System Analyst Jobs in UAE
973 Jobs Found
Role Description The Digital Forensics Analyst is a part-time, hybrid role based in Dubai, with flexibility for some work from home. This role involves collecting, preserving, and analyzing digital evidence from various systems and devices to support internal investigations and client projects. The analyst will perform forensic examinations of computers, mobile devices, and networks, identify and analyze malware, and document findings in clear, comprehensive reports. Day-to-day tasks include conducting cybersecurity incident investigations, maintaining detailed chain-of-custody records, collaborating with consulting teams to interpret technical findings, and recommending security improvements based on forensic results. The role also includes staying current with emerging threats, tools, and best practices in digital forensics and cybersecurity. Qualifications Candidates should possess strong Forensic Analysis and Evidence collection skills, including experience with digital evidence handling and chain-of-custody procedures. Candidates should possess Malware Analysis and Cybersecurity skills, including familiarity with incident response, threat detection, and common attack vectors. Candidates should possess solid Analytical Skills, including the ability to interpret complex technical data, draw conclusions, and communicate findings clearly to technical and non-technical stakeholders. Relevant certifications (e.g., GCFA, CHFI, CEH, or similar) and experience with common forensic tools (e.g., EnCase, FTK, Autopsy, Cellebrite) are beneficial. A degree in Computer Science, Information Security, Digital Forensics, or a related field is preferred, along with experience working in investigative, consulting, or security operations environments. Ability to work collaboratively in a diverse team, maintain confidentiality, follow ethical guidelines, and manage part-time hybrid work in Dubai effectively.
???? Data Entry Analyst (Remote / Entry-Level) We are looking for a Data Entry Analyst to support simple data and online tasks in a fully remote environment. No experience is required, as training will be provided. Responsibilities:Enter and update data Check information for accuracy Maintain simple reports and records Complete assigned online tasks Requirements:Fresh graduates and beginners welcome Basic computer or mobile phone skills Responsible and willing to learn Able to follow instructions What We Offer:Fully remote work Flexible schedule Training and support provided Full-time and part-time positions available
???? Data Entry Analyst (Remote / Entry-Level) We are looking for a Data Entry Analyst to support simple data and online tasks in a fully remote environment. No experience is required, as training will be provided. Responsibilities:Enter and update data Check information for accuracy Maintain simple reports and records Complete assigned online tasks Requirements:Fresh graduates and beginners welcome Basic computer or mobile phone skills Responsible and willing to learn Able to follow instructions What We Offer:Fully remote work Flexible schedule Training and support provided Full-time and part-time positions available
Overview<br><br>Data, Reporting & Infrastructure<br><br>Own and maintain all data pipelines supporting paid media reporting and analytics, ensuring reliability, scalability, and accuracy. Manage and validate data integrations via APIs across media platforms, analytics tools, and visualization environments. Oversee dashboard development and maintenance, ensuring client-facing visualizations are fully accurate, up to date, and aligned with agreed KPIs. Act as the primary quality-control owner for all data outputs, proactively identifying and resolving discrepancies or errors. Work closely with activation and ad operations teams to ensure correct backend trafficking, tagging, and tracking implementation across all campaigns.<br><br>Planning & Performance Reporting Management<br><br>Own and manage the client’s Annual Media Planning Document, which includes yearly KPIs which is monitored and reported monthly to the client. Ensure KPIs are consistently reflected across planning documents, dashboards, and performance reports. Maintain historical performance benchmarks and ensure year-on-year comparability.<br><br>First-Party Data & CDP Enablement<br><br>Act as support for the client’s Customer Data Platform (CDP), ensuring first-party data is effectively leveraged across paid media. Support the activation, measurement, and optimization of first-party and audience-based media strategies. Translate complex first-party data outputs into actionable insights for planners and client stakeholders. Ensure data governance, consistency, and best practices are upheld when using customer data in paid media environments.<br><br>Responsibilities<br><br>Technical & Product<br><br>Strong, hands-on understanding of paid media platforms and ecosystems. Proven experience working with:APIs and data integrations Data pipelines Visualization tools and dashboards Trafficking, tagging, and tracking frameworks Advanced, professional-level Excel skills (complex formulas, pivots, data validation, large datasets).<br>Client & Internal Collaboration<br><br>Act as a trusted analytics partner to client stakeholders, confidently explaining data methodologies, KPIs, and performance trends. Collaborate closely with planning, activation, technology, and data teams to ensure seamless end-to-end delivery. Support senior leadership with analytical inputs for client presentations, reviews, and strategic discussions. Help establish and evolve analytics best practices within the planning team. Exceptional attention to detail with a track record of delivering accurate, error-free outputs. Strong communication skills, with the ability to translate data into clear insights for non-technical stakeholders and working collaborative within larger teams.<br><br>Innovative & Analytical Mindset<br><br>Highly detail-oriented and methodical Passionate about data and continuous improvement Proactive problem-solver with strong ownership mindset Comfortable working in fast-paced, deadline-driven environments Collaborative and client-focused<br><br>People & Leadership<br><br>Seeks others' feedback to develop self-awareness, strengths and address development area. Is able to proactively raise issues to improve effective team working and collaboration. Is able to communicate confidently in a clear, concise and articulate manner. Collaborates with stakeholders and embraces an inclusive based environment. Is able to make valuable contributions to discussions and brainstorming sessions, providing insight and point of view. Able to build relationships quickly with others and engages personally with peers and clients. Treats others with respect, listens to other perspectives, especially when they are different from own. Able to tackle problems in a timely manner and develop contingency plans that focus on problem resolution. Drives a culture of trust with Peers, clients and all other stakeholders.<br><br>Self<br><br>Is able to take ownership for actions and deals with consequences in a mature manner. Able to adjust performance based on experiences and feedback and showcases agility and flexibility. Displays openness to the ideas of others and leverages them when beneficial for the business. Showcases curiosity and open mindset towards new ways of doing things. Is able to set high impact objectives and goes above and beyond to exceed performance. Demonstrates the Growth Mindset and is able to take ownership of personal development and growth. Capable of constructively challenging the status-quo and takes risks to challenge internal and external perspectives. Approaches situations and individuals with honesty, integrity and humbleness. Displays resilience and maintains drives and a positive outlook when faced with challenges.<br><br>Qualifications<br><br>5+ years of experience in media analytics, marketing analytics, or performance measurement, ideally within a media agency or complex client environment.<br><br>Additional Information<br><br>R-3862P-4387
