Creative Brand Art Director

Role overview The Director of Artificial Intelligence & Data Analytics at AHS Properties will provide leadership for a team of data scientists and AI specialists. This role sets the vision and direction for projects that integrate advanced AI and analytics into real estate operations, shaping how technology supports the company's goals. What you will do Lead and mentor a team dedicated to AI and data analytics projects Oversee initiatives that use AI to address real estate challenges Promote the use of new technologies throughout the organization Location This position is located in Dubai, United Arab Emirates.

Join Delivery Hero as a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will leverage advanced analytical skills to drive innovative solutions that enhance our delivery services. Collaborate with cross-functional teams to develop algorithms and models that improve operational efficiency and customer satisfaction.

About Us: At Huda Beauty, we envision a beauty industry that empowers individuals to define, create, and celebrate their own beauty. Founded by the acclaimed beauty entrepreneur Huda Kattan in 2013, Huda Beauty has swiftly risen to become one of the globe's most dynamic beauty brands. Our mission is driven by a commitment to purpose over profits, allowing us to innovate uniquely through our products, content, and community engagement. While we've evolved since our inception, our unwavering dedication to excellence and kindness remains at the heart of Huda Beauty.Position Overview: We are on the lookout for a skilled Assistant Analytics Manager to produce top-tier Power BI reporting and analytical solutions that facilitate strategic business decisions. This vital role acts as a liaison between business stakeholders and analytics delivery, translating their needs into scalable solutions within the Microsoft Azure and Databricks ecosystems.The ideal candidate will possess over 5 years of analytics experience, strong SQL skills, exceptional stakeholder engagement abilities, and a proven track record in designing impactful, clear dashboards that drive data-informed results.Key Responsibilities:Power BI Reporting & Visualization: Create, develop, and sustain Power BI dashboards and reports that convert complex datasets into clear, actionable insights.Optimize data models using DAX and Power Query, ensuring performance, scalability, and precision.Implement best practices in data visualization, user experience design, and KPI standardization.Oversee the entire Power BI report lifecycle, including enhancements, performance tuning, and governance.Data Analysis & Preparation: Examine extensive and intricate datasets to identify trends, insights, and business opportunities.Prepare, transform, and validate data using SQL and Databricks (Spark SQL / PySpark).Ensure data quality, consistency, and reconciliation across various sources.Work closely with data engineering teams to establish metrics, semantic models, and data structures.Azure & Microsoft Data Stack: Engage thoroughly with Databricks, Azure Data Lake, Azure Synapse, and Power BI Service.Utilize the broader Microsoft stack, including Azure SQL, SQL Server, and Excel, for analysis and validation.Support data governance, security, and access management within Azure and Power BI environments.Business Partnership & Stakeholder Management: Serve as a trusted analytics partner to stakeholders across various departments (Finance, Supply Chain, Marketing, eCommerce, etc.).

About KAYALIKAYALI, founded in 2018 by renowned beauty entrepreneur Mona Kattan, embodies the essence of modern fragrance culture. The name 'KAYALI' translates to 'my imagination' in Arabic, reflecting our commitment to crafting unique scent experiences inspired by Mona’s rich Middle Eastern heritage. Each fragrance is a luxurious journey, meticulously blended with the finest ingredients and crafted by celebrated perfumers, allowing you to express your mood and share the ritual of scent with others. Our VisionAt KAYALI, we aspire to empower individuals to embrace their unique beauty through the transformative power of scent. Our mission is to foster a global community of fragrance enthusiasts by offering innovative, luxurious fragrances and sharing the cherished Middle Eastern traditions of scent. Role OverviewWe are excited to introduce a new opportunity for a Business Intelligence Engineer who will leverage data warehousing expertise across platforms such as Azure Data Bricks and Power BI. This role is integral to supporting, implementing, and maintaining data warehouse pipelines and reporting systems that enhance business processes. Key Responsibilities:Data Platform & ArchitectureOversee a scalable modern data platform utilizing the Azure ecosystem, including Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage.Design and implement Lakehouse architecture employing Medallion patterns (Bronze, Silver, Gold) paired with Delta Lake to ensure data integrity, scalability, and high performance.Utilize advanced data modeling techniques (dimensional modeling, star/snowflake schemas) to support both operational and analytical requirements.Data Engineering & PipelinesDevelop and maintain high-performance data pipelines using cloud-native technologies (Databricks, PySpark, Lakehouse Workflows) for the ingestion, transformation, and curation of large datasets.Identify and resolve intricate data discrepancies within multi-stage ETL/ELT pipelines, focusing on root cause analysis and data optimization.Create and refine comprehensive data integration frameworks, including data ingestion from various sources such as relational databases, flat files, and third-party REST APIs.Troubleshoot complex data pipeline issues, performance bottlenecks, and data inconsistencies.

