Conduct target state design requirement meetings to align Dynamics 365 CRM functionality with business objectives.
</div><div>Translate business requirements into functional specifications, user stories, and acceptance criteria suitable for agile delivery.
</div><div>Solution Design
</div><div>Work with technical teams and vendors to design and configure Dynamics 365 modules and enhancements.
</div><div>Support testing activities, including UAT planning, execution, and defect tracking.
</div><div>Ensure smooth CRM integrations with Outlook, SharePoint, LinkedIn, etc.
</div><div>Stakeholder Communication &amp; Documentation
</div><div>Maintain high-quality documentation including Business Requirements Documents (BRDs), Functional Design Documents (FDDs), and Process Flows.
</div><div>Act as the key liaison between technical teams, vendors, and business units.
</div><div>Deliver user training, demo sessions, and support adoption initiatives across the organization.
</div><div>Data Management &amp; Governance
</div><div>Support EDP team to ensure data accuracy, integrity, and compliance with privacy and governance policies.
</div><div>Lead or support data migration, cleansing, and transformation activities within Dynamics 365.
</div><div>Continuous Improvement &amp; Innovation
</div><div>Analyze CRM usage, user feedback, and KPIs to recommend process and system improvements.
</div><div>Stay up to date with Dynamics 365 updates, releases, and new Microsoft features to drive innovation.
</div></div></div><div><h5 class="jobSectionHeader">Skills</h5>
Must have
<div><div>Bachelor's degree in business administration, Information Systems, or a related field.
</div><div>3-5 years of experience as a Business Analyst with a strong focus on Dynamics 365 CRM modules.
</div><div>Deep understanding of CRM processes including opportunity tracking, and custom workfloes
</div><div>Proven experience documenting requirements and delivering enterprise CRM solutions.
</div><div>Familiarity with Microsoft and Azure ecosystem.
</div><div>Strong analytical, problem-solving, and stakeholder management skills.
</div></div>Nice to have
<div><div>Microsoft Certified: Dynamics 365 Fundamentals (CRM) or Dynamics 365 Functional Consultant.
</div><div>Excellent communication skills and ability to bridge business and technical teams.
</div></div></div><div><h5 class="jobSectionHeader">Other</h5>
<div><div><div>Languages
English: C1 Advanced
</div></div><div><div>Seniority
Senior</div></div></div></div></div>
 <div><div><div>Abu Dhabi, United Arab Emirates
</div>Req. VR-119570
</div><div></div><div><div>Business Analysis
</div><div>BCM Industry
</div><div>16/12/2025
</div><div>Req. VR-119570</div></div></div>

Senior Business Analyst

Elios Talent

<div>
 
 🌟
 
 Senior Data Scientist
 
 🌟
 
 
 
 
 
 📍
 
 Abu Dhabi (UAE-based)
 
 
 
 💼
 
 Contract Role | In-Country Delivery
 
 
 
 🛢️
 
 Energy &bull; Real-Time Well Data &bull; Advanced Modeling
 
 
 
 
 
 
 💡
 
 Job Information
 
 
 
 We&rsquo;re seeking a
 
 Senior Data Scientist
 
 based in the UAE&mdash;preferably Abu Dhabi&mdash;to support real-time well data analysis, model validation, and rapid iteration between In-Country and U.S.-based engineering teams.
 
 
 
 
 
 This role plays a critical part in ensuring that live well data streams are accurately interpreted, model outputs remain reliable, and operational insights are quickly actioned. You will serve as the on-the-ground technical bridge, validating performance, identifying anomalies, tuning parameters, and generating high-quality metrics that accelerate global model improvement cycles.
 
 
 
 
 
 This position requires exceptional analytical thinking, deep domain understanding, and the ability to communicate technical findings clearly across geographically distributed teams.
 
