22 Reporting Specialist jobs in the United Arab Emirates

Fluid Codes is the APEX Channel Partner of ANSYS part of Synopsys, authorized with exclusive rights to distribute and provide support for ANSYS Engineering Simulation Solutions in the Middle East and North Africa. (fluidcodes.com).

Ansys is the global leader in engineering simulation, helping the world’s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.

JOB SUMMARY:

We are seeking Business Intelligence Analyst to execute the implementation of BI dashboards, process analytics, and reporting workflows . The ideal candidate will collaborate closely with business stakeholders to model processes, integrate data sources, and deliver actionable insights for Sales, Marketing, Technical, and Operations teams.

Key Responsibilities

• Data Integration: Connect and maintain data from multiple sources (Salesforce, HubSpot, Zoho, Google Sheets) into a unified reporting system.
• Build and Manage BI Solutions: Develop interactive dashboards and reports using Power BI, Salesforce or equivalent tools, ensuring clear visualization of key business metrics.
• Process Analytics: Analyze business workflows, define KPIs, and provide actionable insights to improve efficiency and automation opportunities.
• Performance Monitoring: Deliver real-time analytics for Sales, Marketing, and technical teams, including trend analysis and forecasting.
• Stakeholder Collaboration: Work closely with department heads to capture requirements, deliver insights, and train teams on BI tools for self-service reporting.

Qualifications & Skills

• Education: Bachelor’s degree in Computer Science, Information Systems, Business, Data Analytics, or related field.
• Experience: 3+ years in BI development, process analytics, or similar roles.
• Technical Skills:
  • Proficiency in Power BI (or Tableau/Qlik), DAX , and data modelling.
  • Strong experience with ETL processes, data preparation, and transformation for analytics.
  • Solid understanding of SQL and relational databases for data extraction and manipulation.
  • Familiarity with Salesforce, HubSpot, Zoho Projects, and other business systems for data integration.
• Soft Skills: Strong analytical thinking, problem-solving, and stakeholder communication skills.

Founded in 1997, Fluid Codes is an Ansys Apex Channel Partner serving the needs of the engineering community in the Middle East & Africa.

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Leads the strategic application of data and analytics to enhance decision-making and operational excellence across DP World's global operations. This role sets the vision for data-enabled transformation initiatives, guiding a portfolio of analytics projects aligned with enterprise priorities, including IoT optimisation, AI adoption, and global platform rollouts such as Zodiac.

In addition, the role plays a pivotal part in driving global innovation, embedding analytics and data intelligence into the ideation, validation, and scaling of breakthrough initiatives. As a strategic partner to the Innovation Office, the incumbent helps ensure that innovation efforts are evidence-based, outcome-driven, and aligned with DP World’s growth and digital transformation ambitions.

KEY ACCOUNTABILITIES:

Lead strategic business intelligence initiatives to unlock operational efficiencies and growth opportunities across terminals, platforms, and innovation programs.

Own the analytics vision and roadmap for key programs (e.g. Zodiac, IoT optimisation, AI projects and more), ensuring alignment with enterprise KPIs and DP World’s digitalisation agenda.

Use Power BI and other visualisation tools to develop interactive dashboards that highlight trends, support performance improvement and inform strategic planning.

Promote the use of analytics tools and foster a culture of data-driven decision making and continuous improvement.

Define and govern data structures, models, and frameworks to enhance performance visibility across business units, enabling real-time monitoring and global benchmarking

Partner with Technology and BI teams to prioritise and influence development of analytics platforms, while staying focused on business value delivery rather than execution.

Champion the integration of analytics within global innovation programs, collaborating with the Innovation Office, Innogate, and cross-functional teams to evaluate and scale high-impact ideas.

Represent Global Operations in steering committees and leadership forums, presenting insights, progress updates, and forward-looking analytics strategy.

Sponsor and mentor regional analytics communities, nurturing a culture of innovation, data maturity, and best practice sharing across business units.

Support executive communications with impactful storytelling, strategic dashboards, and insights tailored to C-suite and Board-level needs.

Contribute to enterprise transformation and innovation campaigns (e.g. Innovation Live, Champions Campaign) by embedding analytics in idea validation, tracking, and decision-making.

Act as senior advisor and business partner to regional heads, COOs, and cross-functional leaders, embedding analytics into strategic decision-making.

Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviours in harmony with DP World’s Principles, values and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World’s Code of Conduct and Ethics policies

Perform other related duties as assigned

QUALIFICATIONS, EXPERIENCE AND SKILLS:

Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics or a related field.

5-10 years experience in the analysis of business processes and interfaces including, but not limited to container terminal operations, terminal operating systems (Navis, Zodiac, etc), interpreting system documentation, data and/or business process modelling, and data flow/context diagramming.

Minimum 2 years of experience in Data Analysis and visualization (Power BI, SAP Business Intelligence reports or comparable BI applications).

Excellent Analytical Skills.

Proficiency with relational database concepts and report writing tools.

Understanding on Terminal Planning and Operations processes, standards and procedures. Understanding on Operational and Commercial KPIs and definitions.

Ability to work and communicate within multi-cultural and multi-national teams within DP World head office as well as DP World business units and regional offices around the world.

Strong organizational skills. Competent with mainstream office automation, project management, presentation, and communications tools. Executes all job responsibilities and assignments promptly, reliably, and ethically.

Flexible and adaptable, functions well as a team player in multi-cultural team, remains calm and cheerful under stressful conditions.

Effective communication and reporting fluently in English language.

DP World is committed to the principles of Equal Employment Opportunity (EEO). We strongly believe that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, race, religion or belief.

By submitting your resume and application information, you authorize DP World to transmit and store your information in the world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualification for this or other job vacancies.

• Job Identification 20757
• Posting Date 10/02/2025, 05:17 PM
• Locations JAFZA LOB 17 - Fifth Floor, Dubai, AE

Key Responsibilities

Dashboarding & Reporting

• Design, build, and maintain interactive dashboards in Power BI.
• Automate recurring reports and develop self-service analytics tools.
• Ensure data accuracy, consistency, and timeliness.

Data Analysis & Insight Generation

• Analyze trends and performance across channels.
• Identify growth opportunities, margin risks, and operational inefficiencies.
• Support forecasting, budgeting, and strategic planning.

Data Governance & Quality

• Maintain data integrity across multiple sources including ERP, CRM, and vendor portals.
• Support data migration, cleansing, and enrichment initiatives.

Qualifications & Experience:

• Bachelor's degree in Data Science, Business Analytics, Computer Science, or related field.
• 1-3 years of experience in data analysis, preferably within IT or FMCG distribution.
• Advanced proficiency in Power BI, DAX, Tableau etc. data modelling tools.
• Strong Excel skills; experience with SQL, Python, R or other analytics tools is a plus.
• Familiarity with SAP system.

Preferred Attributes:

• Excellent communication and organisational skills with ability to work across teams.
• Experience working with multi-brand, multi-channel datasets.
• Understanding of distribution KPIs.
• Ability to work independently and manage multiple priorities.

About Us

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

We are seeking a Business Intelligence Developer who performs end-to-end development and implementation of data dashboards and related reporting components. The role involves close collaboration with internal teams, ensuring alignment with business objectives, and driving continuous improvement in analytics and reporting capabilities.

1. Requirement Gathering & Planning:
   • Conduct meetings with various departments and stakeholders to gather requirements, define use cases, and identify key performance indicators (KPIs).
   • Prepare a detailed work plan that outlines deliverables, timelines, and responsibilities.
2. Integration with Existing Data Sources:
   • Connect and integrate with existing internal data sources and systems.
   • Ensure secure, stable, and optimized data connections suitable for reporting purposes.
3. Data Preparation and Understanding:
   • Perform data collection, profiling, cleaning, and transformation.
   • Understand the business logic and rules that govern data to prepare datasets ready for analysis and visualization.
4. Dashboard Design and Development:
   • Develop user-friendly, interactive dashboards tailored to serve a wide range of audiences, including: Executive Leadership (Ministry Level), Undersecretary Level, Directors and Managers, All Internal Employees, External Government Entities, Public Users and Website Visitors (where applicable).
   • Ensure dashboards are responsive, intuitive, accessible, and aligned with customer branding and UX standards.
   • Design for Arabic/English language preferences and device compatibility (desktop, tablet, mobile).
5. Data Validation and User Acceptance Testing (UAT):
   • Validate data accuracy and consistency across all visuals. Coordinate and facilitate UAT sessions to ensure that the deliverables meet the functional and business requirements.
6. Deployment and Publishing:
   • Publish dashboards to the appropriate server or reporting platform. Implement role based access control and ensure the dashboards are accessible to intended users.
7. Documentation:
   • Prepare comprehensive documentation, including:
     • User guide/manual
     • Technical documentation
     • Data source and logic references
8. Training Support:
   • Conduct structured training sessions for different user groups to ensure effective usage of the dashboards and self-service capabilities where applicable.
9. Ongoing Technical Support:
   • Provide continuous technical support during and post-deployment, including troubleshooting, performance tuning, and implementation of minor enhancements.