Company Description PwC Acceleration Center India is part of PwC’s global network of diverse talent hubs that support territories around the world with high-quality services and operational excellence. With offices in Kolkata, Hyderabad, Mumbai, and Bangalore, the Acceleration Centers act as global competency centers, providing scale, specialized skills, and a platform for innovation. Teams in India collaborate closely with international PwC firms to deliver client service excellence and help solve complex business problems. The centers combine leading technology with top talent to create value for clients and for PwC professionals, enabling challenging and impactful work. At PwC Acceleration Center India, people are central to the mission, working with some of the best minds in the country on engagements that shape global outcomes.<br>Role Description The OWNER role at PwC Acceleration Center India is a full-time, on-site position based in Hyderabad. The individual in this role will take end-to-end ownership of designated projects or service lines, including planning, execution, quality control, and delivery in alignment with PwC standards and client expectations. Day-to-day responsibilities include coordinating with cross-functional teams, managing timelines and resources, monitoring risks and issues, and ensuring consistent communication with stakeholders. The OWNER will be expected to drive process improvements, leverage technology and data for better decision-making, and uphold compliance with internal policies and external regulations. This role also involves mentoring team members, fostering collaboration, and contributing to a culture of continuous learning and innovation.<br>Qualifications<br> Strong project and program ownership skills, including planning, prioritization, and execution in a fast-paced environment. Experience in stakeholder management, cross-functional collaboration, and communication with global and local teams. Ability to analyze data, identify trends, and use insights to improve processes, performance, and client outcomes. Proficiency with common business and collaboration tools (e.g., spreadsheets, presentation software, project management platforms). Demonstrated leadership capabilities, including mentoring, team coordination, and promoting accountability and quality. Strong problem-solving and critical thinking skills, with a focus on innovation, continuous improvement, and risk management. Excellent verbal and written communication skills in English, with the ability to present information clearly to diverse audiences. Bachelor’s degree in business, management, finance, technology, or a related field; advanced qualifications or certifications (e.g., PMP, Agile) are an advantage. Prior experience in professional services, shared services, or global competency centers is beneficial. Ability to work on-site in Hyderabad and collaborate effectively within a multicultural, inclusive work environment.
Experienced Test Analyst - Dubai On-site<br>Company:Fime is a globally recognized international player providing deep expertise across digital payments, mobility services, and digital identity. We work with leading organizations worldwide to solve complex challenges, identify emerging opportunities, and future-proof their strategies.<br>Our team of 900+ experts operates in over 20 locations around the globe, delivering solutions that support millions of transactions every day, across global markets. What sets us apart is our values: we are curious, creative, and highly collaborative, with a strong commitment to integrity - we do the right thing for our clients, our people, and our shareholders.<br>At Fime, the work is varied and intellectually stimulating. No two days are the same, and you will be surrounded by smart, engaged colleagues who value learning and continuous improvement.<br>Making innovation possible. Making the world work.<br>Mission:The mission of this role is to ensure the accurate execution, analysis, and reporting of EMV and payment-related tests while delivering high-quality technical support to customers and internal teams. The position contributes to maintaining service excellence, strengthening compliance, and supporting the implementation of new payment solutions.<br>ACTIVITIESDemonstrating exceptional technical knowledge to conduct test sessions in accordance with the related Quality Assurance Plan. Analyzing EMV test data and results, providing insightful feedback. Producing comprehensive test reports and continually striving to minimize issues identified during reviews. Understanding the purpose of tests with respect to customer needs and specificities within the testing scope. Developing technical documentation and actively contributing to the internal knowledge base. Offering technical consulting and debugging services to customers, both remotely and on customer premises when necessary. Providing technical support internally to colleagues. Ensuring the delivery of high-quality service at all times and adhering to the quality process. Expanding your skillset and maintaining acquired skills while actively suggesting improvements. Collecting and disseminating customer feedback to enhance our services. Being the technical point of contact for customers and participating in internal training sessions. Actively participating in sharing technical knowledge with colleagues. Qualification of test tools and coordinating with vendors.<br>ADDITIONAL RESPONSIBILITIESReviewing and authorizing test reports. Preparing and delivering internal technical training sessions. Providing extensive technical support and analysis to internal teams, customers, and authorities. Engaging actively in the implementation of new services and projects for service improvement. Participating in audit preparations and actual audits. Engaging in technical discussions with authorities such as Master Card, Discover, Jaiwan and others. Autonomy on tasks planning.<br>JOB EXPERIENCE3 -5 years of experience in the payment industry. Good English language proficiency (oral and written). Excellent written and spoken communication skills within an international and multi-cultural environment. High degree of accuracy and thoroughness in work.<br>KNOWLEDGE & SKILLSStrong knowledge in CPV certification. Experience in coordinating with Payment schemes. Familiarity with Quality System and procedures. Customer-oriented mindset.<br>Contract: Full Time Location: Dubai on-site Start Date: ASAP.
