business intelligence analyst

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5><div>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
</div>As a Senior Data Analyst , you will be fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data &amp; Analytics space. The role involves the analysis aspects of sourcing and transforming data to ensure it delivers on the insights required by Emirates Airlines and Emirates Group business stakeholders. 
 
In this role you will:
<ul><li>Understands business domains well (e.g. airline, passenger, pilot &amp; crew, aircrafts, HR, Finance). Work with product owners and business users to understand operational source system data and business transformation / data cleansing rules required to ensure that analytical solutions generate the insights required by the business. Operate with a data-driven mindset, helping the business generate those insights based on data.
</li><li>Assist in the collection of data dictionaries and creation of business glossaries. Maintain core data repositories as data sources and interfaces change over time.
</li><li>Understand and maintain data models and data interfaces for the analytical environment to understand availability of data for the required business reports.
</li><li>Conduct simple data gap analysis and data profiling to analyse availability and quality of incoming data and advise on any data cleansing rules, or issue resolution options in case of incidents (including analysis of potential data quality issues). Incorporate business transformation rules into solution designs or mapping documents to ensure solutions provide timely business value.
</li><li>Document proposed or modified data interfaces, including fit for data models, data flow timing, source-to-target mapping, uniqueness criteria and data transformation rules including data validations and controls.
</li><li>Provide feedback on logical and physical data models to ensure they effectively meet the analytical requirements and expectations.
</li><li>Collaborate with the quality engineers to identify areas which need to be validated and ensure data exposed to business stakeholders satisfies their analytical needs.
</li>Keep current on evolving Emirates Airlines and Emirates Group data and analytics business knowledge domains to accurately assess the quality of the data and ensure business glossaries remain up-to-date. 
<li>
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
<div><ul><li>Degree or Honours (12+3 or equivalent)
</li><li>Experience in Information Technology
</li><li>Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering. Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have
</li><li>3+ yrs in Data Analysis experience (Fewer years&rsquo; experience will be considered for Masters degree holders)
</li><li>Minimum 3+ years conducting data analysis tasks (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping)
</li><li>Proven track record developing and maintaining data documentation artefacts in organizations of similar size and complexity within project deadlines
</li><li>Deep expertise on business transformation rules and understanding of data solution designs
</li><li>Experience writing SQL queries to analyse data and provide results to business users or project team members
</li><li>Experience with building information designs for data-centric projects on one or more of the following (preferably within a airlines industry): Data Warehouses, Big Data Environment for Analytics, Data API, Business Intelligence Solutions
</li>Airline industry experience preferred (or expertise in a supporting function such as HR or Finance); needs to understand the business domains well to conduct data modelling and analysis activities 
<li>
</li></ul></div>Knowledge/Skills:
<div><ul><li>Good communication skills; able to clearly communicate rationale and approaches to peers and some business stakeholders
</li><li>Operates with a &ldquo;You Code It, You Own It&rdquo; mindset (i.e. supports the products they build)
</li><li>Demonstrated problem-solver; able to design and document solutions independently
</li><li>Strong work ethic, being results-oriented, and accuracy / attention to detail are critical
</li><li>Demonstrated initiative, able to work both independently and as a team member
</li><li>Team player; able to collaborate with others to remove blockers, solve complex data problems and debug/resolve issues
</li><li>Able to deliver solutions (and associated value) iteratively
</li>Is accountable and displays positive attitude 
<li>
</li></ul></div>Technology Domain Key Technologies/Tools:
Big Data &amp; Distributed Processing :Querying HDFS or ADLS file storage systems, with tools such as Hive or H-Base, ElasticSearch, Experience with AVRO / PARQUET file formats nice-to-have
Data Analysis, Modelling and Reporting :SQL, Snowflake, Data Vault 2.0, MicroStrategy, Power BI 
 
Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.</div>

Senior Data Analyst

Monarch Solicitors

About the roleWe're looking for a technically strong Developer &amp; Data Analyst who can turn our business data into clear, useful insight, automate the repetitive work that slows us down &mdash; and also own our day-to-day bookkeeping. This is a hands-on, build-things role: you'll write the automations, wrangle the data, maintain the reporting, and keep our financial records accurate and current. You'll work closely with [the owner / leadership / the operations team] and have visibility across the whole business.It suits someone who likes building and problem-solving as much as working with numbers &mdash; automating a tedious process, cleaning a messy dataset, and explaining what the results mean to people who aren't technical.What you'll doData &amp; analysis<ul><li>Pull, clean, and organise data from across the business (finance, sales, operations, marketing)</li><li>Build and maintain dashboards and reports that track our key metrics</li><li>Answer business questions with data &mdash; e.g. what's driving cost, revenue, or churn</li><li>Identify trends, inefficiencies, and opportunities, and present them clearly</li><li>Support decisions with well-reasoned analysis, not just charts</li></ul>Automation &amp; development<ul><li>Automate repetitive finance and reporting tasks &mdash; recurring reports, data pulls, reconciliation prep, invoice reminders</li><li>Build and maintain scripts, spreadsheet automations, and templates that cut manual data entry</li><li>Connect the tools we already use so data flows between them with less hand-holding (built-in integrations, APIs, or no-code tools like Zapier/Make)</li><li>Document what you automate and monitor it so failures get caught early</li><li>Spot manual processes that are eating time and propose sensible ways to streamline them</li></ul>Bookkeeping &amp; accounting<ul><li>Record and categorise daily transactions, keeping the books accurate and current</li><li>Perform monthly bank and account reconciliations</li><li>Manage accounts payable and receivable, including invoicing and chasing payments</li><li>Maintain the chart of accounts and keep records audit-ready</li><li>Prepare monthly financial summaries (P&amp;L, cash flow, balance sheet basics)</li><li>Coordinate with our external accountant/CPA at tax time and hand over clean records</li><li>Track expenses, flag anomalies, and help with budgeting</li></ul>What we're looking forRequired<ul><li>Strong technical skills in software engineering / IT &mdash; comfortable scripting and building automations</li><li>Comfort working with data: cleaning messy datasets, choosing sensible comparisons, explaining findings</li><li>Advanced spreadsheet skills (Excel/Google Sheets &mdash; pivot tables, lookups, clean modelling)</li><li>A degree in Computer Science, Data Analytics, Information Systems, or a related field &mdash; or equivalent proven experience</li><li>Solid working knowledge of accounting software, plus the bookkeeping fundamentals to keep our books accurate (hands-on experience or a Finance/Accounting background)</li><li>High attention to detail and a habit of double-checking your own work</li><li>Ability to communicate technical and financial insights to non-technical people</li></ul>Nice to have<ul><li>SQL or a data tool (Python, Power BI, Tableau, Looker, etc.)</li><li>Experience automating workflows with no-code tools (Zapier, Make) or light scripting</li><li>A relevant credential in Data Analytics, Information Systems, or Accounting/Finance</li><li>Experience working in a small-business or startup environment</li></ul>What success looks like<ul><li>Manual, repetitive tasks shrink over time as you automate them</li><li>Recurring questions get answered with reliable data instead of guesswork</li><li>Leadership can trust the numbers and the reporting</li><li>The books are always accurate and reconciled on time</li><li>You proactively surface things we should know about &mdash; risks, savings, and opportunities</li></ul>How to applySend your CV/resume and a short note about your relevant experience to enquiries@monarchsolicitors.com.Work Location: In personPay: AED3,000.00 - AED5,000.00 per monthWork Location: In person

Developer & Data Analyst

talabat

<div>
 Since launching in Kuwait in 2004, talabat has become the region&rsquo;s leading on-demand delivery app, serving millions of customers across eight countries. Our Quick Commerce (QC) Hub powers the grocery and convenience delivery experience &mdash; getting everyday essentials to customers&rsquo; doors in minutes, not hours.
 
 
 Behind every delivery is data. Our QC data team works at a scale most data scientists only read about: millions of daily transactions, thousands of partners, and decisions that directly shape how people across the Middle East get their groceries delivered. We&rsquo;re building an analytics-first culture where every product and business decision is grounded in evidence.
 
 
 
 Job Description
 
 
 
 
 Why This Role
 
 
 
 As a Data Scientist on the QC Hub team, you&rsquo;ll be the analytical brain behind one of talabat&rsquo;s fastest-growing verticals. You won&rsquo;t just crunch numbers &mdash; you&rsquo;ll partner directly with product and business leaders to shape strategy, design experiments that affect millions of users, and build the data foundations that power smarter decisions.
 