 
 
 
 
 🧭
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Access, analyze, and interpret
 
 live well data
 
 from in-country systems
 </li>
 <li>
 Validate machine learning model outputs and ensure alignment with operational expectations
 </li>
 <li>
 Tune local parameters to optimize predictive performance in field conditions
 </li>
 <li>
 Identify anomalies, data drift, and data quality issues in near real time
 </li>
 <li>
 Generate
 
 high-quality error metrics
 
 and structured evaluation reports
 </li>
 <li>
 Collaborate closely with U.S.-based scientists and engineers to accelerate model iteration
 </li>
 <li>
 Produce clear, thorough technical documentation to support cross-team workflows
 </li>
 <li>
 Communicate findings, concerns, and recommendations with precision and clarity
 </li>
 </ul>
 
 
 
 
 🎯
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 Must be
 
 based in the UAE
 
 (Abu Dhabi strongly preferred)
 </li>
 <li>
 Senior-level experience in data science, ML modeling, or applied analytics
 </li>
 <li>
 Strong understanding of time-series data, anomaly detection, and model validation workflows
 </li>
 <li>
 Experience working with operational or real-time industrial data (energy sector is a plus)
 </li>
 <li>
 Ability to independently evaluate models, tune parameters, and assess data quality
 </li>
 <li>
 Excellent written and verbal communication skills for U.S. and in-country collaboration
 </li>
 <li>
 Detail-oriented, structured, and highly reliable in fast-moving technical environments
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Nabat

<div>
 
 
 Who is Nabat?
 
 
 
 
 
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk.
 
 
 
 
 
 🔹
 
 What is the role?
 
 
 
 
 
 
 We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
 
 Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
 
 .
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 
 🔹 Your responsibilities will include:
 
 
 
 
 
 
 &bull;
 
 Act as senior/staff-level individual contributor
 
 to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 
 
 &bull;
 
 Research, develop, train, validate, refine and deploy models
 
 that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 
 
 Some of the problems you might be working on using satellite and drone imagery:
 
 
 &EmptyVerySmallSquare;️ land use/cover classification
 
 
 &EmptyVerySmallSquare;️ identification of plant native and invasive species
 
 
 &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 
 
 &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 
 
 &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 
 
 &EmptyVerySmallSquare;️ detecting ecosystems at risk
 
 
 &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 
 
 &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 
 
 &bull; In close collaboration with software and data engineers,
 
 design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
 
 for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 
 
 &bull;
 
 Communicate and collaborate cross-functionally
 
 with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 
 
 &bull;
 
 Knowledge transfer from and continuous engagement with researchers
 
 (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 
 
 
 
 
 
 🔹 What are we looking for?
 
 
 
 
 
 
 &bull;
 
 A strong research/academic foundation
 
 with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 
 
 &bull;
 
 Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
 
 , including:
 
 
 &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 
 
 &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 
 
 &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 
 
 &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 
 
 &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 
 
 &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 
 
 &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 
 
 &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 
 
 &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 
 
 &bull;
 
 Builder/entrepreneur mindset
 
 : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 
 
 &bull;
 
 Communication excellence
 
 : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 
 
 &bull;
 
 Bias for action and execution
 
 : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 
 
 &bull;
 
 Problem-solving aptitude
 
 : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 
 
 &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Design, build and shape a product from the ground up
 
 using your unique skills and expertise .
 </li>
 <li>
 
 Work with a truly international and world-class R&amp;D team
 
 both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
 
 https://www.atrc.gov.ae/
 
 ), Technology Innovation Institute (
 
 https://www.tii.ae/
 
 ), and VentureOne (
 
 https://www.ventureone.ae/
 
 ) ecosystem.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
</div>

Senior Data Scientist (Geospatial AI)

ClearPeaks

<div>
 
 ClearPeaks is a specialist consulting firm delivering services and solutions in "Everything Data" - Business Intelligence, Advanced Analytics, Big Data &amp; Cloud, and Web &amp; Mobile Applications. Founded in 2000, we have been a trusted partner to our customers in over 15 industry verticals and functional areas, with operations spanning Europe, Middle East, the United States, and Africa.
 