About EasygeneratorEasygenerator is an innovative EdTech company dedicated to transforming the learning landscape through our acclaimed authoring tool. Trusted by industry leaders such as Kellogg’s, T-Mobile, and Siemens, we empower organizations to enhance knowledge sharing with a focus on speed, simplicity, and effectiveness.As an AI-first organization, we leverage the latest advancements in artificial intelligence across our product offerings and operational practices. Join us to gain hands-on experience with AI technology and cultivate a skillset that prepares you for the future while contributing to a dynamic, impactful product.About the RoleIn the position of Head of Insights, you will spearhead our product analytics and user research initiatives. Your main objective will be to extract profound strategic insights from data that will guide product decisions, shape our development roadmap, and enhance learner success. This role is a hands-on leadership position where you will mentor a talented analytics team and collaborate closely with product managers, designers, and engineers.Key ResponsibilitiesLead and nurture our product analytics team, ensuring the delivery of significant, actionable insights.Collaborate with cross-functional teams to cultivate a data-centric culture, establish success metrics, and develop measurement strategies.Convert data and user research findings into compelling narratives that effectively influence stakeholders.Develop and manage dashboards, KPIs, and data infrastructure for self-service and strategic analytics.Design and assess experiments and causal analyses that inform product strategy and decisions.Establish and uphold a standard tracking and event taxonomy across the product suite.Identify new avenues for data utilization.Forecast trends, analyze complex data, and communicate actionable insights to stakeholders.Oversee the user research function, embedding customer insights throughout the product development lifecycle.Create scalable processes for insight delivery, balancing immediate needs with long-term learning objectives.Mentor and develop talent in analytics and research disciplines.Promote a culture of analytics, enhancing literacy across departments and advocating for robust data governance.Champion data-informed decision-making organization-wide.

Job Title: Lead Data Scientist / Expert in Data Insights.Roles and Responsibilities:Demonstrated proficiency in Business Intelligence tools, particularly Tableau and MicroStrategy, ensuring a continuous flow of actionable data.Strong understanding of the transformative impact of data analytics on business operations, highlighting its advantages.Innovate by developing decision analytics solutions utilizing advanced methodologies and techniques.Design user-friendly processes and reporting models that empower business units to access and manage their data in real-time.Oversee engagement methodologies to ensure compliance, mitigate risks, and maintain the highest quality standards, collaborating with teams to implement necessary adjustments.

About SFORS SFORS stands out in the global financial markets for its proprietary trading and leadership in pre-market activity. With more than 20 years in the stock market, the firm’s track record is built on talent development, advanced trading technology, strong risk management, and innovative strategies. SFORS operates solely with proprietary funds, focusing on internal growth and long-term sustainability. Role Overview: Data Analyst The Data Analyst will turn complex data into clear, actionable insights that shape business strategy. This role partners with stakeholders to define key performance indicators, build accessible dashboards, and deliver analysis that drives strategic decisions. The analyst helps connect detailed data sets with business needs, ensuring data stories are both accurate and engaging. Main Responsibilities Analyze data to spot trends, anomalies, and areas for growth. Design and maintain automated Business Intelligence dashboards that provide real-time KPI insights. Translate business questions into technical requirements and present findings to non-technical stakeholders. Work with the Data Engineering team to validate data quality and support data model verification. Location This position is based in Dubai, United Arab Emirates.

Data Management • Identify and evaluate valuable data sources while automating data collection processes. • Prepare datasets for modeling applications. • Conduct preprocessing of both structured and unstructured data. • Analyze extensive datasets to uncover trends and insights. • Utilize data visualization techniques to effectively present information.Business Acumen • Strong understanding of retail banking products, particularly in the credit card sector.Model Development and Management • Create and refine credit risk models tailored for retail portfolios (e.g., credit decisioning, PD, LGD, EAD, IFRS9), ensuring adherence to internal and regulatory standards. • Validate that model outputs are suitable for daily business operations, underwriting decisions, and risk appetite strategies. • Continually enhance models based on user feedback, regulatory requirements, and ongoing performance assessments. • Collaborate closely with the Enterprise Risk Management (ERM) team for stress testing and ICAAP submissions.Model Monitoring and Implementation: • Ensure models remain precise, dependable, and compliant with regulatory standards. • Conduct user acceptance testing to guarantee proper implementation of models within the operational systems. • Address ad-hoc portfolio analysis requests promptly. • Consistently realign models to monitor performance, offering ongoing guidance for retail portfolio lending activities.• Develop, implement, and oversee risk models for the retail lending portfolio. • Support the team in achieving efficient delivery of requirements set forth by management and external regulators.

