Models وظائف في United Arab Emirates
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Models • United Arab Emirates
Analytics Insights Manager Marketing
ADNOC gasUnited Arab EmiratesBIM Modeler Electrical and Mechanical
CEO Engineering ConsultancyUnited Arab EmiratesSenior Machine Learning Engineer, Moderation Automation (Remote)
Gramian Consulting GroupAE- عَرْضٌ مُرَوَّجٌ له
Data Architect - Scalable Data Models & Governance
BlackStone eITUnited Arab EmiratesStructural BIM Modeler
Universal BIMUnited Arab Emirates- عَرْضٌ مُرَوَّجٌ له
Senior Manager - Corporate Risk Analytics
Abu Dhabi Islamic BankUnited Arab Emirates- عَرْضٌ مُرَوَّجٌ له
Machine Learning Operations (ML / Ops) Engineer - Team Lead
BrixioUnited Arab EmiratesCivil 3D Draftsman
Gyrfalcon EngineeringUnited Arab Emirates- عَرْضٌ مُرَوَّجٌ له
Associate Principal Engineer (Data Scientist Gen AI, ML)
NagarroUnited Arab Emirates- عَرْضٌ مُرَوَّجٌ له
- جديد!
Lead Data Scientist / ML Engineer - Remote Role
DISCOVEREDUnited Arab EmiratesBIM ARCHITECTURE MODELOR
CADD EmiratesUnited Arab EmiratesBIM Modeler Mechanical Electrical
Pasyon International TechnologiesUnited Arab EmiratesBIM Architectural Modeler
BimProMaxUnited Arab EmiratesBIM Modeler Engineer Structure
China Railway International GroupUnited Arab Emirates- عَرْضٌ مُرَوَّجٌ له
Director, Model Audit - Hybrid & Growth Leader
GridlinesUnited Arab Emirates- عَرْضٌ مُرَوَّجٌ له
Senior Manager - Corporate Risk Analytics
ADIBUnited Arab EmiratesTekla Designer
Reem Emirates AluminiumUnited Arab EmiratesMechanical BIM Modeler
Das and Partners DAP Engineering ConsultancyUnited Arab EmiratesBIM Modeler
Galaxy Metal Industries LLCUnited Arab EmiratesAnalytics Insights Manager Marketing
ADNOC gasUnited Arab EmiratesKey Responsibilities Analytics and Insights Responsible for providing datadriven insights and strategic recommendations to enhance marketing effectiveness customer engagement and business growth by informing decisionmaking and optimize campaigns across all channels Analyze marketing performance data across channels e g digital social media email and offline campaigns Develop actionable insights to improve customer acquisition retention and engagement strategies Monitor key performance indicators KPIs and report on campaign effectiveness ROI Identify trends opportunities and risks through deepdive analyses Work with marketing teams to optimize campaigns based on datadriven insights Leverage A B testing cohort analysis and predictive modelling to enhance campaign outcomes Build and maintain marketing dashboards for realtime tracking of performance metrics Utilize advanced analytics tools such as SQL Python R Google Analytics BI Involved in ML models operationalization and business value realization Support the development and adoption of predictive analytics AI ML models for mass marketing to optimize test learn across initiatives forecast customer behaviour acquisition conversion models to NFR look alike models MMM model etc Communicate and present complex data and insights in a clear and compelling way to stakeholders using data storytelling and visualization tools Process and Policy Development Support the development of RACI models to clearly define roles and responsibilities with Loyalty Marketing Retail Digital IT and other stakeholders Ensure integration of data analytics functions with overall business objectives Stakeholder Management Collaborate with internal stakeholders including retail business leads IT finance and operations external stakeholders such as advertising agencies media agency marketing analytics agency consumer research etc Serve as the primary point of contact for internal stakeholders for C Store business analytics Qualifications Bachelors degree in Data Science Business Administration Statistics or a related field MBA or equivalent advanced degree preferred 6 years of experience on data and analytics functions preferably in large B2C Marketing organisations or Advertising Media Agencies Strong strategic thinking analytical and problemsolving skills Good communication and interpersonal skills Ability to thrive in a dynamic and fastpaced environment Technical Skills Proficiency in data analytics tools and software e g SQL Dataiku Python R Tableau Power BI Experience with data infrastructure and cloud platforms e g AWS Azure Google Cloud Knowledge of statistical analysis machine learning and data visualization techniques Experience in ML models operationalisation and business value realisation Familiarity with data privacy regulations and best practices Professional Skills Ability to manage multiple projects simultaneously Expertise in data analysis and business intelligence Ability to develop and implement data strategies and roadmaps You will be redirected to the company website to apply for this position