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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)

Farah Experiences

<div>Join Us at Miral Experiences
At Miral Experiences , we don&acirc;&euro;&trade;t just create jobs &acirc;&euro;&rdquo; we create extraordinary moments . As part of the visionary Miral Group , we bring to life some of the world&acirc;&euro;&trade;s most iconic attractions, including Ferrari World Abu Dhabi , Warner Bros. World Abu Dhabi , Yas Waterworld , and SeaWorld Yas Island .
We are passionate about delivering unforgettable guest experiences and shaping the future of leisure and entertainment in the UAE. Our team is made up of innovators, doers, and dreamers who thrive in a dynamic, inclusive, and purpose-driven environment.
If you're looking to be part of something bigger &acirc;&euro;&rdquo; where your work directly contributes to memorable experiences for millions &acirc;&euro;&rdquo; then Miral Experiences is the place for you .
About the Role
Are you a data visionary ready to lead the charge in transforming business decisions through AI and advanced analytics? At Miral, we&acirc;&euro;&trade;re building the future of leisure and entertainment &acirc;&euro;&rdquo; and data is at the heart of it. As our Data Science Senior Manager , you&acirc;&euro;&trade;ll drive high-impact projects, mentor a brilliant team, and deploy cutting-edge solutions in our cloud-first ecosystem.
What You'll Do
<ul><li>Lead end-to-end data science projects &acirc;&euro;&rdquo; from ideation to deployment &acirc;&euro;&rdquo; using ML, causal inference, and time-series analysis.
</li><li>Design and implement models that uncover trends, optimize performance, and unlock new revenue opportunities.
</li><li>Collaborate with business leaders to turn insights into action and shape data-driven strategies.
</li><li>Coach and mentor data scientists, building a culture of innovation and excellence.
</li><li>Work closely with data engineering and intelligence teams to operationalize solutions in Azure and Snowflake.
</li><li>Advocate for smarter data structures and analytics platforms to future-proof our tech stack.
</li></ul>What You Bring
Education &amp; Experience
<ul><li>Master&acirc;&euro;&trade;s in Data Science, Applied Math, or related field (PhD is a plus).
</li><li>8+ years of hands-on experience in data science, analytics, or AI.
</li></ul>Technical Skills
<ul><li>Expert in Python, R, SQL, and distributed databases (Snowflake, HQL).
</li><li>Deep knowledge of ML techniques (clustering, neural nets, decision trees).
</li><li>Proficient in Azure tools: DataBricks, AzureML, ADF, ADLS.
</li><li>Strong grasp of statistical modeling, hypothesis testing, and causal analysis.
</li><li>Familiarity with Agentic AI platforms (n8n, Agent Bricks) is a bonus.
</li></ul>Soft Skills
<ul><li>Strategic thinker with a product mindset.
</li><li>Excellent communicator and cross-functional collaborator.
</li><li>Proven leadership in diverse, agile teams.
</li></ul>Ready to Make an Impact?
If you're passionate about people, service, and creating a workplace where colleagues feel supported and valued &acirc;&euro;&rdquo; we&acirc;&euro;&trade;d love to hear from you. Apply now and take the next step in your career with Miral Experiences &acirc;&euro;&rdquo; where your work helps shape unforgettable moments every day.</div>

Data Science Senior Manager

Walker Lovell

<div>
 
 
 Business Development Analyst
 
 
 
 
 Location:
 
 UAE
 
 
 
 Transform data into decisions that move markets.
 
 
 
 
 
 
 
 Why This Business
 
 
 
 Partner with a globally respected organisation backed by one of the world&rsquo;s leading energy companies &mdash; a business with the scale, stability, and investment power to influence markets worldwide. In this role, you&rsquo;ll sit at the heart of commercial performance, turning numbers into strategy and giving decision-makers the intelligence they need to act with confidence.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 <ul>
 <li>
 Track and interpret key KPIs to maintain clear visibility of commercial performance.
 </li>
 <li>
 Analyse financial, operational, and market data to identify opportunities for optimisation.
 </li>
 <li>
 Produce high-impact reports and presentations for senior leadership using advanced Excel and PowerPoint.
 </li>
 <li>
 Collaborate with Planning, Trade Finance, and Commercial teams to align insights with execution.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring
 
 
 <ul>
 <li>
 Minimum 2 years&rsquo; experience in finance, business analytics, or data-focused roles (in-house preferred).
 </li>
 <li>
 Strong Excel skills and proven ability to manage and interpret complex datasets.
 </li>
 <li>
 Confident communicator able to present insights clearly to senior stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in Finance, Economics, Business Administration, or Engineering.
 </li>
 </ul>
 
 
 
 
 
 Who This Suits
 
 
 
 You&rsquo;re an analytical problem-solver who thrives on translating data into commercially relevant insight. You want visibility, responsibility, and the chance to influence trading and investment decisions in a high-profile, well-backed organisation.
 
