Finance Analyst Jobs

Citigroup Inc. is seeking a Credit Risk Analyst in Dubai to evaluate and improve credit risk management practices. You will be involved in identifying, monitoring, and mitigating emerging credit risks. The ideal candidate will have 1-2 years of relevant experience and a degree in Finance or related fields. Benefits include a competitive base salary and a hybrid working model, along with additional family support. #J-18808-Ljbffr

ob Overview We are seeking a highly analytical Global Assistant Manager – Sales Performance & Data Analyst to support commercial and marketing performance across global logistics operations. This role focuses on transforming business data into actionable insights through advanced reporting, dashboard development, and performance analysis. The successful candidate will work closely with commercial, marketing, finance, and operations teams to improve decision-making, forecasting, and overall business performance. Key Responsibilities Commercial Reporting & Performance Analysis - Analyze commercial and sales data to identify business trends, opportunities, and performance improvements. • Develop interactive dashboards and reports using Power BI to monitor business performance across regions, business units, customer accounts, and service lines. • Track key performance indicators (KPIs), including lead conversion, sales pipeline health, revenue growth, forecast accuracy, account performance, and customer acquisition. • Prepare regular management reports, executive summaries, and business performance presentations. • Convert complex datasets into easy-to-understand visual reports and actionable recommendations for business leaders. • Support forecasting activities using historical sales data, pipeline analysis, and commercial performance metrics. Marketing Analytics - Monitor and evaluate marketing campaign performance across digital channels and customer segments. • Create dashboards to measure lead generation, campaign effectiveness, customer engagement, and conversion rates. • Analyze customer journeys and marketing attribution to understand their impact on sales pipeline and revenue generation. • Support alignment between marketing and sales reporting to provide complete visibility from lead generation to revenue. Sales Performance Support - Monitor the performance of strategic customer accounts and commercial initiatives. • Analyze customer engagement, tender activities, contract renewal opportunities, and account development performance. • Provide data-driven recommendations to improve sales effectiveness and business growth. Reporting Automation & Business Intelligence - Design and enhance automated reporting solutions using Power BI, Microsoft Excel, and other business intelligence tools. • Utilize CRM systems, ERP platforms, and operational databases to create accurate business reports and dashboards. • Validate reporting accuracy and coordinate with technical teams to resolve data quality issues. • Support continuous improvement initiatives by implementing automation and AI-enabled reporting capabilities. • Deliver training and guidance to users on reporting dashboards and analytical tools. Collaboration & Business Support - Partner with commercial, marketing, finance, operations, and IT teams to deliver accurate business intelligence. • Gather reporting requirements from stakeholders and develop customized analytical solutions. • Support leadership with timely performance reports, strategic insights, and business recommendations. Budgeting & Forecasting - Assist in preparing annual budgets and commercial forecasts using historical performance and market trends. • Monitor actual business performance against budgets and forecasts while identifying risks and improvement opportunities. • Recommend enhancements to forecasting models and reporting methodologies. Required Qualifications - Bachelor’s Degree in Data Analytics, Business Administration, Marketing, Logistics, Computer Science, or a related discipline. • Minimum 3–5 years of experience in commercial reporting, business analytics, sales operations, or performance analysis. • Strong experience developing dashboards and reports using Microsoft Power BI. • Hands‑on experience with CRM platforms, preferably Microsoft Dynamics CRM. • Advanced knowledge of Microsoft Excel, data visualization, and business reporting. • Experience in logistics, freight forwarding, supply chain, or commercial organizations is advantageous. • Familiarity with marketing analytics, digital reporting, forecasting, and AI-powered reporting tools is considered a plus. Key Skills - Power BI Dashboard Development - Business Intelligence & • Reporting - Commercial Performance Analysis - Sales & • Marketing Analytics - CRM Reporting - Advanced Microsoft Excel - Forecasting & • Budget Analysis - Data Visualization - KPI Development & • Monitoring - Business Performance Reporting - Stakeholder Management - Data Accuracy & • Quality Assurance - Process Improvement - Analytical Thinking - Presentation & • Communication Skills Why Join? Join a global logistics organization where your analytical expertise will directly influence commercial strategy and business performance. This role offers the opportunity to work with modern business intelligence tools, collaborate with international teams, and contribute to data‑driven decision‑making in a dynamic global environment.