Hiring: Business Intelligence (BI) Analyst (United Arab Emirates) We are currently seeking a highly analytical and detail-oriented Business Intelligence (BI) Analyst to join our growing team in the United Arab Emirates. Position:Business Intelligence (BI) Analyst Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Develop, maintain, and optimize business intelligence dashboards and reporting solutions Analyze large datasets to identify trends, opportunities, and actionable insights Collaborate with stakeholders to gather business requirements and reporting needs Design and implement KPIs, metrics, and performance monitoring frameworks Create data visualizations and reports to support strategic decision-making Ensure data accuracy, consistency, and integrity across reporting systems Support data warehousing, ETL processes, and analytics initiatives Provide recommendations to improve business performance and operational efficiency Requirements:Bachelor's degree in Data Analytics, Business Intelligence, Computer Science, Statistics, Information Systems, or a related field Strong proficiency in SQL, Microsoft Excel, and data analysis techniques Experience with Power BI, Tableau, Looker, Qlik, or similar BI platforms Knowledge of data modeling, ETL processes, and data warehousing concepts Familiarity with Python, R, or other analytical tools is an advantage Strong analytical, problem-solving, and communication skills Ability to translate complex data into clear and actionable business insights Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to enterprise analytics and digital transformation projects Career advancement opportunities Collaborative and data-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help transform data into strategic insights that drive smarter decisions, operational excellence, and business growth!
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<p><b>What you will do</b></p><br><p>At Johnson Controls, we help customers improve outcomes through reliable operations and strong service performance. In this role, you will support the planning foundation for the Dubai Parts Hub and help keep the right parts available at the right time.</p><br><p>You will work across planning, supply, inventory, and service teams to support On-Time Delivery (OTD), inventory health, and customer service.</p><br><p>The Parts Planning Analyst - Dubai Hub is responsible for demand planning, inventory optimization, supply planning, item master governance, and service level tracking. You will partner closely with Sales, Service, Operations, Procurement, Logistics, and Regional Planning teams.</p><br><p><b>How You Will Do It</b></p><br><ul><li><p>Develop and maintain demand forecasts for service parts using consumption history, trends, and market input.</p><br></li><li><p>Analyze forecast performance, seasonality, installed base trends, and service activity to identify demand drivers.</p><br></li><li><p>Support consensus planning with regional and cross-functional stakeholders.</p><br></li><li><p>Set stocking policies and replenishment parameters that balance service, working capital, and inventory health.</p><br></li><li><p>Monitor inventory turns, days of supply, excess stock, slow-moving items, and stock-out risk.</p><br></li><li><p>Maintain planning data in iScala, including lead times, stocking rules, supplier data, and product classifications.</p><br></li><li><p>Support purchase requirements, open orders, expediting, new product introductions, and part phase-outs.</p><br></li><li><p>Build reports and dashboards that improve visibility and support better decisions.</p><br></li><li><p>You will own planning data and follow-through with accountability, integrity, and clear priorities.</p><br></li><li><p>You will stay close to the work, use ERP and iScala data carefully, and remove barriers to customer supply.</p><br></li><li><p>You will use root cause analysis and inventory review to improve forecast and planning performance every day.</p><br></li><li><p>You will work as one team across functions, sharing practical recommendations and building trust.</p><br></li></ul><p><b>What we look for</b></p><br><p><span><b>Required</b></span></p><br><ul><li><p>Bachelor's degree in Supply Chain Management, Business, Engineering, Operations Management, Statistics, Analytics, or a related field.</p><br></li><li><p>5+ years of experience in inventory planning, demand planning, supply planning, materials management, or a related supply chain function.</p><br></li><li><p>Experience with ERP systems, preferably iScala, SAP, Oracle, Microsoft Dynamics, or similar systems.</p><br></li><li><p>Advanced Microsoft Excel skills, including formulas, lookups, pivot tables, and data analysis.</p><br></li><li><p>Strong analytical and problem-solving skills.</p><br></li><li><p>Experience using data to support inventory and forecasting decisions.</p><br></li><li><p>Strong communication and stakeholder management skills.</p><br></li><li><p>Ability to manage multiple priorities and work independently.</p><br></li></ul><p><b><span>Nice-to-Have</span></b></p><br><ul><li><p>APICS CPIM, CSCP, or an equivalent supply chain certification.</p><br></li><li><p>Experience with service parts or aftermarket inventory.</p><br></li><li><p>Experience using Power BI, Tableau, or similar reporting tools.</p><br></li><li><p>Knowledge of SLOB management, lifecycle planning, or Middle East logistics.</p><br></li></ul> </div>
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Company:Description:<p>Marsh is the world’s leading insurance broker and risk advisor. We protect and promote possibility—helping clients dream bigger, reach further, and plan for the opportunities ahead. We bring solutions that help our clients manage risk, grow, and succeed.</p><br><p><b>Graduate Risk Engineering Data Analyst / Data Scientist (Technology & Innovation) — Energy & Power | </b><b>Abu Dhabi / Dubai</b></p><br><p><b>The Role</b></p><br><p>We are seeking a motivated and detail-oriented graduate to join our <b>MEA Risk Engineering / Technology and Innovation</b> team, supporting Marsh Specialty’s <b>Energy and Power Risk Engineering</b> teams.</p><br><p>This role blends <b>process improvement, digitalization, data analysis, and hands-on exposure to risk engineering</b>. You will help analyze how our teams work, identify inefficiencies, and contribute to building digital tools and automated solutions that improve internal processes—while also supporting risk engineering deliverables and client work.</p><br><p><b>Key Responsibilities</b></p><br><ul><li><b>Process Analysis & Digitalization:</b> Work closely with internal teams to understand existing workflows and processes, identify opportunities for improvement, and support the design of digital solutions that increase efficiency and reduce manual effort.