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Johnson & Johnson MedTech

<div>
 At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
 
 
 As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
 
 
 
 Job Function
 
 
 
 Data Analytics &amp; Computational Sciences
 
 
 
 Job Sub Function
 
 
 
 Business Intelligence
 
 
 
 Job Category
 
 
 
 Professional
 
 
 
 All Job Posting Locations:
 
 
 
 Dubai, United Arab Emirates
 
 
 
 Job Description
 
 
 
 Position Summary
 
 
 The Business Intelligence and Market Insights Lead will own and optimize the Quick Business Intelligence (QBI) forecasting process, drive in-market sales cadence and market intelligence, develop automated data pipelines and dashboards, and produce actionable insights that enable commercial decision-making. This role partners closely with Commercial, Finance, Supply Chain, and regional stakeholders to ensure timely, accurate, and decision-ready analytics.
 
 
 Key Roles &amp; Responsibilities
 
 
 
 QBI Process
 
 
 
 <ul>
 <li>
 Lead the weekly forecasting process to ensure all respective franchise teams provide analysis and insights on expected performance and landing for the month and full quarter.
 </li>
 <li>
 Identify risks and opportunities to support market execution in line with financial targets.
 </li>
 <li>
 Lead the maintenance of data pipelines that enable an advanced and automated Quick Business Intelligence process and integrate with daily sales.
 
 
 </li>
 </ul>
 
 Market Intelligence
 
 
 
 <ul>
 <li>
 Lead the in-market sales cadence: collect inputs from distributors, validate data, process and analyze, generate insights, and run action registers through to closure.
 </li>
 <li>
 Develop market and competitor analytics including market sizing, share, price/mix, and elasticity; generate insight packs for leadership and country commercial teams.
 </li>
 <li>
 Analyze business performance and growth drivers including pricing, portfolio, customer health, distributor stock risk, corrective actions and benefit tracking.
 </li>
 <li>
 Support forecasting and scenario planning: baseline and what-if analyses, assumptions, sensitivities, and driver narratives.
 </li>
 <li>
 Drive adoption of Hubble and dashboard tools for distributors, prioritize enhancements, create templates and glossaries, run trainings, and maintain feedback loops.
 </li>
 <li>
 Analyze market trends and opportunities, including digital and artificial intelligence use cases, to prioritize high-impact MedTech initiatives.
 
 
 </li>
 </ul>
 
 Data Analysis, Automation, and Reporting
 
 
 
 <ul>
 <li>
 Partner with Commercial and Finance to frame hypotheses; define KPIs and semantic definitions; perform analyses and scenario modeling; present findings as required.
 </li>
 <li>
 Develop comprehensive reports and presentations that transform complex data into clear, actionable insights.
 </li>
 <li>
 Promote self-service analytics through improved dashboards and reports to enhance collaboration across the organization.
 </li>
 <li>
 Develop reusable data assets that address stakeholder demand across functions.
 </li>
 <li>
 Lead the design and implementation of data pipelines that enable advanced and automated business intelligence processes and integrate with other systems.
 
 
 </li>
 </ul>
 
 Dashboard Development
 
 
 
 <ul>
 <li>
 Develop dashboards to meet business needs, own the technical plan (data readiness, refresh service level objectives, contingency) and participate in business readouts; quantify impact of releases.
 </li>
 <li>
 Optimize compute/storage, refresh performance, capacity planning, and automate dashboard refresh and analysis within budget guardrails.
 
 
 </li>
 </ul>
 
 Main Performance Measures
 
 
 
