What Jobs are available for Sme Analyst in the United Arab Emirates?
Showing 81 Sme Analyst jobs in the United Arab Emirates
Course: Effective Business Decisions Using Data Analysis
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Effective Business Decisions Using Data Analysis
ID 257
Course: Effective Business Decisions Using Data Analysis
This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.
This course will feature:- Discussions on applications of data analytics in management
- The importance of data in data analytics
- Applying data analytical methods through worked examples
- Focusing on management interpretation of statistical evidence
- How to integrate statistical thinking into the work domain
- Explain the scope and structure of data analytics.
- Apply a cross-section of useful data analytics.
- Interpret meaningfully and critically assess statistical evidence.
- Identify relevant applications of data analytics in practice.
- Professionals in management support roles
- Analysts who typically encounter data/analytical information regularly in their work environment
- Those who seek to derive greater decision-making value from data analytics
This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.
The Course Content- Day One: Setting the Statistical Scene in Management
- Introduction; The quantitative landscape in management
- Thinking statistically about applications in management (identifying KPIs)
- The integrative elements of data analytics
- Data: The raw material of data analytics (types, quality, and data preparation)
- Exploratory data analysis using Excel (pivot tables)
- Using summary tables and visual displays to profile sample data
- Day Two: Evidence-based Observational Decision Making
- Numeric descriptors to profile numeric sample data
- Central and non-central location measures
- Quantifying dispersion in sample data
- Examine the distribution of numeric measures (skewness and bimodal)
- Exploring relationships between numeric descriptors
- Breakdown analysis of numeric measures
- Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
- The foundations of statistical inference
- Quantifying uncertainty in data – the normal probability distribution
- The importance of sampling in inferential analysis
- Sampling methods (random-based sampling techniques)
- Understanding the sampling distribution concept
- Confidence interval estimation
- Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
- The rationale of hypotheses testing
- The hypothesis testing process and types of errors
- Single population tests (tests for a single mean)
- Two independent population tests of means
- Matched pairs test scenarios
- Comparing means across multiple populations
- Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
- Exploiting statistical relationships to build prediction-based models
- Model building using regression analysis
- Model building process – the rationale and evaluation of regression models
- Data mining overview – its evolution
- Descriptive data mining – applications in management
- Predictive (goal-directed) data mining – management applications
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Subject Matter Expert (SME)
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Abu Dhabi, United Arab Emirates | Posted on 04/03/2025
We are seeking an experienced Subject Matter Expert (SME) to provide leadership and expert guidance on the ADNOC Warehouse Integrated Operations (WIO) Project. The SME will play a key role in the successful design, development, and implementation of ADNOC’s new centralized warehouse and logistics operating model, ensuring alignment with best practices in supply chain, safety, cost optimization, and technology integration. This full-time role requires an individual with extensive experience in warehouse and logistics transformation, preferably within the oil and gas industry, who will contribute to all project phases, from strategic planning to technical execution.
Key Responsibilities:
- Strategic Phase Support:
Review and validate strategic documents, including operating model proposals, financial assessments (OPEX, CAPEX), and manpower resourcing models. - Identify gaps and propose improvements in alignment with best practices, safety standards, and cost optimization.
- Collaborate with ADNOC’s operating partners to ensure alignment on legal, contractual, and service level agreements (SLAs).
- Technical Phase Support:
Evaluate technical and commercial aspects of warehouse design, logistics automation proposals, materials handling, and storage systems. - Ensure that designs, technical solutions, and integration plans are aligned with ADNOC’s requirements and international best practices.
- Support in reviewing energy models, risk management plans, and construction proposals to ensure technical feasibility and safety compliance.
- Project Execution and Implementation:
Oversee the execution of the WIO transformation, including EPC projects, automation, and the transition to the new operating model. - Monitor project progress, risks, and challenges, providing mitigation strategies and improvements as needed.
- Develop and review fortnightly progress reports, change management plans, communication strategies, and training programs for the project.
