Python Developer Jobs in UAE

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design and develop scalable RESTful APIs and microservices using <strong>ASP NET Core (NET 8+)</strong></p></li><li><p>Implement business logic, validation, authentication, and authorization.</p></li><li><p>Develop secure APIs using JWT, OAuth2, OpenID Connect, and role-based access control.</p></li><li><p>Create integration services with third-party systems and enterprise applications.</p></li><li><p>Implement caching strategies using Redis.</p></li><li><p>Develop unit tests and integration tests.</p></li><li><p>Develop responsive web applications using <strong>Next js and React</strong>.</p></li><li><p>Implement Server-Side Rendering (SSR), Static Site Generation (SSG), and Client-Side Rendering where appropriate.</p></li><li><p>Build reusable UI components and design systems.</p></li><li><p>Integrate frontend applications with backend APIs.</p></li><li><p>Optimize page performance, SEO, and accessibility.</p></li><li><p>Ensure cross-browser and mobile compatibility.</p></li><li><p>Collaborate with UX/UI designers for user-friendly interfaces.</p></li><li><p>Design and maintain relational database schemas.</p></li><li><p>Create stored procedures, functions, views, and triggers.</p></li><li><p>Optimize SQL queries for performance.</p></li><li><p>Ensure data integrity and security.</p></li><li><p>Containerize applications using Docker.</p></li><li><p>Deploy and manage applications on OpenShift.</p></li><li><p>Monitor application health and resource utilization.</p></li><li><p>Design microservices-based solutions.</p></li><li><p>Implement API Gateway integrations.</p></li><li><p>Apply Domain-Driven Design (DDD) principles.</p></li><li><p>Develop event-driven architectures.</p></li><li><p>Follow secure coding practices.</p></li><li><p>Implement:</p><ul><li><p>Authentication</p></li><li><p>Authorization</p></li><li><p>Encryption</p></li><li><p>Audit logging</p></li></ul></li><li><p>Conduct vulnerability remediation.</p></li><li><p>Ensure compliance with healthcare standards where applicable.</p></li><li><p>Support penetration testing and security reviews.</p></li><li><p>Conduct code reviews.</p></li><li><p>Enforce coding standards and architectural guidelines.</p></li><li><p>Create technical documentation.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, showcasing a solid academic foundation.</p></li><li><p>Minimum of 8 years of professional experience in full stack development, demonstrating a proven track record of successful project delivery in healthcare sector.</p></li><li><p>Proficiency in front-end technologies such as React, Angular, or Vue.js, combined with back-end expertise in Node.js, Python, or Java.</p></li><li><p>Experience with relational and NoSQL databases, such as MySQL and MongoDB, showcasing versatility in data management.</p></li></ul><p></p></section>