 <ul>
 <li>
 QBI processes executed with excellence; stakeholder follow-ups finalized on time.
 </li>
 <li>
 Cadence outputs are decision-ready, timely, and actionable for leadership.
 </li>
 <li>
 Dashboards are adopted and trusted by intended audiences; feedback used to iterate.
 </li>
 <li>
 Data issues are triaged with clear narratives and owners; definitions remain stable and documented.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Economics, Engineering, Analytics, or related field required.
 </li>
 <li>
 Minimum of three years of experience in analytics or research operations; regional analytics exposure and stakeholder leadership across Sales, Finance, and Supply Chain preferred.
 </li>
 <li>
 Experience in the medical device or MedTech industry preferred.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 Productivity: Advanced Microsoft 365 skills, particularly PowerPoint and Excel.
 </li>
 <li>
 BI &amp; Visualization: Power BI (dataset optimization, data modeling, query building); familiarity with Tableau or QlikView.
 </li>
 <li>
 Market Intelligence: Experience with distributor analytics, forecasting fundamentals, and market research/survey tools.
 </li>
 <li>
 Business &amp; Reporting: Business partnering experience and KPI design capability.
 </li>
 <li>
 Security &amp; Governance: Knowledge of security-by-design practices for data solutions.
 </li>
 <li>
 Strong commercial acumen and understanding of pricing and go-to-market strategies.
 </li>
 <li>
 Advanced analytical skills with ability to synthesize data into strategic direction and executable plans.
 </li>
 <li>
 Excellent communication and stakeholder influence skills within a matrix organization.
 </li>
 <li>
 Problem-solving orientation, strategic mindset, and ability to operate in a fast-paced environment.
 </li>
 <li>
 High attention to detail, rigor, discipline, and strong ownership.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Programming &amp; Automation: SQL (intermediate to advanced), Python (pandas, PySpark), scripting and workflow automation.
 </li>
 <li>
 Data engineering familiarity: Data warehouse concepts, dbt basics, Power Automate for approvals/alerts, Git discipline.
 </li>
 <li>
 Analytics &amp; Machine Learning: Statistical analysis, forecasting methods, and exposure to ML algorithms (classification, regression, clustering, NLP).
 
 
 </li>
 </ul>
 
 Other
 
 
 
 <ul>
 <li>
 Travel: No travel required.
 </li>
 <li>
 Ability to work through ambiguity, organized and meticulous with strong follow-through.
 </li>
 <li>
 Calm under pressure, collaborative, respectful, and decisive when needed.
 </li>
 <li>
 Fluent in English; proficiency in Arabic is a plus.
 
 
 </li>
 </ul>
 For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.
 
 
 Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
 
 
 Johnson &amp; Johnson is committed to providing an interview process that is inclusive of our applicants&rsquo; needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
 
 
 #DePuySynthesCareers
 
 
 
 Required Skills
 
 
 
 
 Preferred Skills:
 
 
 
 Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Integration, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Management Systems Implementation, Problem Solving, Process Oriented, Project Management, Statistical Analysis Systems (SAS) Programming, Workflow Analysis
 
 
</div>

Business Intelligence Analyst MEA

DICETEK LLC

<div>The Business Analyst &mdash; Power BI, Power Automate &amp; Data is a pivotal programme resource for Project, responsible for bridging the gap between raw legacy data and actionable business intelligence during. This role combines deep data extraction and modelling capability with hands-on Power BI dashboard development and Power Automate workflow automation, enabling to maintain business visibility, improve process efficiency, and support data-driven decision-making throughout the critical transition period from legacy systems to Oracle Fusion Cloud.
The role operates across all functional domains &mdash; Finance, Projects, and HR &mdash; working closely with the Data Analysts to develop consolidated data models that span Sage Evolution, Deltek Vantagepoint, Smart HR and other sources like Excel. This is a unique, high-impact position that serves both the programme and the business simultaneously. 
Essential Requirements<ul><li>Minimum 4 years' experience as a Business Analyst or BI Developer</li><li>Expert-level Power BI: data modelling, DAX, Power Query (M), RLS, workspaces, gateway management</li><li>Hands-on Power Automate: cloud flows, approval workflows, scheduled triggers, Microsoft 365 connectors</li><li>Proficiency in SQL for data extraction, transformation, and validation across relational databases</li><li>Experience extracting data from ERP or finance systems (Sage, SAP, Oracle, Dynamics, or similar)</li><li>Advanced Microsoft Excel: Power Query, pivot tables, dynamic arrays, data modelling</li><li>Experience with data from project management or PSA systems (Deltek, Project Online, or similar)</li><li>Strong data modelling skills: star schema, fact/dimension tables, relationship management</li><li>Ability to conduct requirements workshops and translate business needs into technical BI solutions</li><li>Bachelor's degree in Business, Information Systems, Computer Science, or related field</li></ul> 
Desirable / Advantageous<ul><li>Microsoft PL-300 (Power BI Data Analyst) certification</li><li>Microsoft Power Platform (PL-200) certification</li><li>Experience with Oracle Fusion OTBI, Oracle Analytics Cloud, or BIP (BI Publisher)</li><li>Familiarity with Sage Evolution reporting or database schema</li><li>Experience with Deltek Vantagepoint reporting APIs or database</li><li>Knowledge of Oracle Fusion Cloud data structures for GL, AP, AR, PPM, and HCM</li><li>Experience in ERP implementation or system migration programmes</li><li>Python for data extraction, transformation, or automation scripting</li><li>Familiarity with Azure Data Factory, Dataverse, or SharePoint as data sources in Power Platform</li><li>GCC / UAE industry experience (Construction, leisure, real estate, or professional services)</li></ul></div>