Finance and Projects Data Analyst – Dubai, United Arab Emirates – IT & Services. This role focuses on end‑to‑end data migration to Oracle Fusion Cloud Financials and Oracle Project Portfolio Management, ensuring accurate extraction, mapping, cleansing, validation, and load of financial and project data. Job Details • Location: Dubai, United Arab Emirates • Industry: IT & Services • Function: Analyst • Experience: 3+ years • Job Type: Full‑time • Salary:14,000‑22,000AED (estimated range) Key Responsibilities - Own the full data migration process for finance and project data, including extraction, analysis, mapping, cleansing, loading support, validation, and reconciliation. • Work with Sage Evolution, Deltek Vantagepoint, and other legacy ERP systems to prepare migration to Oracle Fusion Cloud Financials and Oracle PPM. • Support Oracle migration activities using tools such as FBDI, ADFdi, HCM Data Loader, and related Oracle data loading methods. • Analyze General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Chart of Accounts, and project cost structures (WBS, cost code, resource planning). • Prepare data mapping documents between legacy ERP systems and Oracle Fusion Cloud target structures. • Run data quality checks to identify gaps, duplicates, inconsistencies, missing values, and formatting issues before migration. • Use advanced Microsoft Excel functions (Power Query, pivot tables, VLOOKUP, data validation) to support reconciliation and transformation work. • Write SQL queries for data extraction, profiling, comparison, and validation across source and target systems. • Coordinate with Finance, Projects, IT, and Oracle implementation partners to resolve data issues and secure business sign‑off. • Support trial loads, mock migrations, cutover activities, and post‑migration reconciliation. • Prepare reconciliation reports, exception logs, issue trackers, and migration status updates for stakeholders. • Ensure migrated data supports UAE VAT, IFRS, internal reporting, and regulatory requirements where applicable. Ideal Profile - Bachelor’s degree in Finance, Accounting, Information Systems, or a related field. • Minimum 3 years of experience in ERP data migration, finance data analysis, or project data analysis. • Hands‑on experience with Oracle Fusion Cloud Financials or Oracle Project Portfolio Management. • Strong working knowledge of Oracle data migration tools such as FBDI, ADFdi, HCM Data Loader. • Advanced Microsoft Excel skills (Power Query, pivot tables, VLOOKUP, data validation). • Ability to write SQL queries for extraction, validation, matching, and exception analysis. • Experience with Sage Evolution or similar financial ERP systems (e.g., Sage300, SAP, Microsoft Dynamics). • Experience with Deltek Vantagepoint or project‑based ERP data migration. • Good understanding of General Ledger, AP, AR, Fixed Assets, Chart of Accounts, and finance master data. • Knowledge of project management data structures (WBS, cost codes, resource planning, project cost tracking). • Strong analytical mindset with excellent attention to detail and reconciliation accuracy. • Oracle Financials Cloud certification is an advantage. • ACCA, CPA, or CMA qualification is preferred but not mandatory. • Experience with UAE Rukn financial localisation, UAE VAT, IFRS, or GCC finance operations will add value. • Familiarity with ETL tools, Oracle Data Integrator, Oracle Integration Cloud, Power BI, or Oracle Analytics Cloud. Benefits - Participation in a high‑value Oracle Fusion Cloud migration project in Dubai. • Exposure to finance, project controls, ERP transformation, data migration, and reconciliation workstreams. • Experience with Sage Evolution, Deltek Vantagepoint, Oracle Cloud, SQL, Excel automation, and reporting tools. • Collaboration with Finance, Projects, IT, and Oracle implementation specialists on a business‑critical transformation programme. • Opportunity to grow into ERP data migration, Oracle finance systems, project controls analytics, or enterprise data management roles.