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Inclusive package + 2 months&rsquo; salary annual bonus
 </li>
 <li>
 30 days&rsquo; annual leave
 </li>
 <li>
 Medical and life insurance
 </li>
 <li>
 Housing and transportation
 </li>
 <li>
 Relocation package for candidates moving to the UAE
 </li>
 </ul>
 
 
 
 
 
 Apply now for a confidential conversation with Walker Lovell.
 
 
</div>

Market Research Analyst

Confidential

<div>
 
 We are looking for exceptional talent to join our data team. Currently, we have an exciting opportunity for a Data Scientist. We are seeking individuals with deep expertise in data science, a proactive approach, strong collaboration skills, and a passion for cultivating a positive and forward-thinking work environment.
 
 
 
 
 
 ROLES &amp; RESPONSIBILITIES
 
 
 
 
 
 <ul>
 <li>
 Collaborate with IT and data management teams to ensure the accurate and timely collection of data related to all commercial activities within the airport.
 </li>
 <li>
 Develop and implement sophisticated ETL processes integrating diverse data sources.
 </li>
 <li>
 Design and execute complex data models using statistical and machine learning techniques.
 </li>
 <li>
 Lead analytics projects with Azure Data Lake, Azure Databricks, Data Warehouse, and Power BI.
 </li>
 <li>
 Manage, mentor, and grow a team of data scientists and BI developers.
 </li>
 <li>
 Spearhead the integration of advanced analytics into strategic planning, enhancing forecasting accuracy and market response.
 </li>
 <li>
 Collaborate with business units to translate complex data insights into actionable business strategies.
 </li>
 <li>
 Champion the use of data science in identifying new business opportunities and revenue streams.
 </li>
 <li>
 Act as a bridge between the data analytics team and commercial stakeholders, ensuring that data-driven recommendations are actionable and aligned with business objectives.
 </li>
 <li>
 Explore the use of artificial intelligence (AI) and big data solutions to improve the airport&rsquo;s commercial decision-making processes.
 </li>
 <li>
 Stay updated on the latest trends and developments in data analytics and technology to ensure the airport remains at the forefront of innovation
 </li>
 <li>
 Conduct end-to-end data analysis, modelling, and experimentation using Databricks&rsquo; unified data analytics platform.
 </li>
 <li>
 Apply advanced statistical methods, machine learning, and AI algorithms to solve complex business problems.
 </li>
 <li>
 Build and optimize data science models to support business decisions and operational improvements.
 </li>
 <li>
 Collaborate with data engineers to design and maintain efficient data pipelines, ensuring data quality and integrity.
 </li>
 <li>
 Use Databricks for building scalable, distributed data processing workflows and transforming large datasets for analysis.
 </li>
 <li>
 Optimize workflows for big data applications and automate recurring data tasks.
 </li>
 <li>
 Work closely with data engineering, product, and business teams to translate business requirements into data-driven solutions.
 </li>
 <li>
 Lead discussions on best practices and the integration of Databricks for different teams across the organization.
 </li>
 <li>
 Foster a collaborative environment by sharing insights and promoting data science across departments.
 </li>
 <li>
 Design, develop, and implement machine learning models using Databricks to improve decision-making processes.
 </li>
 <li>
 Leverage Databricks' Machine Learning Runtime for tracking, optimizing, and deploying machine learning models.
 </li>
 <li>
 Ensure scalability and performance of models in production, including real-time scoring and retraining.
 </li>
 </ul>
 
 
 
 
 
 Technical skills required
 
 
 <ul>
 <li>
 Natural Language Processing (NLP) deployment
 </li>
 <li>
 Machine Learning (Azure Databricks)
 </li>
 <li>
 ML experiments and training
 </li>
 <li>
 Deployment of production (MLOps)
 </li>
 <li>
 Take end to end ownership of all ML features
 </li>
 <li>
 Recommendation systems
 </li>
 <li>
 AI Software Engineering
 </li>
 </ul>
 
 
 
 
 
 EDUCATION AND EXPERIENCE
 
 
 
 
 
 <ul>
 <li>
 A minimum of 6 years of experience in data science, with advanced proficiency in SQL, Python/R, Azure Databricks, Azure Datafactory and BI tools such as Power BI
 </li>
 <li>
 Strong fundamental knowledge in machine learning, statistical analysis, and predictive modelling.
 </li>
 <li>
 Proficiency in Databricks and Spark for large-scale data processing.
 </li>
 <li>
 Strong experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and SQL.
 </li>
 <li>
 Expertise in Python, Scala, or R for data science tasks.
 </li>
 <li>
 Experience with cloud platforms ( Azure) and Databricks&rsquo; cloud infrastructure.
 </li>
 <li>
 Excellent problem-solving and analytical thinking.
 </li>
 <li>
 Strong collaboration and communication skills.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

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 )

Al Masaood

<div>
 
 We are looking for a detail-oriented and analytical
 
 Data Analyst
 
 to support the marketing team in transforming data into actionable insights that drive strategic decision-making across
 
 Al Masaood Automobiles
 
 &rsquo; business verticals.
 