</li><li><b>Innovation and Software Development:</b> Build and maintain internal tools and applications that solve real business problems faced by our Energy and Power teams across the MEA region. Explore and apply emerging technologies, including AI and machine learning where appropriate, to develop smarter internal solutions.</li><li><b>Data Collection & Analysis:</b> Collect, organize, and validate data from multiple sources, including risk engineering surveys and internal databases. Analyze and interpret data using Microsoft Excel and internal tools to ensure accuracy and generate actionable insights.</li><li><b>Collaboration with Risk Engineers:</b> Partner closely with the MEA Energy and Power Risk Engineering teams to support risk assessments, insurance submissions, and client presentations. Provide data-driven insights to help identify and mitigate potential risks.</li><li><b>Client Support:</b> Support the preparation of presentations and reports and participate in internal and client meetings as required.</li><li><b>Training & Development:</b> Shadow experienced risk engineers during field surveys to gain practical exposure to risk engineering. Participate in ongoing training to develop expertise in risk engineering and data analysis.</li><li><b>Tools & Software:</b> Use Microsoft tools (Excel, PowerPoint, Word, etc.) to organize data, produce reports, and present findings. Leverage advanced data and automation tools to improve efficiency and depth of analysis.</li><li><b>Organization & Multitasking:</b> Manage multiple priorities effectively, meet deadlines in a fast-paced environment, and maintain well-organized records of data and analyses.</li></ul><p><b>Key Requirements</b></p><br><ul><li><b>Education:</b> Recent graduate with a degree in Engineering, Data Science, Mathematics, or a related field.</li><li><b>Technical skills:</b> Strong proficiency in Microsoft Excel and the broader Microsoft Office suite. Proficiency in a programming language and familiarity with automation tools, APIs, or low-code/no-code platforms is beneficial.</li><li><b>Analytical capability:</b> Comfortable working with data and translating analysis into practical outputs for business stakeholders. Strong attention to detail.</li><li><b>Communication:</b> Strong written and verbal communication skills, with the ability to present findings clearly and professionally.</li><li><b>Personal attributes:</b> Proactive, eager to learn, well-organized, and able to perform well under pressure.</li><li><b><u>UAE National only </u></b></li></ul><p><b>Why Join Us</b></p><br><ul><li><b>Learning and development:</b> Learn from experienced risk engineering professionals and gain exposure to major regional and global clients in the Energy and Power sector.</li><li><b>Career progression:</b> A unique development path with potential growth into more senior technical, analytics, technology, or client-facing roles.</li></ul><p><b>How to Apply</b></p><br><p>Please apply through the official Workday requisition link to be considered. We can only progress candidates who have submitted an application through the requisition.</p><br>Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. </div>
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<p>Marsh is the world’s leading insurance broker and risk advisor. We protect and promote possibility—helping clients dream bigger, reach further, and plan for the opportunities ahead. We bring solutions that help our clients manage risk, grow, and succeed.</p><br><br><br><p><b>Graduate Risk Engineering Data Analyst / Data Scientist (Technology & Innovation) — Energy & Power | </b><b>Abu Dhabi / Dubai</b></p><br><br><br><br><p><b>The Role</b></p><br><br><br><p>We are seeking a motivated and detail-oriented graduate to join our <b>MEA Risk Engineering / Technology and Innovation</b> team, supporting Marsh Specialty’s <b>Energy and Power Risk Engineering</b> teams.</p><br><br><br><p>This role blends <b>process improvement, digitalization, data analysis, and hands-on exposure to risk engineering</b>. You will help analyze how our teams work, identify inefficiencies, and contribute to building digital tools and automated solutions that improve internal processes—while also supporting risk engineering deliverables and client work.</p><br><br><br><p><b>Key Responsibilities</b></p><br><br><ul><li><b>Process Analysis & Digitalization:</b> Work closely with internal teams to understand existing workflows and processes, identify opportunities for improvement, and support the design of digital solutions that increase efficiency and reduce manual effort.</li><li><b>Innovation and Software Development:</b> Build and maintain internal tools and applications that solve real business problems faced by our Energy and Power teams across the MEA region. Explore and apply emerging technologies, including AI and machine learning where appropriate, to develop smarter internal solutions.</li><li><b>Data Collection & Analysis:</b> Collect, organize, and validate data from multiple sources, including risk engineering surveys and internal databases. Analyze and interpret data using Microsoft Excel and internal tools to ensure accuracy and generate actionable insights.</li><li><b>Collaboration with Risk Engineers:</b> Partner closely with the MEA Energy and Power Risk Engineering teams to support risk assessments, insurance submissions, and client presentations. Provide data-driven insights to help identify and mitigate potential risks.</li><li><b>Client Support:</b> Support the preparation of presentations and reports and participate in internal and client meetings as required.</li><li><b>Training & Development:</b> Shadow experienced risk engineers during field surveys to gain practical exposure to risk engineering. Participate in ongoing training to develop expertise in risk engineering and data analysis.</li><li><b>Tools & Software:</b> Use Microsoft tools (Excel, PowerPoint, Word, etc.) to organize data, produce reports, and present findings. Leverage advanced data and automation tools to improve efficiency and depth of analysis.</li><li><b>Organization & Multitasking:</b> Manage multiple priorities effectively, meet deadlines in a fast-paced environment, and maintain well-organized records of data and analyses.</li></ul><br><p><b>Key Requirements</b></p><br><br><ul><li><b>Education:</b> Recent graduate with a degree in Engineering, Data Science, Mathematics, or a related field.</li><li><b>Technical skills:</b> Strong proficiency in Microsoft Excel and the broader Microsoft Office suite. Proficiency in a programming language and familiarity with automation tools, APIs, or low-code/no-code platforms is beneficial.</li><li><b>Analytical capability:</b> Comfortable working with data and translating analysis into practical outputs for business stakeholders. Strong attention to detail.</li><li><b>Communication:</b> Strong written and verbal communication skills, with the ability to present findings clearly and professionally.</li><li><b>Personal attributes:</b> Proactive, eager to learn, well-organized, and able to perform well under pressure.</li><li><b><u>UAE National only </u></b></li></ul><br><p><b>Why Join Us</b></p><br><br><ul><li><b>Learning and development:</b> Learn from experienced risk engineering professionals and gain exposure to major regional and global clients in the Energy and Power sector.</li><li><b>Career progression:</b> A unique development path with potential growth into more senior technical, analytics, technology, or client-facing roles.</li></ul><br><p><b>How to Apply</b></p><br><br><p>Please apply through the official Workday requisition link to be considered. We can only progress candidates who have submitted an application through the requisition.</p><br><br><br><p> Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.<br>Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.<br>Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.<br></p><br><br><br> </div>