Join webook, a leading company in the advertising industry, as an Advertising Data & Insights Manager. In this pivotal role, you will leverage data analytics to drive insights that shape our advertising strategies and enhance our clients' campaigns. You will be responsible for analyzing market trends, consumer behavior, and advertising performance to provide actionable recommendations.

Join Roland Berger as a Reward & People Analytics Specialist in Dubai, where you will leverage your expertise to drive insights that enhance employee satisfaction and optimize reward systems. Your role will involve analyzing data to inform strategic decisions, collaborating with cross-functional teams, and contributing to innovative solutions. If you are passionate about people analytics and reward systems, this is the perfect opportunity to make a significant impact in a dynamic environment.

Join Huda Beauty as a Senior Manager of Social Media Analytics, where you will lead our efforts to leverage social media insights to drive brand engagement and growth. You will be responsible for analyzing performance metrics, developing strategies based on data, and collaborating with marketing teams to enhance our social media presence. Your expertise will guide decision-making processes, ensuring our brand resonates with our audience and aligns with our business objectives.

Job Title: Transaction Monitoring Analytics Consultant (Contract)Location: Dubai, UAE Engagement Type: Contract (Consulting Assignment) Industry: Banking / Financial ServicesOverviewJoin our dynamic team as a Transaction Monitoring Analytics Consultant and play a pivotal role in supporting a distinguished bank in Dubai with a critical financial crime compliance initiative. Your expertise will be instrumental in enhancing and optimizing transaction monitoring systems, aimed at bolstering detection capabilities, mitigating false positives, and ensuring adherence to regulatory standards. You'll be at the forefront of financial crime prevention, fine-tuning signals, and ensuring that no suspicious activities go unnoticed.Key ResponsibilitiesDesign, enhance, and optimize transaction monitoring scenarios and rules across AML systems.Perform threshold tuning and calibration to achieve a balance between detection efficiency and false positive rates.Conduct model validation and performance assessments of transaction monitoring frameworks.Analyze extensive datasets to uncover trends, typologies, and gaps in existing monitoring controls.Assist in the development and implementation of new detection scenarios in response to emerging risks and regulatory expectations.Collaborate with compliance, technology, and data teams to ensure seamless system integration and deployment.Document methodologies, assumptions, and validation results in compliance with regulatory standards.Provide insights and recommendations to enhance the overall financial crime risk management frameworks.Key RequirementsDemonstrated experience in transaction monitoring, AML analytics, or financial crime consulting.Strong practical knowledge of transaction monitoring systems (e.g., Actimize, Fircosoft, SAS AML, or similar).Experience in model validation, scenario design, and threshold optimization.Proficiency in data analysis tools (SQL, Python, SAS, or similar).Thorough understanding of AML regulations and typologies, preferably within banking environments.Aptitude for translating complex analytical findings into actionable business insights.Strong stakeholder management and communication skills.Preferred QualificationsExperience collaborating with Middle East banking clients or regulators.Familiarity with risk-based approaches and regulatory expectations in the UAE.Background in consulting or project-based environments.

As the Vice President of Risk Analytics, you will play a pivotal role in the development, enhancement, and execution of advanced modeling methodologies, including stress testing, IFRS9, and capital management for our wholesale portfolio.Key Responsibilities:Model Development, Monitoring, and Implementation:• Lead the performance, upkeep, and refinement of wholesale risk models throughout various portfolio life cycles, including IFRS9 models, Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and stress testing.• Ensure models are accurate, reliable, and compliant with all regulatory mandates.• Continuously realign models to track performance, providing ongoing guidance for all lending activities concerning wholesale portfolios.• Review and assess the bank’s wholesale risk to identify opportunities for model improvements and process enhancements, recommending changes to senior management and implementing cutting-edge techniques for optimal decision-making tools.• Oversee the correct implementation of models while supporting their use, interpretation, and ongoing monitoring.• Create and maintain a comprehensive model inventory ensuring compliance with model governance policies.• Collaborate closely with the Enterprise Risk Management (ERM) team for stress testing and Internal Capital Adequacy Assessment Process (ICAAP) submissions.• Stay informed on updates to IFRS9 standards and requirements, implementing necessary changes to models and methodologies.Team Management:• Lead a dedicated team of model developers, ensuring their output meets the highest standards of accuracy, timeliness, and quality.Stakeholder Management:• Assist business, risk, finance, and audit departments with model-related inquiries, providing essential information and analyses.• Work alongside stakeholders to support Expected Credit Loss (ECL) calculations and validation of IFRS9 reporting.• Aid the model validation team with amendments, validation, and verification tasks.• Liaise with business functions, credit approval, collections, and other related areas to drive model usage, monitor overrides, analyze new requirements, and gather feedback on existing models.Core Responsibilities:• Rigorously analyze databases for risk modeling, further developing them while ensuring quality assurance.• Create wholesale models in alignment with external guidance and standards, overseeing recalibration until all components align.• Facilitate the implementation of models.• Identify process changes impacting credit risk models, offering expert support to adapt accordingly.