<p>Position: Junior AI Engineer – Production Agentic AI Systems Location: Ajman Required years of experience: 1 - 4 years We are looking for a passionate Junior AI Engineer to join a fast-growing team and work on a live, production-grade AI agent powering customer support and business operations. This is an excellent opportunity for engineers who want hands-on exposure to Agentic AI, AWS infrastructure, LLM integrations, automation workflows, and enterprise-scale AI systems. Key Responsibilities: 1. Support and enhance production AI agents built on OpenClaw and LLM technologies. 2. Debug and improve agent behavior, routing, reliability, and response quality. 3. Maintain and optimize customer support and internal operations workflows. 4. Work with PostgreSQL databases, APIs, and AI-powered automation tools. 5. Assist with AWS infrastructure, Docker deployments, monitoring, and CI/CD pipelines. 6. Improve observability, evaluations, telemetry, and performance tracking of AI systems. 7. Collaborate with senior engineers to implement safe, scalable, and secure AI solutions.</p><p>Qualifications & Skills: 1. Strong foundation in Python and/or JavaScript/TypeScript. 2. Good understanding of Git, Docker, and software development best practices. 3. Familiarity with AWS services such as EC2, RDS, CloudWatch, or similar cloud platforms. 4. Knowledge of Agentic AI concepts, RAG, tool calling, memory systems, or LLM applications. 5. Experience working with databases, APIs, and backend systems. 6. Understanding of security principles, access control, and production system reliability. 7. Strong problem-solving skills with the ability to learn and adapt quickly. Nice-to-have: 1. Experience with OpenClaw, LangGraph, CrewAI, DSPy, LlamaIndex, or similar AI frameworks. 2. Exposure to vector databases, embeddings, fine-tuning, or model serving. 3. Familiarity with AI coding tools such as Cursor, Claude Code, or Codex-style agents. 4. Knowledge of CI/CD pipelines, observability tools, and cloud security practices.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Identify where AI and automation can save time or improve results across the business — sales, marketing, customer/partner support, operations, admin, and finance — and implement the solutions end-to-end.</p></li><li><p>Build and maintain automations and AI agents (e.g. n8n, Make, Zapier, LLM-based workflows, API and MCP integrations).</p></li><li><p>Set up AI-assisted processes for outreach, content production, support, and data handling.</p></li><li><p>Create and manage AI-generated content — images, video, graphics, and voice — for marketing and social media channels.</p></li><li><p>Continuously research new AI tools and models and recommend clearly what to adopt and what to skip.</p></li><li><p>Help build and run automated testing and monitoring so internal systems and workflows operate reliably.</p></li><li><p>Document workflows and train team members to use AI tools effectively as the company grows.</p></li><li><p>Work directly with the founder with a high degree of autonomy and ownership, without being confined to a single department.</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>Demonstrable, hands-on experience using AI tools across more than one business function — not just a single use case.</p></li><li><p>Strong practical knowledge of LLMs, automation platforms, and basic AI agent/RAG concepts.</p></li><li><p>Sound judgment in selecting the right tool for each task — and in knowing what should <em>not</em> be automated.</p></li><li><p>Fast learner who stays genuinely current with the rapidly changing AI landscape out of real interest.</p></li><li><p>Excellent written and spoken English, with reliable, self-directed remote working habits.</p></li><li><p>Comfortable with ambiguity and able to own tasks end-to-end in a fast-moving startup environment.</p></li><li><p>Able to work with significant overlap to Dubai business hours (GMT+4).</p></li><li><p><strong>Plus:</strong> light scripting ability (Python or JavaScript) and comfort with APIs/webhooks.</p></li><li><p><strong>Plus:</strong> experience producing high-quality AI-generated media (image, video, graphics, or voice).</p></li><li><p>Note: this is a generalist, tools-and-automation role — not a specialist software-developer position.</p></li></ol><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br> <p> <strong>About the Role</strong> </p> <p>As an Operations Analyst at spiderSilk, you will sit at the intersection of Platform Engineering and Finance, helping ensure our platforms remain reliable, efficient, and economically sustainable as we scale.<br> <br>You ll be responsible for tracking the metrics that matter most reliability, performance, cost, and margin and transforming data into actionable insights that support operational and strategic decision-making.</p> <p> <strong>Responsibilities</strong> </p> <ul> <li> <p>Own and track key operational metrics such as uptime, latency, data integrity, and alert accuracy.</p> </li> <li> <p>Build and maintain monitoring dashboards that provide visibility into platform health, incidents, and emerging risks.</p> </li> <li> <p>Support post-incident reviews and work closely with Platform Engineering teams to drive long-term corrective actions.</p> </li> <li> <p>Monitor infrastructure spend and analyze cost drivers across products and environments.</p> </li> <li> <p>Develop dashboards that connect infrastructure costs with platform performance and business outcomes.</p> </li> <li> <p>Partner with Finance and Platform Engineering teams to investigate spend variances and identify optimization opportunities.</p> </li> <li> <p>Develop and maintain operational KPIs that balance reliability, efficiency, and financial performance.</p> </li> <li> <p>Deliver operational insights and recommendations to leadership teams in a clear and actionable manner.</p> </li> </ul> <p> <strong>Requirements</strong> </p> <ul> <li> <p>4+ years of experience in Operations Analytics, FinOps, Infrastructure Analytics, Reliability Engineering, or a similar role.</p> </li> <li> <p>Strong analytical and problem-solving skills.</p> </li> <li> <p>Experience working with infrastructure, cloud, SaaS, fintech, cybersecurity, or other high-scale environments.</p> </li> <li> <p>Strong communication skills with technical and non-technical stakeholders.</p> </li> <li> <p>Highly organized, proactive, and comfortable operating in a fast-paced environment.</p> </li> <li> <p>Collaborative mindset with strong ownership and curiosity.</p> </li> </ul> <p> <strong>Technical Skills</strong> </p> <ul> <li> <p>Strong SQL/MySQL skills.</p> </li> <li> <p>Power BI, Tableau, Grafana, or Kibana experience.</p> </li> <li> <p>Experience with observability and monitoring platforms.</p> </li> <li> <p>Advanced Microsoft Excel skills.</p> </li> <li> <p>Redis, MongoDB, PostgreSQL, or other NoSQL technologies (nice to have).</p> </li> <li> <p>Python scripting, ETL pipelines, or data warehousing exposure (nice to have).</p> </li> <li> <p>Familiarity with cloud cost optimization and FinOps practices.</p> </li> </ul></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Blockchain Development — Build and maintain multi-chain integrations across Ethereum, Bitcoin, TRON, and Polygon — Develop and deploy smart contracts with a focus on security and reliability — Implement wallet infrastructure, key management, and transaction signing flows — Integrate with blockchain nodes and third-party APIs (RPCs, block explorers, oracles) Payment Infrastructure — Develop payment processing pipelines including invoicing, matching, and settlement — Build robust transaction monitoring, status tracking, and reconciliation systems — Implement webhook delivery systems and merchant-facing APIs — Optimise for performance, reliability, and 99.9%+ uptime Security &amp; Compliance — Implement security best practices across wallet flows and transaction handling — Support KYC/AML/PCI-DSS compliance requirements within the engineering layer — Contribute to audit trails, logging, and regulatory reporting systems — Participate in security reviews and code audits Engineering Collaboration — Work closely with the engineering team on architecture and implementation — Participate in code reviews and maintain coding standards — Collaborate with Product and Compliance teams on feature delivery — Write clear technical documentation and contribute to internal knowledge sharin</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> Must-Have Technical Skills — 3–4 years of software development experience with hands-on blockchain/Web3 work — Blockchain expertise: Ethereum, Bitcoin, Layer 2 solutions (Polygon, Arbitrum, Optimism) — Languages: Node.js, Python, Go, Solidity — Architecture: Microservices, distributed systems, event-driven design — Cloud: AWS/GCP/Azure with containerisation via Docker/Kubernetes — Security: Cryptography, key management, and security best practices Domain Knowledge — Familiarity with fintech, payment systems, or digital assets — Understanding of KYC/AML compliance concepts in a blockchain context — Knowledge of stablecoins, DeFi protocols, and token standards (ERC-20, TRC-20) — Awareness of payment flows, settlement, and reconciliation mechanics Qualities We Value — Detail-oriented with strong debugging and analytical skills — Clear communicator who can document and explain technical decisions — Comfortable working in Agile/Scrum team environments — Self-driven with a track record of shipping reliable code</p><p></p></section>