SQL and Power BI Data Engineer

Amazon

<div>
 
 Description
 
 
 
 Our team, Amazon Now (Quick Commerce) &ndash; MENA, supports the rapid-delivery grocery and convenience business across the Middle East and North Africa. We partner closely with regional stakeholders across Operations, Supply Chain, Vendor Management, Instock, Pricing, Marketing, and Last-Mile Delivery to drive best-in-class customer experience in ultra-fast commerce.
 
 
 The ideal candidate will perform deep-dive analyses to identify root causes of operational inefficiencies, develop data-backed recommendations, and build dashboards and reporting mechanisms that enable leadership to monitor performance in near real time. This role will also support forecasting and capacity planning to ensure service-level targets are met while balancing cost and operational efficiency.
 
 
 You will work closely with regional and country teams to ensure data accuracy, surface performance trends, and drive continuous improvement initiatives across Amazon Now markets.
 
 
 Key job responsibilities
 
 
 Design, build, and maintain operational dashboards and reporting to track core Quick Commerce metrics (e.g., service levels, speed, efficiency, capacity utilization)
 
 
 Support short-term and mid-term planning and forecasting for demand, capacity, and operational resources
 
 
 Drive visibility into actual vs expected performance, enabling real-time and retrospective performance management
 
 
 Monitor and analyze efficiency and quality metrics across stores, regions, and countries
 
 
 Conduct root-cause analyses on performance gaps and operational misses, and quantify business impact
 
 
 Partner with Operations Managers (OMs), Program Managers (PMs), and central teams to support business reviews, WBRs, and deep dives
 
 
 Communicate insights clearly to senior stakeholders through executive-ready narratives and recommendations
 
 
 Ensure data quality, consistency, and metric definitions across reporting and analytical outputs
 
 
 Proactively identify trends and risks that may impact customer experience, speed, or cost
 
 
 Develop and recommend process optimization and efficiency improvements across the Amazon Now operating model
 
 
 Work autonomously in a fast-paced environment while managing multiple priorities and timelines
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience with SQL or ETL
 </li>
 <li>
 Bachelor's degree or equivalent in Business, Economics, Analytics, or a related field
 </li>
 <li>
 Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
 </li>
 <li>
 Experience measuring key operational metrics (e.g., order cycle time, ship estimate accuracy, on-time and complete shipment, inventory record defect rate)
 </li>
 <li>
 Experience that includes strong analytical skills, attention to detail, and effective communication abilities
 </li>
 <li>
 Experience working with data mining on large datasets
 </li>
 <li>
 Experience within business analyst, data analyst or similar role (including internships)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with advanced use of SQL for data mining and business intelligence, or experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Q-Express Documents Transport - G25
 
 
 Job ID: A3162639
</div>

Business Analyst - UAE Nationals, Strategic Initiatives

HungerStation | هنقرستيشن

<div>
 Hungerstation is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 
 Role Overview
 
 
 
 We are looking for a detail-oriented and analytical
 
 Associate Data Analyst
 
 -
 
 UAE Nationals only
 
 to support business and product teams with data insights. This role is ideal for someone early in their analytics career who is eager to learn, work closely with cross-functional stakeholders, and grow within a high-impact environment.
 