 
 This is a role for someone who loves turning messy, ambiguous business questions into clean, actionable analysis &mdash; and who gets energy from seeing their insights change how a team operates.
 
 
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 First 90 days: You&rsquo;ve ramped up on your domain, built relationships with your product and business partners, understood the data landscape, and delivered your first actionable analysis.
 </li>
 <li>
 By 6 months: You&rsquo;re the go-to analytical partner for your domain. You&rsquo;re independently designing and running experiments, and stakeholders regularly act on your recommendations.
 </li>
 <li>
 By 12 months: Your work has measurably improved decision quality in your domain. You&rsquo;ve built or refined data models that the team relies on daily, and you&rsquo;re mentoring newer team members on analytical best practices.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Actually Do
 
 
 
 
 You&rsquo;ll spend roughly:
 
 
 
 <ul>
 <li>
 40% on deep analysis and experimentation &mdash; designing A/B tests, running multivariate experiments, doing deep dives into performance drivers, and turning findings into clear recommendations.
 </li>
 <li>
 30% on data modelling and quality &mdash; building and maintaining the data models that let us measure what matters, profiling source data, and ensuring data reliability.
 </li>
 <li>
 30% working with stakeholders &mdash; partnering with product and business managers to frame the right questions, set meaningful KPIs, and present insights that drive action.
 
 
 </li>
 </ul>
 
 Day-to-day, You&rsquo;ll
 
 
 
 <ul>
 <li>
 Turn ambiguous business questions into structured analytical problems
 </li>
 <li>
 Build and maintain dimensional data models in BigQuery
 </li>
 <li>
 Design, execute, and interpret experiments (A/B and multivariate)
 </li>
 <li>
 Create automated dashboards and reports that stakeholders actually use
 </li>
 <li>
 Challenge assumptions with data &mdash; including your own
 </li>
 <li>
 Collaborate with data engineers on logging and data pipeline quality
 
 
 </li>
 </ul>
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 
 <ul>
 <li>
 Love being embedded with business teams, not siloed in a data team
 </li>
 <li>
 Get satisfaction from changing how decisions are made, not just producing reports
 </li>
 <li>
 Are comfortable with ambiguity &mdash; many of your best projects will start as vague questions
 </li>
 <li>
 Care deeply about data quality and are willing to dig into source systems to understand what the data actually means
 </li>
 <li>
 Communicate clearly with non-technical stakeholders
 
 
 </li>
 </ul>
 
 This Might Not Be For You If You&hellip;
 
 
 
 <ul>
 <li>
 Want to build ML models full-time (this role is analytics and experimentation focused)
 </li>
 <li>
 Prefer working independently without regular stakeholder interaction
 </li>
 <li>
 Need clearly defined problems handed to you
 </li>
 <li>
 Are more interested in tools and techniques than business impact
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 What You Bring
 
 
 
 
 Education
 
 
 
 Degree in a quantitative field (statistics, mathematics, economics, computer science, engineering, or similar) &mdash; or equivalent practical experience. A postgraduate degree is a plus but not required.
 
 
 
 Must-Haves
 
 
 
 <ul>
 <li>
 Strong SQL skills &mdash; you can write complex queries with window functions, CTEs, and optimise for performance on large datasets
 </li>
 <li>
 Reproducible analysis in Python or R &mdash; you write clean, well-structured analytical code, not one-off scripts
 </li>
 <li>
 Experiment design expertise &mdash; you understand when to use A/B vs. multivariate tests, can calculate sample sizes, and know the pitfalls of statistical testing
 </li>
 <li>
 Full analysis lifecycle experience &mdash; from problem framing through data auditing, analysis, interpretation, and presenting recommendations
 </li>
 <li>
 Data modelling knowledge &mdash; you understand dimensional design and can build models that serve both ad-hoc analysis and automated reporting
 </li>
 <li>
 Product analytics intuition &mdash; you&rsquo;re familiar with metrics like conversion, engagement, and retention, and know how to measure product health
 </li>
 <li>
 3+ years in data science, analytics, or a related quantitative field
 
 
 </li>
 </ul>
 
 Nice-to-Haves
 
 
 
