business systems analyst

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

Eaton

<div>
 
 What You&rsquo;ll Do
 
 
 
 The Project Controlling Data Analyst supports the Project Services Product Line by building and maintaining reporting tools, templates, and dashboards that facilitate project data consolidation and performance analysis.
 
 
 As the project business grows in size and complexity, this role will act as the data and reporting partner for Project Controllers, Project Analysts, Project Managers, and leadership. It will help maintain and improve key reporting tools such as Excel project charters, Power BI, Salesforce, SAP PS, BW, and Oracle, while also supporting AI use cases to improve project management efficiency, data quality, and performance insights.
 
 
 
 Key Responsibilities
 
 
 
 
 Reporting Tool Development and Maintenance
 
 
 
 <ul>
 <li>
 Build, maintain, and improve reporting templates and dashboards to support project controlling activities across the project lifecycle.
 </li>
 <li>
 Develop standard reporting formats in Excel, Power BI, Salesforce, SAP PS, BW, Oracle, and other relevant tools.
 </li>
 <li>
 Automate and simplify recurring reporting processes to reduce manual workload for Project Controllers and Project Analysts.
 
 
 
 </li>
 </ul>
 
 Support to Project Data Consolidation
 
 
 
 <ul>
 <li>
 Provide structured templates and reporting frameworks to facilitate data consolidation by the Project Controlling team.
 </li>
 <li>
 Support Project Controllers by ensuring reporting inputs are organized, consistent, and easy to use for project reviews and business discussions.
 
 
 
 </li>
 </ul>
 - Identify data gaps, inconsistencies, or quality issues and highlight them to the relevant Project Controller or data owner.-
 
 
 
 Project Performance Reporting and Analysis Support
 
 
 
 <ul>
 <li>
 Prepare visual reports and dashboards to support discussions on project revenue, costs, margin, forecast, risks, opportunities, and change scope.
 </li>
 <li>
 Support Project Controllers, Project Analysts, Project Managers, and Project Team Leaders with clear data views for decision-making.
 </li>
 <li>
 Contribute to project reviews, backlog reviews, forecast reviews, and leadership reporting by providing reliable reporting outputs.
 
 
 
 </li>
 </ul>
 
 Data Alignment Across Systems
 
 
 
 <ul>
 <li>
 Support alignment between project operational data and corporate reporting systems such as BW, Oracle, SAP PS, Salesforce, and Power BI.
 </li>
 <li>
 Help investigate differences between project team data and corporate reporting figures.
 </li>
 <li>
 Work with Project Controllers, Finance, IT, and data owners to improve data consistency and reporting reliability.
 
 
 
 </li>
 </ul>
 
 Continuous Improvement, Automation, and AI Support
 
 
 
 <ul>
 <li>
 Identify opportunities to improve reporting efficiency, standardization, and data quality across project teams.
 </li>
 <li>
 Support automation and AI use cases that improve project management efficiency, reporting accuracy, and performance insights.
 </li>
 <li>
 Document reporting logic, templates, data definitions, and tool instructions to ensure consistency and sustainability.
 
 
 
 </li>
 </ul>
 
 Unique Aspects Of The Role
 
 
 
 <ul>
 <li>
 Dedicated role focused on improving reporting tools and reducing manual workload for Project Controllers and Project Analysts.
 </li>
 <li>
 Acts as a bridge between project execution teams, Project Controlling, Finance, IT, and corporate reporting systems.
 </li>
 <li>
 Supports project lifecycle discussions by providing clear, consistent, and visual performance reporting.
 </li>
 <li>
 Contributes to digitalization, automation, and AI use cases within project management and project controlling.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Analytics, Finance, Business Administration, Engineering, Information Systems, Computer Science, or related field. A Master&rsquo;s degree is a plus.
 