 
 
 
 
 This role plays a key part in consolidating data from digital platforms, CRM/CDXP systems, and media dashboards to provide clear visibility into marketing performance, ROI, and customer behavior. Working closely with the Senior Digital Marketing Manager, CX team, and Head of Marketing, the Data Analyst ensures accuracy, governance, and consistency in reporting while supporting forecasting, planning, and optimization of marketing investments.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Management &amp; Reporting
 
 
 <ul>
 <li>
 Collect and validate data from sources including Google Analytics, Meta Business Suite, CRM/CDXP, media dashboards, and QlikSense.
 </li>
 <li>
 Maintain daily, weekly, and monthly trackers for key marketing KPIs such as leads, conversions, CPL, CPS, and ROI.
 </li>
 <li>
 Collaborate with CX, IT, and Sales teams to build automated dashboards for executive-level reporting.
 </li>
 <li>
 Ensure accuracy, timeliness, and consistency of all marketing data to support informed decision-making.
 </li>
 </ul>
 
 
 2. Performance Analysis &amp; Insights
 
 
 <ul>
 <li>
 Analyze campaign performance across channels to identify trends, gaps, and opportunities.
 </li>
 <li>
 Deliver actionable insights to optimize media spend, audience targeting, and creative effectiveness.
 </li>
 <li>
 Track customer journeys across touchpoints, identifying drop-off points and recommending improvements.
 </li>
 <li>
 Prepare analytical summaries and post-campaign reports to support strategic planning.
 </li>
 </ul>
 
 
 3. Forecasting &amp; Decision Support
 
 
 <ul>
 <li>
 Develop forecasts and performance projections (e.g., lead-to-sale cycles, seasonal trends, budget utilization).
 </li>
 <li>
 Assess media spend effectiveness and provide optimization recommendations.
 </li>
 <li>
 Support leadership with insight reports and presentations for strategic reviews and planning.
 </li>
 </ul>
 
 
 4. Governance, Accuracy &amp; Compliance
 
 
 <ul>
 <li>
 Conduct regular data audits to ensure integrity across platforms.
 </li>
 <li>
 Standardize reporting templates and methodologies in line with internal SOPs and OEM requirements.
 </li>
 <li>
 Uphold data confidentiality and compliance with company policies and data protection standards.
 </li>
 <li>
 Contribute to the development of governance processes that promote transparency and operational excellence.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Marketing, Business Analytics, Statistics, Computer Science, or a related field. Certifications in Data Analytics, Digital Marketing Analytics, or Business Intelligence is a plus.
 </li>
 <li>
 
 Experience:
 
 3&ndash;5 years in marketing analytics, performance marketing, or data reporting, preferably in agency, automotive, FMCG, or digital sectors.
 </li>
 <li>
 
 Customer Centricity:
 
 Understands customer behavior and translates data into insights that improve experience and conversion.
 </li>
 <li>
 
 Collaboration:
 
 Works effectively with cross-functional teams including marketing, CX, IT, and sales.
 </li>
 <li>
 
 Analytical Thinking:
 
 Applies critical thinking to uncover trends, patterns, and opportunities for optimization.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Proficiency in Google Analytics, Meta Business Suite, CRM/CDXP systems, QlikSense or Power BI.
 </li>
 <li>
 Advanced Excel skills (formulas, pivot tables, dashboards); familiarity with SQL, Google Data Studio, or similar platforms.
 </li>
 <li>
 Experience with campaign tracking, UTM discipline, and data validation.
 </li>
 <li>
 Strong understanding of digital metrics, attribution models, and reporting frameworks.
 </li>
 <li>
 Ability to translate complex data into clear, concise insights for business and executive audiences.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 Be part of a fast-paced, data-driven marketing team that values innovation, strategic thinking, and continuous improvement. If you're passionate about turning numbers into narratives and driving measurable impact &mdash; we&rsquo;d love to hear from you.
 
 
 
</div>

Data Analyst

Explore 934+ Senior data analyst in Abu Dhabi this November. Find roles across top companies and apply now to boost your career.

934 senior data analyst jobs IN Abu Dhabi

Senior Data Scientist (Geospatial AI)

Senior Data Scientist (Geospatial AI)

Data Science Senior Manager

Market Research Analyst

Senior Data Scientist

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

Data Analyst