 <ul>
 <li>
 Experience with BigQuery and Google Cloud Platform
 </li>
 <li>
 Data engineering skills (Airflow, dbt, or similar pipeline tools)
 </li>
 <li>
 Experience with ML frameworks (Scikit-learn, XGBoost, LightGBM)
 </li>
 <li>
 Familiarity with modern data tools and AI-assisted analysis workflows
 </li>
 <li>
 Experience in an online consumer product or marketplace environment
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Impact at scale &mdash; your work directly affects how millions of people get their daily essentials
 </li>
 <li>
 An analytics-first culture &mdash; a data team that&rsquo;s genuinely invested in analytical excellence, not just dashboarding
 </li>
 <li>
 Modern tooling &mdash; BigQuery, GCP ecosystem, and the freedom to experiment with new approaches including AI-assisted workflows
 </li>
 <li>
 Career growth &mdash; past data scientists on the team have grown into senior individual contributor roles and analytics leads
 </li>
 <li>
 Great Place to Work &mdash; talabat is a certified Great Place to Work across multiple countries in the region
 </li>
 </ul>
</div>

Data Scientist II - Analysis, QC

Udrive

<div>
 
 Udrive
 
 is seeking a detail-oriented and motivated Junior Data Analyst to support cross-functional analytics needs for our business. This role will assist our analytics team in managing operational reporting, automating workflows, conducting exploratory analyses, and ensuring data integrity across platforms.
 
 
 You&rsquo;ll work closely with business teams including Operations, Product, Marketing, and Customer Service to deliver data-driven insights and maintain reporting excellence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Reporting, Analysis Visualization: Build and maintain recurring reports and dashboards using Tableau Excel, and internal tools.
 </li>
 <li>
 Track key performance indicators (KPIs) across fleet, operations, marketing, and business lines.
 </li>
 <li>
 Assist in visual storytelling and communicating insights to stakeholders in a clear, digestible format.
 </li>
 <li>
 Conduct exploratory and ad-hoc analyses to support initiatives like fleet optimization, customer segmentation, marketing initiatives.
 </li>
 <li>
 Collaborate with marketing, product, engineering to derive actionable insights from raw datasets.
 </li>
 <li>
 Support the automation of recurring data processes using SQL, Python
 </li>
 <li>
 Data Quality Governance: Perform data audits to ensure consistency, accuracy, and completeness. Identify and flag anomalies, track data lineage, and maintain documentation for analytics workflows.
 </li>
 <li>
 Document Data Processes, Dashboards Requests
 </li>
 <li>
 Collaboration Support Partner with stakeholders in Operations, Marketing, Product, and CS to address analytical requests and performance queries.
 </li>
 <li>
 Help train teams in reading dashboards and interpreting KPIs.
 
 
 </li>
 </ul>
 
 Qualifications Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in a data analyst or business analyst role.
 </li>
 <li>
 Proficiency in SQL and working knowledge of Python (Pandas, NumPy, etc.).
 </li>
 <li>
 Experience with data visualization (Tableau, Power BI, SuperSet) Strong Excel/Google Sheets skills.
 </li>
 <li>
 Comfortable working with large datasets and drawing actionable insights.
 </li>
 <li>
 Detail-oriented, with a problem-solving mindset and a proactive attitude.
 </li>
 <li>
 Preferred Skills Exposure to SuperSet, GA4, NoSQL, CAC, LTV Jira, Confluence
 </li>
 <li>
 Understanding of business metrics in the mobility, logistics, or SaaS industry is a plus.
 </li>
 <li>
 Ability to work in a fast-paced startup environment.
 </li>
 <li>
 Understanding and experience of data pipelines / ETL concepts is preferred.
 </li>
 </ul>
</div>

Junior Data Analyst

<div>Who we are:
GMG is a global well-being company retailing, distributing and manufacturing a portfolio of leading international and home-grown brands across sport, everyday goods, health and beauty, properties and logistics sectors. Under the ownership and management of the Baker family for over 45 years, GMG is a valued partner of choice for the world's most successful and respected brands in the well-being sector. Working across the Middle East, North Africa, and Asia, GMG has introduced more than 120 brands across 12 countries. These include notable home-grown brands such as Sun &amp; Sand Sports, Dropkick, Supercare Pharmacy, Farm Fresh, Klassic, and international brands like Nike, Columbia, Converse, Timberland, Vans, Mama Sita's, and McCain.
Role Summary:
 