We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect - Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands-on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings.<br><br>Architecture & Delivery<br><br>Own end-to-end architecture and design decisions on Databricks engagements, ensuring solutions are secure, scalable, performant, and aligned with Lakehouse best practices Lead delivery of production-grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement Lead large-scale migrations (legacy DW/ETL, Hadoop, on-prem estates) and cloud transformation projects to Databricks on Azure/AWS/GCP, including assessment, wave planning, and cutover Stay hands-on: performance tuning, debugging, code and design reviews, and setting engineering standards for the team<br><br>Presales & Stakeholder Management<br><br>Own and defend enterprise solution designs in front of architecture boards, CIOs, and CTOs — and enjoy it Drive presales end-to-end: discovery, solutioning, estimation, PoCs, RFPs, and proposals that convert Translate hard technical trade-offs into decisions executives can act on — from engineer to boardroom without changing gears<br><br>Who Thrives Here<br><br>A builder at heart — 12+ years in data engineering/architecture, 3+ on Databricks at enterprise scale, and still happiest when hands are on the keyboard Deep Spark expertise — architecture, performance tuning, streaming, debugging, the advanced stuff that separates architects from diagram-drawers Lakehouse fluency — Medallion architecture, Delta Lake, Unity Catalog, governance, orchestration (Workflows, DLT/Lakeflow, Airflow, ADF); Microsoft Fabric exposure a bonus Battle-tested in migrations — you've led large transformation programs and have the scars and success stories to show for it Presales instinct — you don't just design solutions; you sell them, price them, and defend them under fire Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like Open AI and Anthropic) into what you build Certified credibility — Databricks Data Engineer Professional / SA accreditations strongly preferred Founder energy — curiosity, adaptability, and the drive to build offerings, not just deliver projects

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Use Data Science to Predict, Improve, and Transform Healthcare Outcomes</b></p><p><br></p><p>Al-Futtaim Health is seeking an <b>experienced Healthcare Data Scientist – Machine Learning &amp; Clinical Analytics</b> to join our HealthHub Corporate Office in Dubai Festival City.</p><p><br></p><p>This is a specialist data science role focused on predictive modelling, machine learning, clinical analytics, healthcare data integration, and AI-driven decision support across our growing healthcare network.</p><p><br></p><p><b>Important: This is not a Data Analyst, BI Analyst, Reporting Analyst, Power BI Developer, or dashboard-only role.</b></p><p><br></p><p>We are looking for a hands-on Data Scientist who has personally built, trained, tested, and evaluated predictive models using real healthcare datasets such as electronic health records, claims, pharmacy data, laboratory data, clinical activity data, or healthcare operational data.</p><p><br></p><p>The purpose of this role is to move beyond reporting what has already happened and help HealthHub predict what may happen next, optimise patient pathways, improve clinical decision-making, and support better healthcare outcomes.</p><p><br></p><p><b>About the Role</b></p><p><br></p><p>As a Healthcare Data Scientist, you will design, develop, and evaluate machine learning models and advanced analytics solutions that support clinical, operational, financial, and strategic decision-making.</p><p><br></p><p>You will work closely with clinical leadership, medical directors, operations teams, finance, IT, health informatics, and compliance stakeholders to transform complex healthcare data into predictive insights and practical healthcare solutions.</p><p><br></p><p>The role requires a strong combination of healthcare domain knowledge, statistical modelling, machine learning, Python or R, advanced SQL, healthcare data standards, and responsible healthcare AI practices.</p><p><br></p><p><b>Key Responsibilities</b></p><p><br></p><p>Build, train, test, and evaluate predictive machine learning models for healthcare use cases.</p><p>Develop models that support clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement.</p><p>Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data.</p><p>Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods.</p><p>Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks.</p><p>Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR.</p><p>Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives.</p><p>Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows.</p><p>Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods.</p><p>Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements.</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Essential Requirements</b></p><p><br></p><p>Currently residing in the UAE.</p><p>Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline.</p><p>Minimum 2–5 years’ experience in data science.</p><p>Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data.</p><p>Proven hands-on experience building predictive models or machine learning solutions.</p><p>Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation.</p><p>Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation.</p><p>Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, or healthcare operational data.</p><p>Understanding of healthcare coding or interoperability standards such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR.</p><p>Ability to communicate technical outputs clearly to clinical, operational, finance, and leadership stakeholders.</p><p><br></p><p><b>Highly Desirable</b></p><p><br></p><p>Master’s Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field.</p><p>Experience with UAE healthcare data environments, DHA regulations, NABIDH, Malaffi, or healthcare data residency requirements.</p><p>Experience working within a hospital, clinic network, healthcare group, health insurance provider, health-tech company, clinical analytics team, or health informatics environment.</p><p>Experience with clinical decision support systems.</p><p>Experience with SHAP, LIME, or other model explainability methods.</p><p>Experience with Power BI, Tableau, Plotly, or Dash to communicate data science outputs to leadership.</p><p><br></p><p><b>Who This Role Is Not For</b></p><p><br></p><p>This role is unlikely to be suitable if your experience is primarily focused on:</p><p><br></p><p>Power BI dashboards only.</p><p>KPI reporting only.</p><p>Excel reporting.</p><p>SQL extracts without modelling.</p><p>Descriptive analytics only.</p><p>Claims audit reporting only.</p><p>General business intelligence without predictive modelling.</p><p>Data analysis without machine learning or statistical model development.</p><p><br></p><p><b>Candidates must be able to demonstrate hands-on experience building data science or machine learning models using healthcare datasets.</b></p><p><br></p><p><b>Why Join Al-Futtaim Health?</b></p><p><br></p><p>Work from HealthHub Corporate Office in Dubai Festival City.</p><p>Opportunity to shape healthcare AI and predictive analytics across a growing healthcare network.</p><p>Work with clinical, operational, finance, and leadership stakeholders.</p><p>Exposure to healthcare datasets and real-world clinical decision-making.</p><p>Opportunity to support patient outcomes, operational efficiency, and healthcare innovation.</p><p>Competitive salary and benefits package.</p><p>Career development within one of the UAE’s leading healthcare organisations.</p></div>

