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data analyst & visualization specialist Jobs in Dubai

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data analyst - insurance domain Jobs in Dubai

data analyst - insurance domain

data scientist

senior data mining analyst

Almosafer

<div>
 
 
 About the Company:
 
 
 
 At Almosafer Travel &amp; Tourism Co,
 
 
 we&rsquo;re not just part of the travel industry, we&rsquo;re helping shape its future.
 
 
 As Saudi Arabia&rsquo;s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.
 
 
 Rooted in our name &ldquo;Almosafer,&rdquo; meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.
 
 
 
 
 
 We&rsquo;re united by a bold vision:
 
 
 To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.
 
 
 Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a Senior Data Analyst to join Almosafer&rsquo;s Data Intelligence team, embedded within the Marketing and CRM function, to power acquisition and retention strategies with data. You will partner closely with digital marketing (brand and performance), CRM, and loyalty teams to optimize spend, increase retention, and maximize customer lifetime value, while ensuring analytics follow Data Intelligence standards and governance. The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in digital marketing and CRM analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Acquisition &amp; Digital Marketing Analytics:
 
 
 <ul>
 <li>
 Act as the primary data partner for digital marketing channels (paid search, paid social, display, programmatic) and organic channels (SEO, referral, content).
 </li>
 <li>
 Build and maintain attribution models to evaluate channel effectiveness and optimize spend.
 </li>
 <li>
 Develop targeting strategies and audience segments for prospecting and retargeting campaigns.
 </li>
 </ul>
 
 
 CRM &amp; Retention Analytics:
 
 
 <ul>
 <li>
 Analyze customer behavior, repeat booking patterns, churn risk, and loyalty program engagement.
 </li>
 <li>
 Build retention and churn prediction models to improve CRM targeting.
 </li>
 <li>
 Measure and optimize CRM campaigns (email, push, in-app, SMS) for engagement and conversion.
 </li>
 <li>
 Partner with CRM managers to design and analyze A/B tests for lifecycle marketing.
 </li>
 </ul>
 
 
 Advanced Modelling &amp; Data Solutions:
 
 
 <ul>
 <li>
 Design and deploy ML and rule-based models for bid optimization, lifetime value prediction, and personalized offers.
 </li>
 <li>
 Ensure marketing and CRM datasets are high-quality and aligned with DI governance.
 </li>
 <li>
 Work with Marketing Automation teams to integrate model outputs into execution tools (Moengage, Salesforce Marketing Cloud, etc.).
 </li>
 </ul>
 
 
 BI Reporting &amp; Data Storytelling:
 
 
 <ul>
 <li>
 Build self-service dashboards in Tableau, Power BI, Looker, or similar to monitor acquisition, retention, and ROI metrics.
 </li>
 <li>
 Translate data into clear, actionable insights for marketing and CRM leadership.
 </li>
 <li>
 Monitor and report on KPIs such as CAC, ROAS, CLV, retention rates, and campaign ROI.
 </li>
 </ul>
 
 
 Collaboration &amp; Governance:
 
 
 <ul>
 <li>
 Act as a bridge between Marketing/CRM and the central Data Intelligence function, ensuring consistent definitions and methodologies.
 </li>
 <li>
 Share analytical best practices with other embedded analysts across functions.
 </li>
 <li>
 Promote data literacy within marketing and CRM teams.
 </li>
 </ul>
 
 
 
 
 
 Profile Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in STEM, Business Analytics, or related field.
 </li>
 <li>
 5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.
 </li>
 <li>
 Proficiency in SQL, Python or R, and advanced Excel.
 </li>
 <li>
 Strong experience in digital marketing analytics platforms (Google Analytics, Google Ads, Facebook Ads Manager, DV360) and CRM analytics.
 </li>
 <li>
 Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.
 </li>
 <li>
 Strong knowledge of customer lifecycle metrics (CAC, CLV, churn rate, retention cohorts).
 </li>
 <li>
 Excellent stakeholder management and communication skills; English fluency (Arabic preferred).
 </li>
 <li>
 Experience building and deploying machine learning models for acquisition and retention.
 </li>
 <li>
 Knowledge of rule-based targeting and marketing automation tools (Moengage, Salesforce Marketing Cloud, Adobe Campaign).
 </li>
 <li>
 Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).
 </li>
 </ul>
 
 
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way. Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.
 
 
 
 
 
 Here, you will find:
 
 
 A purpose-led workplace where your ideas can create real impact
 
 
 Ongoing learning and development to help you grow with intention
 
 
 Recognition that celebrates your wins, both big and small
 
 
 A community built on trust, curiosity, and shared momentum
 
 
 
 
 
 No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.
 
</div>

Senior Specialist - Data Intelligence

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 We are looking for a
 
 Sr. AI Engineer
 
 to join our
 
 GenAI Squad
 
 , your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as
 
 data enrichment, smart content understanding
 
 , and
 
 automated decision-making
 
 to enhance user experiences and business operations.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning and generative AI systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of working, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
 </li>
 <li>
 Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 5+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator, and communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Sr. Data Scientist (AI & ML)

Hays

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Financial Services
 
 
 
 
 Dubai, United Arab Emirates
 
 
 
 
 Permanent position
 
 
 
 
 
 
 We are looking for a Senior Data Scientist to join an investment team to help advance the next stage of growth for of tech‑driven wealth management firm.
 