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in data analysis, business analysis, financial reporting, project controlling, project management reporting, or a similar analytical role.
 </li>
 <li>
 Experience in a project-based organization, industrial business, services business, engineering environment, or finance / controlling function is preferred.
 </li>
 <li>
 Strong skills in Excel, Power BI, and reporting tool development, including dashboard design, templates, data models, and automation.
 </li>
 <li>
 Good understanding of project data and financial indicators, including revenue, costs, margin, forecast, backlog, risks, opportunities, and change scope.
 </li>
 <li>
 Experience with SAP PS, Salesforce, BW, Oracle, or similar corporate reporting systems is preferred.
 </li>
 <li>
 Ability to improve data quality, reconcile data between systems, and document reporting logic and data definitions.
 </li>
 <li>
 Strong capability to use Microsoft Copilot and AI-enabled tools to improve reporting efficiency, automate recurring tasks, support data analysis, and generate project performance insights.
 </li>
 <li>
 Strong analytical mindset with attention to detail and ability to structure complex data clearly.
 </li>
 <li>
 Proactive and continuous-improvement oriented, with curiosity for digital tools, automation, and AI solutions.
 </li>
 <li>
 Good communication skills, able to translate data and reporting topics into clear messages for non-technical stakeholders.
 </li>
 <li>
 Collaborative approach with ability to work across Project Controlling, Project Management, Finance, IT, and business team
 </li>
 <li>
 Organized and reliable, able to manage priorities and meet reporting deadlines in a dynamic project environment.
 
 
 
 </li>
 </ul>
</div>

Project Controlling 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

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

SUMWON STUDIOS

<div>
 
 
 Designation: Onsite Analyst
 
 
 
 
 Location: Dubai, UAE
 
 
 
 
 
 
 
 About SUMWON STUDIOS
 
 
 
 
 Sumwon Studios
 
 is one of the fastest-growing fashion groups globally, building and scaling culturally driven brands across fashion, digital commerce and media. Our portfolio includes
 
 MISSGUIDED, SUMWON, BALR, Baby Phat, Playboy, AiiRZ, KiZN
 
 , and
 
 KSTM.
 
 
 
 
 
 
 Operating at the intersection of fashion, technology and culture, we are building a modern global retail platform driven by speed, creativity, data and customer obsession.
 
 
 
 
 
 
 The Role
 
 
 
 We are looking for a commercially driven and highly analytical
 
 Onsite Analyst
 
 to lead onsite optimisation, trading analysis and growth initiatives across our digital ecosystem.
 
 
 
 
 
 This role will sit at the centre of eCommerce performance, owning initiatives that improve customer experience, conversion, product discovery and commercial performance across the trading funnel.
 
 
 
 
 
 The ideal candidate combines strong analytical thinking with hands-on execution and project management capabilities. You will work cross-functionally with product, technology, merchandising, creative, operations and marketing teams to identify growth opportunities, execute experiments and improve key business KPIs.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 Growth and Commercial Optimisation
 
 <ul>
 <li>
 Identify, prioritise and execute commercial growth opportunities across the trading funnel, with a strong focus on product performance, customer behaviour and onsite experience.
 </li>
 <li>
 Optimise key revenue levers including Average Order Value (AOV), conversion rate, sell-through, repeat purchase rate and customer lifetime value.
 </li>
 <li>
 Design, manage and evaluate structured experiments across pricing, promotions, bundling, category merchandising and checkout flows.
 </li>
 <li>
 Use website analytics, trading data and customer behaviour insights to identify friction points, conversion drop-offs and revenue opportunities across categories and customer journeys.
 </li>
 <li>
 Collaborate closely with product, technology, design, operations and merchandising teams to deliver improvements that enhance user experience and drive top line growth.
 </li>
 <li>
 Support site performance optimisation initiatives focused on navigational UX, PLP/PDP effectiveness, checkout flow efficiency and feature rollouts.
 </li>
 <li>
 Build and maintain performance dashboards tracking key trading and business KPIs across product lines, customer segments and channels.
 </li>
 <li>
 Support cross-functional coordination by aligning teams on timelines, priorities and trading activities.
 </li>
 </ul>
 
 Onsite Trading and Merchandising
 
 <ul>
 <li>
 Support the daily operations of the eCommerce site, ensuring smooth functionality and escalating issues where required.
 </li>
 <li>
 Monitor site performance and implement improvements to enhance customer experience and drive conversions.
 </li>
 <li>
 Coordinate creative requirements from ideation and briefing through to final deployment.
 </li>
 <li>
 Collaborate with design and copy teams to develop and implement creative merchandising strategies and campaigns.
 </li>
 <li>
 Prepare and present regular reports to stakeholders on site performance, merchandising activity and project outcomes.
 </li>
 <li>
 Support timelines and deliverables for onsite merchandising and creative projects, ensuring accurate and timely execution.
 </li>
 <li>
 Support the preparation and execution of A/B testing for visual content and onsite experiences.
 </li>
 <li>
 Track and analyse test results to inform future content and merchandising strategies.
 </li>
 <li>
 Ensure insights and learnings are documented and implemented within content shoot manuals to improve click-through rates and PDP conversion rates.
 </li>
 </ul>
 