• Strong experience in business intelligence (BI) and dashboard development using tools such as Power BI, Tableau, or similar platforms.
• Proficiency in SQL and data modeling techniques.
• Experience with integrating and transforming data from multiple sources.
• Understanding of data governance, access control, and security best practices.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Bilingual communication skills (Arabic and English) are preferred.

• Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work-life balance and a focus on employee well-being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently Substream Specialist Treasury and Reporting to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Responsibilities:

• Execute daily internal and external fiat payments (including client transactions)

• Process deposit/withdrawal requests and liaise with banks on all related operations

• Ensure accuracy and completeness of payment data and documentation

• Support the opening and ongoing maintenance of banking relationships (including KYC preparation)

• Configure and support payment routes for client in/out flows

• Monitor compliance with internal procedures and SLAs for payment execution

• Maintain the payment calendar and support cash flow documentation

• Participate in treasury process automation (bank integrations, templates, alerts, reporting)

• Act as a reliable backup for the senior treasury officer during absences or peak workloads

Are you ready to embark on a thrilling adventure as a Senior Business Intelligence Consultant? Join our dynamic team based in Dubai, where you'll have the opportunity to travel the world, partnering with top-tier clients to unlock their data-driven potential.

As a Senior Business Intelligence Consultant, you will be at the forefront of transforming businesses through advanced analytics, data management, and strategic insights. Your expertise in business intelligence and passion for delivering impactful solutions will make you an invaluable asset to our global clientele.

Collaborate closely with clients to understand their business objectives and challenges, and translate them into data-driven solutions.

Conduct in-depth data analysis, employing advanced techniques and tools to extract valuable insights and identify growth opportunities.

Design and develop robust business intelligence solutions, including data models, dashboards, and reports, to provide actionable insights to stakeholders.

Lead end-to-end project implementations, including requirements gathering, solution design, development, testing, and deployment.

Provide strategic guidance and consulting services to clients, advising on best practices, industry trends, and data-driven decision-making strategies.

Conduct workshops, trainings, and knowledge-sharing sessions to empower clients in utilizing business intelligence tools and technologies effectively.

Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or a related field.

Minimum of 7 years of experience in business intelligence, data analytics, and consulting roles.

Strong expertise in Data Vault modeling technique, including the ability to design and implement Data Vault structures for scalable and flexible data integration.

Proficient in data visualization tools such as Tableau, Power BI, or QlikView.

Solid understanding of SQL, ETL processes, and data warehousing concepts.

Experience in building and optimizing Data Vault-based data warehouses, including the development of Data Vault models, satellite tables, and hub-link-schema relationships.

Familiarity with automation tools and frameworks for Data Vault modeling and development.

Strong knowledge of advanced analytics techniques, including predictive modeling, statistical analysis, and machine learning.

Proven track record of successfully delivering end-to-end business intelligence projects using Data Vault methodology and driving positive business outcomes.

Excellent communication and presentation skills, with the ability to effectively engage with clients at all levels of the organization.

Flexibility and willingness to travel extensively to client locations worldwide.

We value your expertise in Data Vault modeling technique as it plays a crucial role in our data integration and warehousing strategies. Join our team of talented consultants, and together, we'll revolutionize the way businesses harness the power of data.

Note: Please submit your resume, along with a cover letter detailing your relevant experience and your availability for international travel. Only shortlisted candidates will be contacted for further assessment.

Data Analyst-Business Intelligence and Process Automation

University City , United Arab Emirates

Sharjah Performing Arts Academy is seeking a full-time Data Analyst – Business Intelligence and Process Automation.