Finance and Projects Data Analyst – Dubai, United Arab Emirates – IT & Services. This role focuses on end‑to‑end data migration to Oracle Fusion Cloud Financials and Oracle Project Portfolio Management, ensuring accurate extraction, mapping, cleansing, validation, and load of financial and project data. Job Details • Location: Dubai, United Arab Emirates • Industry: IT & Services • Function: Analyst • Experience: 3+ years • Job Type: Full‑time • Salary:14,000‑22,000AED (estimated range) Key Responsibilities - Own the full data migration process for finance and project data, including extraction, analysis, mapping, cleansing, loading support, validation, and reconciliation. • Work with Sage Evolution, Deltek Vantagepoint, and other legacy ERP systems to prepare migration to Oracle Fusion Cloud Financials and Oracle PPM. • Support Oracle migration activities using tools such as FBDI, ADFdi, HCM Data Loader, and related Oracle data loading methods. • Analyze General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Chart of Accounts, and project cost structures (WBS, cost code, resource planning). • Prepare data mapping documents between legacy ERP systems and Oracle Fusion Cloud target structures. • Run data quality checks to identify gaps, duplicates, inconsistencies, missing values, and formatting issues before migration. • Use advanced Microsoft Excel functions (Power Query, pivot tables, VLOOKUP, data validation) to support reconciliation and transformation work. • Write SQL queries for data extraction, profiling, comparison, and validation across source and target systems. • Coordinate with Finance, Projects, IT, and Oracle implementation partners to resolve data issues and secure business sign‑off. • Support trial loads, mock migrations, cutover activities, and post‑migration reconciliation. • Prepare reconciliation reports, exception logs, issue trackers, and migration status updates for stakeholders. • Ensure migrated data supports UAE VAT, IFRS, internal reporting, and regulatory requirements where applicable. Ideal Profile - Bachelor’s degree in Finance, Accounting, Information Systems, or a related field. • Minimum 3 years of experience in ERP data migration, finance data analysis, or project data analysis. • Hands‑on experience with Oracle Fusion Cloud Financials or Oracle Project Portfolio Management. • Strong working knowledge of Oracle data migration tools such as FBDI, ADFdi, HCM Data Loader. • Advanced Microsoft Excel skills (Power Query, pivot tables, VLOOKUP, data validation). • Ability to write SQL queries for extraction, validation, matching, and exception analysis. • Experience with Sage Evolution or similar financial ERP systems (e.g., Sage300, SAP, Microsoft Dynamics). • Experience with Deltek Vantagepoint or project‑based ERP data migration. • Good understanding of General Ledger, AP, AR, Fixed Assets, Chart of Accounts, and finance master data. • Knowledge of project management data structures (WBS, cost codes, resource planning, project cost tracking). • Strong analytical mindset with excellent attention to detail and reconciliation accuracy. • Oracle Financials Cloud certification is an advantage. • ACCA, CPA, or CMA qualification is preferred but not mandatory. • Experience with UAE Rukn financial localisation, UAE VAT, IFRS, or GCC finance operations will add value. • Familiarity with ETL tools, Oracle Data Integrator, Oracle Integration Cloud, Power BI, or Oracle Analytics Cloud. Benefits - Participation in a high‑value Oracle Fusion Cloud migration project in Dubai. • Exposure to finance, project controls, ERP transformation, data migration, and reconciliation workstreams. • Experience with Sage Evolution, Deltek Vantagepoint, Oracle Cloud, SQL, Excel automation, and reporting tools. • Collaboration with Finance, Projects, IT, and Oracle implementation specialists on a business‑critical transformation programme. • Opportunity to grow into ERP data migration, Oracle finance systems, project controls analytics, or enterprise data management roles.