 Pricing Analysis and Trading Insights
 
 <ul>
 <li>
 Analyse market trends, competitor pricing and customer behaviour to support pricing decisions and trading performance.
 </li>
 <li>
 Support regular pricing reviews based on market conditions and internal trading performance.
 </li>
 <li>
 Work closely with marketing and product teams to support promotional pricing and discount activity.
 </li>
 <li>
 Monitor and analyse sales data, pricing metrics and trading performance indicators to identify trends and opportunities.
 </li>
 <li>
 Prepare detailed reports and dashboards for stakeholders, highlighting key insights, risks and recommendations.
 </li>
 <li>
 Use reporting and analytics tools to identify pricing trends and opportunities.
 </li>
 <li>
 Conduct competitor benchmarking and market research to ensure pricing remains commercially competitive.
 </li>
 <li>
 Support product launches and trading initiatives with pricing analysis and reporting.
 </li>
 <li>
 Maintain pricing accuracy across systems and onsite platforms.
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 1&ndash;2 years of experience in eCommerce, trading, merchandising, digital marketing or analytical roles, preferably within fashion, retail or consumer brands.
 </li>
 <li>
 Strong analytical skills with good attention to detail.
 </li>
 <li>
 Proficiency in Excel and Google Analytics. Experience with SQL, Looker or Tableau is advantageous.
 </li>
 <li>
 Strong understanding of onsite trading, merchandising and customer journey optimisation.
 </li>
 <li>
 Interest in onsite optimisation, customer behaviour and eCommerce analytics.
 </li>
 <li>
 Strong organisational and coordination skills.
 </li>
 <li>
 Good communication and collaboration skills.
 </li>
 <li>
 Ability to work in a fast-paced, entrepreneurial environment.
 </li>
 <li>
 Highly organised with strong attention to detail.
 </li>
 <li>
 Knowledge of fashion eCommerce trends and consumer behaviour is highly desirable.
 </li>
 </ul>
 
 
 
 
 
 What we'll bring
 
 
 <ul>
 <li>
 25 days of annual leave, increasing to 30 after your first year
 </li>
 <li>
 30% employee discount across all SUMWON STUDIOS brands
 </li>
 <li>
 Ongoing learning and development opportunities
 </li>
 <li>
 Company social events
 </li>
 <li>
 The coolest colleagues you can find
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 SUMWON STUDIOS
 
 is redefining fast fashion with a forward-thinking approach. Join a creative and ambitious team, and help us build a brand t
 
</div>

Onsite Analyst

Keeta

<div>
 
 
 Logistics Data Analyst
 
 
 
 
 
 
 
 About Us
 
 
 
 Keeta, the international subsidiary of global delivery leader Meituan, is driven by a clear mission: We help people eat better, live better. Building on our parent company's 16 years of technological and operational expertise mastered in China, we are leading a global transformation in food and consumer product delivery. Since our start in 2023, Keeta has focused on creating value for every part of the communities we serve. We provide a reliable experience for consumers, enhance technology and operations for restaurants, and create more earning opportunities and greater safety for courier partners. This commitment to shared progress drives our journey from Hong Kong, China, across the Middle East and into Brazil, with the world ahead.
 