We are seeking a visionary Director of Data and Intelligence to lead our data strategy, analytics, and business intelligence initiatives in a fast-paced retail environment. This role will drive data-driven decision-making across the organization by leveraging advanced analytics, AI/ML, and business intelligence tools. The ideal candidate will have a deep understanding of retail operations, customer behavior, supply chain, and merchandising, combined with strong technical expertise in data platforms, AI, and predictive modeling.
As a key leader within the Technology team, you will collaborate with executive leadership, merchandising, marketing, supply chain, and store operations to unlock insights that enhance customer experience, optimize operations, and drive revenue growth.
Responsibilities:
Data Strategy &amp; Leadership<ul><li>Define and execute the enterprise-wide data and intelligence strategy, ensuring alignment with business goals.</li><li>Lead team to create policy and guardrails for safe usage of AI at GMG</li><li>Lead a high-performing team of data scientists, engineers, and analysts to deliver actionable insights.</li><li>Partner with the senior leadership to integrate data-driven decision-making into all aspects of the retail business.</li><li>Champion a data-first culture, ensuring data governance, quality, and security best practices.</li></ul>
Business &amp; Retail Analytics<ul><li>Develop advanced predictive and prescriptive analytics to optimize pricing, inventory, demand forecasting, and customer personalization.</li><li>Leverage AI/ML models to enhance customer segmentation, recommendation engines, and loyalty programs.</li><li>Provide insights into omnichannel retail performance, including e-commerce, in-store, and mobile commerce.</li><li>Analyze market trends, competitive intelligence, and customer behaviour to identify growth opportunities.</li></ul>
Technology &amp; Data Infrastructure<ul><li>Oversee the selection, implementation, and optimization of data platforms (e.g., cloud data warehouses, BI tools, CDPs).</li><li>Drive the adoption of modern data stack (ETL, data lakes, real-time analytics) to enable scalable insights.</li><li>Ensure seamless integration of data across POS, CRM, ERP, and supply chain systems.</li><li>Evaluate and implement AI/ML solutions to automate and enhance retail operations.</li></ul> 

Stakeholder Collaboration<ul><li>Partner with Marketing to optimize customer acquisition, retention, and personalized campaigns.</li><li>Work with Merchandising &amp; Supply Chain to improve demand forecasting and inventory efficiency.</li><li>Support Store Operations with workforce analytics and performance optimization.</li><li>Collaborate with IT &amp; Engineering to ensure scalable and secure data architecture.</li></ul>
People Management
The incumbent holds no direct supervisory responsibilities but is expected to engage effectively within their function and collaboratively across cross-functional teams. This role contributes meaningfully, whether through operational contributions and/or by offering specialized expertise, guidance, and support, to ensure alignment with either functional and/or strategic organizational goals and objectives.
Technical Competencies:<ul><li>Strategic thinking and data leadership</li><li>Advanced analytics and predictive modeling</li><li>Data architecture and infrastructure design</li><li>AI/ML model deployment in a retail setting</li><li>Business intelligence and reporting (Power BI, Tableau)</li><li>Cloud data platforms (AWS, Azure, GCP), Languages SQL, Python, R</li><li>Excellent stakeholder management and communication</li><li>Strong program and team management</li></ul>
Experience:<ul><li>15+ years of experience in data science, analytics, or business intelligence, with at least 5 years in a leadership role.</li><li>Deep retail industry expertise (e.g., merchandising, supply chain, e-commerce, customer analytics).</li></ul>
Expertise in developing AI Data, experience in handling enterprise -scale data systems.<ul><li>Proven track record of building scalable data platforms and deploying predictive analytics in retail.</li><li>Experience with cloud platforms (AWS, Azure, GCP) and real-time data processing.</li></ul></div>

Director - Data and Intelligence

MultiBank Group

<div>
 
 Welcome to
 
 MultiBank Group
 
 , a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
 
 
 
 
 
 Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
 
 
 Role Overview
 
 
 
 
 
 The
 
 Head of AI &amp; BI Reporting
 
 will lead MultiBank Group&rsquo;s enterprise-wide AI, Business Intelligence, Data Analytics, and Reporting functions. This strategic leadership role is responsible for building a data-driven culture, driving AI adoption across the organization, and delivering advanced analytics capabilities that support business growth, operational excellence, customer engagement, and executive decision-making.
 