 
 
 
 
 This role sits at the intersection of quant finance, AI and engineering. You will work directly quant analysts and researchers, to build models, tools, and insights that enhance investment decisions across multi‑asset portfolios.
 
 
 
 
 
 
 Asset class
 
 
 
 Experience working with multi‑asset datasets: equities, FX/currencies, rates, credit, commodities, derivatives.
 
 
 
 
 
 
 Experience needed
 
 
 <ul>
 <li>
 Python expertise
 </li>
 <li>
 ML proficiency
 </li>
 <li>
 Develop and maintain quantitative models for asset allocation
 </li>
 <li>
 Design and deploy LLM‑powered tools
 </li>
 <li>
 Familiarity with portfolio construction frameworks and allocation strategies
 </li>
 <li>
 Deep understanding of quantitative finance and financial datasets
 </li>
 <li>
 Implement AI models for quant research and investment workflows
 </li>
 <li>
 Previous QR/QA/SDS industry role within wealth management, managers, funds, or investment banks
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 PhD in Com Sci or relevant STEM
 </li>
 </ul>
 
 
 
 
 Salary, bonus, family visa, family medical, flight &amp; relocation assistance available for successful overseas applicants.
 
 
 
 
 
 **Due to the high number of applicants, only applicants with the above skillset will be contacted**
 
</div>

Senior Data Scientist

Robert Walters

<div>
 
 An exceptional opportunity awaits for a Senior Manager People Analytics to join a globally recognised organisation based in Dubai.
 
 <ul>
 <li>
 Lead the design, implementation, and optimisation of people analytics frameworks that support strategic decision-making across the entire organisation.
 </li>
 <li>
 Collaborate closely with HR, business leaders, and cross-functional teams to identify data-driven opportunities for improving employee engagement, retention, and performance.
 </li>
 <li>
 Develop advanced dashboards, reports, and visualisations that communicate complex workforce trends in an accessible manner to stakeholders at all levels.
 </li>
 <li>
 Ensure the integrity, accuracy, and security of people data by establishing robust governance protocols and compliance standards.
 </li>
 <li>
 Translate business challenges into analytical questions and deliver clear recommendations based on rigorous quantitative analysis.
 </li>
 <li>
 Mentor and guide junior analysts within the team, fostering a culture of knowledge sharing, empathy, and professional growth.
 </li>
 <li>
 Drive continuous improvement in data collection methodologies, ensuring alignment with best practices in people analytics.
 </li>
 <li>
 Partner with external vendors or consultants as needed to enhance analytics capabilities or implement new technologies.
 </li>
 <li>
 Monitor emerging trends in people analytics and proactively introduce innovative approaches that add value to the organisation.
 </li>
 <li>
 Support diversity, equity, and inclusion initiatives by providing insightful analysis on workforce demographics and related metrics.
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Extensive experience in people analytics or HR analytics roles within large organisations, demonstrating your ability to manage complex projects from inception to delivery.
 </li>
 <li>
 Proficiency in statistical analysis tools such as R, Python, or SPSS as well as advanced Excel skills for manipulating large datasets.
 </li>
 <li>
 Strong background in designing interactive dashboards using platforms like Power BI or Tableau to present workforce insights effectively.
 </li>
 <li>
 Deep understanding of HR processes including talent management, employee engagement surveys, performance measurement systems, and diversity metrics.
 </li>
 <li>
 Excellent interpersonal skills enabling you to collaborate empathetically with stakeholders from diverse backgrounds and functions.
 </li>
 <li>
 Proven track record of implementing robust data governance frameworks that ensure privacy compliance and data integrity.
 </li>
 <li>
 Ability to mentor junior team members by sharing knowledge generously and supporting their professional development.
 </li>
 <li>
 Experience working with cloud-based HRIS systems (such as Workday or SAP SuccessFactors) for extracting relevant people data.
 </li>
 <li>
 Outstanding written and verbal communication skills for presenting complex analyses in clear terms to non-technical audiences.
 </li>
 <li>
 Commitment to continuous learning demonstrated by participation in training programmes or industry forums focused on people analytics.
 </li>
 </ul>
 
 
</div>

Senior Manager - People Data Analytics

Amazon

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

Business Analyst - UAE Nationals, Strategic Initiatives

Majid Al Futtaim

<div>
 
 
 ROLE SUMMARY
 
 
 
 Support the Sales Operations team by owning and analyzing business data across sales, collections, broker performance, and customer transactions. The role focuses on turning data into meaningful insights, identifying trends, and supporting decision-making through clear reporting and presentations.
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Analyze sales, collections, broker activity, and customer data to identify trends, risks, and opportunities
 </li>
 <li>
 Develop dashboards and presentations highlighting key insights and actionable recommendations
 </li>
 <li>
 Monitor key metrics such as sales conversion, collections, defaulters, and broker performance
 </li>
 <li>
 Ensure accuracy and integrity of data across CRM systems (sales, customer, broker records)
 </li>
 <li>
 Identify data gaps and inconsistencies, and drive improvements in data quality
 </li>
 <li>
 Support forecasting, performance tracking, and periodic reporting for leadership reviews
 </li>
 <li>
 Collaborate with Sales, Finance, Legal, and CRM teams to validate data and ensure alignment
 </li>
 <li>
 Enhance reporting efficiency through process improvements, automation, and documentation of data standards
 </li>
 </ul>
 