- Continuous Improvement and Risk Management:
Provide proactive risk management support throughout all phases of the project, identifying potential risks and recommending mitigation measures. - Ensure that all decisions align with ADNOC's safety, cost-efficiency, and operational standards.
- Evaluate financial models and provide guidance on cost optimization, including the back-charging model for resource allocation.
- Stakeholder Engagement and Communication:
Facilitate effective communication between ADNOC and all project stakeholders, including operating partners, contractors, and internal teams. - Ensure transparency and accountability in project reporting and decision-making processes.
- Support the change management process and assist in resolving any issues or gaps in the transformation process.
- Expert Guidance and Team Leadership:
Act as the go-to subject matter expert on all issues related to warehouse operations, logistics, automation, and supply chain management. - Lead and mentor other team members to build expertise in the field and ensure high-quality deliverables throughout the project.
- Support the recruitment and development of team members as needed to meet project goals.
Key Qualifications:
- Experience:
Minimum of 10 years of experience in warehouse and logistics operations, with a strong focus on transformation and optimization in the oil and gas sector or related industries. - Proven track record of leading or co-leading large-scale warehouse/logistics transformation projects.
- Expertise in digital warehouse solutions, automation technologies, and SAP integration.
- Strong understanding of supply chain management, procurement processes, and inventory management.
- Skills & Knowledge:
In-depth knowledge of warehouse models, logistics network design, and material handling systems. - Familiarity with HSE (Health, Safety, and Environmental) standards and compliance requirements, preferably with exposure to OSHA standards.
- Experience with financial assessments, including CAPEX/OPEX evaluation and cost benefit analysis.
- Proficiency in risk management, project management, and change management methodologies.
- Strong consultative and leadership skills, with a collaborative approach to working with multiple stakeholders.
- Education:
A Bachelor’s degree in Supply Chain Management, Logistics, Industrial Engineering, or related fields. Advanced certifications or qualifications in logistics or project management (e.g., PMP, Lean, Six Sigma) are preferred.
Additional Requirements:
The SME will be exclusively dedicated to this project for its entire duration and will not be assigned to any other projects. The selected SME must be approved by ADNOC during the technical evaluation process. Must be capable of obtaining the necessary visas and work permits to operate in the UAE.
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Business Analyst / SME - 8+ Yrs (Payments Domain)
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We are looking for experienced Business Analysts / Subject Matter Experts (8+ years) with strong expertise in the Payments domain to join our team in the UAE .
Must be currently based in the UAE .
Key Responsibilities- Gather, analyze, and document business requirements for payment systems.
- Collaborate with stakeholders, product, and technology teams to design effective payment solutions.
- Work on FTS, SWIFT, WPS, Payment Hub systems and ensure smooth implementation.
- Act as a bridge between business and IT teams, providing domain expertise and solution guidance.
- Support testing, validation, and production rollout of payment-related projects.
- Minimum 8+ years of experience as a Business Analyst / SME in Payments .
- Strong hands-on knowledge of FTS, SWIFT, WPS, Payment Hub .
- Proven experience in banking/financial services environment.
- Excellent communication and stakeholder management skills.
- Must be currently based in the UAE .
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Business Analyst / SME - 8+ Yrs (Payments Domain)
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Overview
We are looking for experienced Business Analysts / Subject Matter Experts (8+ years) with strong expertise in the Payments domain to join our team in the UAE .
(Must be currently based in the UAE .)
- Gather, analyze, and document business requirements for payment systems.
- Collaborate with stakeholders, product, and technology teams to design effective payment solutions.
- Work on FTS, SWIFT, WPS, Payment Hub systems and ensure smooth implementation.
- Act as a bridge between business and IT teams, providing domain expertise and solution guidance.
- Support testing, validation, and production rollout of payment-related projects.
- Minimum 8+ years of experience as a Business Analyst / SME in Payments .
- Strong hands-on knowledge of FTS, SWIFT, WPS, Payment Hub .
- Proven experience in banking/financial services environment.
- Excellent communication and stakeholder management skills.
- Must be currently based in the UAE .