 
 
 
 
 The successful candidate will oversee AI initiatives, predictive analytics, BI reporting, customer intelligence, experimentation frameworks, and enterprise analytics platforms while leading a multidisciplinary team of Data Scientists, BI Analysts, Data Engineers, and AI Specialists. This role will serve as a key advisor to executive leadership, transforming complex data into actionable business strategies.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 AI Strategy &amp; Leadership
 
 <ul>
 <li>
 Define and execute the Group-wide AI, Analytics, and Business Intelligence strategy aligned with corporate objectives.
 </li>
 <li>
 Lead the development and deployment of AI, Machine Learning, Generative AI, predictive analytics, and intelligent automation solutions across business functions.
 </li>
 <li>
 Establish AI governance frameworks, model monitoring standards, explainability practices, and responsible AI policies.
 </li>
 <li>
 Identify opportunities where AI, machine learning, and advanced analytics can improve revenue growth, customer engagement, retention, operational efficiency, and risk management.
 </li>
 <li>
 Evaluate emerging AI technologies, platforms, and tools to maintain competitive advantage within the financial services sector.
 </li>
 </ul>
 
 
 
 
 Business Intelligence &amp; Advanced Analytics
 
 <ul>
 <li>
 Build end-to-end analytical frameworks to evaluate the customer lifecycle, including acquisition, activation, retention, monetization, and customer lifetime value.
 </li>
 <li>
 Develop enterprise-wide KPI frameworks and executive dashboards to monitor business performance across trading, operations, marketing, finance, and customer experience.
 </li>
 <li>
 Leverage outputs from machine learning models, including churn prediction, customer lifetime value (LTV), propensity scoring, and recommendation engines, to drive predictive decision-making.
 </li>
 <li>
 Design advanced customer segmentation models using clustering techniques such as K-Means, Hierarchical Clustering, and DBSCAN combined with behavioral feature engineering.
 </li>
 <li>
 Perform deep funnel analysis using event-level data, clickstream analytics, customer journeys, and platform interaction data to identify optimization opportunities.
 </li>
 <li>
 Apply attribution modeling methodologies, including rule-based attribution, probabilistic attribution, and Marketing Mix Modeling (MMM), to evaluate marketing effectiveness and ROI.
 </li>
 <li>
 Translate complex datasets, predictive model outputs, and AI-generated insights into commercially actionable recommendations for executive stakeholders.
 </li>
 </ul>
 
 
 
 
 Experimentation &amp; Optimization
 
 <ul>
 <li>
 Design, implement, and evaluate experimentation frameworks, including A/B testing, multivariate testing, and uplift modeling with statistical rigor.
 </li>
 <li>
 Establish best practices for hypothesis testing, experimentation governance, and measurement methodologies across business functions.
 </li>
 <li>
 Monitor and optimize key metrics such as customer acquisition cost, activation rates, retention, engagement, churn, conversion, and lifetime value.
 </li>
 </ul>
 
 
 
 
 Data Engineering &amp; Reporting
 
 <ul>
 <li>
 Oversee the development of scalable analytics pipelines using SQL, Python, and cloud-based data platforms.
 </li>
 <li>
 Build automated reporting, forecasting, monitoring, and anomaly detection solutions using AI-powered analytics tools.
 </li>
 <li>
 Ensure data quality, consistency, governance, and regulatory compliance across all reporting and analytics environments.
 </li>
 <li>
 Manage large-scale structured, semi-structured, and event-driven datasets from trading platforms, CRM systems, marketing technologies, web applications, and third-party data sources.
 </li>
 <li>
 Drive self-service analytics capabilities across the organization through modern BI tools and data democratization initiatives.
 </li>
 </ul>
 
 
 