 
 
 
 REQUIREMENTS
 
 
 
 
 <ul>
 <li>
 Strong analytical skills with the ability to interpret data and identify trends
 </li>
 <li>
 Advanced Excel skills (pivot tables, lookups, basic modelling)
 </li>
 <li>
 Working knowledge of CRM tools (e.g., Salesforce)
 </li>
 <li>
 Ability to create clear, structured presentations from data (PowerPoint)
 </li>
 <li>
 Understanding of sales cycles, collections tracking, and performance metrics
 </li>
 <li>
 Bachelor&rsquo;s degree with 1&ndash;3 years of relevant experience; detail-oriented, reliable, and able to translate data into actionable insights
 </li>
 </ul>
 
 
</div>

Emirati Talent - Senior Data Analyst

edari

<div>
 
 We are looking for a Senior
 
 Process Mapping Analyst - Signavio
 
 to analyze, design, document, and continuously improve business processes for our client in Dubai, a large semi-government entity. This role requires strong experience in process improvement, SOP development, and operational excellence to support efficient, compliant, and scalable operations across the organization.
 
 
 
 
 
 This is a
 
 permanent role
 
 in the organization and reports to the
 
 Process Excellence Lead
 
 in the
 
 Business Excellence &amp; Transformation
 
 department.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Analyze end-to-end business processes to identify inefficiencies, bottlenecks, and non-value-added activities
 </li>
 <li>
 Develop current-state (AS-IS) and future-state (TO-BE) process maps using standard BPM tools
 </li>
 <li>
 Apply Lean, Six Sigma, and continuous improvement methodologies to improve efficiency and standardization
 </li>
 <li>
 Establish process KPIs and metrics to measure improvements and ensure sustainability
 </li>
 <li>
 Collaborate with business leaders and process owners to drive adoption of process improvements
 </li>
 <li>
 Develop and maintain clear, user-friendly Standard Operating Procedures (SOPs), work instructions, and job aids
 </li>
 <li>
 Ensure SOPs meet regulatory, compliance, and internal control requirements
 </li>
 <li>
 Support SOP rollout through training, walkthroughs, and change enablement activities
 </li>
 <li>
 Maintain enterprise process repositories, governance frameworks, and BPM adoption
 </li>
 <li>
 Partner with compliance, risk, and audit teams to ensure processes are auditable and aligned with standards
 </li>
 <li>
 Present process improvement insights and recommendations to senior management
 </li>
 </ul>
 
 
 
 
 Knowledge, skills &amp; experience:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Engineering, Information Systems, or related field; Master&rsquo;s (MBA or MSc in Operational Excellence/Digital Transformation) preferred
 </li>
 <li>
 3&ndash;7 years&rsquo; experience in process excellence, BPM, or operational improvement roles
 </li>
 <li>
 Proven experience developing and governing SOPs in complex or regulated environments
 </li>
 <li>
 Track record of leading process optimization and digital enablement projects
 </li>
 <li>
 Experience in real estate, hospitality, healthcare, finance, manufacturing, consumer goods, or consulting is desirable
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications:
 
 
 <ul>
 <li>
 Lean Six Sigma Green/Black Belt
 </li>
 <li>
 Agile/Scrum
 </li>
 <li>
 Change management (e.g., Prosci)
 </li>
 <li>
 Digital transformation/automation tools (UiPath, Power Automate, Celonis)
 </li>
 <li>
 BPM tools (SAP Signavio, ARIS)
 </li>
 </ul>
 
 
 
 
 
 Technical &amp; Leadership Skills:
 
 
 <ul>
 <li>
 Strong process improvement methodology knowledge (Lean, Six Sigma, Kaizen)
 </li>
 <li>
 Ability to combine digital tools with process thinking to deliver results
 </li>
 <li>
 Excellent stakeholder management and cross-functional collaboration
 </li>
 <li>
 Analytical, data-driven, and problem-solving mindset
 </li>
 <li>
 Skilled in process mining, BI dashboards, workflow automation, or RPA platforms
 </li>
 <li>
 Ability to influence and guide executive leadership and regulators
 </li>
 <li>
 Strong verbal, written, and presentation skills
 </li>
 </ul>
 
 
 
 
 
 Availability:
 
 Preference will be given to candidates available immediately or within 30 days.
 
 
 
 
 
 We are looking for a candidate who can work in the UAE. Please apply with your resume and provide your contact details.
 
 
 Applications will be reviewed within 7 working days. If your profile fits the requirements, a consultant from Edari will reach out to discuss next steps.
 
 
 
</div>

Senior Process Mapping Analyst - Signavio

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