Growth Product Manager About Fasset: Fasset is building the ownership bank: real assets (gold, backed dollars, global markets) on regulated rails across the Gulf, South Asia, and Southeast Asia. $100M+ raised, 2M+ users. About the Role: A committed H2 roadmap with dated releases: referral relaunch and affiliate program (August), rewards marketplace and mission center (September), pre-dormancy save flows (hard November date), win-back ladder, a recurring-execution rail that serves three future products, and a Q4 slate including round-ups into gold, a seasonal gifting mechanic with a fixed religious-calendar deadline, and a remittance corridor pilot. Underneath: a user state machine (8 states, 11 numbered edges) that sets priorities, and a metrics canon that sets definitions. You can change the plan if the data supports the change. Responsibilities: Ship the releases. Specs, sequencing, engineering coordination, QA handoff, release notes. Dates hold, or slip with advance notice. Several releases gate each other; two have external deadlines. Work against the state machine. Every initiative names the state transition it moves and the loop it feeds before it enters the roadmap. You know the current transition numbers and adjust the roadmap when they change. Pair with the Growth Analyst. Every release ships with pre-registered success criteria (target, guardrail, kill threshold, read date) agreed with the Analyst before launch. Post-reads happen on the read date. Kills execute when thresholds say so. The Analyst certifies numbers independently; you do not grade your own launches. Guard payout definitions. Referral, affiliate, and gifting features pay out on qualified user behavior, not raw counts. You design against gaming and abuse before launch. Coordinate growth work across pods. Cards, Earning, Lending, network, and market teams ship features that touch acquisition, activation, or retention. You keep a single view of growth-relevant releases company-wide, run a light cross-pod cadence, and catch overlaps before they ship. Prioritize marketing rails against feature work. The pod builds infrastructure marketing runs on: promo engine, deep links, segmentation, campaign onboarding paths. You sequence these against features. Run lifecycle mechanics until that seat is filled. Save flows, win-back ladders, and messaging journeys ship through the pod. You spec and oversee their operation in the interim. Drive user segmentation and journey experimentation. Build a scalable process leveraging Mixpanel to more granularly define our target users, their use cases and optimize their onboarding and engagement funnels. Requirements: Right for this if: • You have shipped growth mechanics at a consumer fintech, crypto platform, marketplace, or high-volume consumer app: referral programs, incentives, onboarding flows, retention journeys. • You have run a roadmap where releases gated each other. You can name a date you saved and a date you slipped, and the difference. • You can look at a funnel and name the transition that matters most now, with numbers. • You have worked beside an independent analytics function: pre-registered criteria, honest post-reads, features killed on their stated thresholds. • You have coordinated across teams without authority over them and shipped anyway. • Emerging-market or Islamic-finance product context is a strong plus. Our mechanics include gifting, gold, remittance corridors, and Shariah-reviewed features. Not a fit if: • Your portfolio is strategy and discovery without shipped mechanics. • You need a blank page. This role inherits a dated plan. • You treat measurement as post-launch reporting. • You cannot explain how a feature you built was or would be gamed. • Cross-team coordination reads to you as politics.

Use Data Science to Predict, Improve, and Transform Healthcare Outcomes Al-Futtaim Health is seeking an experienced Healthcare Data Scientist – Machine Learning & Clinical Analytics to join our HealthHub Corporate Office in Dubai Festival City. This is a specialist data science role focused on predictive modelling, machine learning, clinical analytics, healthcare data integration, and AI-driven decision support across our growing healthcare network. Important: This is not a Data Analyst, BI Analyst, Reporting Analyst, Power BI Developer, or dashboard-only role. We are looking for a hands-on Data Scientist who has personally built, trained, tested, and evaluated predictive models using real healthcare datasets such as electronic health records, claims, pharmacy data, laboratory data, clinical activity data, or healthcare operational data. The purpose of this role is to move beyond reporting what has already happened and help HealthHub predict what may happen next, optimise patient pathways, improve clinical decision-making, and support better healthcare outcomes. About the Role As a Healthcare Data Scientist, you will design, develop, and evaluate machine learning models and advanced analytics solutions that support clinical, operational, financial, and strategic decision-making. You will work closely with clinical leadership, medical directors, operations teams, finance, IT, health informatics, and compliance stakeholders to transform complex healthcare data into predictive insights and practical healthcare solutions. The role requires a strong combination of healthcare domain knowledge, statistical modelling, machine learning, Python or R, advanced SQL, healthcare data standards, and responsible healthcare AI practices. Key Responsibilities Build, train, test, and evaluate predictive machine learning models for healthcare use cases. Develop models that support clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement. Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data. Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods. Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks. Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR. Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives. Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows. Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods. Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements. Skills Essential Requirements Currently residing in the UAE. Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline. Minimum 2–5 years’ experience in data science. Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data. Proven hands-on experience building predictive models or machine learning solutions. Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation. Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation. Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, or healthcare operational data. Understanding of healthcare coding or interoperability standards such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR. Ability to communicate technical outputs clearly to clinical, operational, finance, and leadership stakeholders. Highly Desirable Master’s Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field. Experience with UAE healthcare data environments, DHA regulations, NABIDH, Malaffi, or healthcare data residency requirements. Experience working within a hospital, clinic network, healthcare group, health insurance provider, health-tech company, clinical analytics team, or health informatics environment. Experience with clinical decision support systems. Experience with SHAP, LIME, or other model explainability methods. Experience with Power BI, Tableau, Plotly, or Dash to communicate data science outputs to leadership. Who This Role Is Not For This role is unlikely to be suitable if your experience is primarily focused on: Power BI dashboards only. KPI reporting only. Excel reporting. SQL extracts without modelling. Descriptive analytics only. Claims audit reporting only. General business intelligence without predictive modelling. Data analysis without machine learning or statistical model development. Candidates must be able to demonstrate hands-on experience building data science or machine learning models using healthcare datasets. Why Join Al-Futtaim Health? Work from HealthHub Corporate Office in Dubai Festival City. Opportunity to shape healthcare AI and predictive analytics across a growing healthcare network. Work with clinical, operational, finance, and leadership stakeholders. Exposure to healthcare datasets and real-world clinical decision-making. Opportunity to support patient outcomes, operational efficiency, and healthcare innovation. Competitive salary and benefits package. Career development within one of the UAE’s leading healthcare organisations.

Use Data Science to Predict, Improve, and Transform Healthcare Outcomes Al-Futtaim Health is seeking an experienced Healthcare Data Scientist – Machine Learning & Clinical Analytics to join our HealthHub Corporate Office in Dubai Festival City. This is a specialist data science role focused on predictive modelling, machine learning, clinical analytics, healthcare data integration, and AI-driven decision support across our growing healthcare network. Important: This is not a Data Analyst, BI Analyst, Reporting Analyst, Power BI Developer, or dashboard-only role. We are looking for a hands-on Data Scientist who has personally built, trained, tested, and evaluated predictive models using real healthcare datasets such as electronic health records, claims, pharmacy data, laboratory data, clinical activity data, or healthcare operational data. The purpose of this role is to move beyond reporting what has already happened and help HealthHub predict what may happen next, optimise patient pathways, improve clinical decision-making, and support better healthcare outcomes. About the Role As a Healthcare Data Scientist, you will design, develop, and evaluate machine learning models and advanced analytics solutions that support clinical, operational, financial, and strategic decision-making. You will work closely with clinical leadership, medical directors, operations teams, finance, IT, health informatics, and compliance stakeholders to transform complex healthcare data into predictive insights and practical healthcare solutions. The role requires a strong combination of healthcare domain knowledge, statistical modelling, machine learning, Python or R, advanced SQL, healthcare data standards, and responsible healthcare AI practices. Key Responsibilities Build, train, test, and evaluate predictive machine learning models for healthcare use cases. Develop models that support clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement. Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data. Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods. Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks. Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR. Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives. Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows. Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods. Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements. Skills Essential Requirements Currently residing in the UAE. Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline. Minimum 2–5 years’ experience in data science. Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data. Proven hands-on experience building predictive models or machine learning solutions. Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation. Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation. Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, or healthcare operational data. Understanding of healthcare coding or interoperability standards such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR. Ability to communicate technical outputs clearly to clinical, operational, finance, and leadership stakeholders. Highly Desirable Master’s Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field. Experience with UAE healthcare data environments, DHA regulations, NABIDH, Malaffi, or healthcare data residency requirements. Experience working within a hospital, clinic network, healthcare group, health insurance provider, health-tech company, clinical analytics team, or health informatics environment. Experience with clinical decision support systems. Experience with SHAP, LIME, or other model explainability methods. Experience with Power BI, Tableau, Plotly, or Dash to communicate data science outputs to leadership. Who This Role Is Not For This role is unlikely to be suitable if your experience is primarily focused on: Power BI dashboards only. KPI reporting only. Excel reporting. SQL extracts without modelling. Descriptive analytics only. Claims audit reporting only. General business intelligence without predictive modelling. Data analysis without machine learning or statistical model development. Candidates must be able to demonstrate hands-on experience building data science or machine learning models using healthcare datasets. Why Join Al-Futtaim Health? Work from HealthHub Corporate Office in Dubai Festival City. Opportunity to shape healthcare AI and predictive analytics across a growing healthcare network. Work with clinical, operational, finance, and leadership stakeholders. Exposure to healthcare datasets and real-world clinical decision-making. Opportunity to support patient outcomes, operational efficiency, and healthcare innovation. Competitive salary and benefits package. Career development within one of the UAE’s leading healthcare organisations.

Job Description Company Description This is Capi! Capi operates more than 60 stores at airports across Europe, Africa, and the Middle East. Capi is the electronics specialist with top brands such as Apple, JBL, Bose, and Philips. T Our unique store concepts provide travelers with an inspiring shopping experience. Our ambition Growth. We are always alert and act with focus and efficiency. That's only possible with the right people. When you join us, you'll have all the opportunities to continuously develop yourself and work independently. You'll work alongside driven colleagues who always aim for the best results. Combined with the dynamic world of retail, this creates a constantly evolving work environment making every day just a little better! Job Description The Stock Planner / Data Analyst will play a critical role in optimizing inventory management and sales performance. This role requires analyzing sales data, identifying trends, and developing strategies to ensure optimal stock levels and maximize profitability. The ideal candidate will work closely with the Retail Supply Chain team, Logistics, Category Management, Sales, and Finance to support data-driven decision-making and enhance operational efficiency. Key Responsibilities - Develop merchandising strategies to achieve financial goals. • Analyze historical sales data and forecast future trends. • Monitor stock levels to ensure optimal inventory management. • Leverage technology and data analytics to streamline processes and improve efficiency. • Implement markdown and clearance strategies to optimize stock turnover. • Plan and execute strategies for seasonal and holiday sales. • Collaborate with buyers and cross-functional teams to ensure product availability. • Gather and analyze customer and sales team feedback, making data-driven adjustments. • Monitor industry trends, conduct price benchmarking, and refine strategies accordingly. • Generate and present regular reports on inventory, sales performance, and stock planning. • Prepare and deliver presentations to stakeholders, offering insights and recommendations. Qualifications - Bachelor's degree or higher in Supply Chain, Business Administration, Business Control, or a related field. Experience in a similar role within an international retail environment. • Proficiency in Microsoft Excel and the Office Suite. • Strong analytical and problem-solving skills. • Ability to work independently and collaboratively within a fast-paced environment. • Excellent interpersonal, organizational, and communication skills. • High attention to detail and data accuracy. Additional Information WHAT WE OFFER: • Comprehensive health insurance • Standard benefits as per UAE labour law • Opportunity to work in a multinational company with a dynamic and diverse team. • Exposure to international retail operations and global best practices. • A collaborative work environment that encourages growth and professional development. • Hands-on experience in data-driven decision-making and strategic stock planning. • Competitive salary and comprehensive benefits package. • A chance to develop your skills in a fast-paced, high-impact industry.