Senior Data Science Specialist<br>Position: Senior Data Science Specialist<br>Type: Hourly Contract (Part-Time)<br>Compensation: $120–$170/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Senior Data Science Specialists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems. The role involves evaluating AI-generated data science solutions, assessing statistical and machine learning methodologies, and applying real-world data science expertise to improve the performance of advanced AI models. No prior AI experience is required. Your data science expertise, analytical skills, and professional experience are the primary qualifications for success in this role. Responsibilities Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and quality. Solve complex data analysis, statistical modeling, machine learning, and predictive analytics problems. Review AI-generated approaches involving data preprocessing, feature engineering, model development, validation, and evaluation. Analyze datasets, statistical methodologies, predictive models, and analytical workflows. Identify errors, inconsistencies, methodological issues, and edge cases in AI-generated analyses. Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality. Provide structured technical feedback to improve AI accuracy, analytical reasoning, and model performance. Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality. Required Qualifications2+ years of professional Data Science experience or equivalent industry/research experience. Strong experience with data analysis, statistical modeling, machine learning, predictive modeling, and data visualization. Proficiency in Python, SQL, and common data science libraries and frameworks. Strong understanding of statistics, probability, machine learning algorithms, model evaluation, and experimental design. Experience working with real-world datasets and translating data into actionable insights. Ability to evaluate AI-generated analyses, models, and technical solutions for correctness and effectiveness. Excellent analytical, problem-solving, and written communication skills. Preferred Qualifications Experience working with large-scale datasets, advanced machine learning systems, or production data science workflows. Experience with PyTorch, Tensor Flow, scikit-learn, XGBoost, or similar machine learning frameworks. Familiarity with AI, generative AI, LLMs, AI model evaluation, or data annotation. Experience with A/B testing, experimentation, causal inference, time-series analysis, or advanced statistical methods. Familiarity with cloud platforms, distributed computing, MLOps, or data engineering workflows. Prior experience with AI evaluation, technical review, or model quality assessment projects. Compensation Competitive compensation of $120–$170/hour. Weekly payments. Independent contractor engagement. Application Process Easy Apply on Linked InCheck Email for Next Steps Participate in Resume Evaluation & Interview Stage

We are seeking a detail-oriented and proactive Trade Operations professional to support the end-to-end trade lifecycle across multiple asset classes. The successful candidate will be responsible for ensuring timely and accurate trade processing, settlements, reconciliations, and operational support while maintaining compliance with internal policies and regulatory requirements. This role requires strong analytical skills, the ability to work under pressure in a fast-paced trading environment, and close collaboration with internal teams, liquidity providers, custodians, and external counterparties.<br>Key Responsibilities Manage the complete trade lifecycle from execution through settlement. Monitor daily trading activities across multiple asset classes, including CFDs, FX, Equities, Commodities, and Indices. Perform trade validation, confirmation, allocation, and booking. Ensure timely settlement of trades and resolve any settlement failures. Conduct daily reconciliations of positions, cash balances, client accounts, and broker statements. Investigate and resolve trade breaks, discrepancies, and operational exceptions. Liaise with liquidity providers, custodians, clearing brokers, exchanges, and banking partners. Monitor corporate actions and ensure accurate processing where applicable. Support client funding, withdrawals, and internal operational requests. Maintain accurate trade records and operational documentation. Generate daily operational, risk, and management reports. Work closely with the Dealing, Risk, Compliance, Finance, and Technology teams to ensure smooth operational workflows. Assist in process improvements and automation initiatives to enhance operational efficiency. Ensure compliance with internal controls, regulatory requirements, and company policies. Participate in system testing, UAT, and implementation of new products or operational enhancements.<br>Requirements Bachelor's degree in Finance, Economics, Business Administration, or a related field.2–5+ years of experience in Trade Operations, Brokerage Operations, Middle Office, or Back Office within a financial services or brokerage environment. Strong understanding of the trade lifecycle and post-trade operations. Experience working with CFD, FX, Equities, or Multi-Asset products. Familiarity with trading platforms such as MT4, MT5, c Trader, Prime XM, One Zero, or similar systems is an advantage. Knowledge of settlements, reconciliations, client money handling, and operational controls. Strong analytical and problem-solving skills. Excellent attention to detail and accuracy. Ability to prioritize tasks and work effectively under pressure. Advanced Microsoft Excel skills. Strong written and verbal communication skills in English.<br>Preferred Qualifications Experience within an online brokerage, CFD, FX, or fintech environment. Knowledge of liquidity management and bridge technology. Understanding of AML, regulatory, and operational risk controls. Experience with automation tools, SQL, or Python is an advantage.

Primary Responsibilities Monitor cloud security alerts, posture regressions, risky identities, policy failures, connector health and workload protection status. Operate Microsoft Defender for Cloud, Defender XDR, Microsoft Sentinel and related cloud security capabilities as assigned. Review Secure Score and CSPM/CNAPP findings; validate asset context, severity, exposure and remediation ownership. Triage cloud incidents and coordinate containment such as session revocation, Conditional Access action, secret rotation or workload isolation. Track misconfigurations, vulnerabilities, exposed services, weak encryption, missing protection and excessive permissions to closure. Support onboarding of subscriptions, workloads and cloud connectors; validate telemetry completeness and policy assignment. Review service principals, managed identities, privileged roles and access anomalies; escalate high-risk identity findings. Monitor Defender plans and agent/extension coverage for VMs, containers, storage, SQL, Key Vault and application services. Support container and Kubernetes security monitoring, image risk review and runtime alert triage. Integrate and correlate cloud alerts with SIEM/SOAR and ITSM workflows; maintain complete incident and evidence records. Perform approved security configuration checks and collect evidence against CIS, Azure benchmarks, UAE IA and ADHICS. Produce operational dashboards and reports for alerts, posture, vulnerabilities, identity risks, SLA ageing and exceptions. Follow change, incident, problem and exception processes and maintain accurate runbooks and handovers. Secondary Responsibilities Support cloud security architecture reviews, landing-zone validation and Dev Sec Ops security checks. Assist with vulnerability assessments, threat hunting and incident lessons learned. Support data protection, DLP, IAM/PAM and Saa S security reviews where cloud controls overlap. Participate in after-hours support and client-site activities when required.<br>Skills / Certifications AZ-500 Microsoft Azure Security Engineer or equivalent training SC-200 Security Operations Analyst SC-100, CCSP or CCSK (advantage) Security+ or equivalent ITIL Foundation (advantage) Soft skills: Excellent written and verbal communication, Analytical thinking and problem solving, Attention to detail and quality, Accountability and ownership, Teamwork and stakeholder collaboration, Ability to prioritize and meet deadlines, Ability to work at client sites and provide after-hours support when required<br>Minimum Work Experience5+ years of security operations, cloud operations or infrastructure security experience, including at least 2 years in Azure/Microsoft 365 security.<br>Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Information Systems, Engineering or equivalent. Postgraduate qualification in information/cyber security is an advantage.<br>Preferred Skill Set<br>Microsoft Defender for Cloud, Sentinel and Defender XDRAzure/M365 security posture, identity and workload protection Cloud incident triage, vulnerability and remediation tracking Kubernetes/container and Dev Sec Ops fundamentals KQL, Power Shell or Python automation and ITSM discipline