Join us as the Associate Vice President of MarTech & Digital Analytics, where you will lead the charge in our digital transformation journey. Your role will center around driving innovation, elevating customer experiences, and achieving tangible business outcomes through effective marketing technology and data analytics strategies.Key Responsibilities:Develop and implement a forward-looking digital strategy that aligns with the bank’s growth goals, utilizing MarTech and analytics to enhance digital acceleration.Lead the assessment, implementation, and optimization of Marketing Technology platforms to ensure they integrate seamlessly with marketing efforts.Oversee the complete digital analytics function—gathering, interpreting, and converting data into actionable insights that inform marketing campaigns and improve user experiences.Manage the bank’s website operations, ensuring CMS governance, effective workflow management, and prompt content updates to facilitate a smooth digital experience.Employ tools such as Google Analytics to derive insights and enhance campaign and website performance through data-driven approaches.Create and sustain interactive dashboards and visualizations using Power BI and Looker Studio to track KPIs and drive strategic decisions.Direct the marketing of the bank’s mobile app using AppsFlyer—onboarding partners, generating insights, and optimizing app performance.Collaborate with SEO agencies and internal teams to enhance the bank’s digital presence across web and local search platforms.Ensure precise campaign tracking and data integrity by managing tag deployment and UTM implementation through Google Tag Manager.

About Vortexa:Vortexa is at the forefront of revolutionizing the energy sector by bridging the substantial information gap present in the industry. Utilizing vast satellite data and cutting-edge artificial intelligence, we provide an unparalleled view of global seaborne energy movements in real-time, enhancing transparency and efficiency across energy markets.With a presence in major cities including London, New York, Houston, Singapore, Geneva, and Dubai, we are committed to developing a comprehensive platform for energy and freight analytics worldwide, supported by prominent investors such as Morgan Stanley and Notion Capital.Your Role:We are looking for a motivated and dynamic Account Manager to join our expanding commercial team in Dubai. This pivotal role within our Account Management team involves close collaboration with our global partners to refine client engagement and foster growth in client relationships.As an Account Manager, you will be responsible for expanding a portfolio of clients, managing both Gross Revenue Retention (GRR) and Net Revenue Retention (NRR), while serving as the key commercial point of contact. You will work in tandem with Sales, Customer Success Managers, and Solution Architects to ensure exceptional client experiences and stimulate long-term account growth. This hands-on position requires direct client interaction to build trusted relationships, identify opportunities, and maximize value.The ideal candidate is a self-motivated individual who excels in challenging situations, demonstrating resourcefulness and a positive problem-solving approach in a fast-paced, evolving scale-up environment.

Job Title: Data Engineer (PySpark)________________________________________About the RoleWe are in search of a talented Data Engineer with significant expertise in PySpark and the Cloudera Data Platform (CDP) to bolster our data engineering team. In this role, you will be tasked with the design, development, and maintenance of scalable data pipelines that guarantee high data quality and availability across the organization. A robust background in big data ecosystems, cloud-native tools, and advanced data processing techniques is essential.The right candidate will possess hands-on experience in data ingestion, transformation, and optimization within the Cloudera Data Platform, along with a solid history of implementing data engineering best practices. Collaboration with fellow data engineers will be key to creating solutions that yield impactful business insights.ResponsibilitiesDesign, develop, and sustain highly scalable and optimized ETL pipelines utilizing PySpark on the Cloudera Data Platform, ensuring data integrity and precision.Oversee data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.Employ PySpark to process, cleanse, and transform extensive datasets into actionable formats that fulfill analytical needs and business objectives.Optimize performance by tuning PySpark code and Cloudera components to enhance resource utilization and minimize ETL runtimes.Establish data quality checks, monitoring, and validation protocols to uphold data accuracy and reliability throughout the pipeline.Automate data workflows utilizing tools such as Apache Oozie, Airflow, or comparable orchestration tools within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and related data processes.Collaborate closely with other data engineers, analysts, product managers, and other stakeholders to comprehend data requirements and support various data-driven initiatives.Document data engineering processes, code, and pipeline configurations thoroughly.