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Healthcare Domain Subject Matter Expert
Posted 4 days ago
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We are looking for a Healthcare Domain Subject Matter Expert (SME) to lead requirement discovery and solutioning for data and analytics platforms . The ideal candidate will have deep expertise in Population Health, Quality of Care, and Patient Engagement use cases, with proven experience in defining KPIs and enabling analytical solutions that drive measurable business and clinical outcomes.
Key Responsibilities-
Requirement Discovery & Solutioning : Drive requirement gathering, analysis, and functional design for healthcare data and analytics platforms.
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Healthcare Analytics Use Cases : Define and enable solutions for Population Health, Quality of Care, Patient Engagement , and other key analytical initiatives.
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Healthcare Data Models : Work with industry-standard healthcare data models to design and align KPIs for advanced analytics.
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ML & KPI Integration : Collaborate with data science and engineering teams to drive functional solutioning for ML model deployment and KPI-driven data processing.
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Predictive Use Cases : Contribute to solutions for readmission prediction, chronic disease onset detection, utilization management , and other healthcare analytics scenarios.
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Stakeholder Collaboration : Act as the domain expert bridging business, clinical, and technical teams to ensure successful solution delivery.
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8+ years of experience as a Healthcare SME with focus on data and analytics platforms.
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Strong expertise in Population Health, Quality of Care, and Patient Engagement use cases.
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Deep understanding of healthcare data models and KPI-driven solutioning.
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Familiarity with healthcare predictive analytics and ML integration.
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Strong knowledge of regulatory, compliance, and quality reporting requirements in healthcare.
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Excellent stakeholder engagement, communication, and documentation skills.
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Shape transformative healthcare analytics solutions that improve patient outcomes.
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Work closely with cutting-edge data science and engineering teams .
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Opportunity to lead high-impact healthcare predictive analytics initiatives .
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Competitive salary, benefits, and career progression opportunities.
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Subject Matter Expert - Process Safety Management
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Overview
Allow us to introduce ourselves
At dss+ , we’re not just another global consulting firm. We are a purpose-driven company that exists to save lives and create a sustainable future – for our clients, employees, and communities. We put people at the heart of everything we do, and we’re a consultancy with heart. As an experienced process safety specialist , your expertise is vital in helping us protect people, assets, and the environment – making you an essential part of our mission. Right now, we’re strengthening our capability and presence and looking for a Subject Matter Expert in Process Safety to join our growing team. You will work with leading organisations to implement world-class Process Safety Management (PSM) practices, focusing on Process Hazard Analysis (PHA) and risk management in high-hazard industries. This is a unique opportunity to broaden your professional impact while helping clients achieve safer, more resilient operations.
Responsibilities- As part of client-engagement teams, you’ll take the lead on designing and delivering process safety solutions. You’ll use your deep technical knowledge to help clients identify hazards, assess risk, and embed safety practices that protect people and drive business value.
- Acting as a trusted advisor to senior executives and operational leaders, linking operational risk outcomes to business performance.
- Working across the asset lifecycle – from design and build to operations, maintenance, modification, and decommissioning – to improve safety resilience.
- Building tailored solutions aligned with client culture, business needs, and regulatory standards.
- Contributing to thought leadership on PSM methodologies and mentoring junior colleagues.
- Mentorship and collaboration with leading process safety experts.
- A structured talent-development framework, including access to our Consulting Development Academy .
- Competitive salary, medical cover, allowances, disability benefits, a discretionary annual incentive, and flexible work policies.
- Opportunities to work on regional and international projects , growing your expertise and network.
You are a recognised Subject Matter Expert in Process Safety , with deep technical competence in Process Hazard Analysis (PHA) and extensive experience applying process safety principles in operational environments.
Your experience and expertise include- Extensive practical experience in PHA techniques (HAZOP, HAZID, LOPA) – ideally as a qualified HAZOP Chair or PHA facilitator .
- Proven success implementing PSM systems and risk management in high-hazard industries (Oil & Gas, Chemicals, Petrochemicals, or similar).