Our client is a leading government entity dedicated to driving innovation and supporting strategic national initiatives. The organization partners with various government stakeholders to develop sustainable solutions, strengthen local capabilities, and contribute to the country's long-term economic and technological development. Our client is a leading government entity driving innovation and digital transformation across strategic national initiatives. They are looking for an experienced AI Engineer / AI Manager to design, build, and deploy enterprise AI solutions that enable data-driven decision-making and improve business operations. This is an exciting opportunity to work on cutting-edge AI initiatives in a collaborative, high-impact environment.<br><br>Key Responsibilities<br><br>Design, develop, deploy, and maintain AI and machine learning solutions. Build and optimize ML models for production environments. Develop and maintain scalable data pipelines and feature engineering workflows. Monitor model performance, accuracy, and drift while continuously improving solutions. Collaborate with data scientists, analysts, engineers, and business stakeholders to deliver AI-driven products. Integrate AI models into enterprise applications and business processes. Ensure AI solutions comply with governance, security, and data privacy standards. Evaluate emerging AI technologies and contribute to AI platform and architecture decisions. Support the full AI lifecycle, from development through deployment and ongoing optimization.<br><br>Key Requirements<br><br>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.3-10 years of experience in AI, Machine Learning, or Software Engineering. Strong programming skills in Python. Hands-on experience with Tensor Flow, PyTorch, or similar AI frameworks. Experience deploying machine learning models into production environments. Knowledge of MLOps, model deployment, and monitoring. Experience with cloud-based AI platforms or enterprise AI infrastructure. Understanding of feature engineering, data pipelines, and software engineering best practices. Knowledge of Responsible AI, AI governance, model explainability, and AI security principles is highly desirable. Professional certifications in AI, Machine Learning, Cloud, or MLOps are a plus. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. A collaborative mindset with the ability to work across cross-functional teams. Passion for innovation and continuous learning. Ability to build scalable, reliable, and secure AI solutions.<br><br>Why Apply?<br><br>Work on impactful AI transformation initiatives. Collaborate with highly skilled technical teams. Exposure to enterprise-scale AI platforms and emerging technologies. Excellent opportunities for professional development and career growth. Competitive salary and benefits package.

Our client is a leading government entity dedicated to driving innovation and supporting strategic national initiatives. The organization partners with various government stakeholders to develop sustainable solutions, strengthen local capabilities, and contribute to the country's long-term economic and technological development. Our client is a leading government entity driving innovation and digital transformation across strategic national initiatives. They are looking for an experienced AI Engineer / AI Manager to design, build, and deploy enterprise AI solutions that enable data-driven decision-making and improve business operations. This is an exciting opportunity to work on cutting-edge AI initiatives in a collaborative, high-impact environment.<br><br>Key Responsibilities<br><br>Design, develop, deploy, and maintain AI and machine learning solutions. Build and optimize ML models for production environments. Develop and maintain scalable data pipelines and feature engineering workflows. Monitor model performance, accuracy, and drift while continuously improving solutions. Collaborate with data scientists, analysts, engineers, and business stakeholders to deliver AI-driven products. Integrate AI models into enterprise applications and business processes. Ensure AI solutions comply with governance, security, and data privacy standards. Evaluate emerging AI technologies and contribute to AI platform and architecture decisions. Support the full AI lifecycle, from development through deployment and ongoing optimization.<br><br>Key Requirements<br><br>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.3-10 years of experience in AI, Machine Learning, or Software Engineering. Strong programming skills in Python. Hands-on experience with Tensor Flow, PyTorch, or similar AI frameworks. Experience deploying machine learning models into production environments. Knowledge of MLOps, model deployment, and monitoring. Experience with cloud-based AI platforms or enterprise AI infrastructure. Understanding of feature engineering, data pipelines, and software engineering best practices. Knowledge of Responsible AI, AI governance, model explainability, and AI security principles is highly desirable. Professional certifications in AI, Machine Learning, Cloud, or MLOps are a plus. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. A collaborative mindset with the ability to work across cross-functional teams. Passion for innovation and continuous learning. Ability to build scalable, reliable, and secure AI solutions.<br><br>Why Apply?<br><br>Work on impactful AI transformation initiatives. Collaborate with highly skilled technical teams. Exposure to enterprise-scale AI platforms and emerging technologies. Excellent opportunities for professional development and career growth. Competitive salary and benefits package.