Job Description<br><br>We are seeking a highly analytical, detail-oriented Anti-Fraud Analyst to join our team. In this<br>role, you will monitor transactional activity, identify suspicious patterns, prevent fraudulent<br>behaviour, and safeguard both the company and our merchants from financial loss and<br>reputational harm.<br><br>This position requires a strong analytical mindset, the ability to make fast and accurate decisions,<br>and in-depth knowledge of online payments, card scheme rules, and evolving fraud trends—<br>especially in high-risk industries such as i Gaming, e-commerce, and digital services.<br><br>Job Requirements<br><br>Proven experience in fraud analysis, risk management, payments, or a related field. Strong analytical and problem-solving skills with great attention to detail. Ability to make fast, accurate, and well-reasoned decisions in high-pressure environments. Understanding of online payment flows, card scheme rules, chargebacks, and fraud prevention tools. Experience working with high-risk verticals such as i Gaming, e-commerce, digital services, or fintech (preferred). Proficiency in using fraud detection platforms, analytics tools, and transactional monitoring systems. Excellent communication skills and the ability to work cross-functionally. Strong organisational skills and the ability to manage multiple investigations simultaneously. Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation<br><br>Job Responsibilities<br><br> Monitor and analyse transaction activity to detect potential fraud, abuse, and anomalous behaviour. Investigate suspicious cases using internal systems, data sources, and fraud- detection tools. Make timely and accurate decisions to mitigate risk while minimising impact on legitimate customers. Identify emerging fraud trends and recommend proactive measures to reduce exposure. Collaborate with Risk, Compliance, Operations, and Merchant Support teams to resolve cases and optimize fraud prevention strategies. Maintain detailed documentation of investigations, decisions, and risk assessments. Assist in refining fraud rules, alerts, automation processes, and monitoring dashboards. Provide insights and reports to management on fraud patterns, KPIs, and ongoing risks. Stay up to date with industry developments, fraud methods, regulatory changes, and card scheme updates.<br><br>Job Benefits<br><br>Competitive salary package aligned with experience and market standards. Medical Insurance starting from day 1. Access to training resources and development opportunities that support your professional growth. Well-stocked office with snacks, drinks, and refreshments available daily. A multinational organisation that promotes a strong, collaborative culture Regular team-building events and company activities that strengthen collaboration across teams. Employee Recognition Program celebrating our "Employee of the Month" with special perks.
Roles Responsibilities<br><br> Design and implement statistical studies, surveys, and experiments Collect, clean, validate, and analyze large datasets Apply statistical methods (regression, hypothesis testing, forecasting, etc.) Build and evaluate statistical models to support decision-making Interpret and summarize results for stakeholders Create reports, dashboards, and visualizations Collaborate with cross-functional teams to define data requirements Ensure compliance with data governance and ethical standards Document methodologies and maintain reproducible analyses Stay current with statistical techniques and industry best practices<br><br>Requirements Skills<br><br> Bachelors or Masters degree in Statistics, Mathematics, Economics, or a related field Proven experience as a Statistician or in a quantitative analysis role Strong knowledge of statistical theory and methods Proficiency in statistical software and programming (R, Python, SAS, SPSS, SQL) Experience with data visualization tools (Tableau, Power BI, matplotlib, etc.) Excellent analytical, problem-solving, and critical-thinking skills Strong written and verbal communication abilities Attention to detail and commitment to data accuracy<br><br>This job is provided by Shine.com
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.<br><br>You’ll work closely with business teams including Operations, Product, Marketing, and Customer Service to deliver data-driven insights and maintain reporting excellence.<br><br>Key Responsibilities<br><br>Reporting, Analysis Visualization: Build and maintain recurring reports and dashboards using Tableau Excel, and internal tools. Track key performance indicators (KPIs) across fleet, operations, marketing, and business lines. Assist in visual storytelling and communicating insights to stakeholders in a clear, digestible format. Conduct exploratory and ad-hoc analyses to support initiatives like fleet optimization, customer segmentation, marketing initiatives. Collaborate with marketing, product, engineering to derive actionable insights from raw datasets. Support the automation of recurring data processes using SQL, Python 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. Document Data Processes, Dashboards Requests Collaboration Support Partner with stakeholders in Operations, Marketing, Product, and CS to address analytical requests and performance queries. Help train teams in reading dashboards and interpreting KPIs.<br><br>Qualifications Skills<br><br>Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.0–2 years of experience in a data analyst or business analyst role. Proficiency in SQL and working knowledge of Python (Pandas, Num Py, etc.). Experience with data visualization (Tableau, Power BI, Super Set) Strong Excel/Google Sheets skills. Comfortable working with large datasets and drawing actionable insights. Detail-oriented, with a problem-solving mindset and a proactive attitude. Preferred Skills Exposure to Super Set, GA4, NoSQL, CAC, LTV Jira, Confluence Understanding of business metrics in the mobility, logistics, or Saa S industry is a plus. Ability to work in a fast-paced startup environment. Understanding and experience of data pipelines / ETL concepts is preferred.