The Data Analyst plays a key role in supporting evidence-based decision-making by collecting, organizing, analyzing, and presenting statistical and institutional data. The role is responsible not only for preparing reports and insights but also for designing and developing automated data solutions and systems that streamline data collection, integration, and reporting processes. The analyst ensures compliance with Ministry of Higher Education and Scientific Research (MOHESR) requirements, supports accreditation and ranking submissions, and contributes to continuous improvement of data quality and institutional effectiveness.

Reporting to: Senior Manager - Quality Assurance and Strategy

Responsible for: Improvement of data quality

Works Closely with: Senior Manager - Quality Assurance and Strategy

Start Date: 5 January 2026

Employment Type: Full Time

Closing date for applications: 10 November 2025

• Join a talented team in a supportive and collaborative environment
• No unnecessary bureaucracy, no pointless tools, and flexible working hours
• Focus on meaningful work with real responsibilities and autonomy
• Enhance your expertise across diverse aspects of the performing arts industry
• Contribute to creating impactful content that supports our community daily
• Embrace real challenges and responsibilities in a dynamic, rapidly evolving academy

The UAE is a global leader in the oil and gas industry, with increasing investment in technology and data-driven decision-making. This careers overview summarizes the role of a business intelligence analyst in UAE oil and gas, highlighting how data transforms into actionable insights to improve operational efficiency and strategic decision-making.

• Business Intelligence Analyst – Oil & Gas
• Data Analyst – Energy Sector
• Senior BI Analyst – UAE Petroleum Company
• BI Reporting Specialist – Oil & Gas Projects
• Energy Data Analyst – UAE
• Operations Analyst – Oil & Gas Industry
• BI Developer – UAE Energy Firms

• Education: Bachelor’s or Master’s degree in Business Analytics, Computer Science, Data Science, or a related field.
• Experience: 2–6 years of experience in business intelligence, analytics, or reporting, preferably in the energy sector.
• Technical Skills: Proficiency in SQL, Power BI, Tableau, SAP, and data modeling.
• Analytical Skills: Ability to analyze complex datasets and generate actionable insights for management.
• Industry Knowledge: Familiarity with oil and gas operations, production metrics, and KPIs.
• Soft Skills: Strong communication, problem-solving, and teamwork skills.
• Certifications (Optional): CBIP, Microsoft Power BI, or Tableau certifications enhance employability.

• Salary Range: AED 18,000 – AED 35,000 per month.
• Housing Allowance: Some companies provide housing or include it in the salary package.
• Transportation: Travel allowance or company-provided transport.
• Medical Insurance: Comprehensive coverage for employees and dependents.
• Annual Bonus: Performance-based incentives.
• Flight Tickets: Yearly travel allowance to the home country.
• Professional Development: Access to workshops, certifications, and training in analytics and oil & gas operations.

Leading UAE oil and gas companies such as ADNOC, Emirates National Oil Company, Dana Gas, and Crescent Petroleum are frequently hiring business intelligence analysts to strengthen their data-driven decision-making capabilities. To apply, candidates should visit the official career pages of these companies or apply through UAE job platforms. Sample company link: Apply for Business Intelligence Analyst Jobs – UAE Oil & Gas Careers. Before applying, ensure your resume emphasizes your analytics skills, experience with BI tools, and familiarity with the energy sector.

Working as a business intelligence analyst in UAE oil and gas companies is an excellent opportunity for professionals looking to advance their careers in a high-demand, lucrative sector. With attractive salaries, global exposure, and opportunities to work on large-scale energy projects, this role offers both professional growth and financial rewards. If you have the qualifications and passion for analytics, now is the perfect time to apply and join a leading UAE energy firm, contributing to data-driven strategies that shape the future of the industry.

Q1: What is the average salary for BI analysts in UAE oil and gas? A: Salaries typically range from AED 18,000 to AED 35,000 per month, depending on experience.

Q2: Do UAE oil and gas companies provide visa sponsorship? A: Yes, most companies offer full visa sponsorship and relocation support.

Q3: Which companies hire business intelligence analysts in UAE? A: Leading firms include ADNOC, Dana Gas, Emirates National Oil Company, and Crescent Petroleum.

Q4: What technical skills are most important for BI roles? A: SQL, Power BI, Tableau, SAP, and data visualization are highly valued.

Q5: Can international candidates apply for BI analyst positions in UAE oil and gas? A: Absolutely, UAE energy companies welcome skilled professionals from around the world.

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.

• 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.

• 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