 
 
 
 
 ClearPeaks is part of a strategic alliance with synvert, a group of six successful full-service Data &amp; Analytics (D&amp;A) consulting firms, with a clear goal to become one of EMEA's largest D&amp;A consulting companies.
 
 
 
 
 
 Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.
 
 
 
 
 
 As a Senior Data Scientist, you will will engage deeply in data exploration, model development, and the implementation of advanced analytics and machine learning solutions. This role is centred on hands-on data manipulation, building predictive models, and generating actionable insights to drive data-informed decisions across the organization.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Data Analysis: Perform comprehensive analysis of structured and unstructured datasets using statistical and exploratory data analysis (EDA) techniques to uncover patterns and insights.
 </li>
 <li>
 Data Cleaning and Transformation: Clean, preprocess, and transform raw data to ensure quality and readiness for analysis and modeling.
 </li>
 <li>
 Feature Engineering: Develop and select relevant features to enhance model performance and predictive capabilities.
 </li>
 <li>
 Machine Learning: Design, implement, and validate machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or similar.
 </li>
 <li>
 Predictive Modeling: Create and refine predictive models to solve business problems, leveraging techniques like regression, classification, clustering, and time-series analysis.
 </li>
 <li>
 Scalable Pipelines: Develop and maintain scalable data pipelines using SQL, NoSQL, and other relevant technologies to handle large datasets efficiently.
 </li>
 <li>
 Model Deployment: Deploy models into production environments using platforms like Dataiku, ensuring seamless integration and performance monitoring.
 </li>
 <li>
 Statistical Analysis: Apply advanced statistical methods to interpret complex data sets and derive meaningful insights.
 </li>
 <li>
 Data Visualization: Create compelling visualizations and dashboards using Power BI to effectively communicate findings to technical and non-technical stakeholders.
 </li>
 <li>
 Data Storytelling: Translate analytical results into clear, actionable narratives that support strategic decision-making.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with product owners and other data professionals to develop analytical data products.
 </li>
 <li>
 Technical Support: Provide support to developed products.
 </li>
 <li>
 Technical Documentation: Maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and knowledge sharing.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Analytics, Mathematics, Information Management, or Statistics. A master&rsquo;s degree is preferred with a focus on Data Science, Machine Learning or a related discipline.
 </li>
 <li>
 Minimum of 8 years in data science, analytics, or a related technical field, with hands-on experience in machine learning and data modeling.
 </li>
 <li>
 Demonstrated success in developing and deploying data science projects in large organizations or complex environments.
 </li>
 <li>
 Programming Languages: Proficiency in Python, R, or similar languages for data analysis and model development.
 </li>
 <li>
 Data Modeling: Strong skills in data modeling with experience in SQL and NoSQL databases.
 </li>
 <li>
 Machine Learning Frameworks: Expertise in frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
 </li>
 <li>
 Data Science Platforms: Experience with Dataiku Data Science platform and familiarity with Microsoft Azure services, including Azure ML Studio and Azure Copilot Studio.
 </li>
 <li>
 Data Visualization: Proficiency in data visualization tools like Power BI, Tableau, or similar platforms
 </li>
 <li>
 Massive Parallel Processing (MPP) Technologies: Familiarity with MPP platforms (e.g., Databricks, Snowflake) is a plus.
 </li>
 <li>
 Version Control: Experience with Microsoft DevOps as version control systems.
 </li>
 <li>
 Data Science Certification from Microsoft and Dataiku (preferred). Additional certifications in machine learning or data analytics are a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our offer to you!
 