- Operational experience in international companies, with exposure across the full asset lifecycle.
- Credibility from having worked in industry (e.g., operations, engineering, or process safety roles) and, ideally, consulting experience.
- Strong understanding of the risk dimensions of PHA and the ability to present technical findings as clear, actionable advice.
- Excellent facilitation and interpersonal skills, able to work with both executives and technical teams.
- Organised, analytical, and outcome-focused, comfortable managing complex projects.
- Bachelor’s degree in Engineering or equivalent (MSc or MBA preferred).
- ~15+ years of experience in process safety, operational risk, or engineering.
- Fluent in English (additional languages a plus).
- Willingness to travel extensively.
We are implementers and change-makers. Our passion lies in helping clients solve their most complex challenges and engaging organisations – from the boardroom to the shop floor – to build resilience and sustain improvements. Our industry expertise (in metals & mining, chemicals, oil & gas & energy, power & utilities, agribusiness and consumer goods, industrial & manufacturing, and private equity), combined with our consulting know-how in risk, operations, and sustainability, helps clients turn pain points into actionable roadmaps that deliver real, measurable results. Our transformational solutions in leadership development, operational risk management, operational excellence, and ESG/sustainability are powered by coaching, capability building, culture change, and digital innovation.
Protect. Transform. Sustain.
Join us to make a difference – safeguarding lives, assets, and the environment while building resilient, high-performing operations.
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Team Leader/Subject Matter Expert - Contact Center
Posted 12 days ago
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Team Leader/Subject Matter Expert - Contact Center
Job Description
As a Contact Centre Team Leader, you'll lead, motivate and support a team of 15+ contact center advisors, ensuring that great customer service and support is delivered. You and your team will provide key support to our client/s. You will coach, support and develop your team, build their abilities and drive continuous improvement through the adoption of identified best practice.
**ESSENTIAL FUNCTIONS / CORE RESPONSIBILITIES**
**Manage the daily operations and admin as assigned but not limited to**
+ Effectively managing Emails, paperwork, leave requests, planning, scheduling meetings, taking minutes, monitoring performance, reporting and many other organizational tasks.
+ Actively involved on client calls and ensuring that updates are timely communicated to the team.
+ Working with colleagues to effectively run the Contact Centre operation.
+ Interviewing and hiring of appropriate candidates, as needed.
+ Preparing reports and analyze data to self-understand and assist in management decisions.
**Lead and motivate the team**
+ Providing supervision and motivation of staff to foster competitive performance.
+ Ensuring efficient and productive handling of inbound call volumes.
+ Ensuring that staff has the necessary information, knowledge, and training to efficiently perform all job responsibilities.
+ Maintaining knowledge of all programs/projects the inbound unit supports.
+ Assisting staff with questions pertaining to the products and services offered by the client.
+ Receiving and responding promptly and accurately to all customer inquiries and complaints via telephone that have escalated to the supervisory level.
+ Institute creative & innovative Rewards & Recognition activities for enhancing team performance and motivation.
+ Fostering career advancement of the team members within the project or lateral movement.
**Manage performance**
+ Ensuring that all key metrics of performance as per the Client SLA are met and exceeded through regular call monitoring, observed listening, live chat for query handling and on call assistance.
+ Set objectives and clearly communicate goals and targets that needs to be met every month.
+ Providing ongoing guidance, training, coaching, mentoring and motivation to staff to ensure exceptional performance and maximum utilization of resources.
+ Monitoring and assessing staff performance and administer feedback daily, monthly and yearly.
+ Monitoring, reviewing and providing regular feedback to staff on the quality and quantity of work produced.
+ Assessing staff capabilities and identifying appropriate development and training opportunities.
+ Setting the appropriate expectations of conduct and professionalism through example.
+ Managing people metrics within the team eg. attrition, absenteeism, schedule adherence etc.
+ Working with other supervisors and management team members to support advisors and maximize customer satisfaction.
**Client Management**
+ Effectively managing and strengthening relationship with the Client representative/s.