Oversee and lead a team of proficient data analysts.Develop data mappings essential for creating data marts and lakes.Design and implement user-friendly interfaces and dashboards for effective data interaction and visualization.Conduct thorough testing and validation of software and data products to guarantee accuracy and dependability.Engage in collaboration with fellow developers, data analysts, and stakeholders to ensure software alignment with business objectives.Provide analytical support to Business Performance and Strategic Analytics for departments and decision-makers.Core Skills:Expertise in Data Product Development and Data Mart design.Knowledge of Machine Learning, Deep Learning, Time-Series Analysis, and Optimization techniques.Understanding of Retail, Business, and Wholesale Banking products.Strong communication and interpersonal skills.Proficient in people management with a focus on multicultural awareness.Technical Skills:Proficient in Python (along with R, SAS, and Spark) and SQL, DAX.Strong coding abilities in languages such as Python, R, and Java.Familiarity with cloud data technologies.Competencies:Advanced proficiency in SQL and Python; experience with SAS/R/Spark is an advantage.Experience in deployment across various databases and server/cloud environments including AWS and Azure.Thorough understanding of banking functionalities is a significant advantage.Excellent communication and documentation skills to effectively convey information to stakeholders.Familiarity with tools such as Power BI, Tableau, or Qlik is beneficial.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic Data Engineering team in Dubai. The successful candidate will play a pivotal role in designing, constructing, and enhancing scalable data pipelines, while also facilitating advanced analytics and machine learning applications. This position demands a deep understanding of big data technologies, data processing frameworks, and feature engineering to effectively support machine learning models in a live production setting.Key ResponsibilitiesCollect and assess business and technical requirements for effective data solutions.Conduct Exploratory Data Analysis (EDA) to reveal data patterns and assess data quality.Design, develop, and maintain high-performance, scalable data pipelines.Ingest both structured and unstructured data from various sources.Transform and process extensive datasets using PySpark and Python.Apply feature engineering techniques to enhance machine learning models.Optimize Spark jobs for peak performance and cost efficiency.Ensure the quality, integrity, and security of data across all pipelines.Collaborate closely with Data Scientists, Analytics Teams, and Delivery Leads.Participate in an Agile environment alongside cross-functional teams.Effectively communicate with stakeholders, providing valuable technical insights.Utilize Git for version control and manage CI/CD workflows.Required Skills & ExpertiseProven experience in Python and PySpark.In-depth knowledge of Apache Spark (performance tuning and optimization).Comprehensive understanding of the Hadoop ecosystem.Advanced skills in SQL.Experience in building end-to-end data and ML pipelines.Strong grasp of data modeling and warehousing concepts.Experience with feature engineering for ML applications.Familiarity with Git and version control systems.Exposure to cloud platforms (AWS/Azure/GCP) is advantageous.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.8–10+ years of experience in Data Engineering / Big Data.Experience in the banking or financial services sector is preferred.Soft SkillsExceptional problem-solving and analytical skills.Strong communication and stakeholder management abilities.Capability to work both independently and collaboratively within a team.Adaptability to fast-paced Agile workflows.

Join gsstech-group as a talented Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be responsible for designing, developing, and maintaining high-quality data pipelines that are both scalable and efficient. Your contributions will ensure optimal data performance and availability across our organization.This position requires extensive hands-on experience in big data technologies, cloud-native environments, and advanced data processing frameworks. You will collaborate with diverse teams to create reliable data solutions that facilitate actionable business insights.Key Responsibilities1. Data Pipeline DevelopmentCraft and sustain scalable ETL/ELT data pipelines utilizing PySpark on CDP.Guarantee data integrity, reliability, and performance optimization.2. Data IngestionBuild ingestion frameworks to gather data from various sources including relational databases, APIs, streaming platforms, and file systems.Load both structured and unstructured data into Data Lake and Data Warehouse environments.3. Data Transformation & ProcessingProcess, cleanse, and transform extensive datasets using PySpark.Create reusable data processing components.4. Performance OptimizationOptimize Spark jobs and Cloudera components for peak performance.Enhance memory, partitioning, and execution strategies.Minimize ETL runtime and elevate cluster efficiency.5. Data Quality & ValidationEstablish data validation checks and monitoring systems.Maintain comprehensive data quality and governance standards.6. Automation & OrchestrationAutomate workflows using Apache Oozie, Apache Airflow, or similar orchestration tools.Support CI/CD integration for data pipelines.7. Monitoring & SupportOversee pipeline health and troubleshoot any issues that arise.Provide ongoing production support and drive continuous improvement initiatives.