 
 
 
 
 <ul>
 <li>
 Be part of an international and talented team, enjoying an excellent work environment where people are passionate about what they do.
 </li>
 <li>
 Possibility to grow inside the team
 </li>
 <li>
 25 vacation days
 </li>
 </ul>
</div>

Concentrix

Trainer/ Quality Analyst - Contact Center ( Bilingual - English/ Arabic ) Join or sign in to find your next job Join to apply for the Trainer/ Quality Analyst - Contact Center ( Bilingual - English/ Arabic ) role at Concentrix Trainer/ Quality Analyst - Contact Center ( Bilingual - English/ Arabic ) Join to apply for the Trainer/ Quality Analyst - Contact Center ( Bilingual - English/ Arabic ) role at ConcentrixGet AI-powered advice on this job and more exclusive features.Job Title: Trainer/ Quality Analyst - Contact Center ( Bilingual - English/ Arabic ) Job Description The Trainer I is responsible for delivering client focused training to address the new hire, product update and recursive training requirement of Concentrix in support of client programs to ensure superior workforce preparation with best in class service and delivery. This position requires attaining and maintaining certification in the Trainer Certification Program (101/102), provides mentoring to Program Ready Trainers, curriculum review and modification as needed, and evaluation of training programs using various feedback methods. Essential Functions/Core Responsibilities <ul><li>Responsible for day-to-day functional direction of agents within the program training classroom environment, including student progress monitoring for the duration of training, providing coaching and developmental feedback and readiness recommendations</li><li>Utilize effective presentation and facilitation skills including creative training techniques and adult/accelerated learning techniques using a variety of training delivery modalities in a classroom environment</li><li>Prepare and present training materials through classroom learning, hands on demonstrations, and supporting activities</li><li>Accountable for achieving individual training performance metrics</li><li>Support and partner with Operations to transition of agents from training to production environment, ensuring competency levels meet business needs (where required)</li><li>Maintain relevant product knowledge for each account by taking calls, attending client and cross functional meetings (as needed), and side by side observations</li><li>Ensure effective, consistent communication with managers, peers, and other resource groups, including day-to-day informal interaction with clients</li><li>May support Instructional Design team in designing and developing training materials for various instructional delivery methods including; computer-based training, interactive, classroom training, and written job aids</li><li>Measure the effectiveness of training programs using various feedback methods - focus groups, interviews, and surveys that will lead to enhancement of training resources and programs based on results of evaluation</li><li>Recommend curriculum modifications to Training Manager/Supervisor on the basis of internal customer feedback and/or Training Needs Analysis</li><li>Participate and contribute to continuous learning culture by maintaining engagement on change management, product and services releases, policies, processes, and procedures </li></ul>Candidate Profile <ul><li>Bachelor's Degree in related field from a four-year college or university with two to four years of relevant experience preferred</li><li>A bilingual English (B2+ level) and native Arabic speaker.</li><li>Proven experience in training methodologies, and soft skills (communication skills, critical thinking, time management, team building, etc.)</li><li>Strong communication skills, both written and verbal</li><li>Proficient in Microsoft Office</li><li>Demonstrated ability to multi-task, prioritize, and meet timelines on deliverable</li><li>Self-starter, sense of urgency, and works well under pressure</li><li>Strong attention to detail</li><li>Sense of professionalism and ability to develop good relationships </li></ul>Career Framework Role Requires knowledge and experience in own discipline; still acquiring higher level knowledge and skills Analyzes possible solutions using standard procedures and principles Builds knowledge of the organization, processes and customers Solves a range of straightforward problems Receives a moderate level of guidance and direction Disclaimer The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel working within this job title. Concentrix is an equal opportunity employer. Concentrix evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability status or any other legally protected characteristic. Location: ARE Abu Dhabi - Building Khaleej Area Language Requirements: Time Type: If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R Seniority level <ul><li> Seniority level Entry level</li></ul> Employment type <ul><li> Employment type Full-time</li></ul> Job function <ul><li> Job function Education and Training</li><li> Industries IT Services and IT Consulting</li></ul>Referrals increase your chances of interviewing at Concentrix by 2x Sign in to set job alerts for "Instructor" roles. 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Trainer/ Quality Analyst - Contact Center ( Bilingual - English/ Arabic )

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Senior Data Scientist (Geospatial AI)

Senior Data Scientist

Trainer/ Quality Analyst - Contact Center ( Bilingual - English/ Arabic )