Showing 4 Analysis jobs in Dubai
Installation Analysis Engineer
Posted 11 days ago
Job Viewed
Job Description
The Installation Analysis Engineer applies their conceptual knowledge of Installation Analysis and, with a moderate level of guidance and direction from colleagues and leadership, is responsible for solving a range of straightforward Installation Analysis problems. They will be responsible for analyzing possible solutions using standard procedures and building knowledge of the company, processes, and customers. The Installation Analysis Engineer understands critical business drivers and applies this knowledge to solve problems in straightforward situations by analyzing possible solutions using technical experience, judgment, and precedents.
**Key Tasks and Responsibilities**
+ Perform FEED, Studies, and detailed design engineering, analysis, and calculations on more complex and demanding engineering tasks
+ Apply knowledge and skills to complete varied assignments
+ Prepare clear and accurate detailed design calculations and analyses including design reports and procedures
+ Prioritize and organize own work to meet deadlines
+ Focus on completing work within budgets
+ Communicate and explain information in straightforward engineering activities
+ Gain familiarity with the project scope of work, specifications, schedule, and all inter-discipline requirements; including identifying concerns as early as practicable
+ Recognize changes to scope and notify the Discipline Lead Engineer
+ Interface with all disciplines to develop clash free designs
+ Interface with other departments to obtain input for Discipline designs and drawings
+ Document substantive communications (communications that result in significant decisions or assignment of actions) and forward copies to Discipline Lead Engineer and Discipline Manager
+ Provide required bid inputs as directed
+ Prepare sketches of detailed design to guide Designers
+ Assist procurement personnel in producing discipline equipment, materials, and services; Procurement assistance includes preparing requisitions, evaluating technical quotations, preparing queries, compiling bid tabulations and recommendations, preparing purchase requisitions, and coordinating with Procurement to expedite vendor documents, as directed by Discipline Lead Engineer
+ Review MTOs for requisitions
+ Assist in updating weight report based on receipt of vendor information
+ Check drawings
+ Check engineering performed by others within the Discipline
+ Review vendor subcontractor submittals, checking for compliance with project specifications and providing comments as necessary
+ Perform design verification through single-discipline checks and assist with inter-discipline checks (IDC)
+ Keep the Lead Engineer apprised of all activities, progress, and concerns
+ Check final subcontractor and vendor data manuals to ensure that all requested data has been received and approved
+ Capture lessons learned and enter into MDR's Lessons Learned system
+ Develop an awareness of costs related to own work and of the discipline
+ In FabCSE, perform/review designs, analyses, evaluations, calculations, and procedures such as:
+ Erection sequences for jackets, topsides, and other structures
+ Loadout procedures and guidance during the operations
+ Construction lift analyses and procedures for activities such as floatover, stackings roll-ups, etc.
+ Weighing procedures
+ Design and detailing of miscellaneous fabrication yard items
+ Crane arrangements and rigging arrangements
+ Trailer arrangements/operations, including drawings and procedures
+ Additional skills (Preferable, not mandatory) - Perform pipeline Installation Engineering designs, analyses, evaluations, calculations, and procedures for transporting and installing (including installation aids);
+ Submarine pipelines
+ Risers
+ Spools
+ PLETS and manifolds
+ Cables
+ Additional skills (Preferable, not mandatory) - Perform Structural Installation Engineering designs, analyses, evaluations, calculations, and procedures for loadout, transportation, and installation (including installation aids) of offshore structures, including barge upgrades/modifications
+ Additional skills (Preferable, not mandatory) - Perform Naval Architecture engineering designs, analyses, evaluations, calculations, and procedures related to all aspects of marine operations covering loadout, transportation, and installation, including barge upgrades
Reports to: Manager (Construction Support Engineer)
Liaise With: All design/drafting disciplines, all Engineering disciplines, Fabrication groups, and Document Control
Supervises: Trainee Engineers
**Essential Qualifications and Education**
+ Bachelor's degree in Naval Architecture, Civil/Structural/Mechanical Engineering (Master's degree preferred)
+ 3-8 years of experience in oil and gas with a major contractor or consultant predominantly performing detail design
+ Familiar with the content and application of standards, codes, and guidelines as applicable
+ Knowledge of many basic design techniques and analysis methods
+ Preferably Registered Engineer in Training (ElT) or member of a professional engineering society
#LI-JG2
Our ingenuity fuels daily life. Together, we've forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably.
For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries.
McDermott is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, genetic information, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Is this job a match or a miss?
Business Analysis and Data Analyst
Posted today
Job Viewed
Job Description
Overview
Job Title: Business Data Analyst (Banking) - Digital Transformation
Job Type: Full-Time Contract (1 year, renewable)
Location: On-site, Dubai, Dubai, United Arab Emirates
Job Summary:
Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.
Key Responsibilities- Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
- Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
- Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
- Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
- Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
- Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
- Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.
- Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
- 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
- High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
- Proven experience working with core-banking systems and exposure to digital transformation projects.
- Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
- Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
- Strong analytical and critical thinking abilities with excellent stakeholder management.
- Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
- Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
- Expertise in digital banking products, customer journey mapping, and process optimization.
Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.
#J-18808-LjbffrIs this job a match or a miss?
Senior Business Analysis - Dubai, United Arab Emirates
Posted today
Job Viewed
Job Description
The Senior Business Analyst leads a team to undertake the review and analysis of the organisation’s business intentions, services, processes and information needs to identify changes that lead to business improvements.
Department: Project Management
Compensation: AED 21,667 P/M
Responsibilities- Enhance business systems by providing accurate information about business needs and priorities.
- Analyse and consolidate information to develop business cases to support achievement of business objectives.
- Extract data reports and review information to identify trends, system pain points and opportunities for business improvement across the business.
- Provide plain language advice on technical issues to non-technical audiences.
- Work with key stakeholders to identify how changing business requirements may be delivered with existing solutions.
- Coordinate process improvement test cases, liaising with DSG and client business units, evaluating and reporting on potential process improvement initiatives and instituting systems changes.
- Develop and use information material such as process descriptions, checklists, templates and guides to assist staff with implementing defined processes.
- Guide and support team members to provide customer-focused services.
- A bachelor’s or master’s degree in computer science or a related field is a good starting point for this position.
- Escalate issues, keep informed, advise and receive feedback.
- Inspire and motivate team, provide direction and manage performance.
- Mentor, lead and support the team and share information and research.
- Ensure consistent and coordinated customer services through teamwork and collaboration.
- Resolve issues and provide solutions to problems.
- Provide information regarding agency sector-wide rules and standards.
- Represent the organisation in an honest, ethical and professional way and encourage others to do so.
- Demonstrate professionalism to support a culture of integrity within the team/unit.
- Ensure that others understand the legislation and policy framework within which they operate and act to prevent and report misconduct, illegal and inappropriate behaviour.
Is this job a match or a miss?
Course: Effective Business Decisions Using Data Analysis
Posted today
Job Viewed
Job Description
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
Is this job a match or a miss?
Be The First To Know
About the latest Analysis Jobs in Dubai !