Job Description<br><br>Senior Business Analyst -Manager level (Product)<br><br>As an Endur Senior Business Analyst, you will help our clients develop and execute their product strategy. As part of your responsibilities, you will work closely with the other Product Managers, client leadership and delivery teams to create roadmaps, write user stories and lead your product teams. You will also be responsible for educating and guiding our clients on industry best practice.<br><br>Qualifications<br><br>Your Skills and Experience:<br><br>Must have:<br><br>10+ years as a BA in trading, energy or financial markets. Strong Endur functional knowledge across at least one asset class. Experience writing clear, testable requirements in an Agile environment. Confidence engaging traders and senior stakeholders in workshops.<br><br>Good to have:<br><br>Experience with Endur upgrades or large remediation programmes. Ability to analyse data (SQL/Excel) to support business cases. Formal BA training or certification (e.g., IIBA).<br><br>Set yourself apart with:<br><br>Stories where your requirements avoided rework or misalignment in complex initiatives. Examples of process improvements you designed around Endur usage at previous clients. with permanent fixes.<br><br>Additional Information<br><br>22 days paid holiday Medical insurance for employee and for family Complimentary return flight to your home country Schooling Allowance<br><br>Company Description<br><br>Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Prepare and publish accurate daily, weekly, monthly, and quarterly sales performance reports for the Home & Office business.</p></li><li><p>Analyze sales trends, customer performance, route productivity, product mix, and revenue drivers to identify growth opportunities and business risks.</p></li><li><p>Develop sales forecasts, demand projections, and performance outlooks to support business planning and decision-making.</p></li><li><p>Partner closely with the H&O leadership team by providing data-driven insights and recommendations to improve sales performance and profitability.</p></li><li><p>Track achievement against sales targets, budgets, and KPIs, highlighting performance gaps and corrective actions.</p></li><li><p>Design, maintain, and continuously improve sales dashboards and management reports using Power BI and Excel.</p></li><li><p>Conduct customer, territory, and channel-level analysis to support commercial strategy development.</p></li><li><p>Ensure accurate and timely sales order processing, order tracking, and delivery coordination.</p></li><li><p>Monitor order fulfillment and service levels, coordinating with Supply Chain and Customer Service teams to resolve issues.</p></li><li><p>Maintain the integrity and accuracy of sales data across reporting systems and databases.</p></li><li><p>Support annual budgeting, sales planning, and business review processes.</p></li><li><p>Automate and streamline reporting processes to improve efficiency and reporting accuracy.</p></li><li><p>Prepare presentations and analytical reports for leadership reviews, business meetings, and strategic discussions.</p></li><li><p>Perform administrative and reporting activities required to support the effective functioning of the H&O department.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor’s Degree in Business Administration, Commerce, Economics, Statistics, Finance, Data Analytics, or a related field.</p></li><li><p>5–7 years of experience in Sales Analytics, Sales Operations, Business Intelligence, or Commercial Planning within the FMCG industry.</p></li><li><p>Proven expertise in sales forecasting, budgeting, KPI tracking, performance reporting, and commercial analysis; experience in Home & Office, D2C, or B2B sales operations is preferred.</p></li><li><p>Advanced proficiency in Microsoft Excel (Power Query, Power Pivot, dashboards, data modeling) and Power BI for automated reporting and business insights.</p></li><li><p>Strong knowledge of ERP systems such as SAP, Oracle, or Microsoft Dynamics, with excellent data management and reporting capabilities.</p></li><li><p>Highly analytical with the ability to translate complex data into actionable business recommendations and support strategic decision-making.</p></li><li><p>Strong communication, stakeholder management, and organizational skills, with a proactive, results-driven mindset and the ability to thrive in a fast-paced environment</p></li></ul><p></p></section>
Welcome to Multi Bank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.<br>Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, Multi Bank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.<br>Role Overview<br>We are seeking a AI Product Analyst to drive the analytical foundation of Multi Bank Group’s AI and data initiatives. This role sits at the intersection of Artificial Intelligence, Product Analytics, and Financial Technology, helping shape AI-powered products, automation solutions, customer intelligence platforms, and data-driven decision-making across the organization.<br>The successful candidate will partner with Product, Engineering, Data Science, AI Engineering, and Business teams to measure product performance, identify opportunities for AI adoption, define success metrics, and generate actionable insights that accelerate innovation. You will also lead a team of Product Analysts while establishing best practices for AI product measurement, experimentation, and governance.<br>Key Responsibilities<br>Define and execute the analytics strategy for AI-powered products, machine learning models, and intelligent automation initiatives. Establish scalable data frameworks, KPIs, and measurement systems to evaluate AI product performance and business impact. Collaborate with AI Engineers, Data Scientists, Product Managers, and Development teams to translate business requirements into analytical roadmaps. Develop methodologies for monitoring model performance, prediction accuracy, user adoption, drift detection, and AI effectiveness. Design and evaluate experiments, A/B tests, and AI model comparisons to optimize product outcomes. Analyze customer behavior, trading patterns, engagement funnels, and operational workflows to identify opportunities for AI-driven improvements. Build executive dashboards and reporting frameworks that communicate AI performance and business value to senior stakeholders. Ensure data quality, consistency, and governance across AI systems, analytics platforms, and customer-facing applications. Create and maintain comprehensive documentation for AI metrics, model definitions, event taxonomies, and analytical processes. Lead, mentor, and develop a team of Product Analysts while fostering a data-driven culture across the organization.<br>Qualifications and Requirements<br>5+ years of experience in Product Analytics, Data Analytics, AI Analytics, Data Science, or a related field. Strong hands-on expertise in SQL and working with large-scale datasets, customer journeys, transactional data, and behavioral analytics. Experience supporting AI, Machine Learning, Generative AI, or intelligent automation products in production environments. Strong understanding of machine learning concepts, model evaluation metrics, feature engineering, and AI performance monitoring. Proven experience designing and analyzing experiments, A/B testing frameworks, and statistical significance methodologies. Experience with analytics and observability platforms such as Mixpanel, Amplitude, GA4, Segment, Datadog, Grafana, or similar tools. Familiarity with cloud-based analytics environments and modern data platforms (AWS, Azure, GCP, Snowflake, Databricks, or equivalent). Knowledge of financial markets, trading platforms, fintech products, CFDs, cryptocurrency, or digital asset ecosystems is highly desirable. Excellent stakeholder management, communication, and presentation skills with the ability to influence senior leadership.<br>Preferred Profile<br>Experience measuring and optimizing Generative AI applications, LLM-based products, AI assistants, recommendation systems, or predictive analytics solutions. Familiarity with MLOps concepts, model lifecycle management, and AI governance frameworks. Experience working within regulated industries such as financial services, banking, fintech, or capital markets. Strong business acumen with the ability to connect AI initiatives to measurable commercial outcomes. Passion for emerging AI technologies and their practical application in financial services.<br>Why Join Us?<br>Work with an industry-leading global financial institution at the forefront of AI innovation in financial services. Help shape the future of AI-powered trading, automation, and customer experiences across a global organization. Competitive salary and comprehensive employee benefits. Opportunities for professional growth and career advancement in AI, data, and product leadership. Collaborative, inclusive, and dynamic work environment. Commitment to innovation, cutting-edge technology, and professional excellence.<br>Become part of our international community at Multi Bank Group, dedicated to excellence, innovation, and shaping the future of AI-driven finance.