Social Statistics Expert - Dicetek LLC - Dubai, UAE Position Overview Dicetek LLC is seeking an experienced Social Statistics Expert to lead the planning, analysis, and execution of social statistical projects in line with international standards and the strategic directions of the Government of Dubai. The role involves providing technical expertise in data analysis, statistical modeling, and social forecasting, ensuring the accuracy and reliability of socio‑statistical outputs and indicators. The ideal candidate will possess a strong academic foundation and proven experience in designing, analyzing, and interpreting large‑scale social datasets. Job Details Country: UAE | City: Dubai | Industry: Research | Function: Analyst | Salary: 18,000-24,000 monthly (Market estimated) | Gender: Any | Candidate Nationality: Any | Job Type: Full‑time Key Responsibilities - Provide expert guidance on social statistical projects, methodologies, and data processes in accordance with international statistical standards. - Develop policies, technical frameworks, and methodologies for collecting, processing, and analyzing social data and indicators. - Participate in setting objectives, plans, and programs related to social statistics and studies in alignment with government strategies. - Ensure data accuracy and integrity by coordinating with relevant authorities and implementing automated audit procedures. - Supervise all phases of social data preparation, validation, and dissemination through smart and electronic platforms. - Conduct in‑depth research, studies, and analyses on social issues and submit detailed findings to the relevant authorities. - Coordinate with data providers to harmonize definitions, classifications, and methodologies across social datasets. - Prepare and update statistical tables, reports, and social indicators, ensuring timely publication and accessibility. - Develop and enhance systems for social data production, ensuring consistency, efficiency, and adherence to global best practices. - Propose improvements to data collection, processing, and dissemination methods to meet the evolving needs of stakeholders. - Monitor data flow and continuity from multiple sources to support long‑term social forecasting. - Contribute to capacity building by providing technical support and training in social data collection and analysis. - Participate in committees, task forces, and technical meetings, providing professional input and recommendations. - Support the preparation of annual budgets and progress reports for social statistical projects. Ideal Profile - Bachelor's, Master's, or Doctoral degree in Statistics, Economics, Accounting, Sociology, or Demography. - Minimum 7-10 years of experience in social statistics, data analysis, or government statistical research. - Strong knowledge of international social data standards, classification systems, and survey methodologies. - Expertise in statistical software and data processing tools such as SPSS, STATA, SAS, or R. - Proven ability to design and manage large‑scale statistical studies and social indicators. - Excellent analytical, organizational, and report‑writing skills. - Strong communication and stakeholder engagement abilities. Why Join Us - Opportunity to work on strategic government and research projects that impact social policy and development. - Exposure to advanced statistical systems, methodologies, and international data frameworks. - Collaborative environment promoting innovation, accuracy, and evidence‑based decision‑making. - Competitive compensation and opportunities for professional growth in public sector analytics. About the Company Dicetek LLC is a global IT and consulting firm headquartered in Singapore with a strong regional base in Dubai. The company provides specialized services in data analytics, research, digital transformation, and governance to clients across government, finance, and enterprise sectors. With a commitment to excellence, Dicetek helps organizations harness the power of data and research to make informed, evidence‑based decisions for sustainable development.