 
 Leadership &amp; Stakeholder Management
 
 <ul>
 <li>
 Lead, mentor, and scale high-performing teams across AI, Data Science, Business Intelligence, Analytics, and Reporting functions.
 </li>
 <li>
 Partner with Product, Marketing, Technology, Trading, Finance, Risk, Compliance, and Operations teams to align analytics initiatives with business objectives.
 </li>
 <li>
 Present strategic insights, AI roadmaps, and performance updates to senior management and executive leadership.
 </li>
 <li>
 Foster a culture of experimentation, innovation, and data-driven decision-making across the organization.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Requirements
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or a related field.
 </li>
 <li>
 10+ years of experience in Analytics, Business Intelligence, Data Science, AI, or related disciplines, with at least 5 years in a leadership position.
 </li>
 <li>
 Proven experience building and leading enterprise AI, BI, and analytics functions within financial services, fintech, banking, capital markets, or technology-driven organizations.
 </li>
 <li>
 Strong expertise in SQL and large-scale data transformation, modeling, and analytics.
 </li>
 <li>
 Advanced Python skills, including experience with Pandas, NumPy, SciPy, Statsmodels, Scikit-Learn, and related analytical libraries.
 </li>
 <li>
 Strong understanding of statistical modeling, hypothesis testing, predictive analytics, and machine learning methodologies.
 </li>
 <li>
 Experience evaluating model performance using metrics such as Precision, Recall, F1 Score, ROC-AUC, Lift, Incrementality, and business impact measures.
 </li>
 <li>
 Hands-on experience with data visualization and BI platforms such as Power BI, Tableau, Looker, or Qlik.
 </li>
 <li>
 Experience with product analytics platforms including Amplitude, Mixpanel, Google Analytics 4 (GA4), or similar tools.
 </li>
 <li>
 Strong knowledge of cohort analysis, retention modeling, funnel optimization, customer segmentation, and LTV analysis.
 </li>
 <li>
 Experience with A/B testing frameworks, experimental design, and causal inference methodologies.
 </li>
 <li>
 Familiarity with cloud analytics environments and modern data platforms such as AWS, Azure, Google Cloud, Snowflake, Databricks, or equivalent.
 </li>
 <li>
 Experience leveraging AI-powered analytics solutions, copilots, and automation tools for reporting, forecasting, anomaly detection, and business intelligence.
 </li>
 <li>
 Strong understanding of financial products, trading platforms, CFDs, Forex, Cryptocurrency, or capital markets is highly desirable.
 </li>
 </ul>
 
 
 
 
 
 Preferred Profile
 
 
 <ul>
 <li>
 Experience implementing Generative AI, Large Language Models (LLMs), AI assistants, and intelligent automation solutions at enterprise scale.
 </li>
 <li>
 Strong knowledge of MLOps, model lifecycle management, and production AI deployment frameworks.
 </li>
 <li>
 Proven track record of building analytics centers of excellence and scaling high-performing AI and BI teams.
 </li>
 <li>
 Experience working within highly regulated financial environments.
 </li>
 <li>
 Exceptional leadership, communication, stakeholder management, and strategic planning skills.
 </li>
 <li>
 Passion for leveraging AI and advanced analytics to transform business performance and customer experiences.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Lead the AI and Business Intelligence transformation of one of the world's leading financial derivatives institutions.
 </li>
 <li>
 Shape the future of AI-powered decision-making, predictive intelligence, and customer analytics across a global organization.
 </li>
 <li>
 Competitive salary plus performance-based incentives.
 </li>
 <li>
 Access to a dynamic, international, and fast-growing environment.
 </li>
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 Strong opportunities for career progression within a global financial group.
 </li>
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 Work alongside world-class technology, data, and business professionals.
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 Be part of a business committed to innovation, excellence, and long-term growth.
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 </ul>
 
 
 
 
 
 Become part of our international community at MultiBank Group, dedicated to excellence,
 
 
 
 
 innovation, and shaping the future of AI-driven finance.
 
 
</div>

Head of AI & BI Reporting

AIQU

<div>
 
 We are hiring
 
 Data Analyst
 
 to join one of our major clients based in
 
 Dubai, UAE.
 
 
 
 
 
 
 Job Location - Dubai, UAE
 
 
 Job Type - 12 months Contract (Extendable)
 
 
 
 
 
 
 About Role
 
 
 
 We are seeking a detail-oriented and analytical Data Analyst with experience in Anti-Money Laundering (AML) to support our AML team.
 
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 3&ndash;8 years of experience as a Data Analyst with AML domains.
 </li>
 <li>
 Strong proficiency in Azure Data Lake- SQL for data extraction, transformation, and analysis.
 </li>
 <li>
 Experience with data visualization and reporting tools such as Power BI.
 </li>
 <li>
 Knowledge of AML, KYC related domains.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
</div>

Data Analyst

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