**CANDIDATE PROFILE**
Firstly, you are a people person and a reliable teammate. You are adaptable and a clear communicator, able to tailor your approach dependent on each individual team member. You have a passion for customer service and getting it right for our client/s.
- You have 1+ years of experience in Customer Service in exceeding metrics and leading individuals to success within a BPO setting.
- A bilingual English (B2+ level) and native Arabic speaker.
- Strong communication and interpersonal skills.
- Graduate preferred in any stream and above. A combination of education and experience may be substituted and/or considered in lieu of the bachelor's degree.
- You infuse joy and humor wherever possible, making work genuinely fun for yourself and those around you.
- Analytical, efficient and thorough.
- Proficiency with technology, especially computers, software applications, and phone systems.
**Disclaimer**
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel working within this job title.
Concentrix is an equal opportunity employer. Concentrix evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability status or any other legally protected characteristic.
Location:
ARE Abu Dhabi - Building Khaleej Area
Language Requirements:
Time Type:
Full time
**If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents (
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Subject Matter Expert - ESP & Artifical Lift (Remote)
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About nybl:
We are developing an AI ecosystem that enables businesses in any industry to deploy artificially intelligent solutions using our platform and applications. Our mission is to develop science-based, physics-informed AI applications for the critical industries that humanity needs to survive and thrive. By enabling brilliant people to solve pressing humanitarian, energy, scientific, and sustainability challenges, we’re proving the power of AI to make a global impact. Our vision is to democratize AI — unlocking the full depth and breadth of human potential through our suite of AI applications, a world-class ML framework and platform that transforms data into actionable intelligence.
About the role:We are seeking a highly experienced Subject Matter Expert (SME) in Electrical Submersible Pump (ESP) systems to join our team and guide the development of Lift.ai, an advanced analytical and machine learning platform for production optimization. This role is designed for a senior professional who combines deep ESP domain knowledge with the ability to collaborate on the integration of cutting-edge ML solutions that deliver unprecedented value to operators.
Responsibilities:- Act as the technical authority for ESP design, operations, and optimization within n.lift
- Define and validate core ESP performance calculations, physics-based workflows, and diagnostic methodologies.
- Work with data scientists to embed machine learning models into engineering workflows, ensuring results are physically sound, explainable, and actionable.
- Review and validate hybrid (physics + ML) algorithms for optimization, prediction, and anomaly detection.
- Provide domain expertise to ensure ML outputs align with real-world ESP performance, failure modes, and operational constraints.
- Collaborate with software engineers to translate ESP physics, correlations, and field practices into scalable algorithms and user-facing tools.
- Mentor junior engineers and contribute to knowledge transfer across the team.
- Support product strategy by identifying high-value use cases for analytics + ML integration in artificial lift management.
- Represent Lift.ai as an industry thought leader in the application of advanced analytics and ML to ESP systems.
- 10+ years of direct experience with ESP systems (design, operations, optimization, or troubleshooting).
- Expertise in ESP diagnostics (power, current, voltage, vibration, performance degradation, failure mechanisms).
- Solid understanding of petroleum production systems, artificial lift methods, and multiphase flow.
- Experience collaborating with software/ML teams on applied AI solutions (not required to build ML models, but able to guide and validate them technically).
- Strong analytical mindset with the ability to balance physics-based engineering and data-driven insights.
- Excellent communication skills for cross-functional collaboration and client engagement.
- Advanced degree (preferred) or equivalent experience in Petroleum, Electrical, or Mechanical Engineering.
This is a strategic role at the intersection of engineering expertise and machine learning innovation. As SME, you will ensure that Lift.ai becomes the industry’s most trusted AI-driven ESP optimization and system health platform, combining the best of engineering science with the power of data.
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Subject Matter Expert - ESP & Artifical Lift (Remote)
Posted today
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About nybl:
We are developing an AI ecosystem that enables businesses in any industry to deploy artificially intelligent solutions using our platform and applications. Our mission is to develop science-based, physics-informed AI applications for the critical industries that humanity needs to survive and thrive. By enabling brilliant people to solve pressing humanitarian, energy, scientific, and sustainability challenges, we’re proving the power of AI to make a global impact. Our vision is to democratize AI — unlocking the full depth and breadth of human potential through our suite of AI applications, a world-class ML framework and platform that transforms data into actionable intelligence.