 
 
 
 
 
 What You'll Do
 
 
 <ol>
 <li>
 Analyze and derive insights from large, complex datasets to monitor end-to-end logistics performance &mdash; capacity, efficiency, experience, and rider behaviour &mdash; and translate findings into decisions that move the business.
 </li>
 <li>
 Design and maintain performance monitoring frameworks, build data visualizations and analytical tools, and own end-to-end data quality from extraction through to final output.
 </li>
 <li>
 Collaborate cross-functionally to align on operational priorities, communicate insights to non-technical stakeholders, and drive adoption of data-driven decision-making across teams.
 </li>
 <li>
 Participate in the formulation of capacity and experience strategies, track execution outcomes, diagnose gaps, and recommend corrective actions grounded in data evidence.
 </li>
 <li>
 Integrate AI tools into daily workflows to automate repetitive tasks, accelerate analysis, and improve output quality.
 </li>
 </ol>
 
 
 
 
 
 What We Need From You
 
 
 <ol>
 <li>
 Bachelor's degree in Information Systems, Computer Science, Business Analytics, Statistics, Economics, or a related quantitative field.
 </li>
 <li>
 2&ndash;3 years of hands-on experience in data analytics, with a demonstrated ability to turn analysis into actionable business recommendations for non-technical audiences.
 </li>
 <li>
 Bilingual in English and Chinese &mdash; strong written and verbal communication in both languages for daily collaboration with a global team.
 </li>
 <li>
 Growth mindset
 </li>
 <li>
 Proficiency in SQL, Python, and data visualization tools.
 </li>
 </ol>
 
 
 
 
 
 What Makes This Role Exciting
 
 
 <ul>
 <li>
 You'll work on real, high-impact business problems with immediate feedback loops &mdash; see the effect of your analysis on logistics operations in hours, not months.
 </li>
 <li>
 This is a ground-floor opportunity in Keeta's Middle East expansion, where your data frameworks will directly shape how a new market operates at scale.
 </li>
 <li>
 You'll sit at the intersection of data and operations, partnering with teams across Dubai, Riyadh, and Beijing &mdash; genuine cross-border, cross-cultural collaboration.
 </li>
 </ul>
 
 
 
 
 
 Why Join Keeta
 
 
 <ul>
 <li>
 
 Global scale, local impact
 
 &mdash; Keeta is Meituan's international arm, backed by 16 years of technology and operational expertise, and one of the fastest-growing food delivery platforms in the Middle East.
 </li>
 <li>
 
 Real ownership from day one
 
 &mdash; You'll build analytics frameworks, shape how logistics decisions are made, and directly influence operational outcomes at scale.
 </li>
 <li>
 
 Work with top talent globally
 
 &mdash; Collaborate with teammates from over 40 countries in a fast-moving, high-performance environment.
 </li>
 <li>
 
 Accelerate your career
 
 &mdash; We move fast, operate across multiple markets, and give ambitious people the space to grow beyond what a traditional role could offer.
 </li>
 </ul>
 
 
 
</div>

Logistics Data Analyst

Group AMANA

<div>
 
 Amana is seeking an experienced Data Platform Lead with deep expertise in Databricks, the Microsoft Azure ecosystem, and modern lakehouse architectures. The ideal candidate will play a central role in Amana's ongoing platform refresh, moving workloads from Synapse Analytics to a Databricks lakehouse with Unity Catalog, and building the technical foundation that powers analytics, AI, and governance across the enterprise. This role sits within Amana's Data Science, Governance &amp; AI Centre of Excellence, working alongside architects, engineers, analysts, data scientists, and AI engineers, with future growth opportunities into senior platform leadership.
 
 
 
 
 
 
 Why This Role Matters
 
 
 
 Amana operates across capital-intensive sectors where data reliability, cost discipline, and speed of insight are business-critical. The enterprise data platform is the backbone of every downstream analytics, AI, and governance initiative &mdash; from ERP-integrated reporting and predictive models to Agentic AI and Copilot rollouts across the group.
 
 
 You will be at the technical centre of this transformation, designing, building, and hardening the lakehouse that the rest of the function depends on.
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 Lakehouse Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and deliver end-to-end Databricks lakehouse components &mdash; ingestion, transformation, semantic layer, and serving.
 </li>
 <li>
 Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers.
 </li>
 <li>
 Lead the technical execution of the Synapse Analytics to Databricks migration, including parallel run, cutover, and decommissioning.
 </li>
 <li>
 Contribute to and sign off on reference designs, integration patterns, and architecture decision records.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; Integration
 
 
 <ul>
 <li>
 Build and maintain robust ingestion and transformation pipelines from Amana's core enterprise systems: Oracle Fusion (Finance, HCM, P2P, CRM), Hyperion, CMiC, project and operations systems, SharePoint, and Power Platform.
 </li>
 <li>
 Apply strong CI/CD, DataOps, and infrastructure-as-code practices using Git, Azure DevOps, and Terraform or Bicep.
 </li>
 <li>
 Ensure platform reliability through monitoring, alerting, and structured incident response.
 </li>
 </ul>
 