Forward Deployed Engineer (Mandarin Speaking)<br><br>Location: Abu Dhabi, UAE (On-site)<br><br>Employment Type: Full-Time<br><br>Language Requirement: Fluent Mandarin Chinese and English<br><br>About The Opportunity<br><br>Our client is a fast-growing technology company at the forefront of AI-powered platforms, digital transformation, and advanced software solutions. They are seeking a Forward Deployed Engineer to act as the technical bridge between customers and product engineering teams, ensuring successful deployment, integration, and adoption of cutting-edge technology solutions.<br><br>This is a highly customer-facing role suited to an experienced engineer who enjoys solving complex problems, building trusted client relationships, and delivering real-world technical outcomes. The ideal candidate combines strong software engineering skills with excellent communication and stakeholder management capabilities.<br><br>Key Responsibilities<br><br>Work directly with enterprise customers to understand business requirements and translate them into technical solutions. Design, deploy, configure, and support complex software platforms across cloud, hybrid, and on-premise environments. Build proof of concepts, pilot projects, and custom integrations to address customer needs. Act as the technical lead during customer engagements, workshops, demonstrations, and deployments. Collaborate closely with product, engineering, and leadership teams to influence product development based on customer feedback. Troubleshoot and resolve technical challenges across application, infrastructure, data, and integration layers. Develop scripts, APIs, automation tools, and custom functionality to support customer workflows. Deliver technical presentations and training sessions to both technical and non-technical stakeholders. Support ongoing platform optimization, adoption, and customer success initiatives. <br><br>Required Skills & Experience <br><br>Bachelor's degree in Computer Science, Software Engineering, AI, or a related technical discipline. 4+ years of experience in one or more of the following:Forward Deployed Engineering Solutions Engineering Solutions Architecture Technical Consulting Implementation Engineering AI Engineering Software Engineering Strong software development experience with Python and modern development frameworks. Experience working with APIs, microservices, system integrations, and cloud technologies. Proven ability to engage directly with customers and executive stakeholders. Excellent problem-solving and troubleshooting capabilities. Comfortable operating in complex and fast-moving environments. <br><br>Preferred Experience<br><br>Candidates with experience in any of the following areas will be highly regarded:<br><br>Artificial Intelligence and Machine Learning solutions Generative AI applications Smart City technologies Digital Twin platforms GIS and geospatial technologies IoT and connected infrastructure Enterprise software deployments Data platforms and analytics solutions <br><br>Forward Deployed Engineer in Abu Dhabi, United Arab Emirates

Azure AI Engineer - Abu Dhabi - 12 Month Contract <br>Location: Abu Dhabi, UAE – Onsite Contract: 12 months Salary: AED 18,000–20,000 per month Benefits: Employment visa and healthcare provided<br>Our Consultancy client is seeking an experienced Azure AI/ML Engineer to join a major healthcare technology programme in Abu Dhabi.<br>You will be responsible for designing, building, deploying and supporting production-grade AI, machine learning, generative AI, computer vision and agentic workflow solutions. This role will focus on transforming data science prototypes and clinical innovation concepts into secure, scalable and reliable AI services integrated with healthcare data platforms, clinical systems and digital applications.<br>Required Experience Strong production-level software engineering experience using Python. Experience with an additional programming language such as C#, Java, Scala, Go or Type Script. Hands-on experience building, deploying and supporting production AI, ML or Gen AI solutions. Strong knowledge of frameworks such as PyTorch, Tensor Flow, Keras, scikit-learn and Hugging Face. Experience with MLOps or LLMOps, including CI/CD, MLflow, model registries, experiment tracking and model monitoring. Azure cloud experience, ideally including:Azure Machine Learning Azure AI Foundry Azure Open AIAKS/Kubernetes Docker Azure Databricks Microsoft Fabric Azure Data Lake Azure Key Vault Terraform or other infrastructure-as-code tools Experience with RAG, embeddings, vector databases, prompt management, guardrails and agent orchestration.<br>Key Responsibilities Design and deliver secure, scalable and maintainable production AI and machine learning services. Develop batch, real-time, streaming, API-based and event-driven AI architectures. Build reusable ML platform capabilities, including experiment tracking, feature stores, vector stores, model registries and automated deployment pipelines. Containerise, deploy and scale machine learning, deep learning, computer vision and generative AI models. Optimise model performance, latency, GPU utilisation, throughput and cloud costs. Build ML-ready data pipelines using SQL, Spark, lakehouse and streaming technologies. Develop secure LLM applications using Azure Open AI, Azure AI Foundry, RAG, embeddings, vector search and agentic AI. Implement MLOps and LLMOps practices, including CI/CD, Git Ops, automated testing, model monitoring, retraining triggers and rollback strategies. Deploy computer vision and multimodal AI solutions for medical imaging, clinical video and document processing. Develop APIs, microservices, SDKs and integration services that embed AI outputs into clinical and operational applications. Monitor model performance, data drift, hallucination, grounding, latency, service health and cost. Implement responsible AI, security, privacy, audit logging and healthcare data protection controls. Work closely with data scientists, clinicians, cloud engineers, cybersecurity specialists and product teams.

The BIM Developer is responsible for developing, managing, and optimizing Building Information Models with a strong focus on automation, customization, and digital process enhancement. The role requires advanced technical expertise in Revit, Dynamo, C#, and Visual Studio to create plug-ins, scripts, and workflows that streamline production and coordination across multidisciplinary interior fit-out projects. In addition to digital development, the BIM Developer will also be actively involved in modeling highly complex elements, ensuring precise and coordinated 3D models, and producing detailed models and shop drawings as required by project deliverables. This position bridges the gap between BIM modeling and digital development, ensuring data-driven accuracy, process efficiency, and high-fidelity model deliverables from design through construction<br>Responsibilities Proficiency in Autodesk Revit and Dynamo for automation. Familiarity with C#, . NET, and Revit API (basic scripting to intermediate level). Strong understanding of BIM standards (LOD, naming conventions, shared parameters). Knowledge of Visual Studio, Python, or JSON/XML data handling is a plus. Ability to translate project challenges into technical solutions. Design and develop custom Revit plug-ins and add-ins using C# and Revit API in Visual Studio. Build and maintain automation tools, desktop applications, and BIM data management utilities. Lead the development, updating, and maintenance of highly detailed and accurate 3D BIM models for complex interior fit-out projects, encompassing partitions, ceilings, joinery, custom features, and specialized fit-out components, ensuring strict compliance with project requirements, BEP, LOD, and LOICollaborate with BIM teams to convert manual workflows into efficient automated solutions. Produce construction documentation, including detailed drawings, schedules, quantity take-offs, and specifications, while also ensuring alignment with project timelines and quality standards. Support the BIM Team in quality control processes, ensuring all BIM deliverables meet organizational standards and client expectations prior to submission. Maintain comprehensive documentation and logs related to modelling activities, clash resolutions, and coordination status for traceability and project reporting purposes.<br>Position requirements Minimum qualifications Bachelor Degree of Engineering Civil/Architectural/Interior Design Equivalent or Relevant Diploma<br>Minimum experience Min. 5 years preferably in Interior Fit-out Industry<br>Competencies (knowledge, skills, general abilities) Proficient in BIM softwares and automation tools Advance knowledge of interior fit out elements, detailing, materials and documentation Excellent communication, interpersonal skills and coordination skills across team member Able to support and guide junior modelers and contribute to a collaborative work environment Strong attention to detail with a commitment to quality and deadlines Familiarity in construction methodologies and industrial practices Strong problem – solving, decision making and analytical skills.