 
 You will work with large datasets, build dashboards, support reporting needs, and contribute to data-driven decision-making across teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Extract, clean, and analyze data using SQL and other analytical tools
 </li>
 <li>
 Build and maintain dashboards (e.g., Tableau, Power BI, Looker, etc.) to monitor key business metrics
 </li>
 <li>
 Support ad-hoc analysis requests from Product, Operations, Marketing, and other stakeholders
 </li>
 <li>
 Identify trends, anomalies, and performance improvement opportunities
 </li>
 <li>
 Assist in defining KPIs and tracking performance across different initiatives
 </li>
 <li>
 Ensure data accuracy and consistency across reports
 </li>
 <li>
 Work closely with senior analysts and data engineers to improve data quality and processes
 </li>
 <li>
 Translate data findings into clear, actionable insights for non-technical stakeholders
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Experience &amp; Background
 
 
 
 <ul>
 <li>
 2-3 years of experience in data analysis, business intelligence, or similar role
 </li>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Economics, or a related quantitative field
 </li>
 <li>
 Strong academic background is a plus
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong SQL skills (must-have)
 </li>
 <li>
 Basic understanding of data modeling concepts
 </li>
 <li>
 Experience with Excel / Google Sheets (advanced formulas, pivot tables)
 </li>
 <li>
 Exposure to BI tools (Tableau, Power BI, Looker, etc.) is preferred
 </li>
 <li>
 Basic understanding of Python or R is a plus
 
 
 </li>
 </ul>
 
 Analytical &amp; Soft Skills
 
 
 
 <ul>
 <li>
 Strong logical thinking and problem-solving skills
 </li>
 <li>
 Ability to work with large datasets and attention to detail
 </li>
 <li>
 Good communication skills, able to explain insights in simple business language
 </li>
 <li>
 Eagerness to learn and grow in a fast-paced environment
 </li>
 <li>
 Ability to manage multiple priorities
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What You&rsquo;ll Gain
 
 
 
 <ul>
 <li>
 Exposure to high-impact projects across Product, Growth, and Operations
 </li>
 <li>
 Opportunity to work in a data-driven tech environment
 </li>
 <li>
 Strong mentorship and learning curve
 </li>
 <li>
 Career progression within Data &amp; Analytics
 </li>
 </ul>
</div>

Associate Data Analyst- UAE Nationals only

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; Data Analyst
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; UAE
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Data Analyst &ndash; Banking Domain
 
 
 
 
 
 
 
 Role Summary
 
 
 
 The Data Analyst will be responsible for analyzing banking and financial data to generate actionable insights, support business decision-making, and ensure high data quality. The role requires strong analytical skills, proficiency in SQL, expertise in data visualization and BI tools, and a solid understanding of banking domain metrics, processes, and regulations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Perform
 
 data analysis
 
 on large banking datasets to identify trends, patterns, and business insights
 </li>
 <li>
 Write and optimize
 
 SQL queries
 
 to extract, transform, and validate data from relational databases and data warehouses
 </li>
 <li>
 Develop and maintain
 
 interactive dashboards and reports
 
 using BI and data visualization tools
 </li>
 <li>
 Partner with business stakeholders to understand requirements and translate them into analytical solutions
 </li>
 <li>
 Ensure
 
 data quality, accuracy, and consistency
 
 through validation checks, reconciliations, and issue resolution
 </li>
 <li>
 Monitor key banking KPIs such as customer metrics, transactions, risk indicators, profitability, and operational performance
 </li>
 <li>
 Support regulatory, compliance, and audit-related data requirements where applicable
 </li>
 <li>
 Document data definitions, business rules, and reporting logic for transparency and reuse
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Strong experience in
 
 Data Analysis and problem-solving
 
 </li>
 <li>
 Advanced proficiency in
 
 SQL
 
 (complex joins, subqueries, performance tuning)
 </li>
 <li>
 Hands-on experience with
 