Media.net is a leading global ad tech company, building innovative products and solutions for advertisers and publishers. Media.net creates the most transparent and efficient path for ad budgets to become publisher revenue, while delivering meaningful value to advertisers, publishers, app developers, and end users across the open web. We are one of the world’s largest independent contextual advertising businesses, with one of the industry’s most comprehensive advertising technology portfolios. Media.net powers major publishers and ad-tech platforms across formats, including display, video, mobile, native, search, and local. Our platform manages high-quality ad supply across 500,000+ websites and is licensed by the biggest publishers, ad networks, and technology partners worldwide. Beyond our core advertising business, Media.net also operates at scale in performance-driven consumer acquisition, app development and distribution, and strategic technology investments. These efforts are supported by one of the world’s largest independent software development engines, enabling us to innovate rapidly and build products used across global markets. Media.net is home to 1,300+ employees, with key operations across North America, Europe, and Asia. Our US headquarters is in New York, and our global headquarters is in Dubai. Across 50+ demand partners, 21K+ publishers, and a growing portfolio of products and services, we take great pride in driving trusted, transparent, and scalable results. About the Role We are looking for a Data & Spam Analyst to join our growing AdTech team. This hybrid role combines data driven analysis with spam/fraud detection to ensure both accurate business reporting and a secure advertising ecosystem. The ideal candidate will be adept at analyzing large datasets, delivering actionable insights, and proactively identifying fraudulent or spammy activities that can impact performance and revenue integrity. Key Responsibilities Business & Data Analytics • Manage business reporting for multiple teams and consistently monitor performance against KPIs. • Verify the integrity and accuracy of revenue reporting across systems. • Track and analyze critical data points influencing core business activities, escalating insights to stakeholders when necessary. • Deliver ad-hoc reports and presentations for urgent business needs, ensuring accuracy and timeliness. • Execute daily, weekly, and monthly reporting processes as per business requirements to drive operational excellence. Spam & Fraud Analysis • Monitor ad traffic, user behavior, and system logs to detect anomalies, fraudulent activity, and spam patterns. • Investigate suspicious activity, including invalid clicks, bot traffic, ad stacking, cloaking, and impression fraud. • Develop and refine rules, filters, and detection mechanisms to mitigate fraud and protect advertising integrity. • Collaborate with product, compliance, and engineering teams to strengthen spam/fraud detection systems. • Document fraud/spam cases with clear evidence, providing insights to prevent recurrence and improve platform trust. • Stay up to date with emerging spam and fraud trends in the AdTech ecosystem, recommending proactive defense strategies. Technical Skills Required • Proficiency in SQL and Excel for querying, reporting, and data manipulation. • Familiarity with Python for automation, anomaly detection, and data processing. • Skilled in creating dashboards and visualizations using BI tools (Tableau, Power BI, Looker, etc.). • Strong understanding of ETL processes and ability to manage master data across multiple sources. • Keen attention to detail with the ability to analyze numbers, spot patterns, and identify anomalies. Good to Have • Experience with statistical and analytical tools (SAS, SPSS, R). • Knowledge of fraud/spam detection methodologies in digital advertising. • Familiarity with big data tools (Hive, Spark, Presto). • Understanding of advertising platforms (Google Ads, DSPs, SSPs, Exchanges). • Exposure to machine learning models for fraud detection is a plus. Soft Skills • Strong communication skills to present insights clearly to both technical and non-technical stakeholders. • Highly organized with the ability to manage multiple priorities in a fast-paced AdTech environment. • Proactive problem-solver with an investigative mindset and high ethical standards. • Ability to work cross-functionally with product, finance, engineering, and compliance teams. Qualifications • Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, Economics, or related field. (BE, BSc (IT), BCA, MCA, BSc(CS)) • 3–5 years of experience in Data Analytics, Spam/Fraud Analysis, or related roles within AdTech, digital marketing, or internet technology companies. • Proven ability to work with large datasets and generate actionable insights. • Demonstrated experience in fraud/spam detection or risk analytics is highly preferred. • Strong business acumen with the ability to connect data insights to revenue, profitability, and operational efficiency. Why Join Us? • Be part of a high-impact team safeguarding advertising integrity while driving business growth. • Work at the intersection of data analytics, fraud prevention, and AdTech innovation. • Opportunity to develop advanced skills in spam/fraud detection frameworks and data-driven business strategy. At Media.Net people love their jobs, and not just because we offer the most competitive salaries in the industry. Our excellent benefits include everything from great medical and life insurance to catered meals. Our workspaces are comfortable and fun, complete with bean bag chairs, ping pong tables, and all the snacks you can eat. We have no dress code (tee-shirts are a-ok!). We have flexible work hours and flexible holidays, which means that teams pick their own work hours. Media.Net has its own concierge desk that doubles up as a travel agency. We are passionate about building the next generation of web products, and we believe that happy employees are the key to achieving this goal. If you like the idea of working in an exciting workspace on cutting-edge internet products that make a truly global impact (and wearing flip-flops to work), then we want to get to know you! #J-18808-Ljbffr