The BIM Developer is responsible for developing, managing, and optimizing Building Information Models with a strong focus on automation, customization, and digital process enhancement. The role requires advanced technical expertise in Revit, Dynamo, C#, and Visual Studio to create plug-ins, scripts, and workflows that streamline production and coordination across multidisciplinary interior fit-out projects. In addition to digital development, the BIM Developer will also be actively involved in modeling highly complex elements, ensuring precise and coordinated 3D models, and producing detailed models and shop drawings as required by project deliverables. This position bridges the gap between BIM modeling and digital development, ensuring data-driven accuracy, process efficiency, and high-fidelity model deliverables from design through construction<br>Responsibilities Proficiency in Autodesk Revit and Dynamo for automation. Familiarity with C#, . NET, and Revit API (basic scripting to intermediate level). Strong understanding of BIM standards (LOD, naming conventions, shared parameters). Knowledge of Visual Studio, Python, or JSON/XML data handling is a plus. Ability to translate project challenges into technical solutions. Design and develop custom Revit plug-ins and add-ins using C# and Revit API in Visual Studio. Build and maintain automation tools, desktop applications, and BIM data management utilities. Lead the development, updating, and maintenance of highly detailed and accurate 3D BIM models for complex interior fit-out projects, encompassing partitions, ceilings, joinery, custom features, and specialized fit-out components, ensuring strict compliance with project requirements, BEP, LOD, and LOICollaborate with BIM teams to convert manual workflows into efficient automated solutions. Produce construction documentation, including detailed drawings, schedules, quantity take-offs, and specifications, while also ensuring alignment with project timelines and quality standards. Support the BIM Team in quality control processes, ensuring all BIM deliverables meet organizational standards and client expectations prior to submission. Maintain comprehensive documentation and logs related to modelling activities, clash resolutions, and coordination status for traceability and project reporting purposes.<br>Position requirements Minimum qualifications Bachelor Degree of Engineering Civil/Architectural/Interior Design Equivalent or Relevant Diploma<br>Minimum experience Min. 5 years preferably in Interior Fit-out Industry<br>Competencies (knowledge, skills, general abilities) Proficient in BIM softwares and automation tools Advance knowledge of interior fit out elements, detailing, materials and documentation Excellent communication, interpersonal skills and coordination skills across team member Able to support and guide junior modelers and contribute to a collaborative work environment Strong attention to detail with a commitment to quality and deadlines Familiarity in construction methodologies and industrial practices Strong problem – solving, decision making and analytical skills.

Role Overview The Data Analyst (H/F) is responsible for transforming complex datasets into clear, actionable insights that support strategic planning and operational improvement. This role involves gathering data from various sources, performing detailed analyses, and presenting findings to stakeholders across the organization. The Data Analyst ensures data accuracy, builds reporting tools, and contributes to the development of data-driven solutions. This position is ideal for analytical professionals who enjoy problem-solving, critical thinking, and working with diverse teams. Key Responsibilities• Collect, clean, and organize data from multiple systems and databases to ensure high-quality datasets.• Perform exploratory and advanced analyses to identify trends, opportunities, and areas for optimization.• Design and maintain dashboards, automated reports, and visualization tools for internal teams.• Collaborate with departments such as marketing, operations, finance, and product to understand analytical needs.• Support performance tracking by monitoring KPIs and providing regular updates.• Translate complex analytical results into clear, understandable insights for decision-makers.• Assist in the development of forecasting models and analytical methodologies.• Document data processes, standards, and definitions to strengthen data governance.• Conduct quality checks on datasets and recommend improvements for data integrity.• Stay informed about emerging tools, techniques, and best practices in analytics. Qualifications and Requirements• Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related discipline.• 1–3 years of experience in data analysis, business intelligence, or a similar analytical role.• Proficiency with analytical tools such as SQL, Excel, Python, or R.• Experience working with visualization platforms such as Tableau, Power BI, or equivalent tools.• Strong understanding of analytical methods, statistical concepts, and data modeling.• High attention to detail with strong organizational and problem-solving skills.• Ability to communicate analytical findings clearly to both technical and non-technical audiences.• Comfortable managing multiple tasks and deadlines in a dynamic environment.• Strong collaboration and interpersonal skills for cross-functional teamwork.• Proactive mindset with a desire to learn, improve processes, and contribute to data-driven culture. Summary The Data Analyst (H/F) plays a vital role in enabling informed decision-making across the organization. By analyzing data, developing meaningful insights, and collaborating with key stakeholders, this role supports growth, efficiency, and strategic direction. It is well-suited for analytical and detail-oriented professionals committed to delivering accurate and impactful insights.