 Data Visualization and BI Tools
 
 (Power BI, Tableau, Qlik, or similar)
 </li>
 <li>
 Solid understanding of
 
 Data Quality concepts
 
 including data validation, reconciliation, and exception handling
 </li>
 <li>
 Good knowledge of the
 
 Banking Domain
 
 (retail banking, corporate banking, risk, finance, payments, or compliance)
 </li>
 <li>
 Experience working with structured datasets from RDBMS or data warehouses
 </li>
 <li>
 Ability to clearly communicate insights to both technical and non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 Application Deadline: 11-June-2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
 
 
</div>

Data Analyst

CSi - LANDMARK GROUP

<div>
 
 
 CSi
 
 is a
 
 new, integrated business unit under Landmark Group
 
 , bringing together the most critical growth-driving capabilities into one unified engine. We are building the next phase of our growth&mdash;and at the center of it is a newly launched strategic division:
 
 CSi &ndash; Customer, Strategy &amp; Intelligence.
 
 This isn&rsquo;t just another team. This is
 
 where customer, data, product, and AI come together to shape the future of retail.
 
 It combines:
 
 <ul>
 <li>
 Data &amp; Analytics
 </li>
 <li>
 Loyalty (Shukran)
 </li>
 <li>
 Partnerships &amp; Co-brands
 </li>
 <li>
 Performance &amp; Digital Marketing
 </li>
 <li>
 Customer Product &amp; Martech
 </li>
 </ul>
 
 
 
 
 
 CSi stands for
 
 
 <ul>
 <li>
 
 C &ndash; Customer (CX)
 
 &rarr; Building seamless, end-to-end customer journeys
 </li>
 <li>
 
 S &ndash; Strategy &amp; Analytics
 
 &rarr; Driving smarter business decisions through data
 </li>
 <li>
 
 i &ndash; Intelligence (AI + BI)
 
 &rarr; Powering everything with AI-led insights
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Own end-to-end analytics for ecommerce performance and performance marketing channels (Paid Search, Paid Social, Display, Affiliates, CRM)
 </li>
 <li>
 Analyze traffic, conversion, revenue, and customer behavior across channels (paid, organic, direct, CRM)
 </li>
 <li>
 Track and optimize campaign performance across platforms (Google Ads, Meta, DV360, etc.) with a focus on ROI and scalability
 </li>
 <li>
 Build and monitor core KPIs such as CAC, ROAS, LTV, conversion rate, retention, and funnel drop-offs
 </li>
 <li>
 Drive budget allocation and reallocation decisions based on performance insights and marginal ROI analysis
 </li>
 <li>
 Develop dashboards and automated reporting solutions using tools like Power BI / Tableau
 </li>
 <li>
 Work closely with marketing teams to improve campaign targeting, creatives, bidding strategies, and audience segmentation
 </li>
 <li>
 Perform cohort analysis, attribution modeling (last-click, multi-touch), and customer segmentation (RFM, behavioral, etc.)
 </li>
 <li>
 Evaluate channel contribution, incrementality, and campaign lift through structured measurement frameworks
 </li>
 <li>
 Identify growth opportunities through deep-dive analysis on campaigns, products, and customer journeys
 </li>
 <li>
 Build predictive models for demand forecasting, churn prediction, and campaign effectiveness
 </li>
 <li>
 Integrate data from multiple sources (GA4, CRM tools, ad platforms, data warehouses)
 </li>
 <li>
 Translate complex data into actionable business insights for leadership
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 6&ndash;7 years of experience in ecommerce analytics / performance marketing analytics
 </li>
 <li>
 Strong expertise in SQL and handling Databricks (BigQuery / similar preferred)
 </li>
 <li>
 Hands-on experience with Power BI (or similar BI tools)
 </li>
 <li>
 Strong understanding of performance marketing metrics (CAC, ROAS, CPC, CPM, CTR) and bidding strategies
 </li>
 <li>
 Experience working with ad platforms (Google Ads, Meta Ads, etc.), GA4, and CRM/campaign tools
 </li>
 <li>
 Solid understanding of attribution models and marketing measurement frameworks
 </li>
 <li>
 Strong analytical thinking with ability to connect data to business impact
 </li>
 <li>
 Exposure to Python / predictive modeling is a strong plus
 </li>
 <li>
 Ability to work cross-functionally with marketing, product, and tech teams
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience in retail / ecommerce environments
 </li>
 <li>
 Knowledge of customer lifecycle and loyalty analytics
 </li>
 <li>
 Familiarity with experimentation (A/B testing frameworks, incrementality testing)
 </li>
 <li>
 Exposure to CDPs or marketing automation tools
 </li>
 <li>
 Experience with marketing mix modeling (MMM) or advanced attribution is a plus
 </li>
 </ul>
 
 
 
 
 
 Why join CSi?
 