Job Description<br><br>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling — Claude-generated artefacts, AI-assisted SQL drafting — as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera’s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker.<br><br>Job Requirements<br><br> 5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry. Bachelor’s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience. Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions. Hands-on experience operating across multiple, heterogeneous data systems (relational databases, Saa S platforms, file-based exports) without requiring engineering hand-holding for data extraction. Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data. Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation<br> Required Skills & Competencies:Strong SQL — complex joins, CTEs, window functions, performance-conscious query design — applied to Postgre SQL or comparable relational databases. Strong Tableau — dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server. Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient. Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work — including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication. Strong analytical and critical thinking combined with excellent written and verbal communication in English — able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences. <br>Nice-to-have/Preferred:Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes — understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations. Exposure to Salesforce reporting (SOQL, Reports & Dashboards) — relevant given Salesforce’s role as a primary CRM and operational data source at finera.<br><br>Job Responsibilities<br><br>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience — Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs. Independently retrieve, join, and validate data from across finera’s information systems — Postgre SQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source — without relying on engineering support for routine extraction. Build, maintain, and continuously improve the BI team’s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks. Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier — drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts — while retaining full ownership of correctness, business interpretation, and data quality. Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.<br><br>Job Benefits<br><br>Competitive salary package aligned with experience and market standards. Medical Insurance starting from day 1. Access to training resources and development opportunities that support your professional growth. Well-stocked office with snacks, drinks, and refreshments available daily. A multinational organisation that promotes a strong, collaborative culture Regular team-building events and company activities that strengthen collaboration across teams. Employee Recognition Program celebrating our "Employee of the Month" with special perks.
About the Role:We are seeking a highly skilled and experienced Fraud & Risk Analyst to join our team. The ideal candidate will have proven experience in fraud risk management and possess a strong analytical mindset to identify and mitigate fraudulent activities. The role involves monitoring transactions, processes, and operational activities for fraud prevention purposes; detecting suspicious patterns, transactions, and behaviors through data analysis; and investigating potential fraud cases. The role contributes to financial loss mitigation, ensures regulatory compliance, and supports the protection of the company’s reputation while maintaining a robust fraud risk governance framework. Excellent communication and presentation skills are essential for this role. This position reports to the Head of Risk.<br>Key Responsibilities:Monitor and analyze transactions, processes, and operational activities to detect suspicious behavior and potential fraud. Identify, assess, and mitigate fraud risks using data-driven and analytical approaches. Support the development and implementation of fraud detection strategies, tools, and processes. Analyze data to identify anomalies, trends, and emerging fraud patterns. Conduct thorough investigations of suspected fraud cases and document findings. Escalate confirmed or high-risk fraud cases to relevant stakeholders in a timely manner. Collaborate with cross-functional teams to enhance fraud prevention measures and internal controls. Support the continuous improvement of fraud monitoring mechanisms and control frameworks. Prepare detailed reports and presentations on fraud trends, investigation outcomes, and key risk indicators. Communicate findings, insights, and recommendations clearly to management and stakeholders. Ensure adherence to applicable regulatory requirements, internal policies, and fraud risk frameworks. Assist in the preparation of regulatory reports and responses related to fraud incidents. Support internal and external audits, regulatory reviews, and compliance assessments. Stay updated on relevant regulations (e.g., DFSA/DIFC, AML/CTF) and incorporate requirements into fraud risk practices.<br>Team Collaboration:Work closely with IT, Finance, Operations, and other departments to ensure effective fraud detection and prevention. Participate in regular team meetings to discuss ongoing cases and share insights. Provide training and guidance on fraud awareness and detection techniques. Foster a collaborative environment to continuously improve fraud prevention strategies.<br>Technical Skills:Fraud analytics (predictive modelling, anomaly detection) Insurance domain knowledge (life, health, general insurance) preferred Investigation techniques and forensic analysis Risk assessment and control design Strong data handling and analytical tools (Excel, Power BI)<br>Soft Skills:Strong analytical and problem-solving ability High ethical standards and integrity Attention to detail Stakeholder management and communication skills Ability to make sound decisions under uncertainty<br>Education & Qualifications:Bachelor’s degree in Finance, Risk Management, Computer Science, or a related field Relevant certifications such as CFE, CAMS, or ICA (Financial Crime Compliance) are an advantage<br>Experience:Minimum 5 years of experience in fraud detection and fraud risk management Exposure to claims and underwriting fraud preferred Experience with data analytics-driven fraud detection