Location: Abu Dhabi, United Arab Emirates Company Website: Ansen AI ; Compnay Linkde In Page<br>About UsAnsen is a globally expanding cybersecurity company driven by AI innovation. Headquartered in Abu Dhabi, we deliver cutting-edge cybersecurity technologies and professional services to government organizations and enterprise customers across MENA, APAC, and North America. Our mission is to build secure, resilient digital systems and protect the peace of the digital world.<br>Role Summary We are seeking skilled Penetration Testers to join our international Security Lab in Abu Dhabi. In this role, you will deliver comprehensive security assessment services for enterprise clients while conducting research into the latest attack methodologies and cybersecurity technologies.<br>Key Responsibilities Deliver end-to-end cybersecurity services, including: Penetration Testing, Vulnerability Assessment, Security Evaluation, Red Team Simulations, Incident Response. Conduct technical research on emerging threats and offensive security techniques across cloud security, web security, mobile security, Active Directory, application penetration testing, malware analysis, and source code auditing. Prepare professional security assessment reports with clear technical findings and actionable recommendations. Collaborate with internal teams and customers to strengthen overall security posture.<br>Qualifications Bachelor's degree in Computer Science, Information Security, Cybersecurity, or a related field (or equivalent hands-on experience). Strong understanding of TCP/IP, operating systems, and computer networking. Industry certifications such as OSCP, CREST, CEH, CISSP, GIAC, or GSEC are highly preferred. Hands-on experience with security tools including Burp Suite, Nmap, Metasploit, SQLMap, and similar tools. Experience with one or more programming/scripting languages such as Python, Java, Power Shell, Bash, or Node.js. Strong written and verbal communication skills. Relevant experience in penetration testing or offensive cybersecurity.<br>Nice to Have Research or hands-on experience in mobile security or vulnerability research. Participation in Capture The Flag (CTF) competitions or other cybersecurity contests. Experience delivering cybersecurity training, public speaking, or contributing to the security community. Experience working in regulated industries such as finance, healthcare, telecommunications, energy, or critical infrastructure. Previous consulting or customer-facing experience in cybersecurity services.<br>What We Offer Comprehensive insurance and employee benefits. UAE work visa sponsorship. Opportunities to work on large-scale, mission-critical cybersecurity projects. A diverse, international, and highly technical Security Lab. Fast career growth through mentorship and hands-on experience with top-tier security engagements. Company-sponsored technical training, certifications, and continuous learning opportunities. A flexible, results-oriented working environment.

Quantitative Researcher Dubai | Full-Time | Competitive Salary + Benefits<br>A rapidly growing proprietary trading firm is looking for a Quantitative Researcher to join its research team and help develop the next generation of systematic trading strategies. You'll work alongside experienced researchers, traders and engineers, tackling complex problems across data science, machine learning and financial markets, with your research directly influencing live trading systems.<br>This is an opportunity to join a high-performing team made up of experienced professionals from some of the world's leading quantitative trading firms, within a collaborative environment that values curiosity, innovation and technical excellence.<br>The Role You'll be responsible for researching, developing and improving quantitative trading strategies across crypto spot and derivatives markets. From identifying market inefficiencies to building predictive models and taking ideas into production, you'll have significant ownership over your work while collaborating closely with both trading and engineering teams.<br>Key Responsibilities• Design, develop and backtest quantitative trading strategies• Analyse large market datasets to identify alpha opportunities• Build predictive models for price movements, volatility and liquidity• Research market behaviour using statistical and machine learning techniques• Develop research tools, backtesting frameworks and data pipelines• Work closely with traders and software engineers to deploy production strategies• Monitor live strategy performance and continually optimise models<br>Requirements• 3+ years of quantitative research experience within a trading firm, hedge fund or research-driven environment• MSc or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering or another highly quantitative discipline• Strong commercial experience applying machine learning techniques• Excellent understanding of statistics, probability and mathematical modelling• Advanced Python skills, including experience with data science libraries such as Num Py, Pandas and scikit-learn• Experience working with time-series data• Strong analytical thinking and a research-first mindset• Excellent communication skills<br>Desirable Experience• Experience researching crypto markets• Background within quantitative trading or hedge funds• Knowledge of market microstructure or order flow analysis• Experience with large-scale data processing technologies• Exceptional competitive programming or academic achievements, including Kaggle, IOI, IMO or ACM ICPC<br>What's on Offer• The opportunity to see your research directly power live trading strategies• High levels of autonomy and ownership over your research• Competitive salary and benefits package• Flexible working arrangements and genuine work-life balance• Access to cutting-edge AI tools and modern research infrastructure• International team with regular company workations and team trips• A chance to join one of the fastest-growing areas of quantitative finance

Role Overview The Data Analyst (H/F) plays a key role in transforming raw data into meaningful insights that support strategic and operational decision-making. This position is responsible for collecting, analyzing, and interpreting large datasets to identify trends, measure performance, and provide actionable recommendations. Working closely with cross-functional teams, the Data Analyst ensures data accuracy, contributes to reporting processes, and enhances the organization’s ability to make data-driven decisions. This role requires strong analytical skills, attention to detail, and the ability to communicate complex information clearly. Key Responsibilities• Gather, clean, and validate data from internal and external sources to ensure reliability and consistency. • Analyze large datasets to identify patterns, correlations, and key business insights. • Build and maintain dashboards, reports, and visualizations to support ongoing business needs. • Collaborate with teams across marketing, operations, finance, and product to understand data requirements. • Support the creation of statistical models and forecasting tools. • Monitor key performance indicators (KPIs) and produce regular performance updates. • Prepare presentations and summaries that translate data findings into actionable insights for stakeholders. • Ensure data integrity by identifying anomalies, inconsistencies, and improvement opportunities. • Document analytical processes, methodologies, and data definitions. • Stay informed about analytical tools, data governance practices, and industry trends to improve processes. Qualifications and Requirements• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. • 1–3 years of experience in data analysis, business intelligence, or a similar role. • Proficiency in analytical tools and languages such as Excel, SQL, Python, or R. • Experience with data visualization platforms such as Tableau, Power BI, or similar tools. • Strong understanding of statistical analysis, data modeling, and reporting principles. • Excellent problem-solving skills and high attention to detail. • Ability to communicate technical findings clearly to non-technical audiences. • Strong organizational and time-management abilities with the capacity to handle multiple tasks. • Collaborative mindset and ability to work effectively with cross-functional teams. • Proactive, curious, and motivated to continuously improve analytical skills and processes. Summary The Data Analyst (H/F) plays an essential role in leveraging data to drive business performance. Through thorough analysis, reporting, and collaboration, this role ensures that the organization has accurate, actionable insights to support decision-making. It is well-suited for analytical professionals who enjoy working with data and contributing to strategic growth.