 
 
 This is where your role becomes bigger than just a job. You&rsquo;ll get to:
 
 <ul>
 <li>
 Work at the intersection of
 
 Product, Data, AI, and Customer Experience
 
 </li>
 <li>
 Build solutions that impact
 
 millions of customers across multiple brands
 
 </li>
 <li>
 Be part of a
 
 high-ownership, high-visibility team
 
 </li>
 <li>
 Solve real business problems&mdash;not just execute tasks
 </li>
 <li>
 Shape how
 
 modern retail operates in the region
 
 </li>
 </ul>
 
 
 
 
 
 Who should apply?
 
 
 
 If you are someone who:
 
 <ul>
 <li>
 Thinks
 
 customer-first
 
 </li>
 <li>
 Loves solving problems using
 
 data and technology
 
 </li>
 <li>
 Wants to work on
 
 AI, Martech, Product, or Analytics
 
 </li>
 <li>
 Enjoys working in a
 
 fast-paced, high-impact environment
 
 </li>
 </ul>
 
 
 CSi is where you should be.
 
 
 
 
 
 
 We&rsquo;re not just hiring for roles. We&rsquo;re building the
 
 future of customer intelligence at scale.
 
 
 
 If you want to be part of something that is
 
 strategic, visible, and truly impactful&mdash;this is your moment.
 
 
</div>

Melodica Music Academy

We are seeking an experienced Business/Data Analyst with a strong background in Power BI, Python, and Microsoft Dynamics 365 to drive data-driven decision-making across the organization.Key Responsibilities:<ul><li>Design, develop, and maintain advanced Power BI dashboards and reports</li><li>Translate complex business requirements into meaningful insights and visualizations</li><li>Analyze large datasets to identify trends, patterns, and performance gaps</li><li>Collaborate with stakeholders to define KPIs and reporting frameworks</li><li>Ensure high accuracy, data integrity, and consistency in reporting</li><li>Automate data processes and improve reporting efficiency</li></ul>Technical Skills:<ul><li>Expert-level Power BI (dashboard development, data modeling, reporting)</li><li>Strong knowledge of DAX formulas</li><li>Proficiency in Python (data handling, automation, analysis)</li><li>Hands-on experience with Microsoft Dynamics 365</li><li>Strong SQL skills for querying and data manipulation</li><li>Experience with Power Query (ETL, data transformation)</li><li>Advanced Excel (Pivot Tables, XLOOKUP, Power Pivot, dashboards)</li></ul>Core Competencies:<ul><li>Strong analytical and problem-solving mindset</li><li>Ability to handle large and complex datasets</li><li>Excellent communication and stakeholder management skills</li><li>Strong understanding of business processes and reporting needs</li><li>High attention to detail and accuracy</li></ul>Location: Dubai Experience: Minimum 4 years requiredApplication Question(s):<ul><li>Do you have experience using Power BI?</li><li>Do you have experience using Microsoft Dynamics 365 software?</li><li>Have you deployed a Python web app on any platform?</li><li>Do you have experience building dashboards using Python?</li></ul>Work Location: In person

Data Analysis Lead

Explore 1002+ Business intelligence analyst in Dubai this June. Find roles across top companies and apply now to boost your career.

1002 business intelligence analyst jobs In Dubai

Business Intelligence Analyst MEA

SQL and Power BI Data Engineer

Business Analyst - UAE Nationals, Strategic Initiatives

Associate Data Analyst- UAE Nationals only

Data Analyst

Data Analyst

Data Analysis Lead