 
 
 
 
 AI/ML &amp; Analytics Enablement
 
 
 <ul>
 <li>
 Build and operate feature store, MLOps, and LLMOps foundations on Databricks.
 </li>
 <li>
 Enable production-grade RAG, agent, and Copilot patterns in partnership with the Data Scientist and AI Engineer.
 </li>
 <li>
 Deliver Power BI semantic models, certified datasets, and self-service guardrails supporting the Amana Digital Academy and enterprise adoption.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Trustworthy Data
 
 
 <ul>
 <li>
 Implement lineage, cataloguing, access control, data quality, and PDPL controls inside the platform using Unity Catalog and Microsoft Purview.
 </li>
 <li>
 Partner with the Data Governance Office to translate live policies into enforceable platform controls.
 </li>
 <li>
 Support regulatory, ethical, and internal compliance obligations across the data estate.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Cost Discipline
 
 
 <ul>
 <li>
 Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness.
 </li>
 <li>
 Translate cloud cost outcomes into commercial terms understood by finance and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Technical Leadership
 
 
 <ul>
 <li>
 Work closely with the Data Architect, Data Engineer, Data Analyst, Data Scientist, and AI Engineer to set and uphold technical standards.
 </li>
 <li>
 Provide hands-on technical guidance and code review across the team.
 </li>
 <li>
 Translate business requirements into technical designs with clear delivery outcomes.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Minimum of 7 years in data engineering or data platform work, with strong hands-on delivery experience.
 </li>
 <li>
 At least 3 years hands-on with Databricks, Apache Spark, and Delta Lake at enterprise scale. Snowflake or BigQuery experience is acceptable where the CV shows a real Databricks migration.
 </li>
 <li>
 Contributed to the build or rebuild of an enterprise data platform serving multiple business domains.
 </li>
 <li>
 Deep hands-on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric.
 </li>
 <li>
 Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent estates.
 </li>
 <li>
 Governance shipped to production using Unity Catalog or Microsoft Purview, with PDPL or GDPR controls operational, not theoretical.
 </li>
 <li>
 Practical FinOps outcomes on cloud spend.
 </li>
 <li>
 Strong on CI/CD, Git, Azure DevOps, and infrastructure-as-code (Terraform or Bicep).
 </li>
 <li>
 Excellent written and verbal communication skills across technical and business audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Direct experience of a Synapse Analytics to Databricks migration.
 </li>
 <li>
 Exposure to MLOps and LLMOps stacks: MLflow, feature store, vector stores, RAG, agent frameworks.
 </li>
 <li>
 Familiarity with Power BI semantic models and enterprise BI governance.
 </li>
 <li>
 Streaming and event-driven experience: Kafka, Event Hubs, Structured Streaming.
 </li>
 <li>
 Multi-entity, multi-country group exposure with mixed data residency considerations.
 </li>
 <li>
 Industry experience in construction, engineering services, manufacturing, energy, or logistics.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 
 
 
 Mandatory:
 
 
 
 <ul>
 <li>
 
 Databricks Certified Data Engineer Professional
 
 (Candidates holding the Associate level will be considered on the condition that Professional is achieved within 6 months of joining.)
 </li>
 </ul>
 
 
 Preferred (one or more):
 
 
 <ul>
 <li>
 
 Databricks Certified Machine Learning Professional
 
 </li>
 <li>
 
 Databricks Certified Generative AI Engineer Associate
 
 </li>
 <li>
 
 Microsoft Certified: Azure Data Engineer Associate
 
 (DP-203 / DP-700)
 </li>
 <li>
 
 Microsoft Certified: Fabric Analytics Engineer Associate
 
 (DP-600)
 </li>
 <li>
 
 Microsoft Certified: Azure Solutions Architect Expert
 
 </li>
 <li>
 
 Certified Data Management Professional (CDMP)
 
 &mdash; DAMA
 </li>
 </ul>
 
 
 Education
 
 
 
 M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS.
 
</div>

Data Platform Lead

Explore 692+ Business systems analyst in Dubai this July. Find roles across top companies and apply now to boost your career.