Role Overview We are seeking a highly capable Senior Business Analyst with strong UI/UX design capabilities and extensive experience using modern AI-assisted development tools such as Claude Code, Chat GPT, Cursor, Git Hub Copilot, and Figma. This role goes beyond traditional business analysis. The successful candidate will be responsible for discovering business needs, translating requirements into user-centric experiences, designing high-fidelity prototypes, preparing comprehensive specifications, and working closely with engineering teams to accelerate delivery through AI-assisted product design and development workflows. The ideal candidate combines analytical thinking, process design, user experience expertise, product ownership, and strong technical understanding to transform complex business requirements into intuitive digital solutions.<br>Key Responsibilities Business Analysis & Requirements Engineering Lead discovery workshops, stakeholder interviews, and business process analysis sessions. Gather, analyze, document, and validate:Business requirements Functional requirements Non-functional requirements Business rules User stories Acceptance criteria Process flows Use cases Data requirements Translate business objectives into actionable product and technology requirements. Identify process gaps, inefficiencies, risks, and opportunities for automation and optimization. Act as the primary bridge between business stakeholders, project teams, product owners, and engineering teams. Drive requirement traceability from inception through deployment.<br>Product Design & UI/UXCreate exceptional user experiences for web, mobile, portal, and enterprise applications. Design:User journeys Personas Customer experience flows Information architecture Wireframes Low-fidelity prototypes High-fidelity prototypes Interactive user flows Develop pixel-perfect designs in Figma that are ready for engineering handoff. Ensure consistency through:Design systems Component libraries Accessibility standards Responsive design principles Collaborate closely with stakeholders to validate usability and customer experience objectives. Champion user-centric design methodologies across projects.<br>AI-Assisted Product Development Leverage AI tools to accelerate business analysis, product design, prototyping, and documentation activities. Heavy daily usage of:Claude Code Chat GPTCursor Git Hub Copilot Figma AIMicrosoft Copilot Gemini Develop detailed prompts and structured workflows to:Generate prototypes Produce specifications Draft user stories Create test scenarios Generate wireframes Accelerate documentation Work closely with developers to transform AI-generated concepts into production-ready solutions. Understand emerging AI-assisted software development methodologies and continuously improve delivery efficiency.<br>Figma Design & Prototyping Develop comprehensive Figma prototypes that accurately represent production-ready applications. Create:Design systems Component libraries Responsive layouts Interactive prototypes Mobile-first experiences Arabic and English user interfaces Prepare developer-ready specifications including:Spacing Typography Component behavior States and interactions Responsive behavior Accessibility requirements Maintain design consistency across multiple projects and platforms.<br>Functional Documentation Produce comprehensive project documentation including:Business Requirement Documents (BRD) Functional Requirement Specifications (FRS) User Story Backlogs Product Requirement Documents (PRD) User Manuals Process Maps Journey Maps Workflow Diagrams Screen Specifications Integration Specifications Test Scenarios UAT Scripts Ensure documentation remains current throughout the project lifecycle. Maintain full traceability between business requirements and delivered functionality.<br>Product Ownership & Agile Delivery Work closely with Project Managers, Product Owners, and Engineering Leads. Participate in:Sprint planning Backlog grooming Daily standups Sprint reviews UAT sessions Release planning Prioritize requirements based on business value and delivery objectives. Support engineering teams by clarifying requirements and resolving ambiguities. Validate delivered functionality against business requirements and user expectations.<br>Process Design & Digital Transformation Analyze existing business processes and design optimized future-state workflows. Develop:As-is process maps To-be process maps Service blueprints Operational models Workflow automation opportunities Identify opportunities for:AI adoption Process automation Citizen services enhancement Employee experience improvement Digital transformation initiatives Support enterprise modernization programs across government, justice, healthcare, and regulated industries.<br>Stakeholder Management Engage effectively with:Executive stakeholders Government officials Business users Product owners Technical teams Vendors External partners Facilitate workshops and discussions that drive decisions and achieve consensus. Present complex concepts in a clear and business-friendly manner. Manage stakeholder expectations throughout project delivery.<br>Quality Assurance & User Acceptance Support quality assurance activities by defining:Acceptance criteria Test scenarios Business validation rules User acceptance plans Participate in UAT execution and issue triage. Ensure delivered solutions align with documented requirements and user expectations.<br>Required Qualifications Bachelor’s Degree in Business Administration, Information Systems, Computer Science, Human Computer Interaction, Design, Engineering, or a related discipline. Minimum 5 years of experience as a Business Analyst, Product Analyst, Product Designer, or Functional Consultant. Proven experience delivering enterprise software, digital transformation, or government technology projects.<br>Required Skills & Experience Business Analysis Requirements Gathering Business Process Modeling BPMNUser Story Development Agile Methodologies Functional Analysis Workshop Facilitation UI/UX Design Figma (Expert Level) Wireframing Prototyping Design Systems Information Architecture Responsive Design Accessibility Standards AI Tools Claude Code (Advanced User) Chat GPTCursor Git Hub Copilot Figma AIMicrosoft Copilot Documentation BRDFRSPRDUAT Documentation Process Mapping Technical Specifications Technical Understanding APIs and Integrations REST Services JSONDatabases Cloud Platforms Enterprise Applications<br>Preferred Tools Figma Claude Code Chat GPTCursor Git Hub Copilot Azure Dev Ops Jira Confluence Miro Microsoft Visio Lucidchart Power Platform<br>Key Success Indicators Requirements delivered with minimal ambiguity High stakeholder satisfaction Reduced design-to-development cycle time High adoption of AI-assisted delivery practices Consistent delivery of production-ready prototypes Reduced rework and change requests Successful project delivery within scope and timelines Improved user experience and customer satisfaction metrics