About the role:We are seeking a highly experienced Subject Matter Expert (SME) in Electrical Submersible Pump (ESP) systems to join our team and guide the development of Lift.ai, an advanced analytical and machine learning platform for production optimization. This role is designed for a senior professional who combines deep ESP domain knowledge with the ability to collaborate on the integration of cutting-edge ML solutions that deliver unprecedented value to operators.
Responsibilities:- Act as the technical authority for ESP design, operations, and optimization within n.lift
- Define and validate core ESP performance calculations, physics-based workflows, and diagnostic methodologies.
- Work with data scientists to embed machine learning models into engineering workflows, ensuring results are physically sound, explainable, and actionable.
- Review and validate hybrid (physics + ML) algorithms for optimization, prediction, and anomaly detection.
- Provide domain expertise to ensure ML outputs align with real-world ESP performance, failure modes, and operational constraints.
- Collaborate with software engineers to translate ESP physics, correlations, and field practices into scalable algorithms and user-facing tools.
- Mentor junior engineers and contribute to knowledge transfer across the team.
- Support product strategy by identifying high-value use cases for analytics + ML integration in artificial lift management.
- Represent Lift.ai as an industry thought leader in the application of advanced analytics and ML to ESP systems.
- 10+ years of direct experience with ESP systems (design, operations, optimization, or troubleshooting).
- Expertise in ESP diagnostics (power, current, voltage, vibration, performance degradation, failure mechanisms).
- Solid understanding of petroleum production systems, artificial lift methods, and multiphase flow.
- Experience collaborating with software/ML teams on applied AI solutions (not required to build ML models, but able to guide and validate them technically).
- Strong analytical mindset with the ability to balance physics-based engineering and data-driven insights.
- Excellent communication skills for cross-functional collaboration and client engagement.
- Advanced degree (preferred) or equivalent experience in Petroleum, Electrical, or Mechanical Engineering.
This is a strategic role at the intersection of engineering expertise and machine learning innovation. As SME, you will ensure that Lift.ai becomes the industry’s most trusted AI-driven ESP optimization and system health platform, combining the best of engineering science with the power of data.
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Subject Matter Expert (Project Based) - Contract Role
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About Contango
Contango is your strategic partner for transformative growth and sustained success.
Our team excels in providing comprehensive growth solutions that combine global best practices with local market expertise. We focus on long-term value creation, empowering our clients to achieve the full scale of their aspirations.
As a trusted advisor to ADQ's portfolio companies, Contango helps CEOs drive strategic growth initiatives, navigate disruptive forces, and maximize long-term value creation.
Role OverviewWe are expanding our freelance bench of Subject Matter Experts (SMEs) to support project-based consulting engagements across a variety of sectors. This role is ideal for professionals with deep industry expertise and the ability to advise on high-level strategic topics.
Areas of Expertise Required- General Consulting
- ESG & Sustainability
- Financial Modelling
- Innovation & R&D
- Supply Chain & Procurement
- Artificial Intelligence
- Cybersecurity
- Data & Analytics
- Digital Transformation
- Energy & Utilities
- Food & Agriculture
- Public Sector
- Transport & Logistics
- HRBP
- Finance
- Marketing
- Serve as an expert advisor to project teams and clients
- Provide strategic input and technical insights to shape deliverables
- Conduct research, analysis, and solution design in your area of expertise
- Participate in client meetings, workshops, and working sessions as needed
- Deliver high-quality insights under tight timelines
- Minimum 5+ years of professional experience in one of the listed domains
- Proven track record of delivering impact in complex, multi-stakeholder environments
- Strong communication and stakeholder engagement skills
- Fluency in English; Arabic is a plus
- Prior consulting experience is